Wind Regime in Pakistan

7/22/2019 Wind Regime in Pakistan

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WIND R EGIME IN P AKISTAN

This document provides a brief on the local wind regime in place under theshort term Policy for Development of Renewable Energy for Power

Generation (2006)



WIND REGIME IN PAKISTAN 2

The Government of Pakistan (GOP) in order to attract investment into the wind power sector provides coverage against wind speed

variability risk (Wind Risk ) for the initial project through its Policy for Development of Renewable Energy for Power Generation,

2006 (the Policy). The financial implications of provision of Wind Risk are absorbed by the utility procuring power from the wind

power producer (WPP). The mechanism for determining applicability of Wind Risk detailed under the Policy ensures that WPPs are

only awarded immunity (in terms of revenue) against variability in wind speed, and not for non-conformance with performanceparameters.

In order to better understand the working of the Wind Risk coverage, it is necessary to gain an understanding of the following

concepts contained in the Policy and the Energy Purchase Agreement (EPA):

Benchmark Wind Speed is determined based on monthly “Mean of Means” of wind speeds from the available wind data

(masts maintained by Pakistan Metrological Department at Nooriabad for Jhampir and Gharo for Kuttikun and Bhambore).

This entails determining wind speed benchmarks from the data collected at a certain height above ground level and its

extrapolation by standard formulae to the turbine height of the proposed wind farm. Monthly “Mean of Means” is the average

of mean monthly wind velocities for a given month over a number of years for which reliable data is available.

The Alternate Energy Development Board ( AEDB) had been entrusted with the task of development of Benchmark Wind

Speed tables for wind farm site to be located at Jhampir and Kuttikun, Sindh. Based on the “Mean of Means” method

described above, AEDB has developed the following Benchmark Wind Speed tables for different hub heights:

Month Kuttikun and Bhambore Sites Jhampir Sites

30m 50m 60m 67m 80m 30m 50m 60m 67m 80m

January 4.7 5.1 5.2 5.3 5.4 4.3 4.7 4.9 5.0 5.2

February 5.1 5.4 5.5 5.6 5.7 4.5 5.0 5.2 5.3 5.6

March 5.3 5.7 5.8 5.9 5.9 4.8 5.3 5.5 5.6 5.9 April 7.0 7.3 7.4 7.6 7.6 6.4 7.0 7.3 7.5 7.8

May 8.9 9.4 9.6 9.7 9.8 8.3 9.1 9.4 9.6 9.9

June 10.3 10.9 11.1 11.2 11.3 8.8 9.5 9.8 10.0 10.3

July 8.4 8.9 9.0 9.2 9.2 8.8 9.6 9.9 10.1 10.4

August 9.3 9.8 10.0 10.2 10.3 8.2 8.9 9.2 9.3 9.6

September 7.6 8.1 8.2 8.3 8.4 6.6 7.3 7.5 7.7 8.0

October 4.3 4.6 4.7 4.7 4.8 4.2 4.7 4.9 5.0 5.2

November 3.8 4.1 4.2 4.3 4.4 3.6 4.0 4.1 4.2 4.4

December 4.6 4.9 5.1 5.2 5.3 4.0 4.4 4.6 4.7 4.9

Annual Average 6.6 7.0 7.1 7.2 7.3 6.0 6.6 6.8 7.0 7.3




The GOP guarantees the Benchmark Wind Speeds, provided above, on monthly basis (termed as the Monthly Benchmark

Wind Speeds) for each of the wind farm sites located at Jhampir and Kuttikun.

Monthly Benchmark Energy or MBE is the energy production estimate determined based on the Monthly Benchmark WindSpeed for each project site based on the selected technology (monthly energy outputs). The MBE value for each month isspecified after taking into account the power curve, availability, wake and electrical losses and auxiliary consumption of thecomplex.

Complex Monthly Power Curve Energy table - The quantity of energy a wind farm (all WTGs and other equipmentforming part of the complex / project) is capable of generating and delivering during a given month corresponding to eachnode (graded to one-tenth of a meter per second) on the spectrum of wind speed ranging from the cut in wind speed to thecut out wind speed of the selected wind turbine generators (WTG). The Complex Monthly Power Curve Energy table isdeveloped by the WPPs and upon approval from AEDB forms part of the EPA (executed between the WPP and power

purchaser / utility company).

