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THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF OPPORTUNITY The Romanian Agency for International Development Cooperation - RoAid GEORGIA Analizǎ Oportunitate (Studiu Fezabilitate Faza I) extindere parc eolian Qartli - continuare analizǎ sector energetic Georgia A Review of the Georgian Energy Sector and Development Opportunities - Wind Energy Potential in Georgia

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Page 1: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF OPPORTUNITY

The Romanian Agency for International Development Cooperation - RoAid

GEORGIA

Analizǎ Oportunitate (Studiu Fezabilitate Faza I) extindere parc eolian Qartli - continuare analizǎ sector energetic Georgia

A Review of the Georgian Energy Sector and Development Opportunities - Wind Energy Potential in Georgia

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The study was financed by the Government of Romania, through The Romanian Agency for International Development Cooperation - RoAid, as part of the 2019 Official Development Assistance Program

Studiul a fost realizat cu sprijinul Guvernului României prin finanțarea oferită de către Agenția de Cooperare Internațională pentru Dezvoltare – RoAid, prin programul de Asistența Oficială pentru Dezvoltare aferent anului 2019

November 2019

THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF OPPORTUNITY

The Romanian Agency for International Development Cooperation - RoAid

Analizǎ Oportunitate (Studiu Fezabilitate Faza I) extindere parc eolian Qartli - continuare analizǎ sector energetic Georgia

A Review of the Georgian Energy Sector and Development Opportunities - Wind Energy Potential in Georgia

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List of Contents

Executive Summary 6

General Considerations for Wind Turbine 9 Generator Supply

General Considerations for Wind Farm 10 Related Balance of Plant Works

10 MW Wind Farm - a review 16

20 MW Wind Farm - a review 21

50 MW Wind Farm - a review 26

Annexes

Wind Farm Assessment Report

10MW Calculated Annual Energy and Wind Turbine Generator Siting

20MW Calculated Annual Energy and Wind Turbine Generator Siting

Qartli1 Reference Calculated Annual Energy Analysis

Capital Expenditure Calculations

Operation and Maintenance Calculations

Financial Spreadsheets

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EXECUTIVE SUMMARY

This report looks into the opportunity to expand the wind power generation capacity around the Qartli wind farm (to be referred to as Qartli1), a 20MW operational wind farm situated in the Shida Kartli region of Georgia, near the town of Gori.

Qartli1, is a 20.7 MW wind farm, whose six Vestas 3.45 MW wind turbine generators have been operational since 2017. The plant, built by Vestas and China Nuclear Construction Ltd, with Mott Macdonald as supervisor, has seen capacity factors of 48-49% during its first years of operation. Its owner and developer, Georgia Energy Development Fund, has just successfully sold the project company in a public auction.

The available wind resource, as demonstrated by Qartli1’s 36-month operational performance and 30+ months of anemometer wind measurements, is ample enough to justify a feasible wind farm expansion in the adjacent area, for technical as well as financial considerations.

Ridgeline Industrial, www.ridgeline-industrial.ro, a Romanian energy consultancy, has undertaken this report in order to analyze the feasibility of expanding the Qartli1 Wind Farm in Georgia. The study is partly funded by RoAID, the Romanian Agency for International Development Cooperation. In 2018, Ridgeline Industrial has done a study called “A Review of the Georgian Energy Sector and Development Opportunities - Wind Energy Potential in Georgia”, which was funded with a RoAID grant. The study was presented to Her Excellency Natia Turnava, the Deputy Minister of Economy and Sustainable Development of Georgia, on 27-Feb-2019 by Mr. Cǎtǎlin Harnagea, RoAID’s Director General. Representatives of the Georgian Ministry of Economy and Sustainable Development, the Georgian Energy Development Fund, the Georgian National Energy and Water Supply Regulatory Commission, and other Georgian energy sector stakeholders joined Deputy Minister Turnava in the meeting.

The study, available for review on Ridgeline Industrial’s website, focused on ways to increase the share of wind energy in the Georgian energy mix, and was commissioned by RoAid to Ridgeline Industrial, in response to the Georgian energy sector stakeholders’ interest to increase energy security.

The next steps recommended included between others, an in-depth feasibility study for the expansion of the Qartli wind farm by 100 MW, and assistance with the implementation of a platform for transparent market monitoring and trading, for both natural gas and electricity.

The Georgian party expressed keen interest in undertaking further detailed analysis of advancing financially sustainable wind power projects in Georgia, as well as of market-based mechanisms to support renewable energy development. A letter sent by the Ministry of Economy and Sustainable Development of Georgia in April 2019, to RoAID, further illustrated this request, and Ridgeline Industrial was retained to conduct this follow-on report, the expansion of the existing wind-farm, as a concrete expression of the conclusions enunciated in the initial study.

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This report should constitute a useful document to attract investment in the expansion of the wind farm, whether from the Georgian Energy Development Fund or outside investors. The Georgian Energy Development Fund and its partners, as the main beneficiaries of this report, can take the conclusions resulted from the detailed wind resource and financial analyses illustrated here, and attract outside investment if they so wish, in order to develop approximately 100 MW in additional wind farm capacity.

Our assessment is that subject to an update of the existing Environmental Impact Assessment (Qartli 1), a further road survey, the development of a fully bankable financial model, and the selection of turbine supply and balance of plant contractors, the project should be ready to build within the next 6-9 months.

We recommend the expansion in phases of 10/20 MW in 2021, 20MW in 2022, and 50MW in 2023, as this schedule would fit with GES, the grid operator’s interconnection constraints at the nearby 110 kV sub-station in Gori.

The 10, 20, and 50 MW sections will address in detail wind farm production figures, capital expenditure, operational expenses, as well as a full array of financial indicators. We see project returns at 9-12%, and levered equity returns at 19-23%.

It is our understanding that newly developed wind farm projects will sign power purchase agreements with ESCO (the sole electricity market operator, 100% owned by the Government of Georgia). The PPA will have duration of ten years at USD 60/MWh, with no indexation.

Qartli1 was partly financed by the EBRD, with a 10-year non-recourse project finance loan, and as result we believe a similar contractual structure will be available for future projects. We understand that the EBRD has arranged a USD 22 million syndicated loan to the project company, Qartli Windfarm LLC, in 2016, for the development, construction and operation of the wind farm. The Bank itself has provided a USD 10m tranche (the A loan), and the remaining USD 12m B loan has been syndicated to the Dutch impact investors OIKOCREDIT, Ecumenical Development Co-operative Society U.A; Triodos Groenfonds N.V.; and the Luxembourg-based Green for Growth Fund (GGF). Each took a USD 4m share.

We assume the permitting process has been partly completed and could be expedited given the immediate adjacency to the Qartli 1 wind farm.

The 10, 20 and 50 MW-range projects were simulated using the latest generation GE “Cypress” (5.3MW), Nordex (4.5 MW), Siemens Gamesa (4.1MW), Vestas (4.2MW) and Enercon (5MW) wind turbine generators, while decommissioned GE 1.5 MW WTGs were considered for a 2nd hand option. Ruisi wind farm, a project developed by Georgia Energy Development Fund with a partner, has identified 8-9 turbine locations adjacent to Qartli1, and this is where the GE 1.5MW turbines are considered.

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The Wind Assessment Report in Annex 1 presents the detailed calculations, while Annexes 2 and 3 illustrate annual energy calculations and wind turbine generator siting for the 10 and 20 MW options. The 50MW option is analyzed financially based on estimated production values, with a good degree of confidence.

Annex 4 illustrates Qartli1, as the reference wind farm, for annual energy calculations and siting.

Detailed capital expenditure calculations and operation and maintenance can be found in Annexes 5 and 6, while the financial spreadsheets behind the selected financial model figures are presented in Annex 7.

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GENERAL CONSIDERATIONS FOR WIND TURBINE GENERATOR SUPPLY

Wind turbine generator (WTG) suppliers will generally make offers specific to the selected sites, which include supply of wind turbine generators, associated equipment, and related services.

A standard offer usually refers to the delivery, unloading, installation and commissioning of the wind turbine generator. The basic offer will include the wind turbine generator model specifications, electrical system specifications; internal step-up transformers are usually included with the equipment.

Other features such as manufacturer specific monitoring systems, nacelle logos, tower markings, basic aviation lights, access equipment such as service elevators, related safety features are also usually included.

Examples of WTG ancillary equipment: n Wind SCADA (Standard Supervisory Control and Data Acquisition) - the supervisory

control and data management system for the wind farm (also see the balance of plant considerations section)

n Country Specific Features such as O&M Manuals and SCADA interfaces, various certifications

Option examples to turbine supply contracts: n Reactive power features - these may allow the turbine to generate and consume reactive

power without active power generation n Met mast interfaces n Ice detection devices n Training

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GENERAL CONSIDERATIONS FOR WIND FARM RELATED BALANCE OF PLANT WORKS

Balance of plant (BoP) is the cost of all infrastructural and facilities of a wind-farm with an exception of the turbine and all its elements. The balance of plant therefore mainly comprises of the following items:

n Crane pads/ Hard standings n Foundations n Substation Civil and Electrical including Transformers n Road upgrades and Construction n Cabling to substation and Grid including SCADA

CRANE PADS / HARD STANDINGS

Crane Pads are prepared on each turbine location so as to facilitate and accommodate the heavy lifting operations of tower, turbine and blade installation. The type of ground conditions will determine how intensive or costly the pad construction is going to be. Pads are rated by their carrying capacity, which is the amount of load they can withstand. Typical ratings will range between 200KN/m2 to 500KN/m2 mainly to provide a strong solid base for heavy cranes to do the lifting the tower and wind turbine generator. Crane Pads are usually located adjacent to the turbine foundations to facilitate turbine components lifting during turbine erection and future maintenance or repairs. These are usually unpaved, compacted layers of crushed rock.

FOUNDATIONS

Foundations are the key and critical BoP element in terms of both cost and materials for any wind farm development project. Every turbine manufacturer has its own preferred foundation type but the most commonly used are the gravity and pile-reinforced types. A turbine foundation can be described as a mass of concrete and reinforcement cast accurately to connect to the turbine tower. The basic components of a foundation are:

n Concrete: Gravel, sand, cement; n Reinforcement: Steel; n Can/Basket Assembly;

The foundation should be strong enough to provide the required base support for the rest of the structures above it. Turbine foundations have generally been designed to be founded on the weathered schist or dense gravel with a minimum allowable bearing capacity of 500 KPa for a 2.3MW wind turbine. The quality of the foundation is of the utmost importance to the wind turbine structure. The design specifications have to be strictly adhered to. The pouring of concrete has to be done carefully to prevent surface and thermal cracking to ensure final foundation is of the required quality and standard.

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SUBSTATION CIVIL AND ELECTRICAL

Substation Civil

This encompasses the building housing the other electrical, safety and operational equipment. The building is usually constructed to the required acceptable standards, as determined by the electrical providers and legislation. All elements of the substation structure from foundations, plumbing for cables, walls and roofs are usually designed and constructed as per the required specifications and quality requirements. The substation building usually consists of a single story building with shallow foundations (if ground conditions permit). The size could be around 10m by 25m for a 20MW wind farm, plus external transformer area, which requires plinths for the equipment and an earthed fencing. The building may also be facilitated with toilets, sink and possibly shower facilities and so aseptic tank may be required.

Substation Electricals

The electrical components found in the substation are mainly for facilitation of the operational aspects of the wind-farm. This usually includes components such as switchgear, power protection systems and the electric meter. A transformer may also be part of the substation components to enable step up or step down of the power output. The size of these elements is dependent on the wind-farm power capacity.

ROAD UPGRADES AND CONSTRUCTION

Roads are essential in providing access to the wind farm and specifically to the turbine location sites within the wind farm. During construction, access is required to move in material and equipment to where they are required within the site. Roads are also useful during the lifetime of the wind-farm as they are used for operational maintenance purposes. It is necessary to construct site access roads, which are strong and durable enough to withstand the heavy traffic during construction. The roads should be able to provide safe and reliable access for the rest of the lifetime of the wind farm in all weather conditions. These are usually unpaved roads made of compacted layers of crushed rock, gravel, and high-density polyethelene geogrid layer. The roads of a wind-farm may be classified into two, namely:

Site access roads

These connect the wind-farm site to the nearest public road network. The length of which depends on the closest accessible public road network beyond the wind farm. In Scotland, this may often involve the upgrade of forestry or farmers track. The upgrade exercise may comprise reconstructing several kilometers of an existing road, re-building a bridge, or more commonly moving a few lamp posts.

The Expansion of the Qartli Wind Farm – A Study of Opportunity

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Wind-farm network roads

These are the roads, which connect each turbine location to other elements of BoP within the wind-farm. They are mainly used for access and transport of materials and equipment around the site, between the turbine locations, substation, and meteorological mast. In most wind farms the road length within the wind farm is normally between 0.4 and 0.5 km per turbine, but this length may vary depending on the characteristics of the terrain.

All roads have to be constructed prior to the erection of turbines. In some cases there may exist some roads, which would require some upgrading in order to meet the standard needed for trafficking of the turbine and other wind-farm components. The general requirements for all types of roads are 4.5 meters width but slightly wider at turns and a load bearing capacity to withstand the heaviest of the wind-farm components to be trafficked through.

CABLING TO SUBSTATION AND GRID Cabling to Substation

The power generated on each turbine is transmitted to the wind farm substation. This is done by means of a cable network connecting every turbine with the substation at a medium voltage (11-36kV). The cables can be overhead but underground trenched cabling is the most common. The overall length of cable depends on the distance from the turbines to the substation and the network layout. Normally the underground cables are buried roadside as this makes installation and future maintenance simpler. As a rule of thumb the length of cable per turbine is approximated to be 0.4 to 0.5 km.

Cabling to Grid

This cabling connects the wind farm substation to the closest distribution or transmission line. It can be underground but overhead cabling is the most common. Although the underground option is mostly preferred due to its lack of visual impact, the overhead option is more economic. The length of the line depends on the distance from the wind-farm substation to the point of connection on the main grid. The cable characteristics will depend on the total wind farm rated power and the transmission voltage on the downstream of the wind farm substation.

Point of Connection

This includes the commissioning of all the components necessary to complete the connection to the distribution network, including hardware, such as switches, reinforcements, supports including protection and measuring elements. The functions of the different systems at the point

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of connection may be classified contestable and non-contestable. The non-contestable affect the security of the distribution line and must be carried out by the distribution network operator in the area. The characteristics and cost will depend on the power capacity of the connection and the singularities of the distribution network in the area.

SCADA

Supervisory Control And Data Acquisition (SCADA) is an industrial control system, which enables users to monitor and control remote operations of wind turbines and other associated systems in real time. Users can access accurate real-time information including live weather and meteorological updates as well as fully configurable Key Performance Indicators (KPIs). Comparison of past production patterns against historical current and live information helps in fine-tuning to keep equipment at optimal efficiency. Some windfarm SCADA systems provide users with rich 2D and 3D visualizations and reports with integrated real-time and historical geographical terrain maps and graphics. Turbine information including wind speed, wind direction, power blade position, temperature and vibration can be accessed on real-time. The cost of a SCADA system will depend on the complexity of the desired package.

TRANSFORMERS

Most of the wind turbines generate electricity at a low voltage level from 600 to 1000 (V). In order to reduce the losses associated with electricity transmission, each wind turbine is equipped with a transformer to step up the voltage. Usually these transformers are situated at the base of the wind turbine as this makes it more accessible for operational monitoring and maintenance works. Having the transformer located in the nacelle, very close to the generator, has the advantage of reducing transmission losses as compared to the base location. If the transformers are supplied by the turbine manufacturer, they won’t be considered as part of BoP. The transformer may also be positioned inside or adjacent to the tower and therefore it is treated as one of the turbine components. The characteristics of each transformer are fixed by the rated power generated by the turbine, the voltage level and the transformation ratio.

MISCELLANEOUS COSTS

Overheads and others

This is a classification of other supplementary but necessary facilities or services, which form an essential part of BoP but cannot be particularly categorized in to any of the main items above. They are herewith categorized under the class of overheads and others as described below.

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Borrow Pit

This is a small, on-site quarry, typically used to obtain crushed rock for the construction of roads and crane pads. Not always feasible if rock is not present or suitable, and not always allowed by planning, it can result in savings on road stone costs if a borrow pit is used.

Site-wide drainage

This may be considered as a separate cost, or could be included in the cost of the various ground works such as tracks and crane pads.

Ground Investigation

This includes boreholes, trial pits, soil samples and laboratory tests etc. Usually this is done at each wind turbine location, the substation and along the access roads prior to award of the BoP contract. Sometimes additional ground investigation work may be required during the construction phase if the ground conditions are particularly complex.

Ground Risk

There is always a risk of cost or delay relating to the ground characteristics because it is not feasible to investigate the ground in every part of the site before construction commences. Usually the contractor is expected to take the risk relating to the ground by assigning a price to it. The cost price of this risk will depend on local ground conditions regarding soil type, location of bedrock or peat-bogs for example, plus the cost of any groundwork associated with making the ground suitable for building on.

Transportation

Transport of BoP construction materials is usually included in the price of materials. The price of transport will mainly depend on the distance and remoteness of the location, local fuel costs and the types of transport being utilized for delivery.

Topographic Survey

This is usually required before and after the all ground works. The post construction topographical survey usually forms part of the BoP works but the initial one is sometimes omitted.

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Design Costs

Wind-farms are typically let as “design and build”, otherwise known as EPC-engineer, procure and construct contracts. The outline design comprises largely of the site layout, which is usually completed at the pre-tender stage. All detailed design calculations and drawings are the responsibility of the BoP contractor.

Site Facilities

The BoP contractor is usually responsible for providing toilets, offices, and other requirements for the site as a whole for the duration of site construction.

Project Management

Some wind farms are built as two contracts: BoP and Turbine Supplier Agreement. Some are constructed under one wrapped contract, with either the turbine supplier or the BoP contractor acting as the lead party and taking full responsibility for the coordination and delivery of the works. The wrapped contract is lower risk and less work for the client, but consequently more expensive. The BoP cost will depend on the option taken.

Meteorological mast

Not all wind farms have a meteorological mast, and the responsibility for the design and construction of the foundation/crane pad and the mast may or may not be the BoP contractor’s responsibility.

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10 MW VERSION - A REVIEW

The Qartli Wind Farm, situated in the Gori region of Georgia, is suitable for a 10MW increase of capacity. The annual energy production assessments are illustrated in the “Summary Production Results” table, Figure A1, and show P75 (capacity factors: 40% - 52%) and P90 figures (capacity factors: 38%-49%). P75 indicates that there is a probability of 25% that the indicated level of annual energy production will not be reached, while P90 indicates a probability of 10% for the same issue. Banks will usually use P75 and P90 figures.

Hub heightUnit WTG Capacity

Wind Farm

Capacity

No. of WTG's

Cap Factor

Annual Hours

Annual Output

Cap Factor

Annual Hours

Annual Output

[m] (MW) [MW] [-] % hrs MWh % hrs MWh

2wtg's GE158-5.3 700 Hub=120.9m 120,9 5,3 10,6 2 51,50% 4.511 47.821 48,20% 4.222 44.757

3wtg's N149-4.5 Hub=105m 105,0 4,5 13,5 3 50,60% 4.433 59.840 47,40% 4.152 56.055

3wtg's SWT-DD-142-4.1 Hub=109m 109,0 4,1 12,3 3 50,80% 4.450 54.736 47,60% 4.170 51.288

3wtg's V150-4.2 Hub=105m 105,0 4,2 12,6 3 52,40% 4.590 57.837 49,10% 4.301 54.195

2wtg's E-147 EP5-5MW Hub=126m 126,0 5,0 10,0 2 47,10% 4.126 41.260 44,10% 3.863 38.632

SH* 7wtg's GE1.5xle Hub=100m 100,0 1,5 10,5 7 40,30% 3.530 37.068 37,80% 3.311 34.768

* Second hand - used GE 20-year old 1.5 MW WTGs

Figure A1

Annex 2 presents detailed calculations for each WTG option

Park variant

P75 P90

Summary Production Results10 MW Range

Figure A1 - Summary Production Results 10 MW Range P75_P90

The annual energy production for the various wind turbine configurations is the result of the detailed Wind Assessment Report, in Annex 1, with P40 to P90 figures analyzed. A summary of the figures can be found in Annex 2, with detailed annual energy calculations and optimal locations for the wind turbine generators.

Our assessment is that subject to an update of the existing Environmental Impact Assessment (Qartli 1) and a further road survey, a 10MW expansion should be ready to build within the next

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6-9 months. The construction should take about 12 months, subject to the availability of the wind turbine generators. We assume the permitting process has been partly completed and could be expedited given the immediate adjacency to the Qartli 1 wind farm.

A wind farm in the 10 MW range, using the latest generation wind turbines, will cost between USD 15m and USD 19m. The used turbine scenario will cost USD 10m. We have simulated 10 MW-range projects using new generation GE (5.3MW), Nordex (4.5 MW), Siemens Gamesa (4.1MW), Vestas (4.2MW) and Enercon (5MW) wind turbine generators, while for the 2nd hand option, GE 1.5 MW WTGs were considered. We believe the figures should cover the cost of building the wind farm, while recognizing that the selected manufacturer and general contractor will need to submit a detailed commercial offer specific to the selected site. Higher capacity wind turbines configurations, which will require 2 wind turbine generators, will be more expensive per WTG, but will require less outlay on foundations and electrical cabling. Please refer to Figure A2, which illustrates the various CAPEX estimates.

FX EUR/USD1,12

OtherWind Farm Configuration MW No. WTG Capex Capex Capex Capex

Installed USD 000s USD 000s/MW EUR 000s EUR 000s/MW

2 X GE158-5.3 700 Hub=120.9m 10,6 2 15.350 1.448 13.705 1.293

3 wtg's N149-4.5 Hub=105m 13,5 3 19.200 1.422 17.142 1.270

3 wtg's SWT-DD-142-4.1 Hub=109m 12,3 3 18.085 1.470 16.148 1.313

3 wtg's V150-4.2 Hub=105m 12,6 3 18.364 1.457 16.396 1.301

2 wtg's E-147 EP5-5MW Hub=126m 10 2 14.793 1.479 13.208 1.321

Ruisi Wind Farm SH 7wtg's GE1.5xle 10,5 7 10.844 1.033 9.682 922

Figure A2Capex Summary10 MW Range

Figure A2 - Capex Summary 10MW

In terms of O&M costs, we see a range between USD 600 000 and USD 800 000 annually, considering standard Full Service Agreements; two-turbine configurations will be less costly to maintain than three-turbine configurations. The 7-turbine configuration using second-hand 1.5 MW turbines will be the more expensive one. Please refer to the Figure A3 below for various OPEX estimates.

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Figure A3 - Opex Summary

In terms of financial results, we have illustrated an array of figures using P75 and P90 production values in two separated tables (Figures A4 and A5). The 30-months+ of the current Qartli 1 20 MW wind farm operational performance indicate that P75 figures are closer to the actual performance.

We see project IRRs varying from 9% to 11% in the P75 scenario, and 7% to 10% in the P90 scenario. [Levered] Equity IRRs vary from 18% to 21%, and 15-19% respectively. The minimum debt cover service ration (DSCR) varies from 1.67 to 1.94, and 1.5 to 1.8 respectively. The average debt cover service ratio ranges from 1.74 to 2, and 1.6 to 1.9 respectively. We have assumed conservative 50/50 debt-equity leverage, with 10-year no-recourse project finance at 6% (USD). As the indication is that a 10-year PPA at USD 60/MWh will be available, we have modeled the debt tenor to match the PPA duration, similar to the existing EBRD loan tenor in the Qartli 1 wind farm project. Loan Life Cover Ratios and Project Life Cover Ratios, as well as other indicators are also illustrated in the two tables.

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Figure A4 - Financial Results Summary 10MW P75

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Figure A5 - Financial Results Summary 10MW P90

Our conclusion is that a larger capacity and efficient wind turbine configuration, which will maximize the production during the first 10 years of operations, when the PPA is available, will render the better yield, and should be preferred.

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20 MW VERSION - A REVIEW

The Qartli Wind Farm, situated in the Gori region of Georgia, is suitable for a 20MW increase of capacity. The annual energy production assessments are illustrated in the “Summary Production Results” table, Figure B1, and show P75 (capacity factors: 40% - 51%) and P90 figures (capacity factors: 36%-48%). P75 indicates that there is a probability of 25% that the indicated level of annual energy production will not be reached, while P90 indicates a probability of 10% for the same issue. Banks will usually use P75 and P90 figures.

Hub height Unit WTG

Capacity

Wind Farm

Capacity

No. of WTG's

Cap Factor

Annual Hours

Annual Output

Cap Factor

Annual Hours

Annual Output

[m] (MW) [MW] [-] % hrs MWh % hrs MWh

4wtg's GE158-5.3 700 Hub=120.9m 120,9 5,3 21,2 4 51,00% 4.468 94.713 47,70% 4.179 88.585

5wtg's N149-4.5 Hub=105m 105,0 4,5 22,5 5 49,90% 4.371 98.353 46,70% 4.091 92.046

5wtg's SWT-DD-142-4.1 Hub=109m 109,0 4,1 20,5 5 50,10% 4.389 89.970 46,90% 4.108 84.223

5wtg's V150-4.2 Hub=105m 105,0 4,2 21,0 5 51,70% 4.529 95.107 48,40% 4.240 89.037

4wtg's E-147 EP5-5MW Hub=126m 126,0 5,0 20,0 4 46,60% 4.082 81.643 43,60% 3.819 76.387

9wtg's* GE1.5xle Hub=100m 100,0 1,5 13,5 9 39,10% 3.425 46.240 36,60% 3.206 43.283

* Second hand - used GE 20-year old 1.5 MW WTGs

Figure B1

Annex 2 presents detailed calculations for each WTG optionAnnex 1 - Wind Assessment Report - Net Production Values

Park variant

P75 P90

Summary Production Results20 MW Range

Figure B1 - Summary Production Results

The annual energy production for the various wind turbine configurations is the result of the detailed Wind Assessment Report, in Annex 1, with P40 to P90 figures analyzed. A summary of the figures can be found in Annex 3, with detailed annual energy calculations and optimal locations for the wind turbine generators.

Our assessment is that subject to an update of the existing Environmental Impact Assessment (Qartli 1) and a further road survey, a 20MW expansion should be ready to build within the next 6-9 months. The construction should take about 15 months, subject to the availability of the wind

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turbine generators. We assume the permitting process has been partly completed and could be expedited given the immediate adjacency to the Qartli 1 wind farm.

A wind farm in the 20 MW range, using the latest generation wind turbines, will cost between USD 26m and USD 29m. The used turbine scenario will cost USD 12m. We have simulated 20 MW-range projects using new generation GE (5.3MW), Nordex (4.5 MW), Siemens Gamesa (4.1MW), Vestas (4.2MW) and Enercon (5MW) wind turbine generators, while for the 2nd hand option, GE 1.5 MW WTGs were considered. We believe the figures should cover the cost of building the wind farm, while recognizing that the selected manufacturer and general contractor will need to submit a detailed commercial offer specific to the selected site. Higher capacity wind turbines configurations, which will require less wind turbine generators, will be more expensive per WTG, but will require less outlay on foundations and electrical cabling. Please refer to Figure B2, which illustrates the various CAPEX estimates.

Summary

FX EUR/USD1,12

Wind Farm Configuration MW No. WTG Capex Capex Capex Capex

Installed USD 000s USD 000s/MW EUR 000s EUR 000s/MW

4 wtg GE158-5.3 700 Hub=120.9m 21,2 4 27.007 1.274 24.113 1.137

5 wtg N149-4.5 Hub=105m 22,5 5 29.121 1.294 26.001 1.156

5 wtg's SWT-DD-142-4.1 Hub=109m 20,5 5 27.514 1.342 24.566 1.198

5 wtg's V150-4.2 Hub=105m 21 5 27.728 1.320 24.757 1.179

4 wtg's E-147 EP5-5MW Hub=126m 20 4 26.142 1.307 23.341 1.167

Ruisi Wind Farm SH 9wtg's GE1.5xle 13,5 9 12.494 925 11.155 826

Other

Figure B2Capex Summary20 MW Range

Figure B2 - Capex Summary

In terms of O&M costs, we see a range between USD 900 000 and USD 1m annually, considering standard Full Service Agreements; four-turbine configurations will be less costly to maintain than five-turbine configurations. The 9-turbine configuration using second-hand 1.5 MW turbines will be the more expensive one (per Mwh). Please refer to the Figure B3 below for various OPEX estimates.

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23

O&MSummary-20MWRangeGoriWindFarmExtension.xlsx Summary

Wind Farm Configuration MW / MW No. WTG OPEXWTG Installed USD 000s p.a. Capacity hrs/year mwh/year OPEX Capacity hrs/year mwh/year OPEXMW MW Factor USD/MWh Factor USD/MWh

4 X GE158-5.3 700 Hub=120.9m 5,3 21,2 4 995 51,00% 4.468 94.713 10,51 47,70% 4.179 88.585 11,23WTG Manufacturer: General Electric

5 X N149-4.5 Hub=105m 4,5 22,5 5 1.077 49,90% 4.371 98.353 10,95 46,70% 4.091 92.046 11,70WTG Manufacturer: Nordex

5 X SWT-DD-142-4.1 Hub=109m 4,1 20,5 5 1.017 50,10% 4.389 89.970 11,30 46,90% 4.108 84.223 12,08WTG Manufacturer: Siemens Gamesa

5 X V150-4.2 Hub=105m 4,2 21 5 1.032 51,70% 4.529 95.107 10,85 48,40% 4.240 89.037 11,59WTG Manufacturer: Vestas

4 X E-147 EP5-5MW Hub=126m 5 20 4 959 46,60% 4.082 81.643 11,75 43,60% 3.819 76.387 12,56WTG Manufacturer: Enercon

Ruisi Wind Farm SH 9wtg's GE1.5xle 1,5 13,5 9 980 39,10% 3.425 46.240 21,20 36,60% 3.206 43.283 22,65WTG Manufacturer: GE (20-year old turbines)

P75 P90

Figure B3Opex Summary20 MW Range

Figure B3 - Opex Summary

In terms of financial results, we have illustrated an array of figures using P75 and P90 production values in two separated tables (Figures B4 and B5). The 30-months+ of the current Qartli 1 20 MW wind farm operational performance indicate that P75 figures are closer to the actual performance.

We see project IRRs varying from 10% to 13% in the P75 scenario, and 8% to 12% in the P90 scenario. [Levered] Equity IRRs vary from 20% to 25%, and 17-23% respectively. The minimum debt cover service ration (DSCR) varies from 1.82 to 2.25, and 1.65 to 2.08 respectively. The average debt cover service ratio ranges from 1.9 to 2.3, and 1.72 to 2.13 respectively. We have assumed conservative 50/50 debt-equity leverage, with 10-year no-recourse project finance at 6% (USD). As the indication is that a 10-year PPA at USD 60/MWh will be available, we have modeled the debt tenor to match the PPA duration, similar to the existing EBRD loan tenor in the Qartli 1 wind farm project. Loan Life Cover Ratios and Project Life Cover Ratios, as well as other indicators are also illustrated in the two tables.

The Expansion of the Qartli Wind Farm – A Study of Opportunity

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Figure B4 - Selected Financial Figures P75

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Figure B5 - Selected Financial Figures P90

Our conclusion is that a larger capacity and efficient wind turbine configuration, which will maximize the production during the first 10 years of operations, when the PPA is available, will render the better yield, and should be preferred.

The Expansion of the Qartli Wind Farm – A Study of Opportunity

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26

50 MW VERSION - A REVIEW

The Qartli Wind Farm, situated in the Gori region of Georgia, is suitable for a 50MW increase of capacity. The annual energy production assessments are illustrated in the “Summary Production Results” table, Figure C1, and show P75 (capacity factors: 45% - 50%) and P90 figures (capacity factors: 42%-46%). P75 indicates that there is a probability of 25% that the indicated level of annual energy production will not be reached, while P90 indicates a probability of 10% for the same issue. Banks will usually use P75 and P90 figures.

Hub height Unit WTG

Capacity

Wind Farm

Capacity

No. of WTG's

Cap Factor

Annual Hours

Annual Output

Cap Factor

Annual Hours

Annual Output

[m] (MW) [MW] [-] % hrs MWh % hrs MWh

10wtg's GE158-5.3 700 Hub=120.9m 120,9 5,3 53,0 10 50,00% 4.380 232.140 46,70% 4.091 216.819

11wtg's N149-4.5 Hub=105m 105,0 4,5 49,5 11 48,90% 4.284 212.040 45,70% 4.003 198.164

12wtg's SWT-DD-142-4.1 Hub=109m 109,0 4,1 49,2 12 49,00% 4.292 211.186 45,90% 4.021 197.825

12wtg's V150-4.2 Hub=105m 105,0 4,2 50,4 12 49,70% 4.354 219.427 46,40% 4.065 204.858

10wtg's E-147 EP5-5MW Hub=126m 126,0 5,0 50,0 10 45,60% 3.995 199.728 42,60% 3.732 186.588

Figure C1

The capacity factor has been lowered by 1% due to additional potential wake-lossesEstimates based on existing measurements - No detailed calculations have been made for this option

Park variant

P75 P90

Summary Production Results50 MW Range

Figure C1 - 50MW Summary Production Results

The annual energy production for the various wind turbine configurations is an estimate based the result of the detailed Wind Assessment Report, in Annex 1, with P40 to P90 figures analyzed, for 10MW and 20MW layout options - our estimates in the 50MW layout scenario decrease the capacity factors by 1% to compensate for potential wake losses. No detailed layout and turbine siting were analyzed in our report for this 50MW option, but we deem our estimates to be reasonably detailed to justify a go-no-go decision on the development of such a wind farm.

Our assessment is that subject to an update of the existing Environmental Impact Assessment (Qartli 1) and a further road survey, a 50MW expansion could be ready to build within the next 12 months. The construction should take about 24 months, subject to the availability of the wind turbine generators. We assume the permitting process has been partly completed and could be expedited given the immediate adjacency to the Qartli 1 wind farm.

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27

A wind farm in the 50 MW range, using the latest generation wind turbines, will cost between USD 62m and USD 65m. We have simulated 50 MW-range projects using new generation GE (5.3MW), Nordex (4.5 MW), Siemens Gamesa (4.1MW), Vestas (4.2MW) and Enercon (5MW) wind turbine generators. We believe the figures should cover the cost of building the wind farm, while recognizing that the selected manufacturer and general contractor will need to submit a detailed commercial offer specific to the selected site. Higher capacity wind turbines configurations, which will require less wind turbine generators, will be more expensive per WTG, but will require less outlay on foundations and electrical cabling. Please refer to Figure C2, which illustrates the various CAPEX estimates.

Summary

FX EUR/USD1,12

Wind Farm Configuration MW No. WTG Capex Capex Capex Capex

Installed USD 000s USD 000s/MW EUR 000s EUR 000s/MW

10 wtg GE158-5.3 700 Hub=120.9m 53 10 65.461 1.235 58.447 1.103

11 wtg N149-4.5 Hub=105m 49,5 11 63.261 1.278 56.483 1.141

12 wtg's SWT-DD-142-4.1 Hub=109m 49,2 12 63.849 1.298 57.008 1.159

12 wtg's V150-4.2 Hub=105m 50,4 12 64.895 1.288 57.942 1.150

10 wtg's E-147 EP5-5MW Hub=126m 50 10 62.847 1.257 56.113 1.122

Other

Figure C2Capex Summary50 MW Range

Figure C2 - Capex Summary 50MW Range

In terms of O&M costs, we see a range between USD 2.1m and USD 2.2m annually, considering standard Full Service Agreements; the larger capacity turbine configurations might be less costly to maintain than the lower capacity turbine configurations on account of additional roads, foundations, cabling, etc.... Please refer to the Figure C3 below for various OPEX estimates.