Monthly Actual Wind Speed - The mean speed of the wind at the WPP site over a given month (expressed in meters persecond), calculated as the mean of the actual wind speed measurements (expressed in meters per second) recorded in thatmonth at contiguous intervals at which the data logger records the wind speed (not less than one reading per two (2)seconds interval) from which a ten (10) minute mean is derived and all the said ten (10) minutes means in a given month areused to compute the said mean speed over that month.

Regular Energy - For any month, the sum of the Net Delivered Energy and Non-Project Missed Volume less than or equal tothe Monthly Benchmark Energy for that month. Payments made by the power purchaser against delivery of Regular Energyare termed as Regular Energy Payments.

Bonus Energy - For any month, the quantity of energy that exceeds the Monthly Benchmark Energy for that month.Payments made by the power purchaser against delivery of Bonus Energy are termed as Bonus Energy Payments.

Shortfall Energy - The shortfall, if any, of the sum of Net Delivered Energy and Non-Project Missed Volume in a givenmonth below the Monthly Benchmark Energy for that month, where such shortfall is attributable solely to the Monthly ActualWind Speed being less than the Monthly Benchmark Wind Speed. Payments made by the power purchaser against delivery ofShortfall Energy are termed as Shortfall Energy Payments.




Net Delivered Energy - The net electric energy expressed in kWh that is generated by the wind farm and delivered to theutility at the grid interconnection point.

Non-Project Missed Volume - The volume of Net Delivered Energy not delivered by the wind farm which non delivery isdue solely to any one of the following events:

o constraints on the utility’s grid system,o variations in grid system frequency outside the technical limits of the wind farm,o grid system voltage outside the technical limits of the wind farm,o a despatch instruction restricting generation of energy issued by the utility, ando an emergency.

Energy Price – The price of Net Delivered Energy and Non-Project Missed Volume, expressed in US ¢ per kWh, determinedby the National Electric Power and Regulatory Authority (NEPRA) for sale of electricity to the power purchaser.

The aggregate of the Monthly Benchmark Energy gives the annual energy production estimate, which is used in the determination ofEnergy Price for a WPP, while the monthly revenue due to a WPP is based on the Complex Monthly Power Curve Energy table (theCMPCE Table). This can be explained better with the assistance of the following example:

Assume that the table below is the Monthly Benchmark Energy table for a WPP, located at Jhampir, and provides the energyproduction estimates corresponding to the Monthly Benchmark Wind Speeds which is used for calculating the Regular Energyand Bonus Energy:

Months Monthly BenchmarkWind Speeds (m/s)

Monthly BenchmarkEnergy (GWh)

January 5.2 4.94February 5.6 6.21

March 5.9 7.47

April 7.8 13.52

May 9.9 22.12

June 10.3 21.39

July 10.4 22.79 August 9.6 19.84

September 8.0 14.0




October 5.2 4.57

November 4.4 2.83

December 4.9 3.88

Average 7.3 -

Total - 143.55

The CMPCE Table (attached as Annex- 1) is used for determining the Shortfall Energy (Wind Risk assessment) of the WPP.

Further, for this example we shall assume that the Energy Price of the WPP is US¢ 9.5 / kWh (the Tariff ).

Scenario I – Monthly Actual Wind Speed is equal to Monthly Benchmark Wind Speed

o Provided that the WPP generates and delivers energy equal to the Monthly Benchmark Energy to the utility, the WPPshall be entitled to receive Regular Energy Payments determined based on the formula below:

:

In this scenario if in the month of January the Monthly Actual Wind Speed is equal to 5.2 m/s i.e. the Monthly BenchmarkWind Speed and the WPP produces 4.94 GWh i.e equal to the Monthly Benchmark Energy; the Regular Energy Paymentshall be calculated (as per the formula above) as follows:

NDE January = 4.94 x 10 ^ 6 kWhNPMV January = 0 kWh (assumed)




ME January = 4.94 x 10 ^ 6 kWh As ME January = MBE January: therefore RE January = MBE January = 4.94 x 10 ^ 6 kWhREP January = 0.095 x 4.94 x 10 ^ 6 = US$ 469,300