The Expansion of the Qartli Wind Farm – A Study of Opportunity

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O&MSummary-50MWRangeGoriWindFarmExtension.xlsx Summary

Wind Farm Configuration MW / MW No. WTG OPEXWTG Installed USD 000s p.a. Capacity hrs/year mwh/year OPEX Capacity hrs/year mwh/year OPEXMW MW Factor USD/MWh Factor USD/MWh

10 X GE158-5.3 700 Hub=120.9m 5,3 53 10 2.206 50,00% 4.380 232.140 9,50 46,70% 4.091 216.819 10,17WTG Manufacturer: General Electric

11 X N149-4.5 Hub=105m 4,5 49,5 11 2.144 48,90% 4.284 212.040 10,11 45,70% 4.003 198.164 10,82WTG Manufacturer: Nordex

12 X SWT-DD-142-4.1 Hub=109m 4,1 49,2 12 2.178 49,00% 4.292 211.186 10,31 45,90% 4.021 197.825 11,01WTG Manufacturer: Siemens Gamesa

12 X V150-4.2 Hub=105m 4,2 50,4 12 2.214 49,70% 4.354 219.427 10,09 46,40% 4.065 204.858 10,81WTG Manufacturer: Vestas

10 X E-147 EP5-5MW Hub=126m 5 50 10 2.116 45,60% 3.995 199.728 10,59 42,60% 3.732 186.588 11,34WTG Manufacturer: Enercon

P75 P90

Figure C3Opex Summary50 MW Range

Figure C3 - Opex Summary 50MW Range

In terms of financial results, we have illustrated an array of figures using P75 and P90 production values in two separated tables (Figures C4 and C5). The 30-months+ of the current Qartli 1 20 MW wind farm operational performance indicate that P75 figures are closer to the actual performance.

We see project IRRs varying from 11% to 13% in the P75 scenario, and 10% to 12% in the P90 scenario. [Levered] Equity IRRs vary from 22% to 26%, and 20-23% respectively. The minimum debt cover service ration (DSCR) varies from 2.04 to 2.32, and 1.89 to 2.14 respectively. The average debt cover service ratio ranges from 2.1 to 2.3, and 1.94 to 2.2 respectively. We have assumed conservative 50/50 debt-equity leverage, with 10-year no-recourse project finance at 6% (USD). As the indication is that a 10-year PPA at USD 60/MWh will be available, we have modeled the debt tenor to match the PPA duration, similar to the existing EBRD loan tenor in the Qartli 1 wind farm project. Loan Life Cover Ratios and Project Life Cover Ratios, as well as other indicators are also illustrated in the two tables.

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Figure C4 - Selected Financial Results P75 50MW Range

The Expansion of the Qartli Wind Farm – A Study of Opportunity

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30

Figure C5 - Selected Financial Results P90 50MW Range

Our conclusion is that any of the considered turbine options will deliver a profitable and productive wind farm; financially it is important to select the option, which will maximize the production during the first 10 years of operations, when the PPA is available, as a higher yield is usually preferred.

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ANNEX 1

WIND ASSESSMENT REPORT SECTION

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Annex 1

Wind Assessment Report

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Contents

Executive Summary ....................................................................................................................................... 3

Introduction .................................................................................................................................................... 4

General aspects .............................................................................................................................................. 5

Site description ............................................................................................................................................... 6

Site visit ....................................................................................................................................................... 7

Wind monitoring equipment ...................................................................................................................... 9

Roughness ................................................................................................................................................. 11

Orography ................................................................................................................................................. 11

Methodology ................................................................................................................................................ 12

Measured wind parameters ...................................................................................................................... 12

Uncertainty degree of measured wind data ............................................................................................. 14

MCP analysis ............................................................................................................................................. 16

WAsP analysis ........................................................................................................................................... 18

Production analysis ....................................................................................................................................... 19

Turbine layout ............................................................................................................................................... 27

Concluding remarks ...................................................................................................................................... 29

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Executive Summary

In order to provide the energy estimation for the Qartli Wind Farm in Shida Kartli region,

Georgia, the WINDATLAS-method with WAsP has been used. Based on the local measurements

from Qartli and MERRA long term data locations, achieved at 80m, 78m, 60m and 30m with Thies

First Class calibrated sensors, the Ridgeline Industrial team performed the following activities:

a) Measurement campaign verification;

b) Measured data analysis;

c) Power production on the 6 types of wind turbines;

d) P50-P90 probability calculation for provided production estimations.

Synoptic table with results:

Qartli Location

Roughness class 1.3 – 1.5

Equipment Ammonit and Thies First Class

Wind Speed at 90m

(P75/P90)

7.4 – 7.9 m/s 7.0 – 7.4 m/s

Wind farm configuration Manufacturer Gross Annual

Energy Production

(P75)

~10MW / ~20MW

[MWh/y]

Gross Annual

Energy Production

(P90)

~10MW / ~20MW

[MWh/y]

2 / 4wtg's GE158-5.3 @120.9m General Electric 49,952.0 /

98,896.0

46,774.0 /

92,604.0

3 / 5wtg's N149-4.5 @105m Nordex 62,611.0 /

102,745.0

58,628.0 /

96,209.0

3 / 5wtg's SWT-DD-142-4.1

@109m

Siemens 57,241.0 /

93,987.0

53,600.0 /

88,008.0

3 / 5wtg's V150-4.2 @105m Vestas 60,459.0 /

99,308.0

56,613.0 /

92,990.0

2 / 4wtg's E-147 EP5-

5MW@126m

Enercon 43,183.0 /

85,316.0

40,436.0 /

79,888.0

SH 7 / 9wtg's GE1.5xle@100m General Electric 43,693.0 /

54,464.0

40,913.0 /

50,999.0

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Introduction

The company Georgia Energy Development Fund (Georgia) wants to develop a new wind farm

and retained the services of Ridgeline Industrial (Romania) - Ridgeline Industrial's analysis is partly

funded by the Romanian Agency for International Development and Cooperation - RoAID - to

conduct a wind assessment report for the Qartli site, in Shida Kartli. This wind assessment report

was conducted using wind measurements from the site and MERRA long term data.

The objective of this report is to estimate the wind speed and compare the results in order to

develop a wind farm. The general method used in these situations is the extrapolation of the

meteorological data (mainly wind speed and wind direction) measured at different height in order

to find their correspondent at hub height. The results will then be used to estimate the produced

energy by each wind turbine generator.

In order to assess the wind speed and wind energy information regarding orography and

roughness are also needed. All these calculations and simulations were made using WindPro 3.2

software, recognized and approved worldwide. The initial phase for evaluating the wind potential

for a certain location is the analysis of the measured wind data in one or more points, as close as

possible to the location chosen for developing a wind farm.

The current report meets the wind assessment reports quality standards (version 1), standards

required by the Wind Experts Advisory Board from the German Wind Energy Association.

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General aspects

The objective of this study is to estimate the wind speed from the site and to establish the

production values for the General Electric GE158-5.3MW, Nordex N149-4.5MW, Siemens SWT-

DD-4.1MW, Vestas V150-4.2MW, Enercon E147-5MW and General Electric GE1.5xle-1.5MW

turbine models in order to develop a wind farm. The general method used in these situations is

the extrapolation of the meteorological data (mainly wind speed and wind direction) measured at

different heights and in different locations in order to find out their correspondent at hub height.

The obtained data will then be used to forecast the energy produced by each turbine.

The wind resources from the site were calculated using the WIND ATLAS ANALYSIS APLICATION

PROGRAM (WAsP) method, developed by the Meteorology and Wind energy division from the

Riso Laboratory, Denmark. The present wind assessment report will analyze in detail the wind

regime from the beneficiary’s site, highlighting the energetic qualities. Based on this report the

client will be able to make a decision whether he will continue his investment at this location.

In order to calculate the speed and energy of the wind, orography and roughness data are

needed. All these calculations and simulations were made using the WindPro 3.2 software,

approved and recognized worldwide.

This software is based on WAsP software, which uses a numerical model (BZ model), to

extrapolate the climatic data of the considered region for a specific power curve, taking into

account the placement of the wind turbine generators and the way they are influenced by the

“wake effect”.

The first step in evaluating the possibility of using the wind potential of an area, is to process the

measured wind data in one or several points, as close as possible to the area where a future wind

farm will be situated. In order to conduct this study, wind data were measured for a period of 33

months at the Qartli Mast, on site.

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Site description

Evaluation of the location’s specific factors that influence the energy calculation for the described

site was made using topographic maps (scale 1:25.000) and aerial photos. The location of the

wind park can be observed on the attached map. The coordinates of the reference point used to

define the wind potential [UTM WGS84 Zone 38 coordinates system] are stated in the following

table:

Name Location Coordinates (UTM EGS 84 Zone

38)

QARTLI Wind Farm

II

Georgia 415,435.00

E

4,655,402.00 N

Table 1: Main point location, GPS coordinates

The area is located in center of Georgia, in the Shida Kartli region at 12km NV from Gori and

73km NV from Tbilisi.

Fig. 1: Qartli Site

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Site visit

The site visit was carried out by the Ridgeline Industrial contracted staff in June 2019. The scope

of the visit was to verify the relevance of the information from the 1:25000 analysed maps,

determination of the roughness and verification of the measurment equipments from which data

will be used and if they were installed according to international standards, and also

determination of any possible obstacles near the park location that could cause disruptions or

influences to the wind turbine.

During the site visit, the tracking log was taken (Fig. 2) in order to visually represent the

information obtained on site in order to better evaluate the roughness and/or the influence of the

terrain over the site.

Ridgeline Industrial intended to also visit the meteorological masts, but this was not possible (the

met mast fell and was decommissioned), just the surrounding area was assessed.

Fig. 2: GPS tracklog from the site visit

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The assessed site is located in the centre of Shida Kartli region, between the rivers Liakhvi to the

north and Kura to the south. The proposed development area is located on a plateau higher

than the surrounding landscape.

Landscape of the area

Panorama view of the surroundings

The region is mostly used for agriculture purposes. The agricultural areas are rarely interrupted by

trees outskirts, and there are small villages and some houses along the main roads. No major

obstacles were observed, except for the existing wind farm that has to be considered in the site

model. Also, in the area there are some power lines that cross site, they will be considered when

doing the layout.

The general roughness is registered in class 1.3, with values that may vary between 0.1m (grazing

areas, small agricultural crops) and 1.5 m (developed cereals).

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Wind monitoring equipment

For a detailed analysis of local wind parameters, one measuring mast was used. The Qartli mast is

a 80m lattice tower with anemometers located at 30m, 60m, 78m and 80m and wind vanes

installed at 30m and 78m, the tower base is at 846m a.s.l.. The mast was installed by the client

team, and the sensors were provided by Thies Clima. The wind data validation was done by

Ridgeline Industrial contracted Team.

Calibration certificates were available for review, as well as the installation report.

Fig. 3: Qartli 80m Mast

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Other data sources

Available for this site were long term data from NCAR, ERA5 and MERRA. The Ridgeline

Industrial team chose the MERRA 25+years data because it was the closest, it has good

availability and it had the best correlation.

Also available for this project was production data from a near by wind farm.

Data source Distance to Gori II Wind Farm

MERRA 5km QWF (existing wind

farm) 5km

Fig. 4: Other data sources

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Roughness

The roughness factor defines terrain elements that influence the laminar air flow, and that is

situated at a relative distance from the reference point (meteo masts). In this case, using data

measured at the site visit, and analyzing the terrain in the area, a roughness map (Fig 5) for an

area of approximately 110 km2 has been created. The map was then used in WindPro 3.2 to

identify the way in which the wind profile is modified by its passing over those extents.

Fig. 5: Roughness Map

Orography

The orography of any region is a result of the action of internal (izostatic movements) and external

(climate) factors on the terrain. The Gori area is characterized by the existence of a plateau with a

medium altitude of 800m, bordered by an NW-SE oriented slope, with medium to high sloping

and a mountain range to the S.

Fig. 6: Height Contours Lines Map

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Methodology

Measured wind parameters Gori Mast

Wind speed (mean and standard deviation) and wind direction were recorded during ~ 33

month’s period (August 2013 – February 2017) for the Gori Mast.

Recovery rate was 75.6% at the Gori Mast for all data and also some mast shading effects were

detected due to differences noticed between anemometers recording data at the same heights.

No history was provided about the maintenance of the met mast, but we can conclude that major

problems were caused by logger malfunctions.

The data logger from Gori Mast samples wind speed and direction once every second. These are

then combined into 10-minute averages, and along with the standard deviation for those 10-

minute periods, are put into a binary file.

Preliminary to data loading in WindPro 3.2 software, all wind data were subjected to a series of

tests and filters to weed out data that are faulty or corrupted.

Fig. 7: Wind profile and wind rose for the Gori Mast

The wind speeds as recorded at all the levels were reviewed.

Regarding monthly distribution of wind speed, the location is part from general Georgian climate,

with relative stabile mean wind speed distributions through the year.

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Fig. 9: Monthly variation of speed

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Uncertainty degree of measured wind data

No uncertainties reports were available for the data from the beneficiary, and for the data from

the MERRA location, and so the data gaps had to be analysed through personal investigation and

research methods. The total availability of the measured and filtered data from the Qartli Wind

Farm database, reach a value of 97%, which is a very good value.

Beside the data availability, the quality of the measured data depends on the anemometers

characteristics, the influences caused by the equipment installation and the terrain configuration.

In the following table uncertainties estimated for each analysis phase of the installed

anemometers are indicated as uncertainties in relation to the energy production calculation,

which is estimated as being 1.4 bigger than the wind speed uncertainties.

Uncertainty of the parts of the analysis and calculations

Wind statistic 5.96% Wind measurement 4.23%

Anemometer calibration 1.40%

Anemometer characteristics 1.50%

Installation equipment's influence 2.10%

Data recording 2.29% Availability 1.00% Recording frequency 0.50% Data recovery 2.00%

Terrain effects (turbulence, wind shear) 2.00%

Roughness and orography 1.65% Obstacles 0.50% Representation of the period 1.20%

Long term correlation (Index consistency, 100% level, transfer to the future)

2.00%

Site calibration (terrain modelling) 3.50% Wake model/ wind farm calculation 1.50% Integrity of the model (wind in hub height, transfer to the sites) 3.00% WTG power curve 7.00% Total uncertainty 9.79%

Total uncertainty is considered as being the square root of the sum of all individual factors.

Uncertainties can be evaluated in detail, as follows:

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• The anemometer calibration uncertainty results directly from the calibration reports and

can be calculated with standard deviations of each recorded value. A simplified mean

value for the measured uncertainty was chosen.

• The anemometer characteristics uncertainty describes the link of a certain type of

anemometer with an ideal anemometer, regarding it’s behaviour due to wind profile

(cosine behaviour) and inertia (start up, overcoming the normal speed). First class Thies

type anemometer belongs to high class quality with high performances in turbulent wind

conditions. A small uncertainty is justified.

• The terrain influence is small, being indicated by the turbulence distribution between the

three heights. As the relief in the area can be characterised as easy tilted, this fact

shouldn’t lead to important vertical components of the wind vector and thus shouldn’t

influence the wind measurements.

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MCP analysis

MCP is the abbreviation for Measure-Correlate-Predict techniques, which is widely in use for

establishing a long-term wind statistic using limited wind data from the current site and long-term

data from a more-or-less nearby site.

Because often the on-site measured wind parameters do not cover a long period in time, there is

a certain financial risk to estimate the turbine energy production for an entire park lifetime (mainly

25 years).

To cover a part from this risk, it is necessary to have the above mentioned long term corrected

wind data, obtained mainly after several statistical operations between the measured wind data

and another reference data that can be considered reliable for the same area. In this wind

resource assessment, the lack of reliable local meteorological data from meteo stations was

replaced with MERRA type data.

The MERRA dataset consists of u and v wind components at different pressure surfaces, surface

temperature data and surface heat flux. As we had mentioned early, only ten years long term

data from 80m height was used (1989 to 2016). In the following chart concurrent data only was

analysed.

Fig. 10: Measured wind data at Gori 80m mast and at MERRA point

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There are several methods to obtain a long term corrected wind data for site location. WindPro

software can perform four MCP type analyses, their final result being dependent on several

factors. It remains at user’s attitude which method should be performed.

For the Gori wind statistic, the Ridgeline Industrial team correlated the 80m anemometer from

the mast with 50m level from MERRA, a satisfying correlation coefficient was obtained.

Establishing a decent match between the local measurement and long-term reference data

Ridgeline Industrial team proceeded to creating a relevant wind statistic using the Matrix method.

Fig. 11: Predicted Energy and Frequency for MERRA

This one is based on a wind speed (speed-up) and wind direction (wind veer) changes modelling

through a joint distribution that fits on wind speed bins and wind direction bins matrix.

The final results of this MCP calculation will be represented by a long-term corrected

meteorological data file, which will be used in an on-site WAsP analysis. According to results

from the long term analysis the difference between the measured data and the forecasted data

was obtained and lower wind speed were forecasted than the measured speeds.

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WAsP analysis

For the analyzed area, the Ridgeline Industrial team chose, taking into consideration the

topography, the roughness and the size of the area, to consider it as one zone. The WASP object

and wind resources were calculated for this region. Production estimates for the 6 types of

turbines were also the scope of this report.

Fig. 12: WAsP regions

The WASP object used the wind statistics created from the Gori masts correlated with the MERRA

data using the Matrix method, calculated for the WAsP region.

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Production analysis

The performance of a wind farm is additionally conditioned by the technical availability of the

installations and electrical losses. Since these values are depending on the contractual agreement

with the manufacturers and on the design of the grid connection. The user of this report has to

define the respective losses that also have to be considered. The calculated production figures

are equivalent to the production results of the wind turbine counters considering a 100 %

availability level, in order to obtain a real estimation of future production figures. It is necessary to

reduce the wind farm production by different kinds of losses. The following aspects should be

considered:

ü Technical availability of wind turbines

ü Technical availability of substation and grid system

ü Wind farm internal grid losses

ü Blade degradation and icing

ü Power management

ü Power curve performance

ü Noise and/or shadow induced operation restrictions

Production estimations for P50 values for 20MW layout:

Park variant Hub

height Capacity

No. of WTG's

Result Wake loss

Capacity factor

Mean WTG result

[m] [MW] [-] [MWh/y] [%] [%] [MWh/y] Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 120.9

21.2 4 105,887.10 1.4 57 26,471.80

Park Gori II 5wtg's N149-4.5 Hub=105m 105

22.5 5 110,008.30 2 55.8 22,001.70

Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 109

20.5 5 100,631.00 1.9 56 20,126.20

Park Gori II 5wtg's V150-4.2 Hub=105m 105

21 5 106,328.10 1.9 57.8 21,265.60

Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 126

20 4 91,346.30 1.3 52.1 22,836.60

Park Gori II - SH 9wtg's GE1.5xle Hub=100m 100

13.5 9 58,313.90 3.7 49.3 6,479.30

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Production estimations for P50 values for 10MW layout:

Park variant Hub

height Capacity

No. of WTG's

Result Wake loss

Capacity factor

Mean WTG result

[m] [MW] [-] [MWh/y] [%] [%] [MWh/y] Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 120.9 10.6 2 53,483.20 2.1 57.6 26,741.60 Park Gori II 3wtg's N149-4.5 Hub=105m 105 13.5 3 67,036.70 1.7 56.6 22,345.60 Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 109 12.3 3 61,287.70 1.6 56.8 20,429.20 Park Gori II 3wtg's V150-4.2 Hub=105m 105 12.6 3 64,733.20 1.6 58.6 21,577.70 Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 126 10 2 46,235.60 1.8 52.7 23,117.80 Park Gori II - SH 7wtg's GE1.5xle Hub=100m 100 10.5 7 46,781.50 1.3 50.8 6,683.10

In the annex, the park calculation, are presented the calculated annual energy, efficiency and

mean wind speed at hub height for the 6 scenarios analyzed in this report.

For 20MW layout:

The P40-P90 calculations for GE158-5.3 700:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 21.2

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 108513 105887 103261 100452 98896 97164 92604 MWh/year

Equivalent hours 5119 4995 4871 4738 4665 4583 4368 hours Capacity Factor 58.41 57.00 55.59 54.07 53.24 52.30 49.85 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 103912 101397 98883 96193 94703 93044 88678 MWh/year

Equivalent hours 4901.5 4782.9 4664.3 4537.4 4467.1 4388.9 4182.9 hours Capacity Factor 55.9 54.6 53.2 51.8 51.0 50.1 47.7 %

Value Percentage

Calculated losses 0.958 4.24%

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The P40-P90 calculations for N149-4.5:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 22.5

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 112736 110008 107280 104362 102745 100946 96209 MWh/year

Equivalent hours 5011 4889 4768 4638 4566 4486 4276 hours Capacity Factor 57.18 55.80 54.42 52.94 52.12 51.20 48.80 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 107956 105344 102732 99937 98389 96666 92129 MWh/year

Equivalent hours 4798.1 4682.0 4565.8 4441.6 4372.8 4296.3 4094.6 hours Capacity Factor 54.8 53.4 52.1 50.7 49.9 49.0 46.7 %

Value Percentage

Calculated losses 0.958 4.24%

The P40-P90 calculations for SWT-DD-142-4.1:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 20.5

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 103126 100631 98136 95466 93987 92341 88008 MWh/year

Equivalent hours 5031 4909 4787 4657 4585 4504 4293 hours Capacity Factor 57.39 56.00 54.61 53.13 52.30 51.39 48.98 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 98754 96364 93975 91418 90002 88426 84276 MWh/year

Equivalent hours 4817.3 4700.7 4584.1 4459.4 4390.4 4313.5 4111.0 hours Capacity Factor 55.0 53.6 52.3 50.9 50.1 49.2 46.9 %

Value Percentage

Calculated losses 0.958 4.24%

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The P40-P90 calculations for V150-4.2:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 21.0

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 108965 106328 103691 100870 99308 97569 92990 MWh/year

Equivalent hours 5189 5063 4938 4803 4729 4646 4428 hours Capacity Factor 59.23 57.80 56.37 54.83 53.98 53.04 50.55 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 104345 101820 99295 96593 95098 93432 89047 MWh/year

Equivalent hours 4968.8 4848.6 4728.3 4599.7 4528.5 4449.1 4240.4 hours Capacity Factor 56.7 55.3 54.0 52.5 51.7 50.8 48.4 %

Value Percentage

Calculated losses 0.958 4.24%

The P40-P90 calculations for E-147 EP5-5MW:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 20.0

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 93612 91346 89081 86658 85316 83821 79888 MWh/year

Equivalent hours 4681 4567 4454 4333 4266 4191 3994 hours Capacity Factor 53.39 52.10 50.81 49.43 48.66 47.81 45.56 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 89642 87473 85304 82983 81698 80267 76500 MWh/year

Equivalent hours 4482.1 4373.7 4265.2 4149.2 4084.9 4013.4 3825.0 hours Capacity Factor 51.1 49.9 48.7 47.3 46.6 45.8 43.6 %

Value Percentage

Calculated losses 0.958 4.24%

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The P40-P90 calculations for SH 9wtg's GE1.5xle:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 13.5

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 59760 58314 56868 55321 54464 53510 50999 MWh/year

Equivalent hours 4427 4320 4212 4098 4034 3964 3778 hours Capacity Factor 50.52 49.30 48.08 46.77 46.05 45.24 43.12 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 50796 49567 48338 47023 46294 45483 43349 MWh/year

Equivalent hours 3762.7 3671.6 3580.6 3483.2 3429.2 3369.1 3211.0 hours Capacity Factor 42.9 41.9 40.9 39.8 39.1 38.5 36.6 %

Value Percentage

Calculated losses 0.85 15%

For 10MW layout: The P40-P90 calculations for GE158-5.3 700:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 10.6

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 54809 53483 52157 50738 49952 49077 46774 MWh/year

Equivalent hours 5171 5046 4920 4787 4712 4630 4413 hours Capacity Factor 59.03 57.60 56.17 54.64 53.80 52.85 50.37 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 52486 51216 49945 48587 47834 46996 44791 MWh/year

Equivalent hours 4951.5 4831.7 4711.8 4583.6 4512.7 4433.6 4225.6 hours Capacity Factor 56.5 55.2 53.8 52.3 51.5 50.6 48.2 %

Value Percentage

Calculated losses 0.958 4.24%

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The P40-P90 calculations for N149-4.5:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 13.5

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 68699 67037 65374 63596 62611 61514 58628 MWh/year

Equivalent hours 5089 4966 4843 4711 4638 4557 4343 hours Capacity Factor 58.00 56.60 55.20 53.69 52.86 51.94 49.50 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 65786 64194 62602 60899 59956 58906 56142 MWh/year

Equivalent hours 4873.1 4755.1 4637.2 4511.1 4441.2 4363.4 4158.6 hours Capacity Factor 55.5 54.2 52.9 51.4 50.6 49.7 47.4 %

Value Percentage

Calculated losses 0.958 4.24%

The P40-P90 calculations for SWT-DD-142-4.1:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 12.3

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 62808 61288 59768 58142 57241 56239 53600 MWh/year

Equivalent hours 5106 4983 4859 4727 4654 4572 4358 hours Capacity Factor 58.21 56.80 55.39 53.88 53.05 52.12 49.67 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 60144 58689 57234 55677 54814 53854 51327 MWh/year

Equivalent hours 4889.8 4771.5 4653.1 4526.6 4456.5 4378.4 4172.9 hours Capacity Factor 55.7 54.4 53.0 51.6 50.8 49.9 47.6 %

Value Percentage

Calculated losses 0.958 4.24%

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The P40-P90 calculations for V150-4.2:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 12.6

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 66338 64733 63128 61410 60459 59400 56613 MWh/year

Equivalent hours 5265 5138 5010 4874 4798 4714 4493 hours Capacity Factor 60.05 58.60 57.15 55.59 54.73 53.77 51.25 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 63526 61989 60451 58807 57896 56882 54213 MWh/year

Equivalent hours 5041.7 4919.7 4797.7 4667.2 4594.9 4514.4 4302.6 hours Capacity Factor 57.5 56.1 54.7 53.2 52.4 51.5 49.1 %

Value Percentage

Calculated losses 0.958 4.24%

The P40-P90 calculations for E-147 EP5-5MW:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 10.0

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 47382 46236 45089 43862 43183 42427 40436 MWh/year

Equivalent hours 4738 4624 4509 4386 4318 4243 4044 hours Capacity Factor 54.01 52.70 51.39 49.99 49.22 48.36 46.09 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 45373 44275 43177 42003 41352 40628 38721 MWh/year

Equivalent hours 4537.3 4427.5 4317.7 4200.3 4135.2 4062.8 3872.1 hours Capacity Factor 51.7 50.5 49.2 47.9 47.1 46.3 44.1 %

Value Percentage

Calculated losses 0.958 4.24%

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The P40-P90 calculations for SH 7wtg's GE1.5xle:

Calculation of P40 - P90

GROSS Values Input values

Overall Uncertainty 9.79

Installed capacity 10.5

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 47942 46782 45621 44380 43693 42928 40913 MWh/year

Equivalent hours 4566 4455 4345 4227 4161 4088 3896 hours Capacity Factor 52.06 50.80 49.54 48.19 47.45 46.62 44.43 %

NET Values

Probability of exceedance

0.4 P50 0.6 0.7 0.75 0.8 0.9 Units

Percentage 102.5 100.0 97.5 94.9 93.4 91.8 87.5 % Production 40750 39764 38778 37723 37139 36488 34776 MWh/year

Equivalent hours 3881.0 3787.1 3693.2 3592.7 3537.0 3475.1 3312.0 hours Capacity Factor 44.3 43.2 42.1 41.0 40.3 39.6 37.8 %

Value Percentage

Calculated losses 0.85 15%

Page 59: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

Turbine layout

For this area, the client, proposes the locations of the turbines. No micro siting was done by

Ridgeline Industrial team. Ridgeline Industrial considered a number of 6 existing wtg’s in the

neighboring area, the locations and type of the existing wtg’s were obtained from Ridgeline

Industrial data base. The detailed list of existing wtg’s can be found in the park calculation in

Annex 5 and in the next table.

Project Name

WTG No.

WTG Type Status

Manufacturer

Power (MW)

Rotor (m)

Hub Height (m)

Max. Height (m)

QWF 6 Vestas 3.45 117 91 864 built

Existing wtg’s and Gori II Wind Farm

Fig. 14: Gori II layout and existing turbine layout

Compared to single turbines, installing several wind turbines creates mutual interference of the

turbines. This results in a lower energy production of the farm compared to the sum of the single

productions of the turbines. The ratio between the energy production of the wind farm and the

sum of the single productions of the turbines is resulting into the so called “wind farm efficiency”.

This value is used as indicator for the quality of the wind farm design.

The mutual interference of the turbines, also called “wake effect”, is increasing with decreasing

distances between the turbines, as the wind flow is disturbed on the leeward side. The wind flow

remains disturbed until reaching a certain distance to the last turbine (generally greater than ten

times rotor diameter). This distance is required to regain the original energy level. Thus, it is

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important that the turbines are positioned at a sufficient distance between the turbines, especially

in main wind direction.

The evaluation of the wind farm efficiency is accomplished by applying the respective module of

the software WindPRO 3.2. This software applies a relative simple mathematical model for the

description of the wake effect of a turbine. The calculation of the flow field and the wind speed’s

reduction in the wake serves as input for the respectively following turbine(s).

Fig. 15: Gori II wind map@ 90m

Page 61: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

Concluding remarks

From a wind-climatologic point of view, the site GORI is suited for the technical use of wind

energy considering the average wind speed at P90 between 7.0 m/s – 7.4 m/s at 90 m a.g.l with

an equivalent roughness of 1.3-2.0 in the site location. Please notice that we see this appraisal as

an orientation for a comparison with similar developments. The main influence at the investigated

site results from the roughness in the further surroundings and also the planned wind parks under

development. The scope of the report was to establish the production values for the 6 turbine

models.

The energy yield forecast considers the wind turbines at the provided location must be

appreciated as a reference value due to uncertainties in relation to the effective technical

availability and the provided power curves. Therefore the energy yield forecast is not part of the

corroborated scope of this report. Any kind of liability in case that the economical-technical

target values are not achieved for damages / losses that might be caused by the direct or indirect

use of the results of this report is explicitly excluded.

The Ridgeline Industrial team accomplished this report according to the state of the art and to

the best of our knowledge. Based on the provided and considered measurement data, the report

has sufficient accuracy regarding the calculation and estimation of the park layout.

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ANNEX 2

10 MW LONG VERSION CALCULATED ANNUAL ENERGY AND WTG SITING

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Page 64: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

Annex 2

10 MW Range Wind Farm

Calculated Annual Energy and Wind Turbine Generator Siting

Wind Turbine Generator Options:

General Electric 2wtg's GE158-5.3 700 Hub=120.9m

Enercon 2wtg's E-147 EP5-5MW Hub=126m

Nordex 3wtg's N149-4.5 Hub=105m

Siemens Gamesa 3wtg's SWT-DD-142-4.1 Hub=109m

Vestas 3wtg's V150-4.2 Hub=105m

General Electric 7wtg's GE1.5xle Hub=100m Second Hand

Page 65: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

windPRO 3.2.744 by EMD International A/S, Tel. + 45 96 35 44 44, www.emd.dk, [email protected] windPRO05/09/2019 16:24 / 1

Project:

Gori II

PARK - Main ResultCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 121.0 m = 1.119 kg/m³ -> 91.4 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:12,500

New WTG Site Data

Key results for height 121.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,449 8.9 2.0

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 53,483.2 54,620.1 2.1 57.6 26,741.6 5,046 9.0¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 2 new WTGs with total 10.6 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake loss Free rated diameter height mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A Yes GE WIND ENERGY 5.3-158 Thrust 700-5,300 5,300 158.0 120.9 EMD 5.3-158 NO Med TI 27,132.8 2.8 9.222 A Yes GE WIND ENERGY 5.3-158 Thrust 700-5,300 5,300 158.0 120.9 EMD 5.3-158 NO Med TI 26,350.4 1.3 8.88

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,358 4,656,168 840.0 GE WIND ENERGY 5.3-158 Thrust 700 5300 158.0 !O! hub: 120.9 m (TOT: 199.9 m) (51)2 New 416,519 4,655,872 815.3 GE WIND ENERGY 5.3-158 Thrust 700 5300 158.0 !O! hub: 120.9 m (TOT: 199.9 m) (52)

Page 66: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

windPRO 3.2.744 by EMD International A/S, Tel. + 45 96 35 44 44, www.emd.dk, [email protected] windPRO05/09/2019 16:24 / 2

Project:

Gori II

PARK - Reference WTGsCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 121.0 m = 1.119 kg/m³ -> 91.4 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTG

Key results for height 121.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,449 8.9 2.0

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind corrected Goodness Factorprod. without Free WTGs factor result hours @hub height energy

new WTGs[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.6 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]3 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 04 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 05 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 06 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 07 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 08 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]3 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)4 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)5 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)6 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)

To be continued on next page...