Scenario II – Monthly Actual Wind Speed is greater than Monthly Benchmark Wind Speed

o Provided that the WPP generates and delivers energy to the utility equal to or above the amount specified in the CMPCETable, the WPP shall be entitled to receive Regular Energy Payment up to the amount of Monthly Benchmark Energy andBonus Energy Payment for the amount of energy produced above the Monthly Benchmark Energy. The Bonus EnergyPayment due to the WPP shall be in addition to the Regular Energy Payment and shall be limited to 10% of the EnergyPrice:

o In this scenario, if in the month of February the Monthly Actual Wind Speed is 5.8 m/s, which is greater than the MonthlyBenchmark Wind Speed of 5.6 m/s, and the actual energy production (Net Delivered Energy or Monthly Energy) of theWPP is 6.79 GWh, which is above the Monthly Benchmark Energy for that month. Then the following calculations for

Regular Energy Payment and Bonus Energy Payment shall apply:

NDE February = 6.79 x 10 ^ 6 kWhNPMV February = 0 kWh (assumed)ME February = 6.79 x 10 ^ 6 kWh

As ME February >= MBE February: therefore RE February = MBE February = 6.21 x 10 ^ 6 kWhREP February = 0.095 x 6.21 x 10 ^ 6 = US$ 589,950




BonE February = (6.79 x 10 ^ 6) – (6.21 x 10 ^ 6)BonEP February = 0.095 x 0.58 x 10 ^ 6 x 10% = US$ 5,510

Scenario III (a) – Monthly Actual Wind Speed is lower than Monthly Benchmark Wind Speed and Energy Production is in line withCMPCE Table

o Provided that the WPP generates and delivers energy to the utility in accordance with the CMPCE Table, the WPP shall beentitled to receive Regular Energy Payment up to the amount of Net Delivered Energy and shall be entitled to receiveShortfall Energy Payment for the amount of energy the WPP was unable to produce as a result of unavailability of wind.The Shortfall Energy Payment due to the WPP shall be in addition to the Regular Energy Payment:

o In this scenario, if in the month of March the Monthly Actual Wind Speed is 5.5 m/s, which is lower than the MonthlyBenchmark Wind Speed of 5.9 m/s, and the actual energy production (Net Delivered Energy or Monthly Energy) of theWPP is in accordance with the CMPCE Table which is 6.14 GWh; then the following calculations for Regular EnergyPayment and Shortfall Energy Payment shall apply:

NDE March = 6.14 x 10 ^ 6 kWhNPMV March = 0 kWh (assumed)ME March = 6.14 x 10 ^ 6 kWh

As ME March < MBE March: therefore RE March = ME March = 6.14 x 10 ^ 6 kWh




REP March = 0.095 x 6.14 x 10 ^ 6 = US$ 583,300X = (6.14 x 10 ^ 6) – (6.14 x 10^ 6) = 0SFE March = (7.47 x 10 ^ 6) – (6.14 x 10 ^ 6) = 1.33 x 10 ^ 6

As Variable O&M in local WPPs is negligibleSFEP March = (1.33 x 10 ^ 6 – 0) x (0.095) = US$ 126,350

Scenario III (b) – Monthly Actual Wind Speed is lower than Monthly Benchmark Wind Speed and Energy Production is lower thanthat in the CMPCE Table

o In case the WPP generates and delivers energy to the utility below the amount specified in the CMPCE Table, the WPPshall be entitled to receive Regular Energy Payment up to the amount of Net Delivered Energy and shall be entitled toreceive Shortfall Energy Payment for the amount of energy the WPP was unable to produce as a result of unavailability ofwind after taking into account the inefficiency of the WPP. The Shortfall Energy Payment due to the WPP shall be inaddition to the Regular Energy Payment:

o In this scenario if in the month of April the Monthly Actual Wind Speed is 7.5 m/s, which is lower than the MonthlyBenchmark Wind Speed of 7.8 m/s, and the actual energy production (Net Delivered Energy / Monthly Energy) of theWPP is not in accordance with the CMPCE Table (assume the WPP produces 12.0 GWh which is below the amount to beproduced as specified in the CMPCE Table); then the following calculations for Regular Energy Payment and ShortfallEnergy Payment shall apply:

NDE March = 12.0 x 10 ^ 6 kWhNPMV March = 0 kWh (assumed)




ME March = 12.0 x 10 ^ 6 kWh As ME March < MBE March: therefore RE March = ME March = 12.0 x 10 ^ 6 kWhREP March = 0.095 x 12.0 x 10 ^ 6 = US$ 1,140,000SFE April = (13.52 x 10 ^ 6) – (12.43 x 10 ^ 6) = 1.09 x 10 ^ 6

As Variable O&M in local WPPs is negligibleSFEP April = (1.09 x 10 ^ 6) x (12.0 x 10 ^ 6) / (12.43 x 10 ^ 6) x (0.095)SFEP April = US$ 99,968



ANNEX – I


Average WindSpeed (m/s)

Energy Production Estimate – GWH

January February March April May June July August September October November December

3 0.56 0.74 0.67 0.44 0.29 0.39 0.36 0.39 0.38 0.51 0.61 0.51

3.1 0.66 0.85 0.78 0.53 0.37 0.47 0.44 0.47 0.46 0.60 0.71 0.60

3.2 0.77 0.97 0.90 0.63 0.45 0.56 0.53 0.57 0.55 0.70 0.82 0.70

3.3 0.89 1.10 1.03 0.73 0.55 0.66 0.63 0.66 0.65 0.81 0.94 0.823.4 1.02 1.24 1.17 0.84 0.65 0.77 0.73 0.77 0.75 0.93 1.06 0.94

3.5 1.15 1.38 1.32 0.97 0.76 0.88 0.85 0.89 0.87 1.05 1.20 1.07

3.6 1.30 1.54 1.47 1.09 0.88 1.01 0.98 1.02 0.99 1.19 1.34 1.21

3.7 1.45 1.70 1.64 1.23 1.01 1.14 1.11 1.15 1.12 1.33 1.50 1.35

3.8 1.62 1.87 1.81 1.38 1.15 1.28 1.25 1.29 1.26 1.48 1.66 1.51

3.9 1.79 2.05 2.00 1.53 1.30 1.43 1.40 1.44 1.41 1.65 1.83 1.68

4 1.98 2.24 2.19 1.70 1.45 1.59 1.56 1.61 1.56 1.82 2.01 1.86

4.1 2.17 2.44 2.39 1.87 1.61 1.76 1.73 1.77 1.72 2.00 2.20 2.04

4.2 2.37 2.65 2.61 2.05 1.78 1.93 1.91 1.95 1.90 2.18 2.40 2.24

4.3 2.58 2.86 2.83 2.24 1.96 2.12 2.09 2.14 2.08 2.38 2.61 2.44

4.4 2.81 3.08 3.06 2.44 2.15 2.31 2.29 2.34 2.27 2.59 2.83 2.664.5 3.04 3.31 3.30 2.65 2.35 2.52 2.49 2.54 2.47 2.80 3.05 2.88

4.6 3.28 3.55 3.54 2.87 2.56 2.73 2.70 2.76 2.68 3.03 3.29 3.11

4.7 3.54 3.79 3.80 3.09 2.77 2.95 2.92 2.98 2.89 3.26 3.53 3.36

4.8 3.80 4.04 4.06 3.33 3.00 3.18 3.16 3.21 3.12 3.51 3.78 3.61

4.9 4.07 4.30 4.34 3.58 3.23 3.42 3.40 3.46 3.35 3.76 4.04 3.88

5 4.35 4.56 4.62 3.83 3.47 3.66 3.65 3.71 3.60 4.02 4.31 4.15

5.1 4.64 4.83 4.91 4.10 3.73 3.92 3.91 3.97 3.85 4.29 4.58 4.43

5.2 4.94 5.10 5.21 4.37 3.99 4.18 4.18 4.24 4.12 4.57 4.87 4.73

5.3 5.25 5.37 5.51 4.65 4.26 4.46 4.46 4.52 4.39 4.86 5.16 5.03

5.4 5.57 5.65 5.82 4.95 4.54 4.74 4.75 4.81 4.67 5.15 5.45 5.34

5.5 5.90 5.93 6.14 5.25 4.83 5.03 5.05 5.10 4.96 5.46 5.75 5.665.6 6.23 6.21 6.46 5.56 5.14 5.33 5.36 5.41 5.26 5.77 6.06 5.99