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PARK - Reference WTGsCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019...continued from previous page

UTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]7 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)8 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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PARK - Production AnalysisCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019WTG: All new WTGs, Air density varies with WTG position 1.107 kg/m³ - 1.113 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 36.0 8.3 197.3 5,430.1 15,541.4 2,282.1 62.3 30.7 1,028.8 15,414.1 6,756.5 538.5 47,326.2+Increase due to hills [MWh] 35.0 4.5 300.7 964.7 1,903.3 398.4 99.0 15.3 760.4 1,971.2 711.4 130.1 7,293.9-Decrease due to wake losses [MWh] 2.6 0.0 0.0 0.0 502.2 422.7 5.4 0.0 0.0 0.0 113.7 90.3 1,136.9Resulting energy [MWh] 68.4 12.9 498.0 6,394.8 16,942.5 2,257.8 155.9 45.9 1,789.2 17,385.4 7,354.2 578.3 53,483.2Specific energy [kWh/m²] 1,364Specific energy [kWh/kW] 5,046Increase due to hills [%] 97.4 54.4 152.4 17.8 12.2 17.5 158.8 49.7 73.9 12.8 10.5 24.2 15.41Decrease due to wake losses [%] 3.7 0.0 0.0 0.0 2.9 15.8 3.3 0.0 0.0 0.0 1.5 13.5 2.08Utilization [%] 23.1 27.9 25.0 27.2 27.3 23.1 25.1 21.0 21.3 22.5 22.5 18.2 24.3Operational [Hours/year] 61 13 161 1,033 2,660 532 39 20 377 2,351 1,167 208 8,620Full Load Equivalent [Hours/year] 6 1 47 603 1,598 213 15 4 169 1,640 694 55 5,046

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PARK - Production AnalysisCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019WTG: All existing WTGs, Air density varies with WTG position 1.107 kg/m³ - 1.113 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 0.0 123.9 75.4 574.1Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,117.6 13,183.2 775.5 98,671.3Specific energy [kWh/m²] 1,530Specific energy [kWh/kW] 4,767Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.0 0.9 8.9 0.58Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.3 23.1 27.4Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,697 637 37 4,767

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PARK - Power Curve AnalysisCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019WTG: 1 - GE WIND ENERGY 5.3-158 Thrust 700 5300 158.0 !O!, Hub height: 120.9 mName: 5.3-158 NO Med TI Source: Power_Curve-NO_5.3-158-xxHz_106dB_Thrust700_Eng-Rev03_EN_r02

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

05/12/2018 EMD 29/06/2017 06/02/2019 25.0 Pitch User defined Variable 0.27Power_Curve-NO_5.3-158-xxHz_106dB_Thrust700_Eng-Rev03_EN_r02

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 9,739 14,569 19,123 23,102 26,409 29,022GE WIND ENERGY 5.3-158 Thrust 700 5300 158.0 !O! 5.3-158 NO Med TI [MWh] 9,828 14,614 19,129 23,067 26,311 28,823Check value [%] -1 0 0 0 0 1The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading (kW/m^2)and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curve measurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]3.0 90.0 0.28 3.0 0.913.5 188.0 0.37 3.5 0.894.0 314.0 0.41 4.0 0.884.5 471.0 0.43 4.5 0.855.0 664.0 0.44 5.0 0.835.5 902.0 0.45 5.5 0.826.0 1,182.0 0.46 6.0 0.826.5 1,513.0 0.46 6.5 0.817.0 1,896.0 0.46 7.0 0.817.5 2,337.0 0.46 7.5 0.808.0 2,819.0 0.46 8.0 0.788.5 3,322.0 0.45 8.5 0.749.0 3,809.0 0.44 9.0 0.689.5 4,264.0 0.41 9.5 0.6210.0 4,651.0 0.39 10.0 0.5610.5 4,939.0 0.36 10.5 0.5011.0 5,160.0 0.32 11.0 0.4411.5 5,266.0 0.29 11.5 0.3912.0 5,300.0 0.26 12.0 0.3412.5 5,300.0 0.23 12.5 0.3013.0 5,300.0 0.20 13.0 0.2613.5 5,300.0 0.18 13.5 0.2314.0 5,300.0 0.16 14.0 0.2114.5 5,300.0 0.14 14.5 0.1815.0 5,300.0 0.13 15.0 0.1715.5 5,300.0 0.12 15.5 0.1516.0 5,300.0 0.11 16.0 0.1416.5 5,300.0 0.10 16.5 0.1317.0 5,300.0 0.09 17.0 0.1117.5 5,300.0 0.08 17.5 0.1118.0 5,300.0 0.08 18.0 0.1018.5 5,300.0 0.07 18.5 0.0919.0 5,300.0 0.06 19.0 0.0819.5 5,300.0 0.06 19.5 0.0820.0 5,300.0 0.06 20.0 0.0720.5 5,300.0 0.05 20.5 0.0721.0 5,256.0 0.05 21.0 0.0621.5 5,197.0 0.04 21.5 0.0622.0 5,065.0 0.04 22.0 0.0522.5 4,884.0 0.04 22.5 0.0523.0 4,676.0 0.03 23.0 0.0423.5 4,520.0 0.03 23.5 0.0424.0 4,392.0 0.03 24.0 0.0424.5 4,301.0 0.02 24.5 0.0325.0 4,229.0 0.02 25.0 0.03

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.107 kg/m³ New windPRO method (adjustedIEC method, improved to match turbine control) <RECOMMENDED>Wind speed Power Cp Interval Energy Acc.Energy Relative

[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 0.0 0.0 0.03.0 69.8 0.24 2.50- 3.50 28.2 28.2 0.14.0 279.5 0.40 3.50- 4.50 127.0 155.2 0.65.0 597.8 0.44 4.50- 5.50 339.7 494.9 1.86.0 1,066.8 0.46 5.50- 6.50 722.4 1,217.4 4.57.0 1,712.2 0.46 6.50- 7.50 1,315.4 2,532.8 9.38.0 2,553.3 0.46 7.50- 8.50 2,096.8 4,629.6 17.19.0 3,489.4 0.44 8.50- 9.50 2,904.2 7,533.9 27.810.0 4,333.0 0.40 9.50-10.50 3,480.1 11,014.0 40.611.0 4,923.3 0.34 10.50-11.50 3,630.0 14,644.0 54.012.0 5,230.6 0.28 11.50-12.50 3,341.0 17,985.0 66.313.0 5,300.0 0.22 12.50-13.50 2,776.1 20,761.1 76.514.0 5,300.0 0.18 13.50-14.50 2,137.4 22,898.5 84.415.0 5,300.0 0.14 14.50-15.50 1,548.6 24,447.1 90.116.0 5,300.0 0.12 15.50-16.50 1,058.6 25,505.7 94.017.0 5,300.0 0.10 16.50-17.50 684.2 26,189.9 96.518.0 5,300.0 0.08 17.50-18.50 419.4 26,609.3 98.119.0 5,300.0 0.07 18.50-19.50 244.9 26,854.2 99.020.0 5,300.0 0.06 19.50-20.50 137.0 26,991.2 99.521.0 5,300.0 0.05 20.50-21.50 73.6 27,064.7 99.722.0 5,065.0 0.04 21.50-22.50 37.5 27,102.3 99.923.0 4,676.0 0.04 22.50-23.50 18.4 27,120.6 100.024.0 4,392.0 0.03 23.50-24.50 9.1 27,129.7 100.025.0 4,229.0 0.02 24.50-25.50 3.1 27,132.8 100.0

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PARK - TerrainCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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PARK - Wind Data AnalysisCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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PARK - Wind Data AnalysisCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 121.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.36 2.47 0.908 0.6 3.03 0.864 0.9 1 NNE 2.62 2.64 0.982 0.1 2.28 0.902 0.2 2 ENE 4.56 4.27 1.229 1.3 3.32 1.029 0.8 3 E 9.76 8.68 2.725 11.9 10.54 2.640 9.3 4 ESE 10.17 9.09 3.041 32.1 11.03 3.007 30.4 5 SSE 8.54 7.56 2.205 6.1 10.24 2.540 10.1 6 S 5.34 4.93 1.299 0.1 8.79 1.978 1.0 7 SSW 4.38 4.24 1.088 0.2 5.33 1.129 0.1 8 WSW 6.72 6.09 1.455 2.9 5.11 1.116 1.7 9 W 11.31 10.09 2.979 28.4 12.04 2.952 25.210 WNW 10.31 9.15 2.455 14.0 11.44 2.555 16.511 NNW 5.97 5.52 1.287 2.3 9.17 1.811 3.9All 10.08 8.95 2.533 100.0 10.94 2.527 100.0

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PARK - Park power curveCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 0 0 0 0 0 0 0 0 0 0 0 0 0 03.5 330 299 289 330 330 330 289 167 289 330 330 330 303 1674.5 846 788 776 846 846 846 771 523 776 846 846 846 799 5235.5 1,627 1,527 1,508 1,627 1,627 1,627 1,495 1,086 1,508 1,627 1,627 1,627 1,547 1,0866.5 2,734 2,574 2,544 2,734 2,734 2,734 2,524 1,868 2,545 2,734 2,734 2,734 2,607 1,8687.5 4,226 3,986 3,941 4,226 4,226 4,226 3,911 2,925 3,942 4,226 4,226 4,226 4,036 2,9258.5 6,050 5,751 5,705 6,050 6,050 6,050 5,664 4,383 5,706 6,050 6,050 6,050 5,823 4,3839.5 7,870 7,592 7,574 7,870 7,870 7,870 7,522 6,247 7,574 7,870 7,870 7,870 7,680 6,249

10.5 9,348 9,155 9,154 9,348 9,348 9,348 9,118 8,163 9,153 9,348 9,348 9,348 9,226 8,16711.5 10,240 10,146 10,148 10,240 10,240 10,240 10,134 9,637 10,148 10,240 10,240 10,240 10,182 9,64012.5 10,569 10,548 10,552 10,569 10,569 10,569 10,553 10,396 10,551 10,569 10,569 10,569 10,560 10,40013.5 10,600 10,599 10,600 10,600 10,600 10,600 10,600 10,593 10,600 10,600 10,600 10,600 10,600 10,59414.5 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,60015.5 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,60016.5 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,60017.5 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,60018.5 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,60019.5 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,60020.5 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,600 10,60021.5 10,394 10,416 10,421 10,394 10,394 10,394 10,429 10,497 10,425 10,394 10,394 10,394 10,412 10,49622.5 9,768 9,785 9,787 9,768 9,768 9,768 9,789 9,869 9,787 9,768 9,768 9,768 9,780 9,86823.5 9,040 9,053 9,053 9,040 9,040 9,040 9,056 9,112 9,053 9,040 9,040 9,040 9,049 9,11224.5 8,602 8,608 8,608 8,602 8,602 8,602 8,610 8,635 8,608 8,602 8,602 8,602 8,606 8,63525.5 0 0 0 0 0 0 0 0 0 0 0 0 0 026.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses, butdo NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that the samewind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park power curve isnot to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few direction sectors should betested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed (and

direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind distribution

for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTG position. These arefound at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind farm.

The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARK powercurve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions in measuredwind speed.

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PARK - WTG distancesCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 2 815.3 337 2.12 815.3 1 840.0 337 2.13 864.2 8 850.8 286 2.44 819.2 5 822.3 358 3.15 822.3 4 819.2 358 3.16 830.9 7 835.0 455 3.97 835.0 8 850.8 374 3.28 850.8 3 864.2 286 2.4

Min 815.3 815.3 286 2.1Max 864.2 864.2 455 3.9

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PARK - Wind statistics infoCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen. LikewiseWAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,358 4,656,168 840.0 1.8 0.0 -1.8 0.002 A 416,519 4,655,872 815.3 1.8 0.0 -1.8 0.003 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.004 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.005 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.006 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.007 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.008 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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PARK - RIX calculationCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rix within+/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictor tool inwindPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as a bias basedon most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø, see extractbelow:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG) areequally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0), Delta RIXwill be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This could lead to around60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be +0.2,and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around 60%*) toohigh calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speeds around 8m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on a typical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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PARK - MapCalculation: Park Gori II 2wtg's GE158-5.3 700 Hub=120.9m 05.09.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,888 North: 4,653,919

New WTG Existing WTG

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PARK - Main ResultCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 126.0 m = 1.119 kg/m³ -> 91.3 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:12,500

New WTG Site Data

Key results for height 126.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,611 9.0 2.0

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 46,235.6 47,089.2 1.8 52.7 23,117.8 4,624 9.1¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 2 new WTGs with total 10.0 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A Yes ENERCON E-147 EP5 E2-5,000 5,000 147.0 126.0 EMD Mode 0 Standard_5000 kW - preliminary 23,513.1 2.4 9.302 A Yes ENERCON E-147 EP5 E2-5,000 5,000 147.0 126.0 EMD Mode 0 Standard_5000 kW - preliminary 22,722.6 1.2 8.97

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,358 4,656,168 840.0 ENERCON E-147 EP5 E2 5000 147.0 !O! hub: 126.0 m (TOT: 199.5 m) (46)2 New 416,519 4,655,872 815.3 ENERCON E-147 EP5 E2 5000 147.0 !O! hub: 126.0 m (TOT: 199.5 m) (47)

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PARK - Reference WTGsCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 126.0 m = 1.119 kg/m³ -> 91.3 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTG

Key results for height 126.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,611 9.0 2.0

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind corrected Goodness Factorprod. without Free WTGs factor result hours @hub height energy

new WTGs[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.6 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]3 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 04 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 05 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 06 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 07 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 08 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]3 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)4 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)5 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)6 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)

To be continued on next page...

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PARK - Reference WTGsCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019...continued from previous page

UTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]7 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)8 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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PARK - Production AnalysisCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019WTG: All new WTGs, Air density varies with WTG position 1.107 kg/m³ - 1.113 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 30.9 7.1 166.8 4,614.9 13,254.4 1,946.6 51.9 26.3 868.7 13,241.0 5,818.1 463.7 40,490.2+Increase due to hills [MWh] 29.5 3.8 254.2 858.1 1,716.9 350.5 83.7 13.1 658.3 1,861.0 656.1 113.7 6,599.0-Decrease due to wake losses [MWh] 1.7 0.0 0.0 0.0 371.3 333.1 3.5 0.0 0.0 0.0 72.3 71.7 853.6Resulting energy [MWh] 58.6 10.9 421.0 5,473.0 14,600.0 1,964.1 132.1 39.4 1,527.0 15,102.0 6,401.9 505.6 46,235.6Specific energy [kWh/m²] 1,362Specific energy [kWh/kW] 4,624Increase due to hills [%] 95.6 53.9 152.4 18.6 13.0 18.0 161.1 50.0 75.8 14.1 11.3 24.5 16.30Decrease due to wake losses [%] 2.9 0.0 0.0 0.0 2.5 14.5 2.6 0.0 0.0 0.0 1.1 12.4 1.81Utilization [%] 22.4 26.6 24.1 26.1 26.2 22.5 24.3 20.3 20.8 22.1 22.0 17.8 23.6Operational [Hours/year] 61 13 159 1,031 2,665 532 38 20 373 2,353 1,169 208 8,622Full Load Equivalent [Hours/year] 6 1 42 547 1,460 196 13 4 153 1,510 640 51 4,624

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PARK - Production AnalysisCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019WTG: All existing WTGs, Air density varies with WTG position 1.107 kg/m³ - 1.113 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 0.0 103.4 75.3 553.6Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,117.6 13,203.7 775.6 98,691.9Specific energy [kWh/m²] 1,530Specific energy [kWh/kW] 4,768Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.0 0.8 8.9 0.56Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.3 23.1 27.4Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,697 638 37 4,768

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PARK - Power Curve AnalysisCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019WTG: 1 - ENERCON E-147 EP5 E2 5000 147.0 !O!, Hub height: 126.0 mName: Mode 0 Standard_5000 kW - preliminarySource: Enercon GmbH

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

10/05/2019 EMD 15/03/2019 15/07/2019 25.0 Pitch User defined Variable 0.29D0810273-1_#_en_#_Data sheet operating modes E-147 EP5 E2_5000 kW mit TES.pdfThis data is preliminary. Subject to technical changes.Enercon reserves the right to change the above specifications without prior notice.

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 8,581 13,010 17,262 21,030 24,193 26,713ENERCON E-147 EP5 E2 5000 147.0 !O! Mode 0 Standard_5000 kW - preliminary [MWh] 8,091 12,179 16,183 19,811 22,914 25,414Check value [%] 6 7 7 6 6 5The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading (kW/m^2)and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curve measurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]3.0 68.0 0.24 3.0 0.883.5 143.0 0.32 3.5 0.844.0 248.0 0.37 4.0 0.834.5 382.0 0.40 4.5 0.835.0 548.0 0.42 5.0 0.825.5 748.0 0.43 5.5 0.826.0 986.0 0.44 6.0 0.826.5 1,263.0 0.44 6.5 0.817.0 1,578.0 0.44 7.0 0.797.5 1,926.0 0.44 7.5 0.778.0 2,297.0 0.43 8.0 0.748.5 2,676.0 0.42 8.5 0.709.0 3,050.0 0.40 9.0 0.659.5 3,406.0 0.38 9.5 0.6010.0 3,736.0 0.36 10.0 0.5510.5 4,036.0 0.34 10.5 0.5011.0 4,297.0 0.31 11.0 0.4611.5 4,514.0 0.29 11.5 0.4112.0 4,682.0 0.26 12.0 0.3712.5 4,804.0 0.24 12.5 0.3413.0 4,886.0 0.21 13.0 0.3013.5 4,937.0 0.19 13.5 0.2714.0 4,967.0 0.17 14.0 0.2414.5 4,984.0 0.16 14.5 0.2215.0 4,993.0 0.14 15.0 0.2015.5 4,997.0 0.13 15.5 0.1816.0 4,999.0 0.12 16.0 0.1616.5 5,000.0 0.11 16.5 0.1517.0 5,000.0 0.10 17.0 0.1417.5 5,000.0 0.09 17.5 0.1218.0 5,000.0 0.08 18.0 0.1118.5 5,000.0 0.08 18.5 0.1119.0 5,000.0 0.07 19.0 0.1019.5 5,000.0 0.06 19.5 0.0920.0 5,000.0 0.06 20.0 0.0920.5 5,000.0 0.06 20.5 0.0821.0 5,000.0 0.05 21.0 0.0721.5 5,000.0 0.05 21.5 0.0722.0 5,000.0 0.05 22.0 0.0722.5 5,000.0 0.04 22.5 0.0623.0 5,000.0 0.04 23.0 0.0623.5 5,000.0 0.04 23.5 0.0624.0 5,000.0 0.03 24.0 0.0524.5 5,000.0 0.03 24.5 0.0525.0 5,000.0 0.03 25.0 0.05

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.107 kg/m³ New windPRO method (adjustedIEC method, improved to match turbine control) <RECOMMENDED>Wind speed Power Cp Interval Energy Acc.Energy Relative

[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 0.0 0.0 0.03.0 52.5 0.21 2.50- 3.50 21.1 21.1 0.14.0 219.1 0.36 3.50- 4.50 99.6 120.7 0.55.0 490.8 0.42 4.50- 5.50 274.9 395.6 1.76.0 887.6 0.44 5.50- 6.50 592.5 988.1 4.27.0 1,426.1 0.44 6.50- 7.50 1,077.9 2,066.0 8.88.0 2,091.5 0.44 7.50- 8.50 1,696.2 3,762.3 16.09.0 2,803.4 0.41 8.50- 9.50 2,321.5 6,083.8 25.910.0 3,463.6 0.37 9.50-10.50 2,787.6 8,871.3 37.711.0 4,018.2 0.32 10.50-11.50 2,979.2 11,850.5 50.412.0 4,440.3 0.27 11.50-12.50 2,871.7 14,722.3 62.613.0 4,732.9 0.23 12.50-13.50 2,521.5 17,243.8 73.314.0 4,900.1 0.19 13.50-14.50 2,030.9 19,274.7 82.015.0 4,969.6 0.16 14.50-15.50 1,512.7 20,787.4 88.416.0 4,993.0 0.13 15.50-16.50 1,052.7 21,840.1 92.917.0 4,998.8 0.11 16.50-17.50 690.1 22,530.2 95.818.0 5,000.0 0.09 17.50-18.50 428.5 22,958.7 97.619.0 5,000.0 0.08 18.50-19.50 253.3 23,212.0 98.720.0 5,000.0 0.07 19.50-20.50 143.4 23,355.4 99.321.0 5,000.0 0.06 20.50-21.50 78.3 23,433.7 99.722.0 5,000.0 0.05 21.50-22.50 41.7 23,475.4 99.823.0 5,000.0 0.04 22.50-23.50 22.0 23,497.4 99.924.0 5,000.0 0.04 23.50-24.50 11.6 23,509.0 100.025.0 5,000.0 0.03 24.50-25.50 4.1 23,513.1 100.0

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PARK - TerrainCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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PARK - Wind Data AnalysisCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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PARK - Wind Data AnalysisCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 126.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.38 2.50 0.904 0.6 3.07 0.863 0.9 1 NNE 2.64 2.67 0.979 0.1 2.30 0.900 0.2 2 ENE 4.62 4.32 1.229 1.3 3.35 1.027 0.8 3 E 9.86 8.77 2.717 11.9 10.67 2.633 9.3 4 ESE 10.28 9.19 3.033 32.1 11.17 3.000 30.4 5 SSE 8.62 7.64 2.201 6.1 10.36 2.533 10.1 6 S 5.42 5.01 1.299 0.1 8.90 1.973 1.0 7 SSW 4.42 4.29 1.084 0.2 5.39 1.127 0.1 8 WSW 6.80 6.17 1.455 2.9 5.17 1.113 1.7 9 W 11.41 10.18 2.971 28.4 12.16 2.947 25.210 WNW 10.41 9.23 2.447 14.0 11.55 2.550 16.511 NNW 6.02 5.58 1.283 2.3 9.27 1.807 3.9All 10.18 9.04 2.529 100.0 11.06 2.523 100.0

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PARK - Park power curveCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 0 0 0 0 0 0 0 0 0 0 0 0 0 03.5 250 230 228 250 250 250 225 132 228 250 250 250 237 1314.5 682 639 635 682 682 682 627 434 635 682 682 682 652 4345.5 1,346 1,269 1,263 1,346 1,346 1,346 1,248 904 1,263 1,346 1,346 1,346 1,294 9046.5 2,281 2,158 2,149 2,281 2,281 2,281 2,124 1,575 2,149 2,281 2,281 2,281 2,198 1,5747.5 3,497 3,326 3,317 3,497 3,497 3,497 3,279 2,508 3,317 3,497 3,497 3,497 3,384 2,5088.5 4,902 4,703 4,701 4,902 4,902 4,902 4,653 3,720 4,702 4,902 4,902 4,902 4,779 3,7219.5 6,295 6,107 6,118 6,295 6,295 6,295 6,061 5,159 6,118 6,295 6,295 6,295 6,188 5,161

10.5 7,518 7,371 7,383 7,518 7,518 7,518 7,338 6,614 7,383 7,518 7,518 7,518 7,437 6,61611.5 8,497 8,399 8,406 8,497 8,497 8,497 8,385 7,868 8,406 8,497 8,497 8,497 8,442 7,86912.5 9,210 9,152 9,155 9,210 9,210 9,210 9,149 8,812 9,155 9,210 9,210 9,210 9,178 8,81313.5 9,667 9,638 9,640 9,667 9,667 9,667 9,638 9,462 9,639 9,667 9,667 9,667 9,651 9,46414.5 9,888 9,877 9,878 9,888 9,888 9,888 9,878 9,808 9,878 9,888 9,888 9,888 9,883 9,81015.5 9,970 9,967 9,967 9,970 9,970 9,970 9,967 9,946 9,967 9,970 9,970 9,970 9,968 9,94716.5 9,994 9,993 9,993 9,994 9,994 9,994 9,993 9,988 9,993 9,994 9,994 9,994 9,993 9,98917.5 10,000 10,000 10,000 10,000 10,000 10,000 10,000 9,999 10,000 10,000 10,000 10,000 10,000 9,99918.5 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,00019.5 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,00020.5 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,00021.5 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,00022.5 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,00023.5 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,00024.5 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,000 10,00025.5 0 0 0 0 0 0 0 0 0 0 0 0 0 026.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses, butdo NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that the samewind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park power curve isnot to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few direction sectors should betested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed (and

direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind distribution

for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTG position. These arefound at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind farm.

The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARK powercurve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions in measuredwind speed.

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PARK - WTG distancesCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 2 815.3 337 2.32 815.3 1 840.0 337 2.33 864.2 8 850.8 286 2.44 819.2 5 822.3 358 3.15 822.3 4 819.2 358 3.16 830.9 7 835.0 455 3.97 835.0 8 850.8 374 3.28 850.8 3 864.2 286 2.4

Min 815.3 815.3 286 2.3Max 864.2 864.2 455 3.9

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PARK - Wind statistics infoCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen. LikewiseWAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,358 4,656,168 840.0 1.8 0.0 -1.8 0.002 A 416,519 4,655,872 815.3 1.8 0.0 -1.8 0.003 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.004 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.005 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.006 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.007 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.008 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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PARK - RIX calculationCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rix within+/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictor tool inwindPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as a bias basedon most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø, see extractbelow:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG) areequally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0), Delta RIXwill be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This could lead to around60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be +0.2,and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around 60%*) toohigh calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speeds around 8m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on a typical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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PARK - MapCalculation: Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 05.09.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,888 North: 4,653,919

New WTG Existing WTG

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PARK - Main ResultCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 105.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:12,500

New WTG Site Data

Key results for height 105.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,896 8.6 1.9

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 67,036.7 68,195.8 1.7 56.6 22,345.6 4,966 8.6¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 3 new WTGs with total 13.5 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A Yes NORDEX N149/4.0-4.5-4,500 4,500 149.0 105.0 EMD Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04 22,959.9 2.9 8.942 A Yes NORDEX N149/4.0-4.5-4,500 4,500 149.0 105.0 EMD Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04 21,946.2 0.7 8.453 A Yes NORDEX N149/4.0-4.5-4,500 4,500 149.0 105.0 EMD Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04 22,130.7 1.4 8.56

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,358 4,656,168 840.0 NORDEX N149/4.0-4.5 4500 149.0 !O! hub: 105.0 m (TOT: 179.5 m) (48)2 New 416,443 4,655,527 794.7 NORDEX N149/4.0-4.5 4500 149.0 !O! hub: 105.0 m (TOT: 179.5 m) (49)3 New 416,519 4,655,872 815.3 NORDEX N149/4.0-4.5 4500 149.0 !O! hub: 105.0 m (TOT: 179.5 m) (50)

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PARK - Reference WTGsCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 105.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTG

Key results for height 105.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,896 8.6 1.9

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind corrected Goodness Factorprod. without Free WTGs factor result hours @hub height energy

new WTGs[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.6 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]4 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 05 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 06 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 07 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 08 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 09 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]4 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)5 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)6 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)7 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)

To be continued on next page...

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PARK - Reference WTGsCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019...continued from previous page

UTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]8 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)9 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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Gori II

PARK - Production AnalysisCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019WTG: All new WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.114 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.0 9.3 226.9 6,743.0 19,468.3 2,778.5 65.0 35.2 1,186.4 19,688.8 8,527.7 642.5 59,412.5+Increase due to hills [MWh] 35.4 4.5 313.2 1,201.5 2,379.5 446.1 101.5 15.6 820.7 2,447.4 882.0 135.9 8,783.2-Decrease due to wake losses [MWh] 9.0 0.8 0.0 0.0 563.4 387.4 28.8 2.5 0.0 0.0 84.4 82.8 1,159.1Resulting energy [MWh] 67.4 13.0 540.1 7,944.5 21,284.3 2,837.1 137.7 48.4 2,007.1 22,136.1 9,325.3 695.6 67,036.7Specific energy [kWh/m²] 1,282Specific energy [kWh/kW] 4,966Increase due to hills [%] 86.2 48.2 138.1 17.8 12.2 16.1 156.2 44.4 69.2 12.4 10.3 21.1 14.78Decrease due to wake losses [%] 11.8 5.5 0.0 0.0 2.6 12.0 17.3 4.9 0.0 0.0 0.9 10.6 1.70Utilization [%] 22.2 27.5 26.5 29.3 29.4 26.0 22.7 21.1 22.7 24.1 24.2 19.9 26.2Operational [Hours/year] 59 12 151 1,034 2,677 524 34 18 352 2,370 1,173 203 8,607Full Load Equivalent [Hours/year] 5 1 40 588 1,577 210 10 4 149 1,640 691 52 4,966

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PARK - Production AnalysisCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019WTG: All existing WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.114 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 0.0 159.9 75.4 610.1Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,117.6 13,147.3 775.6 98,635.4Specific energy [kWh/m²] 1,529Specific energy [kWh/kW] 4,765Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.0 1.2 8.9 0.61Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.2 23.1 27.4Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,697 635 37 4,765

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PARK - Power Curve AnalysisCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019WTG: 1 - NORDEX N149/4.0-4.5 4500 149.0 !O!, Hub height: 105.0 mName: Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04Source: F008_270_A13_R04

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

08/11/2018 EMD 03/07/2017 20/12/2018 26.0 Pitch User defined Variable 0.26

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 8,583 12,750 16,640 20,011 22,797 24,986NORDEX N149/4.0-4.5 4500 149.0 !O! Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04 [MWh] 8,679 12,893 16,803 20,161 22,891 24,984Check value [%] -1 -1 -1 -1 0 0The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading (kW/m^2)and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curve measurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]3.0 31.0 0.11 3.0 0.833.5 122.0 0.27 3.5 0.834.0 247.0 0.36 4.0 0.824.5 400.0 0.41 4.5 0.815.0 584.0 0.44 5.0 0.805.5 800.0 0.45 5.5 0.796.0 1,054.0 0.46 6.0 0.796.5 1,349.0 0.46 6.5 0.797.0 1,691.0 0.46 7.0 0.797.5 2,083.0 0.46 7.5 0.798.0 2,527.0 0.46 8.0 0.778.5 3,016.0 0.46 8.5 0.749.0 3,506.0 0.45 9.0 0.709.5 3,894.0 0.43 9.5 0.6510.0 4,177.0 0.39 10.0 0.5910.5 4,367.0 0.35 10.5 0.5411.0 4,470.0 0.31 11.0 0.4911.5 4,500.0 0.28 11.5 0.4412.0 4,500.0 0.24 12.0 0.3912.5 4,500.0 0.22 12.5 0.3513.0 4,500.0 0.19 13.0 0.3013.5 4,500.0 0.17 13.5 0.2714.0 4,500.0 0.15 14.0 0.2314.5 4,500.0 0.14 14.5 0.2115.0 4,500.0 0.12 15.0 0.1915.5 4,500.0 0.11 15.5 0.1716.0 4,500.0 0.10 16.0 0.1516.5 4,500.0 0.09 16.5 0.1417.0 4,500.0 0.09 17.0 0.1317.5 4,500.0 0.08 17.5 0.1218.0 4,500.0 0.07 18.0 0.1118.5 4,500.0 0.07 18.5 0.1019.0 4,500.0 0.06 19.0 0.1019.5 4,500.0 0.06 19.5 0.0920.0 4,500.0 0.05 20.0 0.0920.5 4,455.0 0.05 20.5 0.0821.0 4,307.0 0.04 21.0 0.0821.5 4,131.0 0.04 21.5 0.0722.0 3,951.0 0.03 22.0 0.0622.5 3,776.0 0.03 22.5 0.0523.0 3,600.0 0.03 23.0 0.0523.5 3,420.0 0.02 23.5 0.0424.0 3,245.0 0.02 24.0 0.0424.5 3,065.0 0.02 24.5 0.0425.0 2,885.0 0.02 25.0 0.0325.5 2,705.0 0.02 25.5 0.0326.0 2,529.0 0.01 26.0 0.03

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.109 kg/m³ New windPRO method (adjustedIEC method, improved to match turbine control) <RECOMMENDED>Wind speed Power Cp Interval Energy Acc.Energy Relative

[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 0.0 0.0 0.03.0 12.6 0.05 2.50- 3.50 18.3 18.3 0.14.0 213.2 0.34 3.50- 4.50 106.4 124.7 0.55.0 521.9 0.43 4.50- 5.50 315.9 440.6 1.96.0 951.1 0.46 5.50- 6.50 685.2 1,125.7 4.97.0 1,529.4 0.46 6.50- 7.50 1,243.6 2,369.4 10.38.0 2,285.9 0.46 7.50- 8.50 1,976.0 4,345.3 18.99.0 3,189.1 0.45 8.50- 9.50 2,738.0 7,083.4 30.910.0 3,947.7 0.41 9.50-10.50 3,205.1 10,288.5 44.811.0 4,359.4 0.34 10.50-11.50 3,179.4 13,467.8 58.712.0 4,490.5 0.27 11.50-12.50 2,771.2 16,239.0 70.713.0 4,500.0 0.21 12.50-13.50 2,198.1 18,437.1 80.314.0 4,500.0 0.17 13.50-14.50 1,626.3 20,063.4 87.415.0 4,500.0 0.14 14.50-15.50 1,130.2 21,193.6 92.316.0 4,500.0 0.11 15.50-16.50 739.1 21,932.7 95.517.0 4,500.0 0.09 16.50-17.50 456.3 22,389.0 97.518.0 4,500.0 0.08 17.50-18.50 267.1 22,656.1 98.719.0 4,500.0 0.07 18.50-19.50 149.1 22,805.2 99.320.0 4,500.0 0.06 19.50-20.50 79.7 22,884.9 99.721.0 4,307.0 0.05 20.50-21.50 40.2 22,925.0 99.822.0 3,951.0 0.04 21.50-22.50 19.0 22,944.0 99.923.0 3,600.0 0.03 22.50-23.50 8.9 22,952.9 100.024.0 3,245.0 0.02 23.50-24.50 4.2 22,957.1 100.025.0 2,885.0 0.02 24.50-25.50 2.0 22,959.2 100.026.0 2,529.0 0.01 25.50-26.50 0.7 22,959.9 100.0

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PARK - TerrainCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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PARK - Wind Data AnalysisCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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PARK - Wind Data AnalysisCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 105.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.27 2.36 0.916 0.6 2.91 0.869 0.9 1 NNE 2.52 2.53 0.990 0.1 2.19 0.908 0.2 2 ENE 4.37 4.08 1.236 1.3 3.19 1.037 0.8 3 E 9.39 8.35 2.752 11.9 10.08 2.662 9.3 4 ESE 9.79 8.75 3.068 32.1 10.55 3.032 30.4 5 SSE 8.22 7.28 2.229 6.0 9.78 2.562 10.1 6 S 5.04 4.66 1.291 0.1 8.41 1.994 1.0 7 SSW 4.22 4.08 1.096 0.2 5.12 1.137 0.1 8 WSW 6.47 5.86 1.463 2.9 4.90 1.126 1.7 9 W 10.96 9.79 2.998 28.4 11.62 2.973 25.210 WNW 9.99 8.86 2.471 14.0 11.04 2.574 16.511 NNW 5.77 5.33 1.295 2.3 8.84 1.825 3.9All 9.73 8.64 2.549 100.0 10.51 2.540 100.0

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PARK - Park power curveCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 0 0 0 0 0 0 0 0 0 0 0 0 0 03.5 303 277 174 242 303 303 262 202 161 242 303 303 286 1884.5 1,064 1,003 729 914 1,064 1,064 980 775 705 914 1,064 1,064 1,029 7505.5 2,165 2,062 1,604 1,914 2,165 2,165 2,023 1,678 1,565 1,914 2,165 2,165 2,108 1,6396.5 3,667 3,507 2,793 3,276 3,667 3,667 3,443 2,911 2,732 3,276 3,667 3,667 3,577 2,8487.5 5,667 5,427 4,364 5,082 5,667 5,667 5,331 4,541 4,273 5,084 5,667 5,667 5,532 4,4478.5 8,204 7,886 6,475 7,433 8,204 8,204 7,756 6,706 6,358 7,435 8,204 8,204 8,030 6,5859.5 10,861 10,554 9,067 10,081 10,861 10,861 10,467 9,265 8,964 10,081 10,861 10,861 10,706 9,165

10.5 12,589 12,401 11,405 12,092 12,589 12,589 12,381 11,473 11,358 12,091 12,589 12,589 12,509 11,43711.5 13,363 13,294 12,904 13,173 13,363 13,363 13,297 12,915 12,890 13,172 13,363 13,363 13,336 12,90812.5 13,500 13,492 13,435 13,475 13,500 13,500 13,499 13,424 13,434 13,474 13,500 13,500 13,499 13,42913.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50014.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50015.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50016.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50017.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50018.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50019.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50020.5 13,365 13,375 13,418 13,389 13,365 13,365 13,380 13,410 13,425 13,390 13,365 13,365 13,371 13,41421.5 12,393 12,417 12,533 12,454 12,393 12,393 12,423 12,518 12,541 12,454 12,393 12,393 12,405 12,52622.5 11,328 11,348 11,445 11,379 11,328 11,328 11,354 11,433 11,452 11,379 11,328 11,328 11,338 11,43923.5 10,260 10,278 10,360 10,304 10,260 10,260 10,284 10,350 10,366 10,304 10,260 10,260 10,269 10,35524.5 9,195 9,211 9,280 9,232 9,195 9,195 9,217 9,272 9,285 9,232 9,195 9,195 9,203 9,27625.5 8,115 8,124 8,186 8,146 8,115 8,115 8,121 8,179 8,191 8,146 8,115 8,115 8,121 8,18326.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses, butdo NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that the samewind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park power curve isnot to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few direction sectors should betested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed (and

direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind distribution

for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTG position. These arefound at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind farm.

The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARK powercurve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions in measuredwind speed.

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PARK - WTG distancesCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 3 815.3 337 2.32 794.7 3 815.3 353 2.43 815.3 1 840.0 337 2.34 864.2 9 850.8 286 2.45 819.2 6 822.3 358 3.16 822.3 5 819.2 358 3.17 830.9 8 835.0 455 3.98 835.0 9 850.8 374 3.29 850.8 4 864.2 286 2.4

Min 794.7 815.3 286 2.3Max 864.2 864.2 455 3.9

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Project:

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PARK - Wind statistics infoCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen. LikewiseWAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,358 4,656,168 840.0 1.8 0.0 -1.8 0.002 A 416,443 4,655,527 794.7 1.8 0.0 -1.8 0.003 A 416,519 4,655,872 815.3 1.8 0.0 -1.8 0.004 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.005 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.006 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.007 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.008 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.009 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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PARK - RIX calculationCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rix within+/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictor tool inwindPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as a bias basedon most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø, see extractbelow:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG) areequally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0), Delta RIXwill be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This could lead to around60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be +0.2,and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around 60%*) toohigh calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speeds around 8m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on a typical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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PARK - MapCalculation: Park Gori II 3wtg's N149-4.5 Hub=105m 05.09.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,888 North: 4,653,919

New WTG Existing WTG

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PARK - Main ResultCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 109.0 m = 1.120 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:12,500

New WTG Site Data

Key results for height 109.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,038 8.7 1.9

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 61,287.7 62,314.7 1.6 56.8 20,429.2 4,983 8.7¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 3 new WTGs with total 12.3 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A Yes Siemens SWT-DD-142-4,100 4,100 142.0 109.0 EMD Mode 1 - Calculated - Std. 107dB rev1 - 6-2018 20,949.6 2.8 9.012 A Yes Siemens SWT-DD-142-4,100 4,100 142.0 109.0 EMD Mode 1 - Calculated - Std. 107dB rev1 - 6-2018 20,088.2 0.7 8.533 A Yes Siemens SWT-DD-142-4,100 4,100 142.0 109.0 EMD Mode 1 - Calculated - Std. 107dB rev1 - 6-2018 20,249.9 1.3 8.65

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,358 4,656,168 840.0 Siemens SWT-DD-142 4100 142.0 !O! hub: 109.0 m (TOT: 180.0 m) (40)2 New 416,443 4,655,527 794.7 Siemens SWT-DD-142 4100 142.0 !O! hub: 109.0 m (TOT: 180.0 m) (41)3 New 416,519 4,655,872 815.3 Siemens SWT-DD-142 4100 142.0 !O! hub: 109.0 m (TOT: 180.0 m) (42)

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PARK - Reference WTGsCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 109.0 m = 1.120 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTG

Key results for height 109.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,038 8.7 1.9

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind corrected Goodness Factorprod. without Free WTGs factor result hours @hub height energy

new WTGs[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.6 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]4 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 05 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 06 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 07 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 08 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 09 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]4 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)5 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)6 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)7 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)

To be continued on next page...