5.7 6.57 6.50 6.79 5.88 5.45 5.64 5.68 5.72 5.57 6.08 6.37 6.32

5.8 6.91 6.79 7.13 6.21 5.77 5.95 6.01 6.05 5.89 6.40 6.68 6.66

5.9 7.26 7.08 7.47 6.54 6.10 6.27 6.35 6.38 6.21 6.73 7.00 7.01

6 7.62 7.37 7.81 6.88 6.44 6.60 6.69 6.71 6.54 7.07 7.33 7.37

6.1 7.98 7.66 8.16 7.23 6.79 6.93 7.05 7.06 6.88 7.41 7.65 7.73

6.2 8.34 7.94 8.51 7.58 7.16 7.28 7.42 7.41 7.23 7.75 7.98 8.10

6.3 8.71 8.23 8.86 7.94 7.53 7.62 7.79 7.77 7.58 8.10 8.31 8.47

6.4 9.07 8.52 9.21 8.31 7.91 7.98 8.17 8.13 7.94 8.45 8.64 8.84



ANNEX – I


6.5 9.44 8.81 9.57 8.68 8.29 8.34 8.56 8.50 8.31 8.80 8.97 9.22

6.6 9.81 9.10 9.92 9.05 8.69 8.70 8.96 8.87 8.68 9.15 9.30 9.59

6.7 10.18 9.38 10.28 9.42 9.10 9.07 9.36 9.25 9.05 9.51 9.63 9.98

6.8 10.56 9.67 10.63 9.80 9.51 9.44 9.77 9.63 9.43 9.86 9.96 10.36

6.9 10.92 9.95 10.98 10.18 9.93 9.82 10.18 10.02 9.81 10.22 10.29 10.74

7 11.29 10.23 11.34 10.55 10.35 10.19 10.59 10.41 10.19 10.58 10.61 11.127.1 11.66 10.50 11.68 10.93 10.78 10.57 11.01 10.80 10.57 10.93 10.94 11.50

7.2 12.02 10.77 12.03 11.31 11.22 10.96 11.43 11.19 10.96 11.29 11.26 11.88

7.3 12.39 11.05 12.37 11.68 11.65 11.34 11.86 11.58 11.34 11.64 11.58 12.26

7.4 12.74 11.31 12.71 12.06 12.10 11.73 12.28 11.97 11.73 11.99 11.90 12.63

7.5 13.10 11.58 13.05 12.43 12.54 12.11 12.70 12.37 12.11 12.34 12.21 13.00

7.6 13.45 11.84 13.38 12.80 12.99 12.50 13.12 12.76 12.50 12.68 12.53 13.37

7.7 13.80 12.10 13.71 13.16 13.43 12.88 13.54 13.15 12.88 13.03 12.83 13.74

7.8 14.14 12.35 14.03 13.52 13.88 13.26 13.96 13.54 13.25 13.36 13.14 14.10

7.9 14.48 12.60 14.35 13.88 14.32 13.64 14.38 13.93 13.63 13.70 13.44 14.46

8 14.82 12.85 14.66 14.23 14.77 14.02 14.79 14.31 14.00 14.03 13.73 14.81

8.1 15.14 13.09 14.97 14.58 15.21 14.40 15.20 14.69 14.37 14.35 14.02 15.168.2 15.47 13.33 15.27 14.92 15.65 14.77 15.60 15.07 14.73 14.68 14.31 15.50