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PARK - Reference WTGsCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019...continued from previous page

UTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]8 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)9 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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PARK - Production AnalysisCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019WTG: All new WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.113 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 39.8 9.0 219.1 6,223.9 17,942.0 2,580.8 62.2 33.3 1,109.4 18,008.8 7,827.1 599.4 54,654.8+Increase due to hills [MWh] 31.9 4.0 277.3 1,044.4 2,070.4 390.0 89.4 13.7 714.3 2,138.3 767.6 118.6 7,659.9-Decrease due to wake losses [MWh] 8.4 0.7 0.0 0.0 489.0 355.6 25.6 2.3 0.0 0.0 68.1 77.3 1,026.9Resulting energy [MWh] 63.2 12.3 496.4 7,268.3 19,523.4 2,615.2 126.0 44.7 1,823.8 20,147.1 8,526.6 640.8 61,287.7Specific energy [kWh/m²] 1,290Specific energy [kWh/kW] 4,983Increase due to hills [%] 80.1 44.7 126.6 16.8 11.5 15.1 143.8 41.2 64.4 11.9 9.8 19.8 14.02Decrease due to wake losses [%] 11.7 5.4 0.0 0.0 2.4 12.0 16.9 4.9 0.0 0.0 0.8 10.8 1.65Utilization [%] 22.4 27.9 26.3 28.6 28.7 25.6 22.5 20.9 22.3 23.5 23.7 19.6 25.6Operational [Hours/year] 59 12 150 1,033 2,680 525 33 18 350 2,372 1,174 203 8,610Full Load Equivalent [Hours/year] 5 1 40 591 1,587 213 10 4 148 1,638 693 52 4,983

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PARK - Production AnalysisCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019WTG: All existing WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.113 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 0.0 157.9 75.4 608.1Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,117.6 13,149.2 775.6 98,637.4Specific energy [kWh/m²] 1,529Specific energy [kWh/kW] 4,765Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.0 1.2 8.9 0.61Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.2 23.1 27.4Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,697 635 37 4,765

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PARK - Power Curve AnalysisCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019WTG: 1 - Siemens SWT-DD-142 4100 142.0 !O!, Hub height: 109.0 mName: Mode 1 - Calculated - Std. 107dB rev1 - 6-2018Source: Manufacturer

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

11/06/2018 EMD 03/05/2017 11/06/2018 26.0 Pitch User defined Variable 0.26Power Curve Rev. 1.Siemens Wind Power and its affiliates reserve the right to change the above specifications without prior notice.

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 7,800 11,593 15,135 18,207 20,747 22,744Siemens SWT-DD-142 4100 142.0 !O! Mode 1 - Calculated - Std. 107dB rev1 - 6-2018 [MWh] 8,049 11,796 15,276 18,260 20,655 22,439Check value [%] -3 -2 -1 0 0 1The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading (kW/m^2)and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curve measurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]2.0 0.0 0.00 2.0 0.003.0 40.0 0.15 3.0 0.814.0 245.0 0.39 4.0 0.815.0 556.0 0.46 5.0 0.816.0 992.0 0.47 6.0 0.827.0 1,583.0 0.48 7.0 0.848.0 2,308.0 0.46 8.0 0.839.0 3,056.0 0.43 9.0 0.7510.0 3,698.0 0.38 10.0 0.6411.0 4,020.0 0.31 11.0 0.5112.0 4,092.0 0.24 12.0 0.3813.0 4,099.0 0.19 13.0 0.2914.0 4,100.0 0.15 14.0 0.2215.0 4,100.0 0.13 15.0 0.1816.0 4,100.0 0.10 16.0 0.1517.0 4,100.0 0.09 17.0 0.1218.0 4,100.0 0.07 18.0 0.1019.0 4,100.0 0.06 19.0 0.0920.0 4,100.0 0.05 20.0 0.0821.0 3,553.0 0.04 21.0 0.0622.0 3,007.0 0.03 22.0 0.0523.0 2,460.0 0.02 23.0 0.0424.0 1,913.0 0.01 24.0 0.0325.0 1,367.0 0.01 25.0 0.0226.0 820.0 0.00 26.0 0.01

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.108 kg/m³ New windPRO method (adjustedIEC method, improved to match turbine control) <RECOMMENDED>Wind speed Power Cp Interval Energy Acc.Energy Relative

[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 2.0 2.0 0.03.0 35.9 0.15 2.50- 3.50 23.2 25.1 0.14.0 217.2 0.39 3.50- 4.50 107.7 132.9 0.65.0 503.3 0.46 4.50- 5.50 302.1 434.9 2.16.0 903.3 0.48 5.50- 6.50 642.7 1,077.7 5.17.0 1,442.8 0.48 6.50- 7.50 1,151.7 2,229.4 10.68.0 2,109.8 0.47 7.50- 8.50 1,786.0 4,015.4 19.29.0 2,811.2 0.44 8.50- 9.50 2,400.6 6,416.0 30.610.0 3,434.2 0.39 9.50-10.50 2,806.1 9,222.1 44.011.0 3,850.7 0.33 10.50-11.50 2,843.0 12,065.0 57.612.0 4,044.7 0.27 11.50-12.50 2,526.4 14,591.5 69.713.0 4,093.6 0.21 12.50-13.50 2,038.9 16,630.4 79.414.0 4,099.2 0.17 13.50-14.50 1,529.4 18,159.8 86.715.0 4,100.0 0.14 14.50-15.50 1,075.6 19,235.3 91.816.0 4,100.0 0.11 15.50-16.50 712.0 19,947.3 95.217.0 4,100.0 0.10 16.50-17.50 445.0 20,392.4 97.318.0 4,100.0 0.08 17.50-18.50 263.7 20,656.1 98.619.0 4,100.0 0.07 18.50-19.50 149.0 20,805.1 99.320.0 4,100.0 0.06 19.50-20.50 78.9 20,884.0 99.721.0 3,553.0 0.04 20.50-21.50 37.7 20,921.7 99.922.0 3,007.0 0.03 21.50-22.50 16.5 20,938.3 99.923.0 2,460.0 0.02 22.50-23.50 7.0 20,945.3 100.024.0 1,913.0 0.02 23.50-24.50 2.9 20,948.2 100.025.0 1,367.0 0.01 24.50-25.50 1.1 20,949.3 100.026.0 820.0 0.01 25.50-26.50 0.3 20,949.6 100.0

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PARK - TerrainCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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PARK - Wind Data AnalysisCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 109.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.29 2.39 0.912 0.6 2.94 0.868 0.9 1 NNE 2.55 2.56 0.990 0.1 2.21 0.906 0.2 2 ENE 4.41 4.13 1.232 1.3 3.22 1.035 0.8 3 E 9.48 8.44 2.744 11.9 10.20 2.656 9.3 4 ESE 9.89 8.84 3.061 32.1 10.68 3.025 30.4 5 SSE 8.31 7.36 2.225 6.0 9.90 2.556 10.1 6 S 5.12 4.73 1.295 0.1 8.51 1.990 1.0 7 SSW 4.26 4.12 1.096 0.2 5.18 1.135 0.1 8 WSW 6.53 5.91 1.463 2.9 4.96 1.124 1.7 9 W 11.05 9.87 2.994 28.4 11.73 2.968 25.210 WNW 10.07 8.93 2.467 14.0 11.14 2.569 16.511 NNW 5.82 5.38 1.295 2.3 8.93 1.821 3.9All 9.83 8.72 2.545 100.0 10.62 2.537 100.0

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PARK - Park power curveCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 50 47 39 45 50 50 45 40 38 45 50 50 49 393.5 356 330 236 300 356 356 314 258 224 300 356 356 341 2454.5 1,062 1,006 762 928 1,062 1,062 983 796 741 929 1,062 1,062 1,034 7755.5 2,084 1,988 1,565 1,854 2,084 2,084 1,949 1,628 1,531 1,854 2,084 2,084 2,036 1,5936.5 3,481 3,328 2,646 3,110 3,481 3,481 3,267 2,748 2,589 3,111 3,481 3,481 3,403 2,6897.5 5,294 5,074 4,065 4,750 5,294 5,294 4,995 4,210 3,983 4,751 5,294 5,294 5,183 4,1268.5 7,394 7,133 5,884 6,733 7,394 7,394 7,056 6,045 5,792 6,734 7,394 7,394 7,268 5,9539.5 9,447 9,199 7,977 8,813 9,447 9,447 9,140 8,102 7,899 8,813 9,447 9,447 9,336 8,026

10.5 11,141 10,960 10,045 10,674 11,141 11,141 10,928 10,115 9,989 10,672 11,141 11,141 11,064 10,06911.5 11,984 11,902 11,502 11,778 11,984 11,984 11,890 11,511 11,483 11,778 11,984 11,984 11,951 11,49612.5 12,231 12,215 12,134 12,190 12,231 12,231 12,215 12,124 12,131 12,189 12,231 12,231 12,225 12,12413.5 12,291 12,289 12,281 12,286 12,291 12,291 12,289 12,277 12,280 12,286 12,291 12,291 12,290 12,27814.5 12,299 12,299 12,298 12,299 12,299 12,299 12,299 12,298 12,298 12,298 12,299 12,299 12,299 12,29815.5 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,30016.5 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,30017.5 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,30018.5 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,30019.5 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,300 12,30020.5 11,480 11,514 11,678 11,565 11,480 11,480 11,525 11,661 11,689 11,565 11,480 11,480 11,495 11,67121.5 9,840 9,869 9,999 9,909 9,840 9,840 9,880 9,985 10,007 9,909 9,840 9,840 9,852 9,99322.5 8,201 8,225 8,327 8,255 8,201 8,201 8,236 8,316 8,334 8,255 8,201 8,201 8,210 8,32323.5 6,560 6,580 6,659 6,603 6,559 6,559 6,591 6,650 6,664 6,603 6,559 6,559 6,567 6,65624.5 4,920 4,937 4,994 4,952 4,920 4,920 4,948 4,988 4,999 4,952 4,920 4,920 4,926 4,99225.5 3,281 3,287 3,332 3,303 3,281 3,281 3,285 3,327 3,334 3,303 3,281 3,281 3,285 3,33026.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses, butdo NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that the samewind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park power curve isnot to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few direction sectors should betested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed (and

direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind distribution

for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTG position. These arefound at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind farm.

The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARK powercurve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions in measuredwind speed.

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PARK - WTG distancesCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 3 815.3 337 2.42 794.7 3 815.3 353 2.53 815.3 1 840.0 337 2.44 864.2 9 850.8 286 2.45 819.2 6 822.3 358 3.16 822.3 5 819.2 358 3.17 830.9 8 835.0 455 3.98 835.0 9 850.8 374 3.29 850.8 4 864.2 286 2.4

Min 794.7 815.3 286 2.4Max 864.2 864.2 455 3.9

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PARK - Wind statistics infoCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen. LikewiseWAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,358 4,656,168 840.0 1.8 0.0 -1.8 0.002 A 416,443 4,655,527 794.7 1.8 0.0 -1.8 0.003 A 416,519 4,655,872 815.3 1.8 0.0 -1.8 0.004 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.005 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.006 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.007 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.008 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.009 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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PARK - RIX calculationCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rix within+/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictor tool inwindPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as a bias basedon most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø, see extractbelow:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG) areequally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0), Delta RIXwill be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This could lead to around60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be +0.2,and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around 60%*) toohigh calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speeds around 8m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on a typical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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PARK - MapCalculation: Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 05.09.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,888 North: 4,653,919

New WTG Existing WTG

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PARK - Main ResultCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 105.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:12,500

New WTG Site Data

Key results for height 105.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,896 8.6 1.9

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 64,733.2 65,805.7 1.6 58.6 21,577.7 5,138 8.6¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 3 new WTGs with total 12.6 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A Yes VESTAS V150-4.2-4,200 4,200 150.0 105.0 EMD Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017 22,134.5 2.8 8.942 A Yes VESTAS V150-4.2-4,200 4,200 150.0 105.0 EMD Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017 21,217.6 0.7 8.453 A Yes VESTAS V150-4.2-4,200 4,200 150.0 105.0 EMD Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017 21,381.1 1.3 8.56

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,358 4,656,168 840.0 VESTAS V150-4.2 4200 150.0 !O! hub: 105.0 m (TOT: 180.0 m) (43)2 New 416,443 4,655,527 794.7 VESTAS V150-4.2 4200 150.0 !O! hub: 105.0 m (TOT: 180.0 m) (44)3 New 416,519 4,655,872 815.3 VESTAS V150-4.2 4200 150.0 !O! hub: 105.0 m (TOT: 180.0 m) (45)

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PARK - Reference WTGsCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 105.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTG

Key results for height 105.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,896 8.6 1.9

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind corrected Goodness Factorprod. without Free WTGs factor result hours @hub height energy

new WTGs[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.6 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]4 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 05 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 06 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 07 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 08 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 09 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]4 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)5 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)6 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)7 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)

To be continued on next page...

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PARK - Reference WTGsCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019...continued from previous page

UTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]8 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)9 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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Project:

Gori II

PARK - Production AnalysisCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019WTG: All new WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.114 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.6 9.4 230.2 6,591.7 18,972.7 2,726.9 66.0 34.9 1,176.4 19,021.5 8,261.4 630.9 57,763.8+Increase due to hills [MWh] 34.2 4.3 299.4 1,103.6 2,170.9 414.6 96.5 14.8 766.6 2,206.2 804.0 126.7 8,042.0-Decrease due to wake losses [MWh] 9.0 0.8 0.0 0.0 520.7 354.3 27.2 2.4 0.0 0.0 79.2 79.0 1,072.6Resulting energy [MWh] 66.8 13.0 529.6 7,695.3 20,623.0 2,787.2 135.4 47.3 1,943.0 21,227.7 8,986.3 678.6 64,733.2Specific energy [kWh/m²] 1,221Specific energy [kWh/kW] 5,138Increase due to hills [%] 82.3 46.2 130.1 16.7 11.4 15.2 146.2 42.3 65.2 11.6 9.7 20.1 13.92Decrease due to wake losses [%] 11.9 5.6 0.0 0.0 2.5 11.3 16.7 4.9 0.0 0.0 0.9 10.4 1.63Utilization [%] 21.7 27.2 25.6 28.0 28.1 25.2 22.1 20.4 21.7 22.8 23.0 19.2 24.9Operational [Hours/year] 59 12 151 1,034 2,676 524 34 18 352 2,369 1,173 203 8,605Full Load Equivalent [Hours/year] 5 1 42 611 1,637 221 11 4 154 1,685 713 54 5,138

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Project:

Gori II

PARK - Production AnalysisCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019WTG: All existing WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.114 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 0.0 154.1 75.4 604.3Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,117.6 13,153.0 775.5 98,641.1Specific energy [kWh/m²] 1,529Specific energy [kWh/kW] 4,765Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.0 1.2 8.9 0.61Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.2 23.1 27.4Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,697 635 37 4,765

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Project:

Gori II

PARK - Power Curve AnalysisCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019WTG: 1 - VESTAS V150-4.2 4200 150.0 !O!, Hub height: 105.0 mName: Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017Source: Manufacturer

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

27/07/2017 EMD 10/08/2017 10/08/2017 22.5 Pitch User defined Variable 0.24Document no.: DMS 0067-7067 V04.IEC S (HH 105 & 155 m)DiBT WZ2(S) (HH 123 & 166 m)

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 8,530 12,511 16,163 19,289 21,849 23,843VESTAS V150-4.2 4200 150.0 !O! Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017 [MWh] 8,686 12,685 16,332 19,399 21,798 23,511Check value [%] -2 -1 -1 -1 0 1The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading (kW/m^2)and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curve measurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]3.0 78.0 0.27 3.0 1.003.5 172.0 0.37 3.5 0.924.0 287.0 0.41 4.0 0.864.5 426.0 0.43 4.5 0.855.0 601.0 0.44 5.0 0.845.5 814.0 0.45 5.5 0.836.0 1,069.0 0.46 6.0 0.826.5 1,367.0 0.46 6.5 0.827.0 1,717.0 0.46 7.0 0.817.5 2,110.0 0.46 7.5 0.798.0 2,546.0 0.46 8.0 0.788.5 3,002.0 0.45 8.5 0.749.0 3,428.0 0.43 9.0 0.689.5 3,773.0 0.41 9.5 0.6110.0 4,012.0 0.37 10.0 0.5310.5 4,131.0 0.33 10.5 0.4611.0 4,186.0 0.29 11.0 0.3911.5 4,198.0 0.26 11.5 0.3312.0 4,200.0 0.22 12.0 0.2912.5 4,200.0 0.20 12.5 0.2513.0 4,200.0 0.18 13.0 0.2213.5 4,200.0 0.16 13.5 0.2014.0 4,200.0 0.14 14.0 0.1814.5 4,200.0 0.13 14.5 0.1615.0 4,200.0 0.11 15.0 0.1415.5 4,200.0 0.10 15.5 0.1316.0 4,200.0 0.09 16.0 0.1216.5 4,200.0 0.09 16.5 0.1117.0 4,200.0 0.08 17.0 0.1017.5 4,200.0 0.07 17.5 0.0918.0 4,200.0 0.07 18.0 0.0818.5 4,200.0 0.06 18.5 0.0819.0 4,200.0 0.06 19.0 0.0719.5 4,200.0 0.05 19.5 0.0720.0 4,200.0 0.05 20.0 0.0620.5 4,200.0 0.05 20.5 0.0621.0 4,200.0 0.04 21.0 0.0521.5 4,200.0 0.04 21.5 0.0522.0 4,200.0 0.04 22.0 0.0522.5 4,200.0 0.03 22.5 0.05

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.109 kg/m³ New windPRO method (adjustedIEC method, improved to match turbine control) <RECOMMENDED>Wind speed Power Cp Interval Energy Acc.Energy Relative

[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 0.0 0.0 0.03.0 59.0 0.22 2.50- 3.50 27.3 27.3 0.14.0 255.9 0.41 3.50- 4.50 123.1 150.4 0.75.0 541.9 0.44 4.50- 5.50 328.6 479.0 2.26.0 965.7 0.46 5.50- 6.50 697.1 1,176.1 5.37.0 1,551.6 0.46 6.50- 7.50 1,262.6 2,438.8 11.08.0 2,309.3 0.46 7.50- 8.50 1,992.0 4,430.8 20.09.0 3,152.5 0.44 8.50- 9.50 2,705.4 7,136.2 32.210.0 3,818.4 0.39 9.50-10.50 3,103.1 10,239.4 46.311.0 4,126.2 0.32 10.50-11.50 3,021.6 13,261.0 59.912.0 4,194.2 0.25 11.50-12.50 2,596.9 15,857.9 71.613.0 4,200.0 0.20 12.50-13.50 2,054.0 17,911.9 80.914.0 4,200.0 0.16 13.50-14.50 1,519.9 19,431.8 87.815.0 4,200.0 0.13 14.50-15.50 1,056.2 20,488.0 92.616.0 4,200.0 0.10 15.50-16.50 690.8 21,178.8 95.717.0 4,200.0 0.09 16.50-17.50 426.5 21,605.3 97.618.0 4,200.0 0.07 17.50-18.50 249.6 21,854.9 98.719.0 4,200.0 0.06 18.50-19.50 139.3 21,994.3 99.420.0 4,200.0 0.05 19.50-20.50 74.7 22,069.0 99.721.0 4,200.0 0.05 20.50-21.50 38.9 22,107.9 99.922.0 4,200.0 0.04 21.50-22.50 19.9 22,127.8 100.023.0 0.0 0.00 22.50-23.50 6.7 22,134.5 100.0

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PARK - TerrainCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 105.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.27 2.36 0.916 0.6 2.91 0.869 0.9 1 NNE 2.52 2.53 0.990 0.1 2.19 0.908 0.2 2 ENE 4.37 4.08 1.236 1.3 3.19 1.037 0.8 3 E 9.39 8.35 2.752 11.9 10.08 2.662 9.3 4 ESE 9.79 8.75 3.068 32.1 10.55 3.032 30.4 5 SSE 8.22 7.28 2.229 6.0 9.78 2.562 10.1 6 S 5.04 4.66 1.291 0.1 8.41 1.994 1.0 7 SSW 4.22 4.08 1.096 0.2 5.12 1.137 0.1 8 WSW 6.47 5.86 1.463 2.9 4.90 1.126 1.7 9 W 10.96 9.79 2.998 28.4 11.62 2.973 25.210 WNW 9.99 8.86 2.471 14.0 11.04 2.574 16.511 NNW 5.77 5.33 1.295 2.3 8.84 1.825 3.9All 9.73 8.64 2.549 100.0 10.51 2.540 100.0

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Project:

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PARK - Park power curveCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 0 0 0 0 0 0 0 0 0 0 0 0 0 03.5 451 417 265 365 451 451 404 302 247 365 451 451 429 2844.5 1,154 1,095 819 1,004 1,154 1,154 1,075 863 796 1,004 1,154 1,154 1,120 8395.5 2,210 2,106 1,639 1,953 2,210 2,210 2,065 1,720 1,598 1,953 2,210 2,210 2,149 1,6776.5 3,717 3,550 2,805 3,306 3,717 3,717 3,485 2,935 2,738 3,307 3,717 3,717 3,620 2,8667.5 5,746 5,501 4,405 5,144 5,746 5,746 5,403 4,593 4,309 5,145 5,746 5,746 5,605 4,4958.5 8,219 7,908 6,497 7,453 8,219 8,219 7,791 6,725 6,382 7,454 8,219 8,219 8,047 6,6089.5 10,589 10,325 9,058 9,929 10,589 10,589 10,248 9,217 8,977 9,929 10,589 10,589 10,462 9,140

10.5 12,072 11,944 11,299 11,749 12,072 12,072 11,919 11,340 11,266 11,747 12,072 12,072 12,020 11,31911.5 12,533 12,505 12,363 12,463 12,533 12,533 12,502 12,363 12,356 12,462 12,533 12,533 12,523 12,36112.5 12,598 12,596 12,586 12,593 12,598 12,598 12,597 12,585 12,586 12,593 12,598 12,598 12,597 12,58513.5 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,60014.5 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,60015.5 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,60016.5 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,60017.5 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,60018.5 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,60019.5 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,60020.5 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,60021.5 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,60022.5 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,600 12,60023.5 0 0 0 0 0 0 0 0 0 0 0 0 0 024.5 0 0 0 0 0 0 0 0 0 0 0 0 0 025.5 0 0 0 0 0 0 0 0 0 0 0 0 0 026.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses, butdo NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that the samewind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park power curve isnot to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few direction sectors should betested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed (and

direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind distribution

for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTG position. These arefound at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind farm.

The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARK powercurve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions in measuredwind speed.

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PARK - WTG distancesCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 3 815.3 337 2.22 794.7 3 815.3 353 2.43 815.3 1 840.0 337 2.24 864.2 9 850.8 286 2.45 819.2 6 822.3 358 3.16 822.3 5 819.2 358 3.17 830.9 8 835.0 455 3.98 835.0 9 850.8 374 3.29 850.8 4 864.2 286 2.4

Min 794.7 815.3 286 2.2Max 864.2 864.2 455 3.9

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Project:

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PARK - Wind statistics infoCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen. LikewiseWAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,358 4,656,168 840.0 1.8 0.0 -1.8 0.002 A 416,443 4,655,527 794.7 1.8 0.0 -1.8 0.003 A 416,519 4,655,872 815.3 1.8 0.0 -1.8 0.004 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.005 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.006 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.007 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.008 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.009 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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Project:

Gori II

PARK - RIX calculationCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rix within+/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictor tool inwindPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as a bias basedon most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø, see extractbelow:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG) areequally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0), Delta RIXwill be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This could lead to around60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be +0.2,and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around 60%*) toohigh calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speeds around 8m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on a typical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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PARK - MapCalculation: Park Gori II 3wtg's V150-4.2 Hub=105m 05.09.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,888 North: 4,653,919

New WTG Existing WTG

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PARK - Main ResultCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 100.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Site Data

Key results for height 100.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,715 8.5 1.9

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 46,781.5 47,410.3 1.3 50.8 6,683.1 4,455 8.4¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 7 new WTGs with total 10.5 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 7,106.9 1.8 8.842 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,726.0 1.0 8.443 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,636.8 0.8 8.334 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,603.6 0.9 8.315 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,619.5 1.9 8.386 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,449.1 2.1 8.237 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,639.6 0.8 8.31

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,369 4,656,160 840.0 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (53)2 New 416,538 4,655,876 815.6 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (54)3 New 416,458 4,655,542 795.9 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (55)

To be continued on next page...

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PARK - Main ResultCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019...continued from previous page

UTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]4 New 416,316 4,655,191 783.2 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (56)5 New 416,206 4,654,821 777.5 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (57)6 New 415,663 4,654,651 751.8 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (58)7 New 415,800 4,654,359 749.6 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (59)

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PARK - Reference WTGsCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 100.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTG

Key results for height 100.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent roughnessdistribution

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,715 8.5 1.9

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind corrected Goodness Factorprod. without Free WTGs factor result hours @hub height energy

new WTGs[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.6 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]8 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 09 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 0

10 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 011 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 012 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 013 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]8 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)9 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)

10 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)11 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)

To be continued on next page...

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PARK - Reference WTGsCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019...continued from previous page

UTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]12 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)13 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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PARK - Production AnalysisCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019WTG: All new WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.119 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 25.4 6.0 139.9 4,844.3 13,609.4 1,860.9 33.0 22.2 742.5 14,371.4 6,060.3 422.0 42,137.3+Increase due to hills [MWh] 14.1 1.7 142.3 811.6 1,407.7 190.8 43.4 6.7 395.8 1,701.5 505.2 52.2 5,272.9-Decrease due to wake losses [MWh] 3.0 0.9 5.2 48.6 289.8 149.2 7.8 2.9 23.8 62.3 3.5 31.8 628.8Resulting energy [MWh] 36.5 6.7 277.1 5,607.3 14,727.3 1,902.5 68.6 26.0 1,114.4 16,010.7 6,562.0 442.3 46,781.5Specific energy [kWh/m²] 1,250Specific energy [kWh/kW] 4,455Increase due to hills [%] 55.4 27.9 101.7 16.8 10.3 10.3 131.7 30.1 53.3 11.8 8.3 12.4 12.51Decrease due to wake losses [%] 7.5 12.1 1.8 0.9 1.9 7.3 10.2 10.2 2.1 0.4 0.1 6.7 1.33Utilization [%] 23.9 25.5 26.5 30.2 31.1 28.9 25.4 20.6 23.2 25.6 25.9 21.6 27.7Operational [Hours/year] 55 12 133 1,041 2,636 505 25 17 312 2,375 1,157 193 8,461Full Load Equivalent [Hours/year] 3 1 26 534 1,403 181 7 2 106 1,525 625 42 4,455

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PARK - Production AnalysisCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019WTG: All existing WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.119 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 38.8 104.6 75.2 593.4Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,078.8 13,202.6 775.7 98,652.1Specific energy [kWh/m²] 1,529Specific energy [kWh/kW] 4,766Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.1 0.8 8.8 0.60Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.3 23.1 27.4Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,695 638 37 4,766

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PARK - Power Curve AnalysisCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019WTG: 1 - GE WIND ENERGY GE 1.5 xle 1500 82.5 !O!, Hub height: 100.0 mName: Level 0 - Calculated - Standard operation - 2006Source: Manufacturer

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

31/12/2006 EMD 21/11/2000 10/01/2007 20.0 Pitch User defined Variable 0.28Based on document 1.5xle_PCD_allComp_xxxxxxxx.ENxx.03.pdf. Special adapted power curves for air densities 1.02-1.20 kg/m³ available frommanufacturer. When using this PC, WindPRO's standard algorithm for air density adaptation will be used.

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 2,675 4,025 5,308 6,436 7,378 8,125GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! Level 0 - Calculated - Standard operation - 2006 [MWh] 2,544 3,882 5,147 6,211 7,007 7,524Check value [%] 5 4 3 4 5 8The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading (kW/m^2)and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curve measurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]2.5 0.0 0.00 3.0 1.213.0 3.0 0.03 4.0 0.993.5 26.0 0.19 5.0 0.904.0 60.0 0.29 6.0 0.894.5 104.0 0.35 7.0 0.885.0 158.0 0.39 8.0 0.825.5 219.0 0.40 9.0 0.736.0 294.0 0.42 10.0 0.606.5 382.0 0.42 11.0 0.477.0 486.0 0.43 12.0 0.357.5 607.0 0.44 13.0 0.278.0 739.0 0.44 14.0 0.228.5 891.0 0.44 15.0 0.189.0 1,033.0 0.43 16.0 0.149.5 1,175.0 0.42 17.0 0.1210.0 1,290.0 0.39 18.0 0.1010.5 1,379.0 0.36 19.0 0.0911.0 1,442.0 0.33 20.0 0.0711.5 1,472.0 0.30 21.0 0.0712.0 1,491.0 0.26 22.0 0.0612.5 1,497.0 0.23 23.0 0.0513.0 1,500.0 0.21 24.0 0.0513.5 1,500.0 0.19 25.0 0.0414.0 1,500.0 0.1714.5 1,500.0 0.1515.0 1,500.0 0.1415.5 1,500.0 0.1216.0 1,500.0 0.1116.5 1,500.0 0.1017.0 1,500.0 0.0917.5 1,500.0 0.0918.0 1,500.0 0.0818.5 1,500.0 0.0719.0 1,500.0 0.0719.5 1,500.0 0.0620.0 1,500.0 0.06

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.109 kg/m³ New windPRO method (adjustedIEC method, improved to match turbine control) <RECOMMENDED>

Wind speed Power Cp Interval Energy Acc.Energy Relative[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 0.0 0.0 0.03.0 2.4 0.03 2.50- 3.50 3.9 3.9 0.14.0 50.9 0.27 3.50- 4.50 27.3 31.2 0.45.0 139.9 0.38 4.50- 5.50 87.8 118.9 1.76.0 263.8 0.41 5.50- 6.50 197.6 316.6 4.57.0 437.1 0.43 6.50- 7.50 368.2 684.7 9.68.0 667.7 0.44 7.50- 8.50 593.8 1,278.6 18.09.0 941.6 0.44 8.50- 9.50 827.7 2,106.2 29.610.0 1,197.2 0.40 9.50-10.50 987.2 3,093.5 43.511.0 1,375.8 0.35 10.50-11.50 1,008.2 4,101.7 57.712.0 1,462.7 0.29 11.50-12.50 896.2 4,997.9 70.313.0 1,493.7 0.23 12.50-13.50 714.4 5,712.3 80.414.0 1,500.0 0.18 13.50-14.50 524.3 6,236.6 87.815.0 1,500.0 0.15 14.50-15.50 358.9 6,595.5 92.816.0 1,500.0 0.12 15.50-16.50 230.9 6,826.4 96.117.0 1,500.0 0.10 16.50-17.50 140.1 6,966.5 98.018.0 1,500.0 0.09 17.50-18.50 80.7 7,047.2 99.219.0 1,500.0 0.07 18.50-19.50 44.3 7,091.5 99.820.0 1,500.0 0.06 19.50-20.50 15.4 7,106.9 100.0

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PARK - TerrainCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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PARK - Wind Data AnalysisCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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PARK - Wind Data AnalysisCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 100.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.23 2.33 0.916 0.6 2.87 0.870 0.9 1 NNE 2.49 2.49 0.994 0.1 2.16 0.910 0.2 2 ENE 4.31 4.03 1.240 1.3 3.14 1.040 0.8 3 E 9.26 8.24 2.764 11.9 9.92 2.670 9.3 4 ESE 9.66 8.63 3.080 32.1 10.39 3.040 30.4 5 SSE 8.11 7.19 2.236 6.0 9.63 2.570 10.1 6 S 4.94 4.57 1.291 0.1 8.28 2.000 1.0 7 SSW 4.17 4.02 1.100 0.2 5.05 1.140 0.1 8 WSW 6.39 5.78 1.471 2.9 4.83 1.130 1.7 9 W 10.84 9.68 3.006 28.4 11.47 2.980 25.210 WNW 9.87 8.76 2.479 14.0 10.90 2.580 16.511 NNW 5.70 5.26 1.299 2.3 8.72 1.830 3.9All 9.61 8.54 2.553 100.0 10.36 2.545 100.0

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PARK - Wind Data AnalysisCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 420,904 North: 4,653,454Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.25 2.36 0.908 0.6 2.80 0.865 0.9 1 NNE 2.47 2.50 0.967 0.1 2.11 0.904 0.2 2 ENE 4.45 4.17 1.217 1.3 3.07 1.031 0.8 3 E 9.60 8.55 2.744 12.6 9.73 2.648 9.3 4 ESE 9.73 8.69 3.037 31.3 10.19 3.016 30.4 5 SSE 8.03 7.11 2.197 5.8 9.44 2.549 10.1 6 S 5.16 4.76 1.314 0.1 8.11 1.983 1.0 7 SSW 4.11 3.99 1.080 0.2 4.94 1.131 0.1 8 WSW 6.94 6.25 1.521 3.1 4.72 1.121 1.7 9 W 11.29 10.08 2.963 28.6 11.28 2.953 25.210 WNW 10.25 9.09 2.447 13.9 10.72 2.556 16.511 NNW 5.86 5.40 1.307 2.3 8.56 1.813 3.9All 9.88 8.77 2.510 100.0 10.17 2.524 100.0

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PARK - Park power curveCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 0 0 0 0 0 0 0 0 0 0 0 0 0 03.5 146 134 102 87 126 139 131 109 103 85 125 141 145 1084.5 640 607 511 456 590 621 604 511 512 455 588 627 638 5095.5 1,383 1,330 1,178 1,081 1,307 1,353 1,324 1,174 1,179 1,079 1,304 1,364 1,381 1,1726.5 2,419 2,334 2,099 1,954 2,297 2,370 2,319 2,091 2,100 1,950 2,292 2,388 2,415 2,0877.5 3,844 3,717 3,373 3,158 3,667 3,772 3,690 3,365 3,374 3,154 3,659 3,799 3,838 3,3598.5 5,645 5,481 5,048 4,753 5,429 5,553 5,437 5,042 5,048 4,750 5,420 5,591 5,638 5,0359.5 7,546 7,389 6,961 6,630 7,351 7,460 7,344 6,952 6,960 6,630 7,343 7,497 7,541 6,947

10.5 9,111 9,008 8,703 8,428 8,986 9,057 8,986 8,697 8,699 8,427 8,981 9,079 9,107 8,69511.5 10,042 9,995 9,853 9,706 9,987 10,018 9,985 9,854 9,849 9,705 9,985 10,028 10,040 9,85312.5 10,387 10,376 10,339 10,297 10,374 10,381 10,374 10,339 10,337 10,295 10,373 10,384 10,387 10,33813.5 10,489 10,487 10,481 10,473 10,486 10,488 10,487 10,480 10,480 10,473 10,486 10,488 10,489 10,48014.5 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,499 10,500 10,500 10,500 10,50015.5 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,50016.5 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,50017.5 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,50018.5 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,50019.5 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,500 10,50020.5 0 0 0 0 0 0 0 0 0 0 0 0 0 021.5 0 0 0 0 0 0 0 0 0 0 0 0 0 022.5 0 0 0 0 0 0 0 0 0 0 0 0 0 023.5 0 0 0 0 0 0 0 0 0 0 0 0 0 024.5 0 0 0 0 0 0 0 0 0 0 0 0 0 025.5 0 0 0 0 0 0 0 0 0 0 0 0 0 026.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses, butdo NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that the samewind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park power curve isnot to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few direction sectors should betested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed (and

direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind distribution

for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTG position. These arefound at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind farm.

The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARK powercurve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions in measuredwind speed.

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PARK - WTG distancesCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 2 815.6 330 4.02 815.6 1 840.0 330 4.03 795.9 2 815.6 344 4.24 783.2 3 795.9 379 4.65 777.5 4 783.2 385 4.76 751.8 7 749.6 322 3.97 749.6 6 751.8 322 3.98 864.2 13 850.8 286 2.49 819.2 10 822.3 358 3.1

10 822.3 9 819.2 358 3.111 830.9 12 835.0 455 3.912 835.0 13 850.8 374 3.213 850.8 8 864.2 286 2.4

Min 749.6 749.6 286 2.4Max 864.2 864.2 455 4.7

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PARK - Wind statistics infoCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen. LikewiseWAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,369 4,656,160 840.0 1.8 0.0 -1.8 0.002 A 416,538 4,655,876 815.6 1.8 0.0 -1.8 0.003 A 416,458 4,655,542 795.9 1.8 0.0 -1.8 0.004 A 416,316 4,655,191 783.2 1.8 0.0 -1.8 0.005 A 416,206 4,654,821 777.5 1.8 0.0 -1.8 0.006 A 415,663 4,654,651 751.8 1.8 0.0 -1.8 0.007 A 415,800 4,654,359 749.6 1.8 0.0 -1.8 0.008 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.009 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.00

10 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.0011 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.0012 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.0013 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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PARK - RIX calculationCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rix within+/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictor tool inwindPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as a bias basedon most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø, see extractbelow:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG) areequally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0), Delta RIXwill be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This could lead to around60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be +0.2,and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around 60%*) toohigh calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speeds around 8m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on a typical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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PARK - MapCalculation: Park Gori II - SH 7wtg's GE1.5xle Hub=100m 05.09.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,541 North: 4,653,915

New WTG Existing WTG

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ANNEX 3

20 MW LONG VERSION CALCULATED ANNUAL ENERGY AND WTG SITING

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Annex 3

20 MW Range Wind Farm

Calculated Annual Energy and Wind Turbine Generator Siting Wind Turbine Generator Options:

General Electric 4wtg's GE158-5.3 700 Hub=120.9m

Enercon 4wtg's E-147 EP5-5MW Hub=126m

Nordex 5wtg's N149-4.5 Hub=105m

Siemens Gamesa 5wtg's SWT-DD-142-4.1 Hub=109m

Vestas 5wtg's V150-4.2 Hub=105m

General Electric 9wtg's GE1.5xle Hub=100m Second Hand

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PARK - Main ResultCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 121.0 m = 1.119 kg/m³ -> 91.4 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:25,000

New WTG Site Data

Key results for height 121.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,449 8.9 2.0

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 105,887.1 107,404.2 1.4 57.0 26,471.8 4,995 8.9¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 4 new WTGs with total 21.2 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A Yes GE WIND ENERGY 5.3-158 Thrust 700-5,300 5,300 158.0 120.9 EMD 5.3-158 NO Med TI 27,111.7 2.9 9.222 A Yes GE WIND ENERGY 5.3-158 Thrust 700-5,300 5,300 158.0 120.9 EMD 5.3-158 NO Med TI 26,169.7 0.7 8.773 A Yes GE WIND ENERGY 5.3-158 Thrust 700-5,300 5,300 158.0 120.9 EMD 5.3-158 NO Med TI 26,327.0 1.4 8.884 A Yes GE WIND ENERGY 5.3-158 Thrust 700-5,300 5,300 158.0 120.9 EMD 5.3-158 NO Med TI 26,278.7 0.6 8.79

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,358 4,656,168 840.0 GE WIND ENERGY 5.3-158 Thrust 700 5300 158.0 !O! hub: 120.9 m (TOT: 199.9 m) (27)2 New 416,443 4,655,527 794.7 GE WIND ENERGY 5.3-158 Thrust 700 5300 158.0 !O! hub: 120.9 m (TOT: 199.9 m) (28)3 New 416,519 4,655,872 815.3 GE WIND ENERGY 5.3-158 Thrust 700 5300 158.0 !O! hub: 120.9 m (TOT: 199.9 m) (29)4 New 416,173 4,654,811 775.6 GE WIND ENERGY 5.3-158 Thrust 700 5300 158.0 !O! hub: 120.9 m (TOT: 199.9 m) (30)

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PARK - Reference WTGsCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 121.0 m = 1.119 kg/m³ -> 91.4 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTGKey results for height 121.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,449 8.9 2.0

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind Goodness Factorprod. without Free WTGs factor result hours @hub height corrected

new WTGs energy[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.7 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]5 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 06 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 07 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 08 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 09 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 0

10 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]5 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)6 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)7 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)8 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)9 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)

10 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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Project:

Gori II

PARK - Production AnalysisCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019WTG: All new WTGs, Air density varies with WTG position 1.107 kg/m³ - 1.114 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 68.4 16.0 381.5 11,175.4 31,543.5 4,449.8 98.5 56.6 1,877.7 31,693.5 13,580.4 1,026.7 95,968.1+Increase due to hills [MWh] 43.8 5.2 400.2 1,647.3 3,005.0 504.6 124.3 18.7 1,032.9 3,378.7 1,122.3 153.0 11,436.1-Decrease due to wake losses [MWh] 14.3 2.1 0.0 13.8 798.3 431.9 37.7 6.1 0.0 0.0 113.7 99.3 1,517.1Resulting energy [MWh] 98.0 19.2 781.7 12,808.9 33,750.2 4,522.6 185.2 69.2 2,910.6 35,072.2 14,589.0 1,080.3 105,887.1Specific energy [kWh/m²] 1,350Specific energy [kWh/kW] 4,995Increase due to hills [%] 64.0 32.6 104.9 14.7 9.5 11.3 126.2 33.0 55.0 10.7 8.3 14.9 11.92Decrease due to wake losses [%] 12.7 9.7 0.0 0.1 2.3 8.7 16.9 8.0 0.0 0.0 0.8 8.4 1.41Utilization [%] 22.1 26.2 25.6 27.6 28.0 26.1 21.9 20.0 21.9 23.1 23.4 20.0 25.1Operational [Hours/year] 57 12 144 1,049 2,681 518 29 18 335 2,396 1,174 200 8,614Full Load Equivalent [Hours/year] 5 1 37 604 1,592 213 9 3 137 1,654 688 51 4,995

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Project:

Gori II

PARK - Production AnalysisCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019WTG: All existing WTGs, Air density varies with WTG position 1.107 kg/m³ - 1.114 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 32.6 237.8 75.4 720.7Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,085.0 13,069.3 775.5 98,524.8Specific energy [kWh/m²] 1,527Specific energy [kWh/kW] 4,760Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.1 1.8 8.9 0.73Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.1 23.1 27.3Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,695 631 37 4,760

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Project:

Gori II

PARK - Power Curve AnalysisCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019WTG: 1 - GE WIND ENERGY 5.3-158 Thrust 700 5300 158.0 !O!, Hub height: 120.9 m

Name: 5.3-158 NO Med TI Source: Power_Curve-NO_5.3-158-xxHz_106dB_Thrust700_Eng-Rev03_EN_r02

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

05/12/2018 EMD 29/06/2017 06/02/2019 25.0 Pitch User defined Variable 0.27Power_Curve-NO_5.3-158-xxHz_106dB_Thrust700_Eng-Rev03_EN_r02

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 9,739 14,569 19,123 23,102 26,409 29,022GE WIND ENERGY 5.3-158 Thrust 700 5300 158.0 !O! 5.3-158 NO Med TI [MWh] 9,828 14,614 19,129 23,067 26,311 28,823Check value [%] -1 0 0 0 0 1The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading(kW/m^2) and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curvemeasurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]3.0 90.0 0.28 3.0 0.913.5 188.0 0.37 3.5 0.894.0 314.0 0.41 4.0 0.884.5 471.0 0.43 4.5 0.855.0 664.0 0.44 5.0 0.835.5 902.0 0.45 5.5 0.826.0 1,182.0 0.46 6.0 0.826.5 1,513.0 0.46 6.5 0.817.0 1,896.0 0.46 7.0 0.817.5 2,337.0 0.46 7.5 0.808.0 2,819.0 0.46 8.0 0.788.5 3,322.0 0.45 8.5 0.749.0 3,809.0 0.44 9.0 0.689.5 4,264.0 0.41 9.5 0.6210.0 4,651.0 0.39 10.0 0.5610.5 4,939.0 0.36 10.5 0.5011.0 5,160.0 0.32 11.0 0.4411.5 5,266.0 0.29 11.5 0.3912.0 5,300.0 0.26 12.0 0.3412.5 5,300.0 0.23 12.5 0.3013.0 5,300.0 0.20 13.0 0.2613.5 5,300.0 0.18 13.5 0.2314.0 5,300.0 0.16 14.0 0.2114.5 5,300.0 0.14 14.5 0.1815.0 5,300.0 0.13 15.0 0.1715.5 5,300.0 0.12 15.5 0.1516.0 5,300.0 0.11 16.0 0.1416.5 5,300.0 0.10 16.5 0.1317.0 5,300.0 0.09 17.0 0.1117.5 5,300.0 0.08 17.5 0.1118.0 5,300.0 0.08 18.0 0.1018.5 5,300.0 0.07 18.5 0.0919.0 5,300.0 0.06 19.0 0.0819.5 5,300.0 0.06 19.5 0.0820.0 5,300.0 0.06 20.0 0.0720.5 5,300.0 0.05 20.5 0.0721.0 5,256.0 0.05 21.0 0.0621.5 5,197.0 0.04 21.5 0.0622.0 5,065.0 0.04 22.0 0.0522.5 4,884.0 0.04 22.5 0.0523.0 4,676.0 0.03 23.0 0.0423.5 4,520.0 0.03 23.5 0.0424.0 4,392.0 0.03 24.0 0.0424.5 4,301.0 0.02 24.5 0.0325.0 4,229.0 0.02 25.0 0.03

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.107 kg/m³ New windPRO method(adjusted IEC method, improved to match turbine control) <RECOMMENDED>Wind speed Power Cp Interval Energy Acc.Energy Relative

[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 0.0 0.0 0.03.0 69.8 0.24 2.50- 3.50 28.2 28.2 0.14.0 279.5 0.40 3.50- 4.50 126.9 155.1 0.65.0 597.8 0.44 4.50- 5.50 339.4 494.6 1.86.0 1,066.8 0.46 5.50- 6.50 721.9 1,216.4 4.57.0 1,712.2 0.46 6.50- 7.50 1,314.4 2,530.9 9.38.0 2,553.3 0.46 7.50- 8.50 2,095.2 4,626.0 17.19.0 3,489.4 0.44 8.50- 9.50 2,902.0 7,528.0 27.810.0 4,333.0 0.40 9.50-10.50 3,477.4 11,005.4 40.611.0 4,923.3 0.34 10.50-11.50 3,627.2 14,632.6 54.012.0 5,230.6 0.28 11.50-12.50 3,338.4 17,971.0 66.313.0 5,300.0 0.22 12.50-13.50 2,774.0 20,745.0 76.514.0 5,300.0 0.18 13.50-14.50 2,135.7 22,880.7 84.415.0 5,300.0 0.14 14.50-15.50 1,547.4 24,428.0 90.116.0 5,300.0 0.12 15.50-16.50 1,057.8 25,485.9 94.017.0 5,300.0 0.10 16.50-17.50 683.7 26,169.6 96.518.0 5,300.0 0.08 17.50-18.50 419.1 26,588.6 98.119.0 5,300.0 0.07 18.50-19.50 244.7 26,833.3 99.020.0 5,300.0 0.06 19.50-20.50 136.9 26,970.2 99.521.0 5,300.0 0.05 20.50-21.50 73.5 27,043.7 99.722.0 5,065.0 0.04 21.50-22.50 37.5 27,081.2 99.923.0 4,676.0 0.04 22.50-23.50 18.4 27,099.6 100.024.0 4,392.0 0.03 23.50-24.50 9.1 27,108.6 100.025.0 4,229.0 0.02 24.50-25.50 3.1 27,111.7 100.0

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PARK - TerrainCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019 Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019 Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019Wind data: A - WAsP Gori II; Hub height: 121.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.36 2.47 0.908 0.6 3.03 0.864 0.9 1 NNE 2.62 2.64 0.982 0.1 2.28 0.902 0.2 2 ENE 4.56 4.27 1.229 1.3 3.32 1.029 0.8 3 E 9.76 8.68 2.725 11.9 10.54 2.640 9.3 4 ESE 10.17 9.09 3.041 32.1 11.03 3.007 30.4 5 SSE 8.54 7.56 2.205 6.1 10.24 2.540 10.1 6 S 5.34 4.93 1.299 0.1 8.79 1.978 1.0 7 SSW 4.38 4.24 1.088 0.2 5.33 1.129 0.1 8 WSW 6.72 6.09 1.455 2.9 5.11 1.116 1.7 9 W 11.31 10.09 2.979 28.4 12.04 2.952 25.210 WNW 10.31 9.15 2.455 14.0 11.44 2.555 16.511 NNW 5.97 5.52 1.287 2.3 9.17 1.811 3.9All 10.08 8.95 2.533 100.0 10.94 2.527 100.0

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PARK - Park power curveCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 0 0 0 0 0 0 0 0 0 0 0 0 0 03.5 661 620 401 479 661 659 601 498 389 484 661 661 635 4784.5 1,696 1,618 1,208 1,356 1,696 1,692 1,583 1,367 1,183 1,356 1,696 1,696 1,650 1,3375.5 3,260 3,126 2,438 2,685 3,260 3,252 3,058 2,709 2,400 2,693 3,260 3,260 3,181 2,6586.5 5,481 5,264 4,164 4,565 5,481 5,467 5,155 4,597 4,103 4,577 5,481 5,481 5,353 4,5157.5 8,470 8,146 6,497 7,100 8,470 8,449 7,983 7,144 6,406 7,113 8,470 8,470 8,280 7,0218.5 12,124 11,719 9,618 10,349 12,124 12,098 11,525 10,423 9,495 10,360 12,124 12,124 11,897 10,2809.5 15,766 15,387 13,376 13,987 15,766 15,742 15,216 14,103 13,263 13,993 15,766 15,766 15,576 13,995

10.5 18,716 18,455 17,008 17,401 18,716 18,701 18,356 17,499 16,916 17,387 18,716 18,716 18,594 17,43911.5 20,500 20,373 19,647 19,830 20,500 20,492 20,332 19,878 19,592 19,802 20,500 20,500 20,442 19,85312.5 21,142 21,115 20,927 20,965 21,142 21,141 21,119 20,963 20,903 20,945 21,142 21,142 21,133 20,96513.5 21,200 21,199 21,195 21,194 21,200 21,200 21,200 21,193 21,192 21,189 21,200 21,200 21,200 21,19414.5 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,20015.5 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,20016.5 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,20017.5 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,20018.5 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,20019.5 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,20020.5 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,200 21,20021.5 20,788 20,818 20,948 20,899 20,788 20,790 20,838 20,891 20,967 20,901 20,788 20,788 20,806 20,90322.5 19,536 19,559 19,683 19,642 19,536 19,538 19,570 19,639 19,690 19,642 19,536 19,536 19,548 19,64623.5 18,080 18,097 18,185 18,156 18,080 18,081 18,106 18,154 18,190 18,156 18,080 18,080 18,089 18,15924.5 17,204 17,212 17,252 17,240 17,204 17,205 17,217 17,238 17,255 17,240 17,204 17,204 17,208 17,24025.5 0 0 0 0 0 0 0 0 0 0 0 0 0 026.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses,but do NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that thesame wind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park powercurve is not to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few directionsectors should be tested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed

(and direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind

distribution for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTGposition. These are found at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind

farm. The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARKpower curve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions inmeasured wind speed.

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PARK - WTG distancesCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 3 815.3 337 2.12 794.7 3 815.3 353 2.23 815.3 1 840.0 337 2.14 775.6 2 794.7 765 4.85 864.2 10 850.8 286 2.46 819.2 7 822.3 358 3.17 822.3 6 819.2 358 3.18 830.9 9 835.0 455 3.99 835.0 10 850.8 374 3.2

10 850.8 5 864.2 286 2.4Min 775.6 794.7 286 2.1Max 864.2 864.2 765 4.8

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Project:

Gori II

PARK - Wind statistics infoCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen.Likewise WAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,358 4,656,168 840.0 1.8 0.0 -1.8 0.002 A 416,443 4,655,527 794.7 1.8 0.0 -1.8 0.003 A 416,519 4,655,872 815.3 1.8 0.0 -1.8 0.004 A 416,173 4,654,811 775.6 1.8 0.0 -1.7 0.005 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.006 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.007 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.008 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.009 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.00

10 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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PARK - RIX calculationCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rixwithin +/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictortool in windPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as abias based on most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø,see extract below:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG)are equally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0),Delta RIX will be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This couldlead to around 60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be+0.2, and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around60%*) too high calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speedsaround 8 m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on atypical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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PARK - MapCalculation: Park Gori II 4wtg's GE158-5.3 700 Hub=120.9m 17.07.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,796 North: 4,653,919

New WTG Existing WTG

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PARK - Main ResultCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 126.0 m = 1.119 kg/m³ -> 91.3 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:25,000

New WTG Site Data

Key results for height 126.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,611 9.0 2.0

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 91,346.3 92,512.3 1.3 52.1 22,836.6 4,567 9.0¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 4 new WTGs with total 20.0 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A Yes ENERCON E-147 EP5 E2-5,000 5,000 147.0 126.0 EMD Mode 0 Standard_5000 kW - preliminary 23,497.4 2.5 9.302 A Yes ENERCON E-147 EP5 E2-5,000 5,000 147.0 126.0 EMD Mode 0 Standard_5000 kW - preliminary 22,523.1 0.7 8.863 A Yes ENERCON E-147 EP5 E2-5,000 5,000 147.0 126.0 EMD Mode 0 Standard_5000 kW - preliminary 22,705.9 1.2 8.974 A Yes ENERCON E-147 EP5 E2-5,000 5,000 147.0 126.0 EMD Mode 0 Standard_5000 kW - preliminary 22,619.9 0.6 8.88

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,358 4,656,168 840.0 ENERCON E-147 EP5 E2 5000 147.0 !O! hub: 126.0 m (TOT: 199.5 m) (17)2 New 416,443 4,655,527 794.7 ENERCON E-147 EP5 E2 5000 147.0 !O! hub: 126.0 m (TOT: 199.5 m) (18)3 New 416,519 4,655,872 815.3 ENERCON E-147 EP5 E2 5000 147.0 !O! hub: 126.0 m (TOT: 199.5 m) (19)4 New 416,173 4,654,811 775.6 ENERCON E-147 EP5 E2 5000 147.0 !O! hub: 126.0 m (TOT: 199.5 m) (21)

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PARK - Reference WTGsCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 126.0 m = 1.119 kg/m³ -> 91.3 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTGKey results for height 126.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,611 9.0 2.0

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind Goodness Factorprod. without Free WTGs factor result hours @hub height corrected

new WTGs energy[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.7 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]5 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 06 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 07 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 08 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 09 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 0

10 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]5 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)6 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)7 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)8 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)9 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)

10 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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PARK - Production AnalysisCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019WTG: All new WTGs, Air density varies with WTG position 1.107 kg/m³ - 1.114 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 58.7 13.7 324.3 9,505.3 26,902.3 3,798.5 82.7 48.7 1,595.6 27,232.0 11,692.0 884.8 82,138.6+Increase due to hills [MWh] 37.0 4.4 340.2 1,467.8 2,705.1 443.2 105.7 16.1 899.1 3,189.7 1,031.8 133.6 10,373.7-Decrease due to wake losses [MWh] 10.7 1.5 0.0 11.6 620.9 338.7 27.9 4.5 0.0 0.0 72.3 77.8 1,166.0Resulting energy [MWh] 85.0 16.5 664.4 10,961.5 28,986.5 3,903.0 160.6 60.2 2,494.7 30,421.6 12,651.6 940.5 91,346.3Specific energy [kWh/m²] 1,346Specific energy [kWh/kW] 4,567Increase due to hills [%] 63.1 32.1 104.9 15.4 10.1 11.7 127.8 33.1 56.4 11.7 8.8 15.1 12.63Decrease due to wake losses [%] 11.2 8.5 0.0 0.1 2.1 8.0 14.8 7.0 0.0 0.0 0.6 7.6 1.26Utilization [%] 21.6 25.2 24.6 26.5 26.8 25.1 21.6 19.5 21.3 22.5 22.7 19.4 24.3Operational [Hours/year] 57 12 143 1,047 2,684 519 29 18 334 2,398 1,176 200 8,617Full Load Equivalent [Hours/year] 4 1 33 548 1,449 195 8 3 125 1,521 633 47 4,567

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PARK - Production AnalysisCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019WTG: All existing WTGs, Air density varies with WTG position 1.107 kg/m³ - 1.114 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 27.5 200.3 75.3 678.0Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,090.1 13,106.8 775.6 98,567.5Specific energy [kWh/m²] 1,528Specific energy [kWh/kW] 4,762Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.1 1.5 8.9 0.68Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.2 23.1 27.3Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,695 633 37 4,762

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PARK - Power Curve AnalysisCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019WTG: 1 - ENERCON E-147 EP5 E2 5000 147.0 !O!, Hub height: 126.0 mName: Mode 0 Standard_5000 kW - preliminarySource: Enercon GmbH

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

10/05/2019 EMD 15/03/2019 15/07/2019 25.0 Pitch User defined Variable 0.29D0810273-1_#_en_#_Data sheet operating modes E-147 EP5 E2_5000 kW mit TES.pdfThis data is preliminary. Subject to technical changes.Enercon reserves the right to change the above specifications without prior notice.

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 8,581 13,010 17,262 21,030 24,193 26,713ENERCON E-147 EP5 E2 5000 147.0 !O! Mode 0 Standard_5000 kW - preliminary [MWh] 8,091 12,179 16,183 19,811 22,914 25,414Check value [%] 6 7 7 6 6 5The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading(kW/m^2) and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curvemeasurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]3.0 68.0 0.24 3.0 0.883.5 143.0 0.32 3.5 0.844.0 248.0 0.37 4.0 0.834.5 382.0 0.40 4.5 0.835.0 548.0 0.42 5.0 0.825.5 748.0 0.43 5.5 0.826.0 986.0 0.44 6.0 0.826.5 1,263.0 0.44 6.5 0.817.0 1,578.0 0.44 7.0 0.797.5 1,926.0 0.44 7.5 0.778.0 2,297.0 0.43 8.0 0.748.5 2,676.0 0.42 8.5 0.709.0 3,050.0 0.40 9.0 0.659.5 3,406.0 0.38 9.5 0.6010.0 3,736.0 0.36 10.0 0.5510.5 4,036.0 0.34 10.5 0.5011.0 4,297.0 0.31 11.0 0.4611.5 4,514.0 0.29 11.5 0.4112.0 4,682.0 0.26 12.0 0.3712.5 4,804.0 0.24 12.5 0.3413.0 4,886.0 0.21 13.0 0.3013.5 4,937.0 0.19 13.5 0.2714.0 4,967.0 0.17 14.0 0.2414.5 4,984.0 0.16 14.5 0.2215.0 4,993.0 0.14 15.0 0.2015.5 4,997.0 0.13 15.5 0.1816.0 4,999.0 0.12 16.0 0.1616.5 5,000.0 0.11 16.5 0.1517.0 5,000.0 0.10 17.0 0.1417.5 5,000.0 0.09 17.5 0.1218.0 5,000.0 0.08 18.0 0.1118.5 5,000.0 0.08 18.5 0.1119.0 5,000.0 0.07 19.0 0.1019.5 5,000.0 0.06 19.5 0.0920.0 5,000.0 0.06 20.0 0.0920.5 5,000.0 0.06 20.5 0.0821.0 5,000.0 0.05 21.0 0.0721.5 5,000.0 0.05 21.5 0.0722.0 5,000.0 0.05 22.0 0.0722.5 5,000.0 0.04 22.5 0.0623.0 5,000.0 0.04 23.0 0.0623.5 5,000.0 0.04 23.5 0.0624.0 5,000.0 0.03 24.0 0.0524.5 5,000.0 0.03 24.5 0.0525.0 5,000.0 0.03 25.0 0.05

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.107 kg/m³ New windPRO method(adjusted IEC method, improved to match turbine control) <RECOMMENDED>Wind speed Power Cp Interval Energy Acc.Energy Relative

[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 0.0 0.0 0.03.0 52.5 0.21 2.50- 3.50 21.1 21.1 0.14.0 219.1 0.36 3.50- 4.50 99.5 120.7 0.55.0 490.8 0.42 4.50- 5.50 274.7 395.3 1.76.0 887.6 0.44 5.50- 6.50 592.1 987.5 4.27.0 1,426.1 0.44 6.50- 7.50 1,077.2 2,064.7 8.88.0 2,091.5 0.44 7.50- 8.50 1,695.1 3,759.8 16.09.0 2,803.4 0.41 8.50- 9.50 2,320.0 6,079.7 25.910.0 3,463.6 0.37 9.50-10.50 2,785.7 8,865.4 37.711.0 4,018.2 0.32 10.50-11.50 2,977.2 11,842.7 50.412.0 4,440.3 0.27 11.50-12.50 2,869.8 14,712.5 62.613.0 4,732.9 0.23 12.50-13.50 2,519.8 17,232.3 73.314.0 4,900.1 0.19 13.50-14.50 2,029.6 19,261.9 82.015.0 4,969.6 0.16 14.50-15.50 1,511.7 20,773.6 88.416.0 4,993.0 0.13 15.50-16.50 1,052.0 21,825.6 92.917.0 4,998.8 0.11 16.50-17.50 689.6 22,515.2 95.818.0 5,000.0 0.09 17.50-18.50 428.2 22,943.5 97.619.0 5,000.0 0.08 18.50-19.50 253.1 23,196.6 98.720.0 5,000.0 0.07 19.50-20.50 143.3 23,339.9 99.321.0 5,000.0 0.06 20.50-21.50 78.3 23,418.1 99.722.0 5,000.0 0.05 21.50-22.50 41.7 23,459.8 99.823.0 5,000.0 0.04 22.50-23.50 22.0 23,481.8 99.924.0 5,000.0 0.04 23.50-24.50 11.6 23,493.4 100.025.0 5,000.0 0.03 24.50-25.50 4.1 23,497.4 100.0

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PARK - TerrainCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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Project:

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PARK - Wind Data AnalysisCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019 Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019 Wind data: A - WAsP Gori II; Hub height: 126.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.38 2.50 0.904 0.6 3.07 0.863 0.9 1 NNE 2.64 2.67 0.979 0.1 2.30 0.900 0.2 2 ENE 4.62 4.32 1.229 1.3 3.35 1.027 0.8 3 E 9.86 8.77 2.717 11.9 10.67 2.633 9.3 4 ESE 10.28 9.19 3.033 32.1 11.17 3.000 30.4 5 SSE 8.62 7.64 2.201 6.1 10.36 2.533 10.1 6 S 5.42 5.01 1.299 0.1 8.90 1.973 1.0 7 SSW 4.42 4.29 1.084 0.2 5.39 1.127 0.1 8 WSW 6.80 6.17 1.455 2.9 5.17 1.113 1.7 9 W 11.41 10.18 2.971 28.4 12.16 2.947 25.210 WNW 10.41 9.23 2.447 14.0 11.55 2.550 16.511 NNW 6.02 5.58 1.283 2.3 9.27 1.807 3.9All 10.18 9.04 2.529 100.0 11.06 2.523 100.0

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PARK - Park power curveCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 0 0 0 0 0 0 0 0 0 0 0 0 0 03.5 502 474 322 377 502 500 462 382 318 385 502 502 488 3714.5 1,367 1,308 1,005 1,119 1,367 1,363 1,279 1,116 987 1,121 1,367 1,367 1,337 1,0945.5 2,698 2,593 2,054 2,256 2,698 2,691 2,541 2,250 2,024 2,262 2,698 2,698 2,646 2,2126.5 4,572 4,403 3,544 3,866 4,572 4,560 4,319 3,855 3,496 3,875 4,572 4,572 4,488 3,7957.5 7,008 6,772 5,576 6,009 7,008 6,991 6,654 6,004 5,509 6,020 7,008 7,008 6,895 5,9248.5 9,823 9,547 8,134 8,619 9,823 9,803 9,413 8,620 8,056 8,630 9,823 9,823 9,699 8,5369.5 12,610 12,348 11,017 11,436 12,610 12,591 12,218 11,453 10,943 11,439 12,610 12,610 12,503 11,384

10.5 15,056 14,852 13,802 14,114 15,056 15,042 14,756 14,135 13,738 14,107 15,056 15,056 14,975 14,08511.5 17,017 16,882 16,149 16,361 17,017 17,008 16,832 16,375 16,101 16,350 17,017 17,017 16,962 16,34212.5 18,439 18,360 17,899 18,034 18,439 18,434 18,342 18,032 17,871 18,027 18,439 18,439 18,406 18,01413.5 19,344 19,306 19,074 19,140 19,344 19,342 19,300 19,135 19,056 19,133 19,344 19,344 19,328 19,12814.5 19,780 19,767 19,680 19,705 19,780 19,780 19,766 19,699 19,671 19,701 19,780 19,780 19,775 19,69715.5 19,941 19,937 19,912 19,919 19,941 19,941 19,937 19,917 19,909 19,918 19,941 19,941 19,940 19,91716.5 19,988 19,987 19,982 19,983 19,988 19,988 19,987 19,983 19,981 19,983 19,988 19,988 19,988 19,98317.5 20,000 19,999 19,998 19,999 20,000 20,000 19,999 19,998 19,998 19,998 20,000 20,000 20,000 19,99818.5 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,00019.5 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,00020.5 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,00021.5 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,00022.5 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,00023.5 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,00024.5 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,000 20,00025.5 0 0 0 0 0 0 0 0 0 0 0 0 0 026.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses,but do NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that thesame wind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park powercurve is not to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few directionsectors should be tested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed

(and direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind

distribution for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTGposition. These are found at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind

farm. The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARKpower curve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions inmeasured wind speed.

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PARK - WTG distancesCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 3 815.3 337 2.32 794.7 3 815.3 353 2.43 815.3 1 840.0 337 2.34 775.6 2 794.7 765 5.25 864.2 10 850.8 286 2.46 819.2 7 822.3 358 3.17 822.3 6 819.2 358 3.18 830.9 9 835.0 455 3.99 835.0 10 850.8 374 3.2

10 850.8 5 864.2 286 2.4Min 775.6 794.7 286 2.3Max 864.2 864.2 765 5.2

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PARK - Wind statistics infoCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen.Likewise WAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,358 4,656,168 840.0 1.8 0.0 -1.8 0.002 A 416,443 4,655,527 794.7 1.8 0.0 -1.8 0.003 A 416,519 4,655,872 815.3 1.8 0.0 -1.8 0.004 A 416,173 4,654,811 775.6 1.8 0.0 -1.7 0.005 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.006 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.007 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.008 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.009 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.00

10 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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PARK - RIX calculationCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rixwithin +/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictortool in windPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as abias based on most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø,see extract below:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG)are equally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0),Delta RIX will be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This couldlead to around 60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be+0.2, and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around60%*) too high calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speedsaround 8 m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on atypical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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PARK - MapCalculation: Park Gori II 4wtg's E-147 EP5-5MW Hub=126m 17.07.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,796 North: 4,653,919

New WTG Existing WTG

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PARK - Main ResultCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 105.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Site Data

Key results for height 105.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,896 8.6 1.9

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 110,008.3 112,229.5 2.0 55.8 22,001.7 4,889 8.6¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 5 new WTGs with total 22.5 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A Yes NORDEX N149/4.0-4.5-4,500 4,500 149.0 105.0 EMD Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04 22,955.2 2.9 8.942 A Yes NORDEX N149/4.0-4.5-4,500 4,500 149.0 105.0 EMD Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04 21,935.2 0.8 8.453 A Yes NORDEX N149/4.0-4.5-4,500 4,500 149.0 105.0 EMD Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04 22,128.6 1.4 8.564 A Yes NORDEX N149/4.0-4.5-4,500 4,500 149.0 105.0 EMD Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04 21,466.9 1.6 8.355 A Yes NORDEX N149/4.0-4.5-4,500 4,500 149.0 105.0 EMD Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04 21,522.3 3.1 8.48

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,358 4,656,168 840.0 NORDEX N149/4.0-4.5 4500 149.0 !O! hub: 105.0 m (TOT: 179.5 m) (22)2 New 416,443 4,655,527 794.7 NORDEX N149/4.0-4.5 4500 149.0 !O! hub: 105.0 m (TOT: 179.5 m) (23)3 New 416,519 4,655,872 815.3 NORDEX N149/4.0-4.5 4500 149.0 !O! hub: 105.0 m (TOT: 179.5 m) (24)4 New 415,693 4,654,652 753.1 NORDEX N149/4.0-4.5 4500 149.0 !O! hub: 105.0 m (TOT: 179.5 m) (25)5 New 416,173 4,654,811 775.6 NORDEX N149/4.0-4.5 4500 149.0 !O! hub: 105.0 m (TOT: 179.5 m) (26)

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PARK - Reference WTGsCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 105.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTGKey results for height 105.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,896 8.6 1.9

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind Goodness Factorprod. without Free WTGs factor result hours @hub height corrected

new WTGs energy[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.8 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]6 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 07 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 08 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 09 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 0

10 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 011 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]6 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)7 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)8 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)9 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)

10 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)11 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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PARK - Production AnalysisCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019WTG: All new WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.118 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 66.0 15.4 371.4 11,615.3 32,711.5 4,547.1 88.7 56.0 1,856.7 33,527.4 14,285.0 1,041.6 100,182.0+Increase due to hills [MWh] 39.8 4.8 376.2 1,786.5 3,219.8 494.4 115.1 18.0 1,004.4 3,653.0 1,189.5 146.2 12,047.5-Decrease due to wake losses [MWh] 11.1 2.2 18.5 255.0 771.3 387.4 33.9 7.3 85.6 481.6 84.4 82.8 2,221.2Resulting energy [MWh] 94.7 17.9 729.0 13,146.8 35,159.9 4,654.1 169.8 66.8 2,775.4 36,698.7 15,390.1 1,104.9 110,008.2Specific energy [kWh/m²] 1,262Specific energy [kWh/kW] 4,889Increase due to hills [%] 60.3 31.1 101.3 15.4 9.8 10.9 129.8 32.2 54.1 10.9 8.3 14.0 12.03Decrease due to wake losses [%] 10.5 10.9 2.5 1.9 2.1 7.7 16.7 9.8 3.0 1.3 0.5 7.0 1.98Utilization [%] 23.4 26.6 26.3 28.9 30.0 28.2 23.2 20.7 22.5 24.1 24.8 21.4 26.5Operational [Hours/year] 56 12 140 1,051 2,681 515 27 17 324 2,406 1,175 198 8,602Full Load Equivalent [Hours/year] 4 1 32 584 1,563 207 8 3 123 1,631 684 49 4,889

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PARK - Production AnalysisCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019WTG: All existing WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.118 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 63.4 244.2 75.4 757.8Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,054.2 13,062.9 775.6 98,487.7Specific energy [kWh/m²] 1,527Specific energy [kWh/kW] 4,758Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.2 1.8 8.9 0.76Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.1 23.1 27.3Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,693 631 37 4,758

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PARK - Power Curve AnalysisCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019WTG: 1 - NORDEX N149/4.0-4.5 4500 149.0 !O!, Hub height: 105.0 mName: Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04Source: F008_270_A13_R04