8.3 15.79 13.57 15.56 15.26 16.08 15.14 16.00 15.45 15.09 14.99 14.59 15.84

8.4 16.10 13.80 15.85 15.59 16.51 15.51 16.40 15.82 15.44 15.30 14.87 16.17

8.5 16.41 14.03 16.14 15.91 16.93 15.87 16.78 16.18 15.79 15.61 15.14 16.50

8.6 16.72 14.25 16.42 16.23 17.35 16.23 17.16 16.54 16.14 15.91 15.41 16.82

8.7 17.02 14.47 16.69 16.54 17.76 16.58 17.54 16.90 16.47 16.21 15.67 17.13

8.8 17.31 14.69 16.95 16.85 18.17 16.92 17.91 17.25 16.80 16.50 15.93 17.44

8.9 17.60 14.90 17.21 17.15 18.57 17.26 18.27 17.59 17.13 16.78 16.18 17.75

9 17.88 15.11 17.47 17.44 18.96 17.60 18.62 17.93 17.45 17.06 16.43 18.05

9.1 18.15 15.31 17.72 17.73 19.34 17.93 18.97 18.27 17.76 17.34 16.68 18.34

9.2 18.43 15.51 17.96 18.01 19.72 18.25 19.31 18.59 18.07 17.61 16.92 18.639.3 18.69 15.71 18.20 18.28 20.09 18.57 19.64 18.91 18.37 17.87 17.15 18.91

9.4 18.95 15.90 18.43 18.55 20.45 18.88 19.96 19.23 18.66 18.13 17.38 19.18

9.5 19.21 16.09 18.65 18.81 20.80 19.19 20.28 19.54 18.95 18.38 17.61 19.45

9.6 19.46 16.27 18.87 19.07 21.14 19.49 20.59 19.84 19.23 18.63 17.83 19.71

9.7 19.70 16.45 19.08 19.32 21.47 19.78 20.89 20.13 19.51 18.87 18.04 19.97

9.8 19.94 16.62 19.29 19.56 21.80 20.06 21.18 20.42 19.78 19.11 18.25 20.22

9.9 20.18 16.79 19.49 19.80 22.12 20.34 21.47 20.70 20.04 19.34 18.46 20.47

10 20.40 16.96 19.69 20.03 22.42 20.61 21.74 20.98 20.30 19.57 18.66 20.71

10.1 20.63 17.12 19.88 20.25 22.72 20.88 22.02 21.25 20.55 19.79 18.86 20.95



ANNEX – I


10.2 20.85 17.27 20.07 20.47 23.01 21.14 22.28 21.51 20.79 20.00 19.05 21.18

10.3 21.06 17.43 20.25 20.69 23.30 21.39 22.54 21.76 21.03 20.22 19.23 21.40

10.4 21.27 17.57 20.42 20.90 23.57 21.64 22.79 22.01 21.26 20.42 19.42 21.62

10.5 21.48 17.72 20.59 21.10 23.84 21.88 23.03 22.26 21.48 20.62 19.59 21.83

10.6 21.68 17.85 20.76 21.30 24.09 22.11 23.26 22.50 21.71 20.82 19.77 22.04

10.7 21.87 17.99 20.92 21.49 24.34 22.34 23.49 22.73 21.92 21.01 19.94 22.2410.8 22.06 18.12 21.08 21.68 24.59 22.56 23.72 22.95 22.13 21.19 20.10 22.44

10.9 22.25 18.24 21.23 21.87 24.82 22.77 23.93 23.17 22.33 21.38 20.26 22.64

11 22.43 18.36 21.37 22.05 25.05 22.98 24.15 23.38 22.53 21.55 20.42 22.83

11.1 22.60 18.48 21.52 22.22 25.27 23.18 24.35 23.59 22.72 21.72 20.57 23.01

11.2 22.78 18.59 21.65 22.39 25.48 23.38 24.55 23.79 22.91 21.89 20.71 23.19

11.3 22.94 18.70 21.79 22.56 25.69 23.57 24.74 23.99 23.10 22.05 20.85 23.36

11.4 23.11 18.80 21.92 22.72 25.89 23.76 24.93 24.18 23.27 22.21 20.99 23.53

11.5 23.27 18.90 22.04 22.88 26.08 23.94 25.11 24.37 23.45 22.36 21.12 23.70

11.6 23.42 19.00 22.16 23.03 26.27 24.11 25.29 24.55 23.62 22.51 21.25 23.86

11.7 23.57 19.09 22.28 23.18 26.45 24.28 25.46 24.72 23.78 22.66 21.37 24.02

11.8 23.71 19.17 22.39 23.32 26.63 24.44 25.63 24.89 23.94 22.80 21.49 24.1711.9 23.85 19.25 22.50 23.46 26.80 24.60 25.79 25.06 24.10 22.93 21.61 24.32