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

08/11/2018 EMD 03/07/2017 20/12/2018 26.0 Pitch User defined Variable 0.26

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 8,583 12,750 16,640 20,011 22,797 24,986NORDEX N149/4.0-4.5 4500 149.0 !O! Mode 00 - 4500kW - 1.225 kg/m³ - ESCO R04 [MWh] 8,679 12,893 16,803 20,161 22,891 24,984Check value [%] -1 -1 -1 -1 0 0The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading(kW/m^2) and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curvemeasurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]3.0 31.0 0.11 3.0 0.833.5 122.0 0.27 3.5 0.834.0 247.0 0.36 4.0 0.824.5 400.0 0.41 4.5 0.815.0 584.0 0.44 5.0 0.805.5 800.0 0.45 5.5 0.796.0 1,054.0 0.46 6.0 0.796.5 1,349.0 0.46 6.5 0.797.0 1,691.0 0.46 7.0 0.797.5 2,083.0 0.46 7.5 0.798.0 2,527.0 0.46 8.0 0.778.5 3,016.0 0.46 8.5 0.749.0 3,506.0 0.45 9.0 0.709.5 3,894.0 0.43 9.5 0.6510.0 4,177.0 0.39 10.0 0.5910.5 4,367.0 0.35 10.5 0.5411.0 4,470.0 0.31 11.0 0.4911.5 4,500.0 0.28 11.5 0.4412.0 4,500.0 0.24 12.0 0.3912.5 4,500.0 0.22 12.5 0.3513.0 4,500.0 0.19 13.0 0.3013.5 4,500.0 0.17 13.5 0.2714.0 4,500.0 0.15 14.0 0.2314.5 4,500.0 0.14 14.5 0.2115.0 4,500.0 0.12 15.0 0.1915.5 4,500.0 0.11 15.5 0.1716.0 4,500.0 0.10 16.0 0.1516.5 4,500.0 0.09 16.5 0.1417.0 4,500.0 0.09 17.0 0.1317.5 4,500.0 0.08 17.5 0.1218.0 4,500.0 0.07 18.0 0.1118.5 4,500.0 0.07 18.5 0.1019.0 4,500.0 0.06 19.0 0.1019.5 4,500.0 0.06 19.5 0.0920.0 4,500.0 0.05 20.0 0.0920.5 4,455.0 0.05 20.5 0.0821.0 4,307.0 0.04 21.0 0.0821.5 4,131.0 0.04 21.5 0.0722.0 3,951.0 0.03 22.0 0.0622.5 3,776.0 0.03 22.5 0.0523.0 3,600.0 0.03 23.0 0.0523.5 3,420.0 0.02 23.5 0.0424.0 3,245.0 0.02 24.0 0.0424.5 3,065.0 0.02 24.5 0.0425.0 2,885.0 0.02 25.0 0.0325.5 2,705.0 0.02 25.5 0.0326.0 2,529.0 0.01 26.0 0.03

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.109 kg/m³ New windPRO method(adjusted IEC method, improved to match turbine control) <RECOMMENDED>Wind speed Power Cp Interval Energy Acc.Energy Relative

[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 0.0 0.0 0.03.0 12.6 0.05 2.50- 3.50 18.3 18.3 0.14.0 213.2 0.34 3.50- 4.50 106.4 124.7 0.55.0 521.9 0.43 4.50- 5.50 315.8 440.5 1.96.0 951.1 0.46 5.50- 6.50 685.0 1,125.5 4.97.0 1,529.4 0.46 6.50- 7.50 1,243.4 2,368.9 10.38.0 2,285.9 0.46 7.50- 8.50 1,975.6 4,344.5 18.99.0 3,189.1 0.45 8.50- 9.50 2,737.5 7,081.9 30.910.0 3,947.7 0.41 9.50-10.50 3,204.5 10,286.4 44.811.0 4,359.4 0.34 10.50-11.50 3,178.7 13,465.1 58.712.0 4,490.5 0.27 11.50-12.50 2,770.6 16,235.7 70.713.0 4,500.0 0.21 12.50-13.50 2,197.6 18,433.4 80.314.0 4,500.0 0.17 13.50-14.50 1,626.0 20,059.3 87.415.0 4,500.0 0.14 14.50-15.50 1,129.9 21,189.3 92.316.0 4,500.0 0.11 15.50-16.50 739.0 21,928.2 95.517.0 4,500.0 0.09 16.50-17.50 456.2 22,384.5 97.518.0 4,500.0 0.08 17.50-18.50 267.1 22,651.5 98.719.0 4,500.0 0.07 18.50-19.50 149.1 22,800.6 99.320.0 4,500.0 0.06 19.50-20.50 79.6 22,880.2 99.721.0 4,307.0 0.05 20.50-21.50 40.2 22,920.4 99.822.0 3,951.0 0.04 21.50-22.50 19.0 22,939.4 99.923.0 3,600.0 0.03 22.50-23.50 8.9 22,948.3 100.024.0 3,245.0 0.02 23.50-24.50 4.2 22,952.5 100.025.0 2,885.0 0.02 24.50-25.50 2.0 22,954.5 100.026.0 2,529.0 0.01 25.50-26.50 0.7 22,955.2 100.0

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PARK - TerrainCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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PARK - Wind Data AnalysisCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019Wind data: A - WAsP Gori II; Hub height: 105.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.27 2.36 0.916 0.6 2.91 0.869 0.9 1 NNE 2.52 2.53 0.990 0.1 2.19 0.908 0.2 2 ENE 4.37 4.08 1.236 1.3 3.19 1.037 0.8 3 E 9.39 8.35 2.752 11.9 10.08 2.662 9.3 4 ESE 9.79 8.75 3.068 32.1 10.55 3.032 30.4 5 SSE 8.22 7.28 2.229 6.0 9.78 2.562 10.1 6 S 5.04 4.66 1.291 0.1 8.41 1.994 1.0 7 SSW 4.22 4.08 1.096 0.2 5.12 1.137 0.1 8 WSW 6.47 5.86 1.463 2.9 4.90 1.126 1.7 9 W 10.96 9.79 2.998 28.4 11.62 2.973 25.210 WNW 9.99 8.86 2.471 14.0 11.04 2.574 16.511 NNW 5.77 5.33 1.295 2.3 8.84 1.825 3.9All 9.73 8.64 2.549 100.0 10.51 2.540 100.0

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PARK - Park power curveCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 0 0 0 0 0 0 0 0 0 0 0 0 0 03.5 507 456 340 326 437 463 452 406 329 324 437 468 490 3924.5 1,777 1,661 1,361 1,360 1,613 1,680 1,664 1,489 1,342 1,361 1,613 1,691 1,743 1,4645.5 3,616 3,421 2,919 2,919 3,341 3,453 3,423 3,129 2,887 2,921 3,341 3,472 3,559 3,0906.5 6,125 5,819 5,038 5,039 5,696 5,870 5,820 5,369 4,990 5,042 5,697 5,900 6,035 5,3057.5 9,465 9,007 7,843 7,842 8,822 9,082 9,008 8,339 7,769 7,844 8,823 9,128 9,330 8,2448.5 13,702 13,095 11,549 11,532 12,857 13,198 13,090 12,204 11,444 11,534 12,858 13,260 13,528 12,0839.5 18,129 17,546 15,905 15,892 17,290 17,645 17,599 16,532 15,802 15,893 17,289 17,696 17,974 16,433

10.5 20,998 20,651 19,547 19,562 20,489 20,719 20,722 19,881 19,476 19,548 20,487 20,743 20,918 19,84611.5 22,282 22,156 21,723 21,726 22,094 22,182 22,194 21,835 21,672 21,683 22,093 22,190 22,256 21,82812.5 22,500 22,487 22,424 22,427 22,481 22,492 22,499 22,424 22,407 22,405 22,480 22,491 22,499 22,42913.5 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,499 22,498 22,500 22,500 22,500 22,50014.5 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,50015.5 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,50016.5 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,50017.5 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,50018.5 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,50019.5 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,500 22,50020.5 22,275 22,293 22,342 22,341 22,300 22,289 22,293 22,320 22,349 22,345 22,301 22,289 22,281 22,32421.5 20,655 20,700 20,828 20,830 20,720 20,693 20,695 20,780 20,837 20,830 20,720 20,689 20,667 20,78822.5 18,880 18,919 19,025 19,026 18,935 18,912 18,916 18,985 19,032 19,027 18,935 18,908 18,890 18,99123.5 17,100 17,134 17,225 17,225 17,147 17,128 17,133 17,190 17,231 17,226 17,147 17,124 17,109 17,19524.5 15,325 15,354 15,431 15,431 15,365 15,349 15,355 15,402 15,436 15,432 15,365 15,346 15,333 15,40625.5 13,525 13,543 13,614 13,614 13,558 13,542 13,531 13,589 13,618 13,614 13,558 13,542 13,531 13,59326.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses,but do NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that thesame wind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park powercurve is not to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few directionsectors should be tested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed

(and direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind

distribution for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTGposition. These are found at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind

farm. The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARKpower curve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions inmeasured wind speed.

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PARK - WTG distancesCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 3 815.3 337 2.32 794.7 3 815.3 353 2.43 815.3 1 840.0 337 2.34 753.1 5 775.6 506 3.45 775.6 4 753.1 506 3.46 864.2 11 850.8 286 2.47 819.2 8 822.3 358 3.18 822.3 7 819.2 358 3.19 830.9 10 835.0 455 3.9

10 835.0 11 850.8 374 3.211 850.8 6 864.2 286 2.4

Min 753.1 753.1 286 2.3Max 864.2 864.2 506 3.9

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PARK - Wind statistics infoCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen.Likewise WAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,358 4,656,168 840.0 1.8 0.0 -1.8 0.002 A 416,443 4,655,527 794.7 1.8 0.0 -1.8 0.003 A 416,519 4,655,872 815.3 1.8 0.0 -1.8 0.004 A 415,693 4,654,652 753.1 1.8 0.0 -1.8 0.005 A 416,173 4,654,811 775.6 1.8 0.0 -1.7 0.006 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.007 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.008 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.009 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.00

10 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.0011 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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PARK - RIX calculationCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rixwithin +/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictortool in windPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as abias based on most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø,see extract below:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG)are equally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0),Delta RIX will be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This couldlead to around 60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be+0.2, and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around60%*) too high calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speedsaround 8 m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on atypical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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Gori II

PARK - MapCalculation: Park Gori II 5wtg's N149-4.5 Hub=105m 17.07.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,556 North: 4,653,919

New WTG Existing WTG

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Gori II

PARK - Main ResultCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 109.0 m = 1.120 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Site Data

Key results for height 109.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,038 8.7 1.9

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 100,631.0 102,600.8 1.9 56.0 20,126.2 4,909 8.6¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 5 new WTGs with total 20.5 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A Yes Siemens SWT-DD-142-4,100 4,100 142.0 109.0 EMD Mode 1 - Calculated - Std. 107dB rev1 - 6-2018 20,945.4 2.8 9.012 A Yes Siemens SWT-DD-142-4,100 4,100 142.0 109.0 EMD Mode 1 - Calculated - Std. 107dB rev1 - 6-2018 20,078.3 0.8 8.533 A Yes Siemens SWT-DD-142-4,100 4,100 142.0 109.0 EMD Mode 1 - Calculated - Std. 107dB rev1 - 6-2018 20,248.1 1.4 8.654 A Yes Siemens SWT-DD-142-4,100 4,100 142.0 109.0 EMD Mode 1 - Calculated - Std. 107dB rev1 - 6-2018 19,657.8 1.6 8.435 A Yes Siemens SWT-DD-142-4,100 4,100 142.0 109.0 EMD Mode 1 - Calculated - Std. 107dB rev1 - 6-2018 19,701.3 3.0 8.56

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,358 4,656,168 840.0 Siemens SWT-DD-142 4100 142.0 !O! hub: 109.0 m (TOT: 180.0 m) (7)2 New 416,443 4,655,527 794.7 Siemens SWT-DD-142 4100 142.0 !O! hub: 109.0 m (TOT: 180.0 m) (8)3 New 416,519 4,655,872 815.3 Siemens SWT-DD-142 4100 142.0 !O! hub: 109.0 m (TOT: 180.0 m) (9)4 New 415,693 4,654,652 753.1 Siemens SWT-DD-142 4100 142.0 !O! hub: 109.0 m (TOT: 180.0 m) (10)5 New 416,173 4,654,811 775.6 Siemens SWT-DD-142 4100 142.0 !O! hub: 109.0 m (TOT: 180.0 m) (11)

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Project:

Gori II

PARK - Reference WTGsCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 109.0 m = 1.120 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTGKey results for height 109.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,038 8.7 1.9

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind Goodness Factorprod. without Free WTGs factor result hours @hub height corrected

new WTGs energy[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.8 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]6 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 07 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 08 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 09 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 0

10 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 011 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]6 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)7 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)8 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)9 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)

10 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)11 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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PARK - Production AnalysisCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019 WTG: All new WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.118 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 63.9 14.9 357.2 10,707.3 30,125.8 4,225.6 84.7 52.9 1,735.7 30,652.3 13,111.6 971.5 92,103.5+Increase due to hills [MWh] 35.9 4.3 333.5 1,551.2 2,797.2 432.4 101.5 15.8 875.4 3,188.2 1,034.1 127.7 10,497.3-Decrease due to wake losses [MWh] 10.3 2.0 17.1 225.4 674.7 355.6 30.2 6.7 77.5 424.9 68.1 77.3 1,969.7Resulting energy [MWh] 89.5 17.2 673.5 12,033.1 32,248.3 4,302.3 156.1 62.1 2,533.6 33,415.7 14,077.6 1,021.9 100,631.0Specific energy [kWh/m²] 1,271Specific energy [kWh/kW] 4,909Increase due to hills [%] 56.1 28.9 93.4 14.5 9.3 10.2 119.9 29.9 50.4 10.4 7.9 13.1 11.40Decrease due to wake losses [%] 10.3 10.6 2.5 1.8 2.0 7.6 16.2 9.7 3.0 1.3 0.5 7.0 1.92Utilization [%] 23.8 27.1 26.2 28.3 29.4 27.7 23.0 20.5 22.2 23.6 24.3 21.1 26.0Operational [Hours/year] 56 12 139 1,049 2,684 516 26 17 323 2,407 1,177 198 8,605Full Load Equivalent [Hours/year] 4 1 33 587 1,573 210 8 3 124 1,630 687 50 4,909

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PARK - Production AnalysisCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019WTG: All existing WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.118 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 62.7 241.7 75.4 754.6Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,054.9 13,065.4 775.6 98,490.9Specific energy [kWh/m²] 1,527Specific energy [kWh/kW] 4,758Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.2 1.8 8.9 0.76Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.1 23.1 27.3Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,693 631 37 4,758

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PARK - Power Curve AnalysisCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019WTG: 1 - Siemens SWT-DD-142 4100 142.0 !O!, Hub height: 109.0 mName: Mode 1 - Calculated - Std. 107dB rev1 - 6-2018Source: Manufacturer

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

11/06/2018 EMD 03/05/2017 11/06/2018 26.0 Pitch User defined Variable 0.26Power Curve Rev. 1.Siemens Wind Power and its affiliates reserve the right to change the above specifications without prior notice.

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 7,800 11,593 15,135 18,207 20,747 22,744Siemens SWT-DD-142 4100 142.0 !O! Mode 1 - Calculated - Std. 107dB rev1 - 6-2018 [MWh] 8,049 11,796 15,276 18,260 20,655 22,439Check value [%] -3 -2 -1 0 0 1The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading(kW/m^2) and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curvemeasurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]2.0 0.0 0.00 2.0 0.003.0 40.0 0.15 3.0 0.814.0 245.0 0.39 4.0 0.815.0 556.0 0.46 5.0 0.816.0 992.0 0.47 6.0 0.827.0 1,583.0 0.48 7.0 0.848.0 2,308.0 0.46 8.0 0.839.0 3,056.0 0.43 9.0 0.7510.0 3,698.0 0.38 10.0 0.6411.0 4,020.0 0.31 11.0 0.5112.0 4,092.0 0.24 12.0 0.3813.0 4,099.0 0.19 13.0 0.2914.0 4,100.0 0.15 14.0 0.2215.0 4,100.0 0.13 15.0 0.1816.0 4,100.0 0.10 16.0 0.1517.0 4,100.0 0.09 17.0 0.1218.0 4,100.0 0.07 18.0 0.1019.0 4,100.0 0.06 19.0 0.0920.0 4,100.0 0.05 20.0 0.0821.0 3,553.0 0.04 21.0 0.0622.0 3,007.0 0.03 22.0 0.0523.0 2,460.0 0.02 23.0 0.0424.0 1,913.0 0.01 24.0 0.0325.0 1,367.0 0.01 25.0 0.0226.0 820.0 0.00 26.0 0.01

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.108 kg/m³ New windPRO method(adjusted IEC method, improved to match turbine control) <RECOMMENDED>Wind speed Power Cp Interval Energy Acc.Energy Relative

[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 2.0 2.0 0.03.0 35.9 0.15 2.50- 3.50 23.1 25.1 0.14.0 217.2 0.39 3.50- 4.50 107.7 132.8 0.65.0 503.3 0.46 4.50- 5.50 302.0 434.8 2.16.0 903.3 0.48 5.50- 6.50 642.6 1,077.4 5.17.0 1,442.8 0.48 6.50- 7.50 1,151.5 2,228.9 10.68.0 2,109.8 0.47 7.50- 8.50 1,785.6 4,014.5 19.29.0 2,811.2 0.44 8.50- 9.50 2,400.1 6,414.7 30.610.0 3,434.2 0.39 9.50-10.50 2,805.5 9,220.2 44.011.0 3,850.7 0.33 10.50-11.50 2,842.4 12,062.6 57.612.0 4,044.7 0.27 11.50-12.50 2,525.9 14,588.6 69.713.0 4,093.6 0.21 12.50-13.50 2,038.5 16,627.0 79.414.0 4,099.2 0.17 13.50-14.50 1,529.1 18,156.1 86.715.0 4,100.0 0.14 14.50-15.50 1,075.3 19,231.5 91.816.0 4,100.0 0.11 15.50-16.50 711.8 19,943.3 95.217.0 4,100.0 0.10 16.50-17.50 445.0 20,388.3 97.318.0 4,100.0 0.08 17.50-18.50 263.7 20,652.0 98.619.0 4,100.0 0.07 18.50-19.50 148.9 20,800.9 99.320.0 4,100.0 0.06 19.50-20.50 78.9 20,879.8 99.721.0 3,553.0 0.04 20.50-21.50 37.7 20,917.5 99.922.0 3,007.0 0.03 21.50-22.50 16.5 20,934.0 99.923.0 2,460.0 0.02 22.50-23.50 7.0 20,941.1 100.024.0 1,913.0 0.02 23.50-24.50 2.9 20,944.0 100.025.0 1,367.0 0.01 24.50-25.50 1.1 20,945.1 100.026.0 820.0 0.01 25.50-26.50 0.3 20,945.4 100.0

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Gori II

PARK - TerrainCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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PARK - Wind Data AnalysisCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019 Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019Wind data: A - WAsP Gori II; Hub height: 109.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.29 2.39 0.912 0.6 2.94 0.868 0.9 1 NNE 2.55 2.56 0.990 0.1 2.21 0.906 0.2 2 ENE 4.41 4.13 1.232 1.3 3.22 1.035 0.8 3 E 9.48 8.44 2.744 11.9 10.20 2.656 9.3 4 ESE 9.89 8.84 3.061 32.1 10.68 3.025 30.4 5 SSE 8.31 7.36 2.225 6.0 9.90 2.556 10.1 6 S 5.12 4.73 1.295 0.1 8.51 1.990 1.0 7 SSW 4.26 4.12 1.096 0.2 5.18 1.135 0.1 8 WSW 6.53 5.91 1.463 2.9 4.96 1.124 1.7 9 W 11.05 9.87 2.994 28.4 11.73 2.968 25.210 WNW 10.07 8.93 2.467 14.0 11.14 2.569 16.511 NNW 5.82 5.38 1.295 2.3 8.93 1.821 3.9All 9.83 8.72 2.545 100.0 10.62 2.537 100.0

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Gori II

PARK - Park power curveCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 84 79 71 72 79 80 76 74 70 72 79 81 83 733.5 596 547 441 428 531 555 537 498 428 423 532 561 581 4854.5 1,775 1,669 1,402 1,402 1,628 1,688 1,665 1,509 1,386 1,401 1,628 1,699 1,747 1,4885.5 3,481 3,298 2,839 2,846 3,225 3,330 3,294 3,025 2,813 2,846 3,225 3,349 3,433 2,9906.5 5,814 5,522 4,782 4,797 5,403 5,570 5,520 5,082 4,737 4,792 5,404 5,601 5,737 5,0237.5 8,842 8,421 7,324 7,348 8,242 8,489 8,432 7,758 7,258 7,338 8,243 8,532 8,731 7,6748.5 12,345 11,846 10,486 10,505 11,623 11,927 11,883 10,997 10,398 10,493 11,624 11,974 12,219 10,9049.5 15,766 15,298 13,957 13,957 15,086 15,379 15,349 14,421 13,873 13,944 15,086 15,421 15,656 14,346

10.5 18,582 18,247 17,227 17,212 18,091 18,311 18,300 17,556 17,147 17,182 18,088 18,335 18,505 17,51011.5 19,990 19,842 19,392 19,360 19,782 19,874 19,861 19,517 19,348 19,336 19,782 19,888 19,958 19,50212.5 20,390 20,362 20,271 20,259 20,354 20,370 20,367 20,283 20,254 20,245 20,353 20,372 20,384 20,28313.5 20,485 20,482 20,473 20,472 20,482 20,484 20,483 20,472 20,470 20,469 20,482 20,484 20,485 20,47314.5 20,498 20,498 20,497 20,497 20,498 20,498 20,498 20,497 20,497 20,497 20,498 20,498 20,498 20,49715.5 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,50016.5 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,50017.5 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,50018.5 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,50019.5 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,500 20,50020.5 19,133 19,198 19,377 19,377 19,225 19,186 19,195 19,314 19,389 19,378 19,225 19,179 19,148 19,32421.5 16,400 16,454 16,596 16,596 16,474 16,444 16,456 16,545 16,605 16,597 16,474 16,438 16,412 16,55322.5 13,668 13,713 13,824 13,823 13,727 13,703 13,718 13,783 13,831 13,825 13,727 13,698 13,677 13,79023.5 10,933 10,970 11,055 11,055 10,979 10,961 10,978 11,023 11,061 11,056 10,979 10,956 10,940 11,02924.5 8,200 8,230 8,292 8,291 8,235 8,222 8,241 8,268 8,296 8,292 8,235 8,218 8,206 8,27225.5 5,468 5,480 5,531 5,530 5,491 5,480 5,472 5,514 5,533 5,531 5,491 5,480 5,472 5,51726.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses,but do NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that thesame wind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park powercurve is not to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few directionsectors should be tested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed

(and direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind

distribution for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTGposition. These are found at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind

farm. The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARKpower curve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions inmeasured wind speed.

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PARK - WTG distancesCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 3 815.3 337 2.42 794.7 3 815.3 353 2.53 815.3 1 840.0 337 2.44 753.1 5 775.6 506 3.65 775.6 4 753.1 506 3.66 864.2 11 850.8 286 2.47 819.2 8 822.3 358 3.18 822.3 7 819.2 358 3.19 830.9 10 835.0 455 3.9

10 835.0 11 850.8 374 3.211 850.8 6 864.2 286 2.4

Min 753.1 753.1 286 2.4Max 864.2 864.2 506 3.9

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PARK - Wind statistics infoCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen.Likewise WAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,358 4,656,168 840.0 1.8 0.0 -1.8 0.002 A 416,443 4,655,527 794.7 1.8 0.0 -1.8 0.003 A 416,519 4,655,872 815.3 1.8 0.0 -1.8 0.004 A 415,693 4,654,652 753.1 1.8 0.0 -1.8 0.005 A 416,173 4,654,811 775.6 1.8 0.0 -1.7 0.006 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.007 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.008 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.009 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.00

10 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.0011 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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PARK - RIX calculationCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rixwithin +/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictortool in windPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as abias based on most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø,see extract below:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG)are equally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0),Delta RIX will be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This couldlead to around 60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be+0.2, and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around60%*) too high calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speedsaround 8 m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on atypical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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PARK - MapCalculation: Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,556 North: 4,653,919

New WTG Existing WTG

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PARK - Main ResultCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 105.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Site Data

Key results for height 105.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,896 8.6 1.9

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 106,328.1 108,369.9 1.9 57.8 21,265.6 5,063 8.6¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 5 new WTGs with total 21.0 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A Yes VESTAS V150-4.2-4,200 4,200 150.0 105.0 EMD Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017 22,130.1 2.8 8.942 A Yes VESTAS V150-4.2-4,200 4,200 150.0 105.0 EMD Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017 21,206.9 0.8 8.453 A Yes VESTAS V150-4.2-4,200 4,200 150.0 105.0 EMD Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017 21,379.1 1.4 8.564 A Yes VESTAS V150-4.2-4,200 4,200 150.0 105.0 EMD Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017 20,777.0 1.5 8.355 A Yes VESTAS V150-4.2-4,200 4,200 150.0 105.0 EMD Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017 20,835.1 2.9 8.48

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,358 4,656,168 840.0 VESTAS V150-4.2 4200 150.0 !O! hub: 105.0 m (TOT: 180.0 m) (12)2 New 416,443 4,655,527 794.7 VESTAS V150-4.2 4200 150.0 !O! hub: 105.0 m (TOT: 180.0 m) (13)3 New 416,519 4,655,872 815.3 VESTAS V150-4.2 4200 150.0 !O! hub: 105.0 m (TOT: 180.0 m) (14)4 New 415,693 4,654,652 753.1 VESTAS V150-4.2 4200 150.0 !O! hub: 105.0 m (TOT: 180.0 m) (15)5 New 416,173 4,654,811 775.6 VESTAS V150-4.2 4200 150.0 !O! hub: 105.0 m (TOT: 180.0 m) (16)

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PARK - Reference WTGsCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 105.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTGKey results for height 105.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,896 8.6 1.9

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind Goodness Factorprod. without Free WTGs factor result hours @hub height corrected

new WTGs energy[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.8 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]6 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 07 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 08 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 09 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 0

10 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 011 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]6 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)7 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)8 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)9 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)

10 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)11 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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PARK - Production AnalysisCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019WTG: All new WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.118 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 66.8 15.6 375.0 11,344.4 31,866.1 4,462.2 89.7 55.5 1,836.4 32,378.5 13,836.0 1,022.1 97,348.3+Increase due to hills [MWh] 38.5 4.6 359.6 1,640.5 2,938.7 459.8 109.5 17.1 938.4 3,293.5 1,085.1 136.4 11,021.6-Decrease due to wake losses [MWh] 11.2 2.2 18.3 235.1 712.3 354.3 32.1 7.2 81.2 429.7 79.2 79.0 2,041.8Resulting energy [MWh] 94.2 18.0 716.3 12,749.8 34,092.4 4,567.6 167.1 65.4 2,693.6 35,242.3 14,841.9 1,079.5 106,328.1Specific energy [kWh/m²] 1,203Specific energy [kWh/kW] 5,063Increase due to hills [%] 57.6 29.9 95.9 14.5 9.2 10.3 122.0 30.7 51.1 10.2 7.8 13.3 11.32Decrease due to wake losses [%] 10.6 11.1 2.5 1.8 2.0 7.2 16.1 9.9 2.9 1.2 0.5 6.8 1.88Utilization [%] 23.0 26.3 25.5 27.7 28.7 27.3 22.5 20.0 21.6 22.9 23.6 20.6 25.3Operational [Hours/year] 56 12 140 1,051 2,681 515 27 17 324 2,405 1,175 198 8,600Full Load Equivalent [Hours/year] 4 1 34 607 1,623 218 8 3 128 1,678 707 51 5,063

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PARK - Production AnalysisCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019WTG: All existing WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.118 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 59.8 235.3 75.4 745.3Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,057.8 13,071.9 775.5 98,500.2Specific energy [kWh/m²] 1,527Specific energy [kWh/kW] 4,758Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.2 1.8 8.9 0.75Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.1 23.1 27.3Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,694 631 37 4,758

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PARK - Power Curve AnalysisCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019WTG: 1 - VESTAS V150-4.2 4200 150.0 !O!, Hub height: 105.0 mName: Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017Source: Manufacturer

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

27/07/2017 EMD 10/08/2017 10/08/2017 22.5 Pitch User defined Variable 0.24Document no.: DMS 0067-7067 V04.IEC S (HH 105 & 155 m)DiBT WZ2(S) (HH 123 & 166 m)

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 8,530 12,511 16,163 19,289 21,849 23,843VESTAS V150-4.2 4200 150.0 !O! Level 0 - Calculated - Modes PO1 & PO1-0S - 27-07-2017 [MWh] 8,686 12,685 16,332 19,399 21,798 23,511Check value [%] -2 -1 -1 -1 0 1The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading(kW/m^2) and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curvemeasurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]3.0 78.0 0.27 3.0 1.003.5 172.0 0.37 3.5 0.924.0 287.0 0.41 4.0 0.864.5 426.0 0.43 4.5 0.855.0 601.0 0.44 5.0 0.845.5 814.0 0.45 5.5 0.836.0 1,069.0 0.46 6.0 0.826.5 1,367.0 0.46 6.5 0.827.0 1,717.0 0.46 7.0 0.817.5 2,110.0 0.46 7.5 0.798.0 2,546.0 0.46 8.0 0.788.5 3,002.0 0.45 8.5 0.749.0 3,428.0 0.43 9.0 0.689.5 3,773.0 0.41 9.5 0.6110.0 4,012.0 0.37 10.0 0.5310.5 4,131.0 0.33 10.5 0.4611.0 4,186.0 0.29 11.0 0.3911.5 4,198.0 0.26 11.5 0.3312.0 4,200.0 0.22 12.0 0.2912.5 4,200.0 0.20 12.5 0.2513.0 4,200.0 0.18 13.0 0.2213.5 4,200.0 0.16 13.5 0.2014.0 4,200.0 0.14 14.0 0.1814.5 4,200.0 0.13 14.5 0.1615.0 4,200.0 0.11 15.0 0.1415.5 4,200.0 0.10 15.5 0.1316.0 4,200.0 0.09 16.0 0.1216.5 4,200.0 0.09 16.5 0.1117.0 4,200.0 0.08 17.0 0.1017.5 4,200.0 0.07 17.5 0.0918.0 4,200.0 0.07 18.0 0.0818.5 4,200.0 0.06 18.5 0.0819.0 4,200.0 0.06 19.0 0.0719.5 4,200.0 0.05 19.5 0.0720.0 4,200.0 0.05 20.0 0.0620.5 4,200.0 0.05 20.5 0.0621.0 4,200.0 0.04 21.0 0.0521.5 4,200.0 0.04 21.5 0.0522.0 4,200.0 0.04 22.0 0.0522.5 4,200.0 0.03 22.5 0.05

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.109 kg/m³ New windPRO method(adjusted IEC method, improved to match turbine control) <RECOMMENDED>Wind speed Power Cp Interval Energy Acc.Energy Relative

[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 0.0 0.0 0.03.0 59.0 0.22 2.50- 3.50 27.3 27.3 0.14.0 255.9 0.41 3.50- 4.50 123.1 150.3 0.75.0 541.9 0.44 4.50- 5.50 328.6 478.9 2.26.0 965.7 0.46 5.50- 6.50 697.0 1,175.9 5.37.0 1,551.6 0.46 6.50- 7.50 1,262.4 2,438.3 11.08.0 2,309.3 0.46 7.50- 8.50 1,991.6 4,429.9 20.09.0 3,152.5 0.44 8.50- 9.50 2,704.9 7,134.8 32.210.0 3,818.4 0.39 9.50-10.50 3,102.5 10,237.3 46.311.0 4,126.2 0.32 10.50-11.50 3,021.0 13,258.3 59.912.0 4,194.2 0.25 11.50-12.50 2,596.4 15,854.7 71.613.0 4,200.0 0.20 12.50-13.50 2,053.6 17,908.3 80.914.0 4,200.0 0.16 13.50-14.50 1,519.6 19,427.9 87.815.0 4,200.0 0.13 14.50-15.50 1,056.0 20,483.9 92.616.0 4,200.0 0.10 15.50-16.50 690.6 21,174.5 95.717.0 4,200.0 0.09 16.50-17.50 426.4 21,600.9 97.618.0 4,200.0 0.07 17.50-18.50 249.6 21,850.5 98.719.0 4,200.0 0.06 18.50-19.50 139.3 21,989.8 99.420.0 4,200.0 0.05 19.50-20.50 74.7 22,064.5 99.721.0 4,200.0 0.05 20.50-21.50 38.9 22,103.4 99.922.0 4,200.0 0.04 21.50-22.50 19.9 22,123.3 100.023.0 0.0 0.00 22.50-23.50 6.7 22,130.1 100.0

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PARK - TerrainCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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PARK - Wind Data AnalysisCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019Wind data: A - WAsP Gori II; Hub height: 105.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.27 2.36 0.916 0.6 2.91 0.869 0.9 1 NNE 2.52 2.53 0.990 0.1 2.19 0.908 0.2 2 ENE 4.37 4.08 1.236 1.3 3.19 1.037 0.8 3 E 9.39 8.35 2.752 11.9 10.08 2.662 9.3 4 ESE 9.79 8.75 3.068 32.1 10.55 3.032 30.4 5 SSE 8.22 7.28 2.229 6.0 9.78 2.562 10.1 6 S 5.04 4.66 1.291 0.1 8.41 1.994 1.0 7 SSW 4.22 4.08 1.096 0.2 5.12 1.137 0.1 8 WSW 6.47 5.86 1.463 2.9 4.90 1.126 1.7 9 W 10.96 9.79 2.998 28.4 11.62 2.973 25.210 WNW 9.99 8.86 2.471 14.0 11.04 2.574 16.511 NNW 5.77 5.33 1.295 2.3 8.84 1.825 3.9All 9.73 8.64 2.549 100.0 10.51 2.540 100.0

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Project:

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PARK - Park power curveCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 0 0 0 0 0 0 0 0 0 0 0 0 0 03.5 754 687 516 501 655 694 692 605 504 502 656 700 731 5874.5 1,928 1,814 1,507 1,502 1,764 1,832 1,821 1,637 1,491 1,506 1,764 1,842 1,893 1,6135.5 3,691 3,492 2,978 2,973 3,408 3,523 3,496 3,202 2,945 2,975 3,408 3,542 3,630 3,1596.5 6,209 5,889 5,070 5,061 5,757 5,940 5,894 5,426 5,017 5,065 5,757 5,971 6,111 5,3587.5 9,597 9,127 7,923 7,909 8,934 9,203 9,133 8,444 7,845 7,914 8,935 9,249 9,456 8,3458.5 13,725 13,132 11,581 11,564 12,888 13,230 13,145 12,231 11,480 11,573 12,889 13,288 13,553 12,1149.5 17,673 17,176 15,772 15,743 16,970 17,267 17,210 16,300 15,677 15,738 16,969 17,312 17,545 16,223

10.5 20,131 19,897 19,169 19,146 19,805 19,949 19,928 19,398 19,105 19,113 19,802 19,966 20,078 19,37711.5 20,894 20,843 20,685 20,678 20,825 20,856 20,851 20,724 20,658 20,653 20,825 20,860 20,884 20,72212.5 20,996 20,993 20,983 20,983 20,992 20,994 20,995 20,983 20,978 20,977 20,992 20,994 20,996 20,98413.5 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,00014.5 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,00015.5 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,00016.5 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,00017.5 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,00018.5 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,00019.5 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,00020.5 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,00021.5 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,00022.5 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,000 21,00023.5 0 0 0 0 0 0 0 0 0 0 0 0 0 024.5 0 0 0 0 0 0 0 0 0 0 0 0 0 025.5 0 0 0 0 0 0 0 0 0 0 0 0 0 026.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses,but do NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that thesame wind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park powercurve is not to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few directionsectors should be tested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed

(and direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind

distribution for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTGposition. These are found at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind

farm. The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARKpower curve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions inmeasured wind speed.

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Gori II

PARK - WTG distancesCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 3 815.3 337 2.22 794.7 3 815.3 353 2.43 815.3 1 840.0 337 2.24 753.1 5 775.6 506 3.45 775.6 4 753.1 506 3.46 864.2 11 850.8 286 2.47 819.2 8 822.3 358 3.18 822.3 7 819.2 358 3.19 830.9 10 835.0 455 3.9

10 835.0 11 850.8 374 3.211 850.8 6 864.2 286 2.4

Min 753.1 753.1 286 2.2Max 864.2 864.2 506 3.9

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PARK - Wind statistics infoCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen.Likewise WAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,358 4,656,168 840.0 1.8 0.0 -1.8 0.002 A 416,443 4,655,527 794.7 1.8 0.0 -1.8 0.003 A 416,519 4,655,872 815.3 1.8 0.0 -1.8 0.004 A 415,693 4,654,652 753.1 1.8 0.0 -1.8 0.005 A 416,173 4,654,811 775.6 1.8 0.0 -1.7 0.006 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.007 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.008 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.009 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.00

10 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.0011 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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PARK - RIX calculationCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rixwithin +/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictortool in windPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as abias based on most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø,see extract below:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG)are equally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0),Delta RIX will be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This couldlead to around 60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be+0.2, and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around60%*) too high calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speedsaround 8 m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on atypical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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PARK - MapCalculation: Park Gori II 5wtg's V150-4.2 Hub=105m 17.07.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,556 North: 4,653,919

New WTG Existing WTG

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Project:

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PARK - Main ResultCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 100.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Site Data

Key results for height 100.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,715 8.5 1.9

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 58,313.9 60,525.4 3.7 49.3 6,479.3 4,320 8.4¤) Based on wake reduced results, but no other losses included

*) Included in wake losses is influence from 6 WTG(s) in the neighborhood, which has status as "Reference WTGs", see separate report to identify these.

Calculated Annual Energy for each of 9 new WTGs with total 13.5 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 7,106.6 1.8 8.842 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,725.7 1.0 8.443 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,636.4 0.8 8.334 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,602.9 0.9 8.315 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,580.2 2.4 8.386 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 5,991.9 7.2 8.157 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 5,874.2 11.8 8.298 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,233.8 5.4 8.239 A No GE WIND ENERGY GE 1.5 xle-1,500 1,500 82.5 100.0 EMD Level 0 - Calculated - Standard operation - 2006 6,562.3 1.9 8.31

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 416,369 4,656,160 840.0 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (31)2 New 416,538 4,655,876 815.6 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (32)

To be continued on next page...

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Gori II

PARK - Main ResultCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019...continued from previous page

UTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]3 New 416,458 4,655,542 795.9 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (33)4 New 416,316 4,655,191 783.2 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (34)5 New 416,206 4,654,821 777.5 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (35)6 New 416,323 4,654,450 756.2 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (36)7 New 416,095 4,654,622 765.8 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (37)8 New 415,663 4,654,651 751.8 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (38)9 New 415,800 4,654,359 749.6 GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! hub: 100.0 m (TOT: 141.3 m) (39)

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Project:

Gori II

PARK - Reference WTGsCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 100.0 m = 1.121 kg/m³ -> 91.5 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

RIX correction used

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Scale 1:40,000

New WTG Existing WTGKey results for height 100.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 415,933 4,655,425 WAsP Gori II WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 4,715 8.5 1.9

Calculated Annual Energy for reference WTGsSpecific results Specific results

Calculated GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speed Actual wind Goodness Factorprod. without Free WTGs factor result hours @hub height corrected

new WTGs energy[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s] [MWh/y] [%]98,795.5 99,245.5 0.6 54.4 16,465.9 4,773 9.0 0.0

Calculated Annual Energy for each of 6 reference WTGs with total 20.7 MW rated powerWTG type Power curve

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Calculated Goodness rated diameter height prod. Factor

without new WTGs

[kW] [m] [m] [MWh/y] [%]10 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 011 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 012 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 013 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 014 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 015 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description Production source Statistical basis

for normalized production:

[m] [Months]10 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)11 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)12 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)13 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)14 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)15 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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Project:

Gori II

PARK - Production AnalysisCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019WTG: All new WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.119 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 32.5 7.9 176.6 6,338.2 17,448.2 2,362.0 42.1 28.3 956.0 18,583.1 7,759.4 537.6 54,271.9+Increase due to hills [MWh] 16.7 1.7 182.7 1,006.9 1,578.5 187.8 53.2 7.5 507.9 2,093.3 565.8 51.6 6,253.6-Decrease due to wake losses [MWh] 4.7 1.5 10.1 257.6 901.9 200.7 10.3 4.6 46.2 530.8 200.8 42.3 2,211.5Resulting energy [MWh] 44.6 8.1 349.2 7,087.4 18,124.8 2,349.1 85.1 31.2 1,417.7 20,145.6 8,124.4 546.9 58,313.9Specific energy [kWh/m²] 1,212Specific energy [kWh/kW] 4,320Increase due to hills [%] 51.5 22.1 103.4 15.9 9.0 8.0 126.2 26.6 53.1 11.3 7.3 9.6 11.52Decrease due to wake losses [%] 9.5 15.3 2.8 3.5 4.7 7.9 10.8 12.8 3.2 2.6 2.4 7.2 3.65Utilization [%] 23.6 24.7 26.4 29.5 30.5 29.1 25.6 20.2 23.1 25.1 25.6 21.8 27.2Operational [Hours/year] 54 12 133 1,054 2,625 499 25 16 313 2,380 1,152 191 8,457Full Load Equivalent [Hours/year] 3 1 26 525 1,343 174 6 2 105 1,492 602 41 4,320

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Project:

Gori II

PARK - Production AnalysisCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019WTG: All existing WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.119 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 55.7 119.9 75.2 625.7Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,061.9 13,187.2 775.7 98,619.8Specific energy [kWh/m²] 1,529Specific energy [kWh/kW] 4,764Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.2 0.9 8.8 0.63Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.3 23.1 27.4Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,694 637 37 4,764

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Project:

Gori II

PARK - Power Curve AnalysisCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019WTG: 1 - GE WIND ENERGY GE 1.5 xle 1500 82.5 !O!, Hub height: 100.0 mName: Level 0 - Calculated - Standard operation - 2006Source: Manufacturer

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

31/12/2006 EMD 21/11/2000 10/01/2007 20.0 Pitch User defined Variable 0.28Based on document 1.5xle_PCD_allComp_xxxxxxxx.ENxx.03.pdf. Special adapted power curves for air densities 1.02-1.20 kg/m³ available frommanufacturer. When using this PC, WindPRO's standard algorithm for air density adaptation will be used.

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 2,675 4,025 5,308 6,436 7,378 8,125GE WIND ENERGY GE 1.5 xle 1500 82.5 !O! Level 0 - Calculated - Standard operation - 2006 [MWh] 2,544 3,882 5,147 6,211 7,007 7,524Check value [%] 5 4 3 4 5 8The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading(kW/m^2) and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curvemeasurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]2.5 0.0 0.00 3.0 1.213.0 3.0 0.03 4.0 0.993.5 26.0 0.19 5.0 0.904.0 60.0 0.29 6.0 0.894.5 104.0 0.35 7.0 0.885.0 158.0 0.39 8.0 0.825.5 219.0 0.40 9.0 0.736.0 294.0 0.42 10.0 0.606.5 382.0 0.42 11.0 0.477.0 486.0 0.43 12.0 0.357.5 607.0 0.44 13.0 0.278.0 739.0 0.44 14.0 0.228.5 891.0 0.44 15.0 0.189.0 1,033.0 0.43 16.0 0.149.5 1,175.0 0.42 17.0 0.1210.0 1,290.0 0.39 18.0 0.1010.5 1,379.0 0.36 19.0 0.0911.0 1,442.0 0.33 20.0 0.0711.5 1,472.0 0.30 21.0 0.0712.0 1,491.0 0.26 22.0 0.0612.5 1,497.0 0.23 23.0 0.0513.0 1,500.0 0.21 24.0 0.0513.5 1,500.0 0.19 25.0 0.0414.0 1,500.0 0.1714.5 1,500.0 0.1515.0 1,500.0 0.1415.5 1,500.0 0.1216.0 1,500.0 0.1116.5 1,500.0 0.1017.0 1,500.0 0.0917.5 1,500.0 0.0918.0 1,500.0 0.0818.5 1,500.0 0.0719.0 1,500.0 0.0719.5 1,500.0 0.0620.0 1,500.0 0.06

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.109 kg/m³ New windPRO method(adjusted IEC method, improved to match turbine control) <RECOMMENDED>

Wind speed Power Cp Interval Energy Acc.Energy Relative[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 0.0 0.0 0.03.0 2.4 0.03 2.50- 3.50 3.9 3.9 0.14.0 50.9 0.27 3.50- 4.50 27.3 31.2 0.45.0 139.9 0.38 4.50- 5.50 87.8 118.9 1.76.0 263.8 0.41 5.50- 6.50 197.6 316.6 4.57.0 437.1 0.43 6.50- 7.50 368.1 684.7 9.68.0 667.7 0.44 7.50- 8.50 593.8 1,278.5 18.09.0 941.6 0.44 8.50- 9.50 827.6 2,106.2 29.610.0 1,197.2 0.40 9.50-10.50 987.2 3,093.3 43.511.0 1,375.8 0.35 10.50-11.50 1,008.1 4,101.5 57.712.0 1,462.7 0.29 11.50-12.50 896.2 4,997.6 70.313.0 1,493.7 0.23 12.50-13.50 714.4 5,712.0 80.414.0 1,500.0 0.18 13.50-14.50 524.3 6,236.3 87.815.0 1,500.0 0.15 14.50-15.50 358.9 6,595.2 92.816.0 1,500.0 0.12 15.50-16.50 230.8 6,826.1 96.117.0 1,500.0 0.10 16.50-17.50 140.1 6,966.2 98.018.0 1,500.0 0.09 17.50-18.50 80.7 7,046.8 99.219.0 1,500.0 0.07 18.50-19.50 44.3 7,091.1 99.820.0 1,500.0 0.06 19.50-20.50 15.4 7,106.6 100.0

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Project:

Gori II

PARK - TerrainCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019Site Data: A - WAsP Gori II

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.18 2.28 0.908 0.6 2.80 0.865 0.9 1 NNE 2.43 2.45 0.982 0.1 2.11 0.904 0.2 2 ENE 4.22 3.95 1.225 1.3 3.07 1.031 0.8 3 E 9.10 8.09 2.725 11.9 9.73 2.648 9.3 4 ESE 9.50 8.48 3.037 32.0 10.19 3.016 30.4 5 SSE 7.98 7.06 2.209 6.0 9.44 2.549 10.1 6 S 4.84 4.49 1.275 0.1 8.11 1.983 1.0 7 SSW 4.08 3.95 1.088 0.2 4.94 1.131 0.1 8 WSW 6.26 5.68 1.451 2.9 4.72 1.121 1.7 9 W 10.68 9.54 2.971 28.5 11.28 2.953 25.210 WNW 9.72 8.62 2.447 14.0 10.72 2.556 16.511 NNW 5.59 5.17 1.287 2.3 8.56 1.813 3.9All 9.46 8.40 2.525 100.0 10.17 2.524 100.0

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019Wind data: A - WAsP Gori II; Hub height: 100.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 415,933 North: 4,655,425Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.23 2.33 0.916 0.6 2.87 0.870 0.9 1 NNE 2.49 2.49 0.994 0.1 2.16 0.910 0.2 2 ENE 4.31 4.03 1.240 1.3 3.14 1.040 0.8 3 E 9.26 8.24 2.764 11.9 9.92 2.670 9.3 4 ESE 9.66 8.63 3.080 32.1 10.39 3.040 30.4 5 SSE 8.11 7.19 2.236 6.0 9.63 2.570 10.1 6 S 4.94 4.57 1.291 0.1 8.28 2.000 1.0 7 SSW 4.17 4.02 1.100 0.2 5.05 1.140 0.1 8 WSW 6.39 5.78 1.471 2.9 4.83 1.130 1.7 9 W 10.84 9.68 3.006 28.4 11.47 2.980 25.210 WNW 9.87 8.76 2.479 14.0 10.90 2.580 16.511 NNW 5.70 5.26 1.299 2.3 8.72 1.830 3.9All 9.61 8.54 2.553 100.0 10.36 2.545 100.0

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019Wind data: A - WAsP Gori II; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 420,904 North: 4,653,454Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.25 2.36 0.908 0.6 2.80 0.865 0.9 1 NNE 2.47 2.50 0.967 0.1 2.11 0.904 0.2 2 ENE 4.45 4.17 1.217 1.3 3.07 1.031 0.8 3 E 9.60 8.55 2.744 12.6 9.73 2.648 9.3 4 ESE 9.73 8.69 3.037 31.3 10.19 3.016 30.4 5 SSE 8.03 7.11 2.197 5.8 9.44 2.549 10.1 6 S 5.16 4.76 1.314 0.1 8.11 1.983 1.0 7 SSW 4.11 3.99 1.080 0.2 4.94 1.131 0.1 8 WSW 6.94 6.25 1.521 3.1 4.72 1.121 1.7 9 W 11.29 10.08 2.963 28.6 11.28 2.953 25.210 WNW 10.25 9.09 2.447 13.9 10.72 2.556 16.511 NNW 5.86 5.40 1.307 2.3 8.56 1.813 3.9All 9.88 8.77 2.510 100.0 10.17 2.524 100.0

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PARK - Park power curveCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 0 0 0 0 0 0 0 0 0 0 0 0 0 03.5 188 151 121 108 154 154 148 134 120 108 152 153 166 1334.5 823 712 624 547 730 721 704 644 628 548 725 722 746 6425.5 1,780 1,601 1,465 1,299 1,634 1,618 1,583 1,490 1,472 1,295 1,626 1,621 1,653 1,4876.5 3,112 2,827 2,624 2,373 2,880 2,856 2,796 2,657 2,630 2,371 2,869 2,861 2,912 2,6527.5 4,945 4,527 4,225 3,856 4,605 4,569 4,474 4,281 4,233 3,862 4,591 4,580 4,655 4,2758.5 7,262 6,732 6,344 5,820 6,840 6,789 6,650 6,429 6,358 5,830 6,823 6,811 6,896 6,4219.5 9,708 9,192 8,805 8,153 9,309 9,252 9,101 8,892 8,816 8,163 9,295 9,282 9,345 8,887

10.5 11,718 11,371 11,092 10,477 11,453 11,418 11,311 11,156 11,093 10,485 11,446 11,439 11,465 11,15411.5 12,915 12,757 12,627 12,258 12,794 12,780 12,729 12,659 12,622 12,272 12,792 12,789 12,799 12,65812.5 13,357 13,317 13,283 13,167 13,326 13,322 13,311 13,290 13,280 13,173 13,326 13,325 13,327 13,29013.5 13,486 13,479 13,474 13,452 13,481 13,480 13,478 13,474 13,473 13,453 13,481 13,480 13,481 13,47414.5 13,500 13,500 13,500 13,498 13,500 13,500 13,500 13,500 13,500 13,499 13,500 13,500 13,500 13,50015.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50016.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50017.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50018.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50019.5 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,500 13,50020.5 0 0 0 0 0 0 0 0 0 0 0 0 0 021.5 0 0 0 0 0 0 0 0 0 0 0 0 0 022.5 0 0 0 0 0 0 0 0 0 0 0 0 0 023.5 0 0 0 0 0 0 0 0 0 0 0 0 0 024.5 0 0 0 0 0 0 0 0 0 0 0 0 0 025.5 0 0 0 0 0 0 0 0 0 0 0 0 0 026.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses,but do NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that thesame wind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park powercurve is not to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few directionsectors should be tested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed

(and direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind

distribution for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTGposition. These are found at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind

farm. The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARKpower curve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions inmeasured wind speed.

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PARK - WTG distancesCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019

Scale 1:100,000New WTG Existing WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 840.0 2 815.6 330 4.02 815.6 1 840.0 330 4.03 795.9 2 815.6 344 4.24 783.2 3 795.9 379 4.65 777.5 7 765.8 228 2.86 756.2 7 765.8 287 3.57 765.8 5 777.5 228 2.88 751.8 9 749.6 322 3.99 749.6 8 751.8 322 3.9

10 864.2 15 850.8 286 2.411 819.2 12 822.3 358 3.112 822.3 11 819.2 358 3.113 830.9 14 835.0 455 3.914 835.0 15 850.8 374 3.215 850.8 10 864.2 286 2.4

Min 749.6 749.6 228 2.4Max 864.2 864.2 455 4.6

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PARK - Wind statistics infoCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen.Likewise WAsP CFD should always use WAsP CFD calculated wind statistics.

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PARK - RIX calculationCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019Assumptions

Radius for calculation 3,500 mSteepness threshold 30.0 % / 17 °Directional weight Equally distributedRIX for wind statistic Calculated on windstatistic position. If not available Site data position is usedHeight contours used HCLAlfa 1.0No RIX correction for delta RIX in interval -5.0 % - 5.0 %

Reference sitesTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Site Data/Wind statistics Reference site RIX[%]

A 420,904 4,653,454 Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)) 1.8

WTG sitesUTM (north)-WGS84 Zone: 38

Links Easting Northing Z Reference site RIX WTG RIX Delta RIX (WTG site - Reference site) RIX correction[m] [%] [%] [%] [MWh/y]

1 A 416,369 4,656,160 840.0 1.8 0.0 -1.8 0.002 A 416,538 4,655,876 815.6 1.8 0.0 -1.8 0.003 A 416,458 4,655,542 795.9 1.8 0.0 -1.8 0.004 A 416,316 4,655,191 783.2 1.8 0.0 -1.8 0.005 A 416,206 4,654,821 777.5 1.8 0.0 -1.8 0.006 A 416,323 4,654,450 756.2 1.8 0.0 -1.8 0.007 A 416,095 4,654,622 765.8 1.8 0.0 -1.8 0.008 A 415,663 4,654,651 751.8 1.8 0.0 -1.8 0.009 A 415,800 4,654,359 749.6 1.8 0.0 -1.8 0.00

10 A 421,119 4,653,602 864.2 1.8 2.1 0.3 0.0011 A 421,280 4,651,670 819.2 1.8 1.4 -0.4 0.0012 A 421,419 4,652,000 822.3 1.8 1.3 -0.5 0.0013 A 421,118 4,652,595 830.9 1.8 1.1 -0.7 0.0014 A 420,938 4,653,012 835.0 1.8 1.3 -0.5 0.0015 A 421,153 4,653,318 850.8 1.8 1.6 -0.2 0.00

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PARK - RIX calculationCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019

Latest research /Risø/ show that the threshold in RIX calculation typically work best with 40% (new default), and that delta Rixwithin +/- 5% should not give corrections. Cross predictions based on more mast can fine tune the threshold, see Cross predictortool in windPRO Meteo Analyzer. In windPRO LOSS&&UNCERTAINTY module, RIX correction can be calculated automatically as abias based on most recent recommended correction formulas, which can be found in EWEC2006 && 08 papers on Rix from Risø,see extract below:

The main conclusion based on use of the RIX method is that if both reference site (measurement mast) and predicted site (WTG)are equally rugged (Delta RIX < 5%), very small calculation errors are expected.If reference site (measurement mast) is very rugged, e.g. RIX = 0.2 and predicted site (WTG) are less rugged (e.g. RIX = 0),Delta RIX will be -0.2 and according to the graph, 30% too low wind speed prediction at WTG site could be expected. This couldlead to around 60%*) too low calculated energy production.If the reference site is less rugged, e.g. RIX = 0, and the predicted site (WTG) are very rugged (e.g. RIX = 0.2), Delta RIX will be+0.2, and according to the graph, 30% too high wind speed prediction at WTG site could be expected. This could lead to around60%*) too high calculated energy production.*) Doubling of energy prediction error based on mean wind speed error is a rough conversion, which holds for wind speedsaround 8 m/s. At 6-7 m/s tripling is more right, while only 1.5 factors should be used for 9 m/s, see graph below based on atypical WTG.

Source: EWEC06 paper:IMPROVING WAsP PREDICTIONS IN (TOO) COMPLEX TERRAINNiels G. Mortensen, Anthony J. Bowen and Ioannis AntoniouWind Energy Department, Risø National Laboratory

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PARK - MapCalculation: Park Gori II - SH 9wtg's GE1.5xle Hub=100m 17.07.2019

0 500 1000 1500 2000 mMap: BigGameHunter , Print scale 1:40,000, Map center UTM (north)-WGS84 Zone: 38 East: 418,541 North: 4,653,915

New WTG Existing WTG

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ANNEX 4

QARTLI1 REFERENCE CALCULATED ANNUAL ENERGY ANALYSIS

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Annex 4

Qartli 1 Wind Farm

Reference

Calculated Annual Energy and Wind Turbine Generator Siting

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PARK - Main ResultCalculation: Park Gori I 6wtg's V117-3.45 Hub=91.5m 12.07.2019Wake Model N.O. Jensen (RISØ/EMD)

Calculation performed in UTM (north)-WGS84 Zone: 38At the site centre the difference between grid north and true north is: -0.7°

Power curve correction methodNew windPRO method (adjusted IEC method, improved to match turbine control) <RECOMMENDED>Air density calculation methodHeight dependent, temperature from climate station Station: PASANAURI Base temperature: 9.0 °C at 1310.0 m Base pressure: 1013.3 hPa at 0.0 m Air density for Site center in key hub height: 730.0 m + 91.0 m = 1.122 kg/m³ -> 91.6 % of Std Relative humidity: 0.0 %

Wake Model ParametersTerrain type Wake decay constantDTU default onshore 0.075

Omnidirectional displacement height from objects

Wake calculation settingsAngle [°] Wind speed [m/s]start end step start end step0.5 360.0 1.0 0.5 30.5 1.0

Wind statistics GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100 Scale 1:40,000New WTG Site Data

Key results for height 91.0 m above ground levelTerrain UTM (north)-WGS84 Zone: 38

Easting Northing Name of wind Type Wind energy Mean wind speed Equivalent distribution roughness

[kWh/m²] [m/s]A 420,904 4,653,454 WAsP Gori I WAsP (WAsP 10.2 RVEA0164.dll 3.0.1.100) 5,133 8.8 1.4

Calculated Annual Energy for Wind FarmSpecific results¤)

WTG combination Result GROSS (no loss) Wake loss Capacity Mean WTG Full load Mean wind speedPARK Free WTGs factor result hours @hub height

[MWh/y] [MWh/y] [%] [%] [MWh/y] [Hours/year] [m/s]Wind farm 98,795.5 99,245.5 0.5 54.4 16,465.9 4,773 9.0¤) Based on wake reduced results, but no other losses included

Calculated Annual Energy for each of 6 new WTGs with total 20.7 MW rated powerWTG type Power curve Annual Energy

Links Valid Manufact. Type-generator Power, Rotor Hub Creator Name Result Wake Free rated diameter height loss mean

wind speed

[kW] [m] [m] [MWh/y] [%] [m/s]1 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,887.8 0.5 9.162 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 15,756.9 0.1 8.683 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,157.4 0.2 8.864 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,495.5 0.7 9.045 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 16,396.5 1.0 8.996 A Yes VESTAS V117-3.45-3,450 3,450 117.0 91.5 EMD Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 17,101.4 0.2 9.22

Annual Energy results do not include any losses apart from wake losses. Additional losses and uncertainty must be considered for an investmentdecision.

WTG sitingUTM (north)-WGS84 Zone: 38Easting Northing Z Row data/Description

[m]1 New 421,119 4,653,602 864.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (1)2 New 421,280 4,651,670 819.2 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (2)3 New 421,419 4,652,000 822.3 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (3)4 New 421,118 4,652,595 830.9 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (4)5 New 420,938 4,653,012 835.0 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (5)6 New 421,153 4,653,318 850.8 VESTAS V117-3.45 3450 117.0 !O! hub: 91.5 m (TOT: 150.0 m) (6)

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PARK - Production AnalysisCalculation: Park Gori I 6wtg's V117-3.45 Hub=91.5m 12.07.2019WTG: All new WTGs, Air density varies with WTG position 1.108 kg/m³ - 1.113 kg/m³Directional AnalysisSector 0 N 1 NNE 2 ENE 3 E 4 ESE 5 SSE 6 S 7 SSW 8 WSW 9 W 10 WNW 11 NNW TotalRoughness based energy [MWh] 41.5 12.3 275.4 9,755.1 23,431.9 2,991.1 27.4 37.0 1,394.9 27,396.4 10,983.1 743.0 77,089.1+Increase due to hills [MWh] 20.3 2.5 282.0 3,780.8 6,429.0 532.1 55.1 12.1 889.4 7,721.2 2,324.0 108.0 22,156.4-Decrease due to wake losses [MWh] 10.8 1.9 3.5 0.0 0.0 332.0 9.5 5.6 11.6 0.0 0.0 75.1 449.9Resulting energy [MWh] 51.0 12.9 553.8 13,535.9 29,860.9 3,191.1 73.1 43.5 2,272.7 35,117.6 13,307.1 775.8 98,795.5Specific energy [kWh/m²] 1,532Specific energy [kWh/kW] 4,773Increase due to hills [%] 48.9 20.0 102.4 38.8 27.4 17.8 201.0 32.7 63.8 28.2 21.2 14.5 28.74Decrease due to wake losses [%] 17.5 13.0 0.6 0.0 0.0 9.4 11.5 11.4 0.5 0.0 0.0 8.8 0.45Utilization [%] 24.2 27.5 27.6 29.9 32.2 30.4 27.7 22.7 24.4 24.3 25.5 23.1 27.4Operational [Hours/year] 50 13 130 1,183 2,598 470 15 16 306 2,498 1,146 183 8,608Full Load Equivalent [Hours/year] 2 1 27 654 1,443 154 4 2 110 1,697 643 37 4,773

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PARK - Power Curve AnalysisCalculation: Park Gori I 6wtg's V117-3.45 Hub=91.5m 12.07.2019WTG: 1 - VESTAS V117-3.45 3450 117.0 !O!, Hub height: 91.5 mName: Level 0 - Calculated - Modes 0 & 0-0S - 01-2016Source: Manufacturer

Source/Date Created by Created Edited Stop wind speed Power control CT curve type Generator type Specific power[m/s] kW/m²

29/01/2016 EMD 02/05/2016 02/05/2016 25.0 Pitch User defined Variable 0.32Document no.: DMS 0053-3711.03.IEC IB; IIA.

HP curve comparison - Note: For standard air density

Vmean [m/s] 5 6 7 8 9 10HP value Pitch, variable speed (2013) [MWh] 5,502 8,447 11,327 13,919 16,122 17,896VESTAS V117-3.45 3450 117.0 !O! Level 0 - Calculated - Modes 0 & 0-0S - 01-2016 [MWh] 5,500 8,498 11,431 14,054 16,264 18,019Check value [%] 0 -1 -1 -1 -1 -1The table shows comparison between annual energy production calculated on basis of simplified "HP-curves" which assume that all WTGs performs quite similar - only specific power loading(kW/m^2) and single/dual speed or stall/pitch decides the calculated values. Productions are without wake losses.For further details, ask at the Danish Energy Agency for project report J.nr. 51171/00-0016 or see windPRO manual chapter 3.5.2.The method is refined in EMD report "20 Detailed Case Studies comparing Project Design Calculations and actual Energy Productions for Wind Energy Projects worldwide", jan 2003.Use the table to evaluate if the given power curve is reasonable - if the check value are lower than -5%, the power curve probably is too optimistic due to uncertainty in power curvemeasurement.

Power curveOriginal data, Air density: 1.225 kg/m³Wind speed Power Cp Wind speed Ct curve

[m/s] [kW] [m/s]3.0 22.0 0.12 3.0 0.873.5 78.0 0.28 3.5 0.854.0 150.0 0.36 4.0 0.834.5 237.0 0.39 4.5 0.835.0 340.0 0.41 5.0 0.835.5 466.0 0.43 5.5 0.826.0 617.0 0.43 6.0 0.826.5 796.0 0.44 6.5 0.827.0 1,006.0 0.45 7.0 0.817.5 1,247.0 0.45 7.5 0.808.0 1,522.0 0.45 8.0 0.798.5 1,831.0 0.45 8.5 0.799.0 2,178.0 0.45 9.0 0.799.5 2,544.0 0.45 9.5 0.7710.0 2,905.0 0.44 10.0 0.7310.5 3,201.0 0.42 10.5 0.6711.0 3,374.0 0.38 11.0 0.5811.5 3,435.0 0.34 11.5 0.4912.0 3,448.0 0.30 12.0 0.4212.5 3,450.0 0.27 12.5 0.3613.0 3,450.0 0.24 13.0 0.3213.5 3,450.0 0.21 13.5 0.2814.0 3,450.0 0.19 14.0 0.2514.5 3,450.0 0.17 14.5 0.2215.0 3,450.0 0.16 15.0 0.2015.5 3,450.0 0.14 15.5 0.1816.0 3,450.0 0.13 16.0 0.1616.5 3,450.0 0.12 16.5 0.1517.0 3,450.0 0.11 17.0 0.1417.5 3,450.0 0.10 17.5 0.1318.0 3,450.0 0.09 18.0 0.1218.5 3,450.0 0.08 18.5 0.1119.0 3,450.0 0.08 19.0 0.1019.5 3,450.0 0.07 19.5 0.0920.0 3,450.0 0.07 20.0 0.0920.5 3,450.0 0.06 20.5 0.0821.0 3,450.0 0.06 21.0 0.0721.5 3,450.0 0.05 21.5 0.0722.0 3,450.0 0.05 22.0 0.0722.5 3,450.0 0.05 22.5 0.0623.0 3,450.0 0.04 23.0 0.0623.5 3,450.0 0.04 23.5 0.0524.0 3,450.0 0.04 24.0 0.0524.5 3,450.0 0.04 24.5 0.0525.0 3,450.0 0.03 25.0 0.05

Power, Efficiency and energy vs. wind speedData used in calculation, Air density: 1.108 kg/m³ New windPRO method(adjusted IEC method, improved to match turbine control) <RECOMMENDED>Wind speed Power Cp Interval Energy Acc.Energy Relative

[m/s] [kW] [m/s] [MWh] [MWh] [%]1.0 0.0 0.00 0.50- 1.50 0.0 0.0 0.02.0 0.0 0.00 1.50- 2.50 0.0 0.0 0.03.0 10.5 0.07 2.50- 3.50 11.5 11.5 0.14.0 130.4 0.34 3.50- 4.50 62.3 73.8 0.45.0 304.9 0.41 4.50- 5.50 178.9 252.7 1.56.0 555.2 0.43 5.50- 6.50 388.1 640.8 3.87.0 905.7 0.44 6.50- 7.50 716.0 1,356.9 8.08.0 1,371.2 0.45 7.50- 8.50 1,160.5 2,517.4 14.99.0 1,951.3 0.45 8.50- 9.50 1,673.9 4,191.3 24.810.0 2,609.7 0.44 9.50-10.50 2,138.2 6,329.5 37.511.0 3,186.2 0.40 10.50-11.50 2,350.1 8,679.5 51.412.0 3,415.0 0.33 11.50-12.50 2,196.4 10,875.9 64.413.0 3,448.9 0.26 12.50-13.50 1,816.1 12,692.0 75.214.0 3,450.0 0.21 13.50-14.50 1,395.6 14,087.7 83.415.0 3,450.0 0.17 14.50-15.50 1,012.4 15,100.1 89.416.0 3,450.0 0.14 15.50-16.50 695.3 15,795.4 93.517.0 3,450.0 0.12 16.50-17.50 453.1 16,248.6 96.218.0 3,450.0 0.10 17.50-18.50 280.8 16,529.4 97.919.0 3,450.0 0.08 18.50-19.50 165.9 16,695.2 98.920.0 3,450.0 0.07 19.50-20.50 93.6 16,788.8 99.421.0 3,450.0 0.06 20.50-21.50 50.6 16,839.4 99.722.0 3,450.0 0.05 21.50-22.50 26.3 16,865.7 99.923.0 3,450.0 0.05 22.50-23.50 13.3 16,879.0 99.924.0 3,450.0 0.04 23.50-24.50 6.6 16,885.6 100.025.0 3,450.0 0.04 24.50-25.50 2.2 16,887.8 100.0

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Project:

Gori II

PARK - TerrainCalculation: Park Gori I 6wtg's V117-3.45 Hub=91.5m 12.07.2019Site Data: A - WAsP Gori I

Obstacles:

0 Obstacles used

Roughness:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\ROUGHNESSLINE_ONLINEDATA_1.wpoMin X: 398,219, Max X: 428,401, Min Y: 4,642,241, Max Y: 4,671,415, Width: 30,182 m, Height: 29,175 m

Orography:

Terrain data files used in calculation:E:\work\WindPRO Data\Projects\Gori II\CONTOURLINE_ONLINEDATA_0.wpoMin X: 402,913, Max X: 423,154, Min Y: 4,646,647, Max Y: 4,666,294, Width: 20,242 m, Height: 19,648 m

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori I 6wtg's V117-3.45 Hub=91.5m 12.07.2019Wind data: A - WAsP Gori I; Hub height: 91.5Site coordinatesUTM (north)-WGS84 Zone: 38East: 420,904 North: 4,653,454Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.25 2.36 0.908 0.6 2.80 0.865 0.9 1 NNE 2.47 2.50 0.967 0.1 2.11 0.904 0.2 2 ENE 4.45 4.17 1.217 1.3 3.07 1.031 0.8 3 E 9.60 8.55 2.744 12.6 9.73 2.648 9.3 4 ESE 9.73 8.69 3.037 31.3 10.19 3.016 30.4 5 SSE 8.03 7.11 2.197 5.8 9.44 2.549 10.1 6 S 5.16 4.76 1.314 0.1 8.11 1.983 1.0 7 SSW 4.11 3.99 1.080 0.2 4.94 1.131 0.1 8 WSW 6.94 6.25 1.521 3.1 4.72 1.121 1.7 9 W 11.29 10.08 2.963 28.6 11.28 2.953 25.210 WNW 10.25 9.09 2.447 13.9 10.72 2.556 16.511 NNW 5.86 5.40 1.307 2.3 8.56 1.813 3.9All 9.88 8.77 2.510 100.0 10.17 2.524 100.0

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Project:

Gori II

PARK - Wind Data AnalysisCalculation: Park Gori I 6wtg's V117-3.45 Hub=91.5m 12.07.2019Wind data: A - WAsP Gori I; Hub height: 91.0Site coordinatesUTM (north)-WGS84 Zone: 38East: 420,904 North: 4,653,454Wind statisticsGE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wws

Weibull DataCurrent site Reference: Roughness class 1

Sector A- Wind k- Frequency A- k- Frequencyparameter speed parameter parameter parameter

[m/s] [m/s] [%] [m/s] [%] 0 N 2.25 2.36 0.908 0.6 2.80 0.865 0.9 1 NNE 2.46 2.50 0.967 0.1 2.11 0.903 0.2 2 ENE 4.45 4.17 1.217 1.3 3.06 1.030 0.8 3 E 9.59 8.54 2.740 12.6 9.71 2.647 9.3 4 ESE 9.72 8.68 3.033 31.3 10.18 3.014 30.4 5 SSE 8.02 7.11 2.197 5.8 9.43 2.548 10.1 6 S 5.15 4.75 1.314 0.1 8.10 1.982 1.0 7 SSW 4.10 3.98 1.080 0.2 4.94 1.130 0.1 8 WSW 6.93 6.24 1.521 3.1 4.72 1.120 1.7 9 W 11.28 10.07 2.963 28.6 11.27 2.951 25.210 WNW 10.24 9.08 2.447 13.9 10.71 2.554 16.511 NNW 5.85 5.40 1.307 2.3 8.55 1.812 3.9All 9.87 8.76 2.510 100.0 10.16 2.522 100.0

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Project:

Gori II

PARK - Park power curveCalculation: Park Gori I 6wtg's V117-3.45 Hub=91.5m 12.07.2019

PowerWind Free Park N NNE ENE E ESE SSE S SSW WSW W WNW NNWspeed WTGs WTGs[m/s] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW] [kW]

0.5 0 0 0 0 0 0 0 0 0 0 0 0 0 01.5 0 0 0 0 0 0 0 0 0 0 0 0 0 02.5 0 0 0 0 0 0 0 0 0 0 0 0 0 03.5 390 379 198 271 378 390 390 273 227 257 378 390 390 2664.5 1,266 1,243 865 990 1,244 1,266 1,266 1,020 907 970 1,244 1,266 1,266 1,0105.5 2,520 2,481 1,847 2,055 2,482 2,520 2,520 2,106 1,916 2,021 2,482 2,520 2,520 2,0906.5 4,312 4,249 3,227 3,567 4,250 4,312 4,312 3,643 3,339 3,511 4,250 4,312 4,312 3,6177.5 6,761 6,666 5,116 5,634 6,668 6,761 6,761 5,746 5,287 5,549 6,668 6,761 6,761 5,7088.5 9,912 9,777 7,589 8,321 9,782 9,912 9,912 8,480 7,832 8,204 9,782 9,912 9,912 8,4249.5 13,706 13,530 10,666 11,618 13,539 13,706 13,706 11,834 10,975 11,471 13,539 13,706 13,706 11,766

10.5 17,601 17,421 14,512 15,536 17,451 17,601 17,601 15,660 14,732 15,411 17,450 17,601 17,601 15,63311.5 20,078 19,977 18,330 18,973 20,016 20,078 20,078 18,967 18,353 18,936 20,016 20,078 20,078 18,98612.5 20,655 20,638 20,370 20,473 20,648 20,655 20,655 20,458 20,275 20,469 20,648 20,655 20,655 20,48913.5 20,700 20,699 20,690 20,693 20,700 20,700 20,700 20,692 20,679 20,693 20,700 20,700 20,700 20,69514.5 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,70015.5 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,70016.5 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,70017.5 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,70018.5 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,70019.5 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,70020.5 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,70021.5 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,70022.5 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,70023.5 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,70024.5 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,700 20,70025.5 0 0 0 0 0 0 0 0 0 0 0 0 0 026.5 0 0 0 0 0 0 0 0 0 0 0 0 0 027.5 0 0 0 0 0 0 0 0 0 0 0 0 0 028.5 0 0 0 0 0 0 0 0 0 0 0 0 0 029.5 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Description:The park power curve is similar to a WTG power curve, meaning that when a given wind speed appears in front of the park with same speed in the entire wind farm area(before influence from the park), the output from the park can be found in the park power curve. Another way to say this: The park power curve includes wake losses,but do NOT include terrain given variations in the wind speed over the park area.Measuring a park power curve is not as simple as measuring a WTG power curve due to the fact that the park power curve depends on the wind direction and that thesame wind speed normally will not appear for the entire park area at the same time (only in very flat non-complex terrain). The idea with this version of the park powercurve is not to use it for validation based on measurements. This would require at least 2 measurement masts at two sides of the park, unless only a few directionsectors should be tested, AND non complex terrain (normally only useable off shore). Another park power curve version for complex terrain is available in windPRO.