12 23.99 19.33 22.60 23.60 26.96 24.75 25.95 25.22 24.25 23.06 21.72 24.46

12.1 24.12 19.40 22.70 23.73 27.12 24.90 26.11 25.37 24.39 23.19 21.82 24.60

12.2 24.24 19.47 22.80 23.86 27.27 25.04 26.26 25.52 24.54 23.31 21.92 24.74

12.3 24.36 19.54 22.89 23.99 27.42 25.17 26.40 25.67 24.67 23.42 22.02 24.86

12.4 24.48 19.60 22.98 24.11 27.57 25.31 26.54 25.80 24.81 23.54 22.11 24.99

12.5 24.59 19.65 23.06 24.23 27.71 25.43 26.68 25.94 24.94 23.64 22.20 25.11

12.6 24.69 19.70 23.14 24.34 27.84 25.55 26.81 26.07 25.07 23.75 22.28 25.23

12.7 24.79 19.75 23.21 24.45 27.97 25.67 26.94 26.19 25.19 23.84 22.36 25.34

12.8 24.88 19.80 23.28 24.56 28.10 25.78 27.07 26.31 25.31 23.94 22.43 25.44

12.9 24.97 19.84 23.35 24.66 28.22 25.89 27.19 26.43 25.42 24.03 22.50 25.5413 25.06 19.88 23.41 24.76 28.34 25.99 27.31 26.54 25.53 24.11 22.56 25.64

13.1 25.13 19.91 23.47 24.85 28.45 26.09 27.42 26.65 25.64 24.19 22.62 25.73

13.2 25.20 19.94 23.52 24.94 28.56 26.18 27.53 26.75 25.74 24.27 22.68 25.82

13.3 25.27 19.96 23.57 25.02 28.67 26.27 27.64 26.84 25.83 24.34 22.73 25.90

13.4 25.33 19.99 23.61 25.10 28.77 26.35 27.74 26.94 25.93 24.40 22.77 25.97

13.5 25.39 20.01 23.65 25.18 28.88 26.43 27.84 27.02 26.02 24.46 22.82 26.04

13.6 25.44 20.02 23.69 25.25 28.97 26.51 27.94 27.10 26.10 24.52 22.85 26.11

13.7 25.48 20.03 23.72 25.31 29.07 26.58 28.03 27.18 26.18 24.57 22.88 26.16

13.8 25.52 20.04 23.74 25.37 29.16 26.64 28.12 27.26 26.25 24.61 22.91 26.22



ANNEX – I


13.9 25.55 20.05 23.76 25.43 29.24 26.71 28.20 27.32 26.33 24.65 22.93 26.27

14 25.58 20.05 23.78 25.48 29.33 26.76 28.29 27.39 26.39 24.69 22.95 26.31

14.1 25.60 20.05 23.79 25.52 29.41 26.82 28.36 27.45 26.45 24.72 22.97 26.34

14.2 25.61 20.05 23.80 25.56 29.49 26.87 28.43 27.50 26.51 24.75 22.98 26.37

14.3 25.62 20.04 23.80 25.60 29.56 26.92 28.50 27.55 26.56 24.77 22.98 26.40

14.4 25.63 20.03 23.80 25.63 29.63 26.96 28.57 27.60 26.61 24.78 22.98 26.4214.5 25.63 20.02 23.79 25.65 29.70 27.00 28.63 27.64 26.65 24.80 22.98 26.43

14.6 25.62 20.00 23.78 25.67 29.76 27.03 28.68 27.67 26.69 24.80 22.98 26.44

14.7 25.61 19.99 23.76 25.68 29.82 27.06 28.73 27.70 26.72 24.80 22.97 26.45

14.8 25.60 19.97 23.74 25.69 29.88 27.09 28.78 27.73 26.74 24.80 22.95 26.44

14.9 25.58 19.94 23.72 25.69 29.93 27.11 28.82 27.75 26.76 24.79 22.93 26.44

15 25.56 19.92 23.69 25.69 29.98 27.13 28.85 27.77 26.78 24.78 22.91 26.42

Documents

Wind Regime in Pakistan