The park power curve can be used for:1. Forecast systems, based on more rough (approximated) wind data, the park power curve would be an efficient way to make the connection from wind speed

(and direction) to power.2. Construction of duration curves, telling how often a given power output will appear, the park power curve can be used together with the average wind

distribution for the Wind farm area in hub height. The average wind distribution can eventually be obtained based on the Weibull parameters for each WTGposition. These are found at print menu: >Result to file< in the >Park result< which can be saved to file or copied to clipboard and pasted in Excel.

3. Calculation of wind energy index based on the PARK production (see below).4. Estimation of the expected PARK production for an existing wind farm based on wind measurements at minimum 2 measurement masts at two sides of wind

farm. The masts must be used for obtaining the free wind speed. The free wind speed is used in the simulation of expected energy production with the PARKpower curve. This procedure will only work suitable in non complex terrains. For complex terrain another park power curve calculation is available in windPRO(PPV-model).

Note:From the >Result to file< the >Wind Speeds Inside Wind farm< is also available. These can (e.g. via Excel) be used for extracting the wake induced reductions inmeasured wind speed.

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Project:

Gori II

PARK - WTG distancesCalculation: Park Gori I 6wtg's V117-3.45 Hub=91.5m 12.07.2019

Scale 1:40,000New WTG

WTG distancesZ Nearest WTG Z Horizontal Distance in

distance rotor diameters[m] [m] [m]

1 864.2 6 850.8 286 2.42 819.2 3 822.3 358 3.13 822.3 2 819.2 358 3.14 830.9 5 835.0 455 3.95 835.0 6 850.8 374 3.26 850.8 1 864.2 286 2.4

Min 819.2 819.2 286 2.4Max 864.2 864.2 455 3.9

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Project:

Gori II

PARK - Wind statistics infoCalculation: Park Gori I 6wtg's V117-3.45 Hub=91.5m 12.07.2019Main data for wind statisticFile E:\work\WindPRO Data\Projects\Gori II\GE Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3)).wwsName Mast Gori 80m (Matrix MCP using MERRA_basic_E44.002_N42.000 (3))Country GeorgiaSource USERMast coordinates UTM (north)-WGS84 Zone: 38 East: 420,904 North: 4,653,454Created 12/07/2019Edited 12/07/2019Sectors 12WAsP version WAsP 10.2 RVEA0164.dll 3.0.1.100Displacement height None

CommentsFrom MCP

Additional info for wind statisticBased on measurement height 80.0 mBase elevation for measurement mast 845.6 m

Long term correction informationMethod Matrix MCPSource data MERRA_basic_E44.002_N42.000 (3)Distance to source data 4.8 kmLong term period from 01/01/1989Long term period to 01/03/2016Concurrent period from 07/08/2013Concurrent period to 01/03/2016Concurrent data records 10255Concurrent record interval 60 minutesConcurrent data recovery 67.1 %

Number of years with long term data 27.2 yearsNumber of months with concurrent data 14.0 Months

Correlation test based on Concurrent monthly windindicesPower curve used for index Simple power curve truncated at: 14.0 m/sData availability demand for inclusion of month 60 %Number of months 20r^2 - wind index 0.7892r - wind index 0.8884s - wind index 6.1510

NoteTo get the most correct calculation results, wind statistics shall be calculated with the SAME model and model parameters, as currently chosen incalculation. For WAsP versions before 10.0, the model is unchanged, but thereafter more model changes affecting the wind statistic is seen.Likewise WAsP CFD should always use WAsP CFD calculated wind statistics.

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Project:

Gori II

PARK - MapCalculation: Park Gori I 6wtg's V117-3.45 Hub=91.5m 12.07.2019

0 250 500 750 1000 mMap: BigGameHunter , Print scale 1:12,500, Map center UTM (north)-WGS84 Zone: 38 East: 421,178 North: 4,652,636

New WTG

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ANNEX 5

CAPEX

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Annex 5

Capital Expenditure Calculations

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FX EUR/USD1,12

Wind Farm Configuration MW No. WTG Capex Capex Capex CapexInstalled USD 000s USD 000s/MW EUR 000s EUR 000s/MW

Park Gori II - 2 X GE158-5.3 700 Hub=120.9m 10,6 2 15.350 1.448 13.705 1.293

Park Gori II - 3wtg's N149-4.5 Hub=105m 17.07.2019 13,5 3 19.200 1.422 17.142 1.270

Park Gori II - 3wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019 12,3 3 18.085 1.470 16.148 1.313

Park Gori II - 3wtg's V150-4.2 Hub=105m 17.07.2019 12,6 3 18.364 1.457 16.396 1.301

Park Gori II - 2wtg's E-147 EP5-5MW Hub=126m 17.07.2019 10 2 14.793 1.479 13.208 1.321

Ruisi Wind Farm SH 7wtg's GE1.5xle 10,5 7 10.844 1.033 9.682 922

Other

Capex Summary

10 MW Range

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GeneralElectric2XGE5.310.6MW

Business Plan - Financial ModelWind Farm - Qartli 2 - 2 X GE158-5.3 700 Hub=120.9m FX EUR-USD 1,12General Electric # WTG 2

# MW 10,6

CAPEX CAPEX USD 000s 15.350

WTG Supply and Installation EUR/MW 700.000 CAPEX USD 000s/MW 1.448USD/MW 784.000

*based on recent quotes WTG Supply and Installation USD 000s 8.310 8.310

Foundations USD 000s 896 9.206

Foundations EUR/WTG 400.000 Roads & Platforms USD 000s 560 9.766

USD/WTG 448.000 Electrical - Cabling USD 000s 314 10.080

* an average of recent projects Wind Farm Substation USD 000s 424 10.504

Grid Connection Fee USD 000s 2.627 13.131

Roads & Platforms EUR/WTG 250.000 Development USD 000s 890 14.021

USD/WTG 280.000 Project Design USD 000s 250 14.271

* average of quotes and projects Constr Management USD 000s 750 15.021

2,50% Contingency USD 000s 328 15.350

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool - length indicated by QWF

Development EUR/MW 75.000USD/MW 84.000

* environmental, premium, other...

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Nordex3XN149-4.59MW

Business Plan - Financial ModelWind Farm - Park Gori II 3wtg's N149-4.5 Hub=105m 17.07.2019 FX EUR-USD 1,12Nordex # WTG 3

# MW 13,5

CAPEX CAPEX USD 000s 19.200

WTG Supply and Installation EUR/MW 700.000 CAPEX USD 000s/MW 1.422USD/MW 784.000

*based on recent quotes WTG Supply and Installation USD 000s 10.584 10.584

Foundations USD 000s 1.344 11.928

Foundations EUR/WTG 400.000 Roads & Platforms USD 000s 840 12.768

USD/WTG 448.000 Electrical - Cabling USD 000s 470 13.238

* an average of recent projects Wind Farm Substation USD 000s 540 13.778

Grid Connection Fee USD 000s 2.627 16.405

Roads & Platforms EUR/WTG 250.000 Development USD 000s 1.134 17.539

USD/WTG 280.000 Project Design USD 000s 250 17.789

* average of quotes and projects Constr Management USD 000s 1.000 18.789

2,50% Contingency USD 000s 410 19.200

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool - length indicated by QWF

Development EUR/MW 75.000USD/MW 84.000

* environmental, premium, other...

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Siemens3XSWT142-4.1-8.2MW

Business Plan - Financial ModelWind Farm - Park Gori II 3wtg's SWT-DD-142-4.1 Hub=109m 12.07.2019 FX EUR-USD 1,12Siemens Gamesa # WTG 3

# MW 12,3

CAPEX CAPEX USD 000s 18.085

WTG Supply and Installation EUR/MW 700.000 CAPEX USD 000s/MW 1.470USD/MW 784.000

*based on recent quotes WTG Supply and Installation USD 000s 9.643 9.643

Foundations USD 000s 1.344 10.987

Foundations EUR/WTG 400.000 Roads & Platforms USD 000s 840 11.827

USD/WTG 448.000 Electrical - Cabling USD 000s 470 12.298

* an average of recent projects Wind Farm Substation USD 000s 492 12.790

Grid Connection Fee USD 000s 2.627 15.417

Roads & Platforms EUR/WTG 250.000 Development USD 000s 1.033 16.450

USD/WTG 280.000 Project Design USD 000s 250 16.700

* average of quotes and projects Constr Management USD 000s 1.000 17.700

2,50% Contingency USD 000s 385 18.085

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool - length indicated by QWF

Development EUR/MW 75.000USD/MW 84.000

* environmental, premium, other...

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Vestas3XV150-4.1-8.4MW

Business Plan - Financial ModelWind Farm - Park Gori II 3wtg's V150-4.2 Hub=105m 17.07.2019 FX EUR-USD 1,12Vestas # WTG 3

# MW 12,6

CAPEX CAPEX USD 000s 18.364

WTG Supply and Installation EUR/MW 700.000 CAPEX USD 000s/MW 1.457USD/MW 784.000

*based on recent quotes WTG Supply and Installation USD 000s 9.878 9.878

Foundations USD 000s 1.344 11.222

Foundations EUR/WTG 400.000 Roads & Platforms USD 000s 840 12.062

USD/WTG 448.000 Electrical - Cabling USD 000s 470 12.533

* an average of recent projects Wind Farm Substation USD 000s 504 13.037

Grid Connection Fee USD 000s 2.627 15.664

Roads & Platforms EUR/WTG 250.000 Development USD 000s 1.058 16.722

USD/WTG 280.000 Project Design USD 000s 250 16.972

* average of quotes and projects Constr Management USD 000s 1.000 17.972

2,50% Contingency USD 000s 392 18.364

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool - length indicated by QWF

Development EUR/MW 75.000USD/MW 84.000

* environmental, premium, other...

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Enercon2XE147-5MW-10MW

Business Plan - Financial ModelWind Farm - Park Gori II 2wtg's E-147 EP5-5MW Hub=126m 17.07.2019 FX EUR-USD 1,12Enercon # WTG 2

# MW 10

CAPEX CAPEX USD 000s 14.793

WTG Supply and Installation EUR/MW 700.000 CAPEX USD 000s/MW 1.479USD/MW 784.000

*based on recent quotes WTG Supply and Installation USD 000s 7.840 7.840

Foundations USD 000s 896 8.736

Foundations EUR/WTG 400.000 Roads & Platforms USD 000s 560 9.296

USD/WTG 448.000 Electrical - Cabling USD 000s 314 9.610

Wind Farm Substation USD 000s 400 10.010

* an average of recent projects Grid Connection Fee USD 000s 2.627 12.637

Development USD 000s 840 13.477

Roads & Platforms EUR/WTG 250.000 Project Design USD 000s 250 13.727

USD/WTG 280.000 Constr Management USD 000s 750 14.477

* average of quotes and projects 2,50% Contingency USD 000s 316 14.793

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool - length indicated by QWF

Development EUR/MW 75.000USD/MW 84.000

* environmental, premium, other...

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7XGE1.5XLE10.5MW2ndhand

Business Plan - Financial ModelWind Farm - Ruisi Wind Farm SH 7wtg's GE1.5xle FX EUR-USD 1,12General Electric - Used machinery (GE 1.5 20-years old) # WTG 7

# MW 10,5

CAPEX CAPEX USD 000s 10.844

WTG Supply and Installation EUR/MW 115.000 CAPEX USD 000s/MW 1.033USD/MW 128.800

*based on recent quotes (sale, decommissioning, supply and installation) WTG Supply and Installation USD 000s 1.352 1.352

Foundations USD 000s 1.372 2.724

Foundations EUR/WTG 175.000 Roads & Platforms USD 000s 1.960 4.684

USD/WTG 196.000 Electrical - Cabling USD 000s 1.098 5.782

* an average of recent projects Wind Farm Substation USD 000s 420 6.202

Grid Connection Fee USD 000s 2.627 8.829

Roads & Platforms EUR/WTG 250.000 Development USD 000s 294 9.123

USD/WTG 280.000 Project Design USD 000s 250 9.373

* average of quotes and projects Constr Management USD 000s 1.250 10.623

2,50% Contingency USD 000s 221 10.844

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool

Development EUR/MW 25.000USD/MW 28.000

* environmental, premium, other...

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FX EUR/USD1,12

Wind Farm Configuration MW No. WTG Capex Capex Capex Capex

Installed USD 000s USD 000s/MW EUR 000s EUR 000s/MW

4 wtg GE158-5.3 700 Hub=120.9m 21,2 4 27.007 1.274 24.113 1.137

5 wtg N149-4.5 Hub=105m 22,5 5 29.121 1.294 26.001 1.156

5 wtg's SWT-DD-142-4.1 Hub=109m 20,5 5 27.514 1.342 24.566 1.198

5 wtg's V150-4.2 Hub=105m 21 5 27.728 1.320 24.757 1.179

4 wtg's E-147 EP5-5MW Hub=126m 20 4 26.142 1.307 23.341 1.167

Ruisi Wind Farm SH 9wtg's GE1.5xle 13,5 9 12.494 925 11.155 826

Other

Capex Summary20 MW Range

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Business Plan - Financial ModelWind Farm - 4 X GE158-5.3 700 Hub=120.9m FX EUR-USD 1,12General Electric # WTG 4

# MW 21,2

CAPEX CAPEX USD 000s 27.007

WTG Supply and Installation EUR/MW 700.000 CAPEX USD 000s/MW 1.274USD/MW 784.000

*based on recent quotes WTG Supply and Installation USD 000s 16.621 16.621

Foundations USD 000s 1.792 18.413

Foundations EUR/WTG 400.000 Roads & Platforms USD 000s 1.120 19.533

USD/WTG 448.000 Electrical - Cabling USD 000s 627 20.160

* an average of recent projects Wind Farm Substation USD 000s 848 21.008

Grid Connection Fee USD 000s 2.627 23.635

Roads & Platforms EUR/WTG 250.000 Development USD 000s 1.781 25.416

USD/WTG 280.000 Project Design USD 000s 250 25.666

* average of quotes and projects Constr Management USD 000s 750 26.416

2,50% Contingency USD 000s 591 27.007

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool - length indicated by QWF

Development EUR/MW 75.000USD/MW 84.000

* environmental, premium, other...

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Business Plan - Financial ModelWind Farm - Park Gori II 4wtg's N149-4.5 Hub=105m FX EUR-USD 1,12Nordex # WTG 5

# MW 22,5

CAPEX CAPEX USD 000s 29.121

WTG Supply and Installation EUR/MW 700.000 CAPEX USD 000s/MW 1.294USD/MW 784.000

*based on recent quotes WTG Supply and Installation USD 000s 17.640 17.640

Foundations USD 000s 2.240 19.880

Foundations EUR/WTG 400.000 Roads & Platforms USD 000s 1.400 21.280

USD/WTG 448.000 Electrical - Cabling USD 000s 784 22.064

* an average of recent projects Wind Farm Substation USD 000s 900 22.964

Grid Connection Fee USD 000s 2.627 25.591

Roads & Platforms EUR/WTG 250.000 Development USD 000s 1.890 27.481

USD/WTG 280.000 Project Design USD 000s 250 27.731

* average of quotes and projects Constr Management USD 000s 750 28.481

2,50% Contingency USD 000s 640 29.121

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool - length indicated by QWF

Development EUR/MW 75.000USD/MW 84.000

* environmental, premium, other...

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Business Plan - Financial ModelWind Farm - Park Gori II 5wtg's SWT-DD-142-4.1 Hub=109m FX EUR-USD 1,12Siemens Gamesa # WTG 5

# MW 20,5

CAPEX CAPEX USD 000s 27.514

WTG Supply and Installation EUR/MW 700.000 CAPEX USD 000s/MW 1.342USD/MW 784.000

*based on recent quotes WTG Supply and InstallationUSD 000s 16.072 16.072

Foundations USD 000s 2.240 18.312

Foundations EUR/WTG 400.000 Roads & Platforms USD 000s 1.400 19.712

USD/WTG 448.000 Electrical - Cabling USD 000s 784 20.496

* an average of recent projects Wind Farm Substation USD 000s 820 21.316

Grid Connection Fee USD 000s 2.627 23.943

Roads & Platforms EUR/WTG 250.000 Development USD 000s 1.722 25.665

USD/WTG 280.000 Project Design USD 000s 250 25.915

* average of quotes and projects Constr Management USD 000s 1.000 26.915

2,50% Contingency USD 000s 599 27.514

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool - length indicated by QWF

Development EUR/MW 75.000USD/MW 84.000

* environmental, premium, other...

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Business Plan - Financial ModelWind Farm - Park Gori II 5wtg's V150-4.2 Hub=105m FX EUR-USD 1,12Vestas # WTG 5

# MW 21

CAPEX CAPEX USD 000s 27.728

WTG Supply and Installation EUR/MW 700.000 CAPEX USD 000s/MW 1.320USD/MW 784.000

*based on recent quotes WTG Supply and Installation USD 000s 16.464 16.464

Foundations USD 000s 2.240 18.704

Foundations EUR/WTG 400.000 Roads & Platforms USD 000s 1.400 20.104

USD/WTG 448.000 Electrical - Cabling USD 000s 784 20.888

* an average of recent projects Wind Farm Substation USD 000s 840 21.728

Grid Connection Fee USD 000s 2.627 24.355

Roads & Platforms EUR/WTG 250.000 Development USD 000s 1.764 26.119

USD/WTG 280.000 Project Design USD 000s 250 26.369

* average of quotes and projects Constr Management USD 000s 750 27.119

2,50% Contingency USD 000s 609 27.728

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool - length indicated by QWF

Development EUR/MW 75.000USD/MW 84.000

* environmental, premium, other...

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Business Plan - Financial ModelWind Farm - Park Gori II 4wtg's E-147 EP5-5MW Hub=126m FX EUR-USD 1,12Enercon # WTG 4

# MW 20

CAPEX CAPEX USD 000s 26.142

WTG Supply and Installation EUR/MW 700.000 CAPEX USD 000s/MW 1.307USD/MW 784.000

*based on recent quotes WTG Supply and Installation USD 000s 15.680 15.680

Foundations USD 000s 1.792 17.472

Foundations EUR/WTG 400.000 Roads & Platforms USD 000s 1.120 18.592

USD/WTG 448.000 Electrical - Cabling USD 000s 627 19.219

Wind Farm Substation USD 000s 800 20.019

* an average of recent projects Grid Connection Fee USD 000s 2.627 22.646

Development USD 000s 1.680 24.326

Roads & Platforms EUR/WTG 250.000 Project Design USD 000s 250 24.576

USD/WTG 280.000 Constr Management USD 000s 1.000 25.576

* average of quotes and projects 2,50% Contingency USD 000s 566 26.142

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool - length indicated by QWF

Development EUR/MW 75.000USD/MW 84.000

* environmental, premium, other...

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Business Plan - Financial ModelWind Farm - Ruisi Wind Farm SH 9wtg's GE1.5xle FX EUR-USD 1,12General Electric - Used machinery (GE 1.5 20-years old) # WTG 9

# MW 13,5

CAPEX CAPEX USD 000s 12.494

WTG Supply and Installation EUR/MW 115.000 CAPEX USD 000s/MW 925USD/MW 128.800

*based on recent quotes (sale, decommissioning, supply and installation) WTG Supply and Installation USD 000s 1.739 1.739

Foundations USD 000s 1.764 3.503

Foundations EUR/WTG 175.000 Roads & Platforms USD 000s 2.520 6.023

USD/WTG 196.000 Electrical - Cabling USD 000s 1.411 7.434

* an average of recent projects Wind Farm Substation USD 000s 540 7.974

Grid Connection Fee USD 000s 2.627 10.601

Roads & Platforms EUR/WTG 250.000 Development USD 000s 378 10.979

USD/WTG 280.000 Project Design USD 000s 250 11.229

* average of quotes and projects Constr Management USD 000s 1.000 12.229

2,50% Contingency USD 000s 265 12.494

Electrical - Cabling EUR/WTG 140.000USD/WTG 156.800

* based on recent quotes

Wind Farm Substation EUR/MW 40.000USD/MW 44.800

* based on recent quotes

Grid Connection Fee EURUSD 2.627.055

* based on 16km single circuit OHL 220kV GSE (www.gse.com.ge) calc tool

Development EUR/MW 25.000USD/MW 28.000

* environmental, premium, other...

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ANNEX 6

OPEX

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Annex 6

Operation and Maintenance Expenditure Calculations

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2XGE5.3-10.6MW

Business Plan - Financial ModelWind Farm - Park Gori II - 2 X GE158-5.3 700 Hub=120.9mGeneral Electric

Estimated OPEX Costs in a Feed-in-Tariff Structure (no trading and/or balancing costs) Installed No. Annual AmountCapacity (MW) WTGs USD

10,6 2

OPEX Full Service Agreement (FSA) USD / year / MW 30.000 the median range of responses of recent studies* 318.000 318.000Maintenance of the transformer station and video system USD / year 22.000 recent estimates for a Romanian wind farm 22.000 22.000SCADA preventive maintenance USD / year / wtg 1.300 recent estimates for a Romanian wind farm 2.600 2.600WF internal power consumption USD / year 3.000 recent estimates for a Romanian wind farm 3.000 3.000Land lease expenses for wtg's USD / year / wtg 3.000 subject to location / place-holder 6.000 6.000Wind farm site security USD / year / wtg 5.000 10.000 10.000Wind farm insurance USD / year 10.000 detailed policy to be analyzed 10.000 10.000Noise measurements and air quality analysis should be included in FSA 0Maintenance of the aviation lights should be included in FSA 0Birds monitoring USD / year 3.000 3.000 3.000Different services: trouble shooting, USD / year / wtg 13.000 26.000 26.000elevators, vibration analysis, cranes services

Monitoring and troubleshooting service should be included in FSA 0Measurements, power curves checks - turbines should be included in FSA 0Spare parts, inventories costs USD / year /wtg 16.500 33.000 33.000Accounting and General Management USD / year 150.000 150.000 150.000Local Taxes USD / year subject to location 0Miscellaneous USD / wtg / year 4.000 8.000 8.000

Total Operating Costs USD /year 591.600

* New Energy Update Global Wind O&M Survey 2018

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3XN149-4.5-9MW

Business Plan - Financial ModelWind Farm - Park Gori II 3 X N149-4.5 Hub=105m Nordex

Estimated OPEX Costs in a Feed-in-Tariff Structure (no trading and/or balancing costs) Installed No. Annual AmountCapacity (MW) WTGs USD

13,5 3

OPEX Full Service Agreement (FSA) USD / year / MW 30.000 the median range of responses of recent studies* 405.000 405.000Maintenance of the transformer station and video system USD / year 22.000 recent estimates for a Romanian wind farm 22.000 22.000SCADA preventive maintenance USD / year / wtg 1.300 recent estimates for a Romanian wind farm 3.900 3.900WF internal power consumption USD / year 3.000 recent estimates for a Romanian wind farm 3.000 3.000Land lease expenses for wtg's USD / year / wtg 3.000 subject to location / place-holder 9.000 9.000Wind farm site security USD / year / wtg 5.000 15.000 15.000Wind farm insurance USD / year 10.000 detailed policy to be analyzed 10.000 10.000Noise measurements and air quality analysis should be included in FSA 0Maintenance of the aviation lights should be included in FSA 0Birds monitoring USD / year 3.000 3.000 3.000Different services: trouble shooting, USD / year / wtg 13.000 39.000 39.000elevators, vibration analysis, cranes services

Monitoring and troubleshooting service should be included in FSA 0Measurements, power curves checks - turbines should be included in FSA 0Spare parts, inventories costs USD / year /wtg 16.500 49.500 49.500Accounting and General Management USD / year 150.000 150.000 150.000Local Taxes USD / year subject to location 0Miscellaneous USD / wtg / year 4.000 12.000 12.000

Total Operating Costs USD /year 721.400

* New Energy Update Global Wind O&M Survey 2018

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3XSWT142-4.1-8.2MW

Business Plan - Financial ModelWind Farm - Park Gori II 3 X SWT-DD-142-4.1 Hub=109m Siemens Gamesa

Estimated OPEX Costs in a Feed-in-Tariff Structure (no trading and/or balancing costs) Installed No. Annual AmountCapacity (MW) WTGs USD

12,3 3

OPEX Full Service Agreement (FSA) USD / year / MW 30.000 the median range of responses of recent studies* 369.000 369.000Maintenance of the transformer station and video system USD / year 22.000 recent estimates for a Romanian wind farm 22.000 22.000SCADA preventive maintenance USD / year / wtg 1.300 recent estimates for a Romanian wind farm 3.900 3.900WF internal power consumption USD / year 3.000 recent estimates for a Romanian wind farm 3.000 3.000Land lease expenses for wtg's USD / year / wtg 3.000 subject to location / place-holder 9.000 9.000Wind farm site security USD / year / wtg 5.000 15.000 15.000Wind farm insurance USD / year 10.000 detailed policy to be analyzed 10.000 10.000Noise measurements and air quality analysis should be included in FSA 0Maintenance of the aviation lights should be included in FSA 0Birds monitoring USD / year 3.000 3.000 3.000Different services: trouble shooting, USD / year / wtg 13.000 39.000 39.000elevators, vibration analysis, cranes services

Monitoring and troubleshooting service should be included in FSA 0Measurements, power curves checks - turbines should be included in FSA 0Spare parts, inventories costs USD / year /wtg 16.500 49.500 49.500Accounting and General Management USD / year 150.000 150.000 150.000Local Taxes USD / year subject to location 0Miscellaneous USD / wtg / year 4.000 12.000 12.000

Total Operating Costs USD /year 685.400

* New Energy Update Global Wind O&M Survey 2018

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3XV150-4.2-8.4MW

Business Plan - Financial ModelWind Farm - Park Gori II 3 X V150-4.2 Hub=105m Vestas

Estimated OPEX Costs in a Feed-in-Tariff Structure (no trading and/or balancing costs) Installed No. Annual AmountCapacity (MW) WTGs USD

12,6 3

OPEX Full Service Agreement (FSA) USD / year / MW 30.000 the median range of responses of recent studies* 378.000 378.000Maintenance of the transformer station and video system USD / year 22.000 recent estimates for a Romanian wind farm 22.000 22.000SCADA preventive maintenance USD / year / wtg 1.300 recent estimates for a Romanian wind farm 3.900 3.900WF internal power consumption USD / year 3.000 recent estimates for a Romanian wind farm 3.000 3.000Land lease expenses for wtg's USD / year / wtg 3.000 subject to location / place-holder 9.000 9.000Wind farm site security USD / year / wtg 5.000 15.000 15.000Wind farm insurance USD / year 10.000 detailed policy to be analyzed 10.000 10.000Noise measurements and air quality analysis should be included in FSA 0Maintenance of the aviation lights should be included in FSA 0Birds monitoring USD / year 3.000 3.000 3.000Different services: trouble shooting, USD / year / wtg 13.000 39.000 39.000elevators, vibration analysis, cranes services

Monitoring and troubleshooting service should be included in FSA 0Measurements, power curves checks - turbines should be included in FSA 0Spare parts, inventories costs USD / year /wtg 16.500 49.500 49.500Accounting and General Management USD / year 150.000 150.000 150.000Local Taxes USD / year subject to location 0Miscellaneous USD / wtg / year 4.000 12.000 12.000

Total Operating Costs USD /year 694.400

* New Energy Update Global Wind O&M Survey 2018

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2XE147-5-10MW

Business Plan - Financial ModelWind Farm - Park Gori II2 X E-147 EP5-5MW Hub=126m Enercon

Estimated OPEX Costs in a Feed-in-Tariff Structure (no trading and/or balancing costs) Installed No. Annual AmountCapacity (MW) WTGs USD

10 2

OPEX Full Service Agreement (FSA) USD / year / MW 30.000 the median range of responses of recent studies* 300.000 300.000Maintenance of the transformer station and video system USD / year 22.000 recent estimates for a Romanian wind farm 22.000 22.000SCADA preventive maintenance USD / year / wtg 1.300 recent estimates for a Romanian wind farm 2.600 2.600WF internal power consumption USD / year 3.000 recent estimates for a Romanian wind farm 3.000 3.000Land lease expenses for wtg's USD / year / wtg 3.000 subject to location / place-holder 6.000 6.000Wind farm site security USD / year / wtg 5.000 10.000 10.000Wind farm insurance USD / year 10.000 detailed policy to be analyzed 10.000 10.000Noise measurements and air quality analysis should be included in FSA 0Maintenance of the aviation lights should be included in FSA 0Birds monitoring USD / year 3.000 3.000 3.000Different services: trouble shooting, USD / year / wtg 13.000 26.000 26.000elevators, vibration analysis, cranes services

Monitoring and troubleshooting service should be included in FSA 0Measurements, power curves checks - turbines should be included in FSA 0Spare parts, inventories costs USD / year /wtg 16.500 33.000 33.000Accounting and General Management USD / year 150.000 150.000 150.000Local Taxes USD / year subject to location 0Miscellaneous USD / wtg / year 4.000 8.000 8.000

Total Operating Costs USD /year 573.600

* New Energy Update Global Wind O&M Survey 2018

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7XGE1.5xle13.5MW

Business Plan - Financial ModelWind Farm - Ruisi Wind Farm SH 7 X GE1.5xle (20-year old decommissioned)General Electric

Estimated OPEX Costs in a Feed-in-Tariff Structure (no trading and/or balancing costs) Installed No. Annual AmountCapacity (MW) WTGs USD

10,5 7

OPEX Full Service Agreement (FSA) USD / year / MW 30.000 the median range of responses of recent studies* 315.000 315.000Maintenance of the transformer station and video system USD / year 22.000 recent estimates for a Romanian wind farm 22.000 22.000SCADA preventive maintenance USD / year / wtg 1.300 recent estimates for a Romanian wind farm 9.100 9.100WF internal power consumption USD / year 5.000 recent estimates for a Romanian wind farm 5.000 5.000Land lease expenses for wtg's USD / year / wtg 3.000 subject to location / place-holder 21.000 21.000Wind farm site security USD / year / wtg 5.000 35.000 35.000Wind farm insurance USD / year 10.000 detailed policy to be analyzed 10.000 10.000Noise measurements and air quality analysis should be included in FSA 0Maintenance of the aviation lights should be included in FSA 0Birds monitoring USD / year 3.000 3.000 3.000Different services: trouble shooting, USD / year / wtg 13.000 91.000 91.000elevators, vibration analysis, cranes services

Monitoring and troubleshooting service should be included in FSA 0Measurements, power curves checks - turbines should be included in FSA 0Spare parts, inventories costs USD / year /wtg 16.500 115.500 115.500Accounting and General Management USD / year 150.000 150.000 150.000Local Taxes USD / year subject to location 0Miscellaneous USD / wtg / year 4.000 28.000 28.000

Total Operating Costs USD /year 804.600

* New Energy Update Global Wind O&M Survey 2018

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ANNEX 7

FINANCIAL SPREADSHEETS ALL

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Annex 7

Financial Spreadsheets

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Financial Spreadsheets Qartli Expansion P75 Aug 2019 all ranges.xlsx

Item Unit GE Nordex Siemens Vestas Enercon GE2 X GE Gamesa 7 X GE 1.5XL

Cypress 5.3 3 X N 149 3 X SWT 142 3 X V150-4.2 2 X E147-5 2nd Hand

CAPEX USD 000s 15.350 19.200 18.085 18.364 14.793 10.844

Equity USD 000s 7.675 9.600 9.043 9.182 9.182 5.422

Debt* USD 000s 7.675 9.600 9.043 9.182 7.397 5.422

Project IRR 10,72% 10,84% 10,28% 11,00% 8,74% 8,41%

[Levered] Equity IRR 21,10% 21,29% 20,35% 21,57% 17,83% 17,70%

Opex p.a. (1st yr) USD 000s 592 721 685 694 574 805

Installed Capacity MW 10,6 13,5 12,3 12,6 10 10,5

No WTG 2 3 3 3 2 7

Capacity / WTG MW 5,3 4,5 4,1 4,2 5 1,5

Capacity Factor P75 51,50% 50,60% 50,80% 52,40% 47,10% 40,30%

Annual Output MWh 47.821 59.840 54.736 57.837 41.260 37.068

Capex / MW USD 000s/MW 1.448 1.422 1.470 1.457 1.479 1.033

Opex / MWh USD 12,38 12,05 12,51 12,00 13,91 21,72

Min DSCR 1,93 1,94 1,87 1,97 1,68 1,67Avg DSCR 1,98 2,00 1,93 2,02 1,74 1,74PLCR 3,07 3,09 2,97 3,13 2,66 2,58LLCR 1,99 2,00 1,93 2,03 1,74 1,75

* Senior Debt - No-Recourse project finance - mortgage-style - 10 years (to match PPA tenor) - 50/50 - 6% USD p.a. Interest (all fees included)

Qartli Wind Farm Extension - 10 MW Range - Selected Financial Model FiguresP 75 production estimates

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Page 291: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

3XN149-4.5-9

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Page 292: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

3XSW

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Page 293: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

3XV1

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Page 294: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

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Page 295: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

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Page 296: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

Financial Spreadsheets Qartli Expansion P90 Aug 2019 all ranges.xlsx

Item Unit GE Nordex Siemens Vestas Enercon GE2 X GE 5.3 Gamesa 7 X GE 1.5XL

Cypress 3 X N 149 3 X SWT 142 3 X V150-4.2 2 X E147-5 2nd Hand

CAPEX USD 000s 15.350 19.200 18.085 18.364 14.793 10.844

Equity USD 000s 7.675 9.600 9.043 9.182 9.182 5.422

Debt* USD 000s 7.675 9.600 9.043 9.182 7.397 5.422

Project IRR 9,54% 9,68% 9,14% 9,84% 7,63% 7,01%

[Levered] Equity IRR 19,13% 19,35% 18,46% 19,62% 16,04% 15,48%

Opex p.a.* USD 000s 592 721 685 694 574 805

Installed Capacity MW 10,6 13,5 12,3 12,6 10 10,5

No WTG 2 3 3 3 2 7

Capacity / WTG MW 5,3 4,5 4,1 4,2 5 1,5

Capacity Factor P 90 48,20% 47,40% 47,60% 49,10% 44,10% 37,80%

Annual Output MWh 44.757 56.055 51.288 54.195 38.632 34.768

Capex / MW USD 000s/MW 1.448 1.422 1.470 1.457 1.479 1.033

Opex / MWh USD 13,23 12,86 13,36 12,81 14,86 23,15

Min DSCR 1,78 1,80 1,73 1,82 1,55 1,51Avg DSCR 1,83 1,85 1,78 1,87 1,60 1,59PLCR 2,82 2,85 2,74 2,88 2,45 2,33LLCR 1,84 1,86 1,79 1,88 1,61 1,59

* Senior Debt - No-Recourse project finance - mortgage-style - 10 years (to match PPA tenor) - 50/50 - 6% USD p.a. Interest (all fees included)

Qartli Wind Farm Extension - 10 MW Range - Selected Financial Model FiguresP 90 Production Estimates

Page 297: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

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1.78

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1.77

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1.76

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1.37

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876

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117

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Page 298: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

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Page 300: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

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Page 301: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

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61

Page 302: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …

7XGE

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LE-10.5MW

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Page 304: THE EXPANSION OF THE QARTLI WIND FARM - A STUDY OF …