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Analysis of the Technical Feasibility of Powering the South-West Interconnected System (SWIS) on 100% Renewable Energy ________________________________________________________________ By William Daniel Gardiner BSc A dissertation submitted in partial requirement for the degree of Master of Science in Renewable Energy School of Energy & Engineering May 2013

By William Daniel Gardiner BSc - Murdoch University · William Daniel Gardiner BSc A dissertation submitted in partial requirement for the degree of Master of Science in Renewable

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Page 1: By William Daniel Gardiner BSc - Murdoch University · William Daniel Gardiner BSc A dissertation submitted in partial requirement for the degree of Master of Science in Renewable

Analysis of the Technical Feasibility of Powering the

South-West Interconnected System (SWIS) on 100%

Renewable Energy

________________________________________________________________

By

William Daniel Gardiner BSc

A dissertation submitted in partial requirement

for the degree of

Master of Science in Renewable Energy

School of Energy & Engineering

May 2013

Page 2: By William Daniel Gardiner BSc - Murdoch University · William Daniel Gardiner BSc A dissertation submitted in partial requirement for the degree of Master of Science in Renewable

ii

Declaration

I hereby declare that this submission is my own work and that, to the best of my

knowledge and belief, it contains no material previously published or written by

another person nor material which has been accepted for the award of any other

degree or diploma of the University or other institute of higher learning, except where

due acknowledgment has been made in the text.

William Daniel Gardiner

May 2013

Acknowledgements

I would like to express my gratitude to the School of Energy & Engineering for giving

me the opportunity to study renewable energy at Murdoch University. I would also

like to thank the lecturers from this and my previous degree for passing on their

knowledge.

Thanks also to Dr Trevor Pryor, the coordinator of PEC 624, Renewable Energy

Dissertation. His administrative assistance and motivational support has been

appreciated.

Special thanks are due to my supervisor, Dr Chris Creagh, for being so generous with

her time, patience and valuable opinion. Not only has she offered technical advice

during the writing of this dissertation, she has provided moral support during this and

my previous undergraduate degree. As someone dealing with the pressures of full-

Page 3: By William Daniel Gardiner BSc - Murdoch University · William Daniel Gardiner BSc A dissertation submitted in partial requirement for the degree of Master of Science in Renewable

iii

time work, family and off-campus study, this has been invaluable and is very much

appreciated.

Finally, to my wife Dawn, and children Zayne and Lucas. Words cannot express the

love and gratitude I have towards you for the support you have shown me throughout

the past 10 years and in particular the past 12 months of this dissertation. I could not

have been completed this work without your love, support and patience. It is yours as

much as mine.

Page 4: By William Daniel Gardiner BSc - Murdoch University · William Daniel Gardiner BSc A dissertation submitted in partial requirement for the degree of Master of Science in Renewable

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“We need to base our energy around renewable sources. They will

be around for another four billion years. We can supply our entire

energy supply on biomass, solar, geothermal, hydro and wind.”

Professor Olav Hohmeyer

Intergovernmental Panel on Climate Change (IPCC)

Page 5: By William Daniel Gardiner BSc - Murdoch University · William Daniel Gardiner BSc A dissertation submitted in partial requirement for the degree of Master of Science in Renewable

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Abstract

Fuelled by a growing economy and increasing population, energy demand in the

South West Interconnected System (SWIS) has risen by 10.04% in the past 5 years

and is projected to rise by a possible 56% in the next 11 years (Independent Market

Operator 2012).

This dissertation focuses on the utilisation of renewable energy within the SWIS

network in order to combat climate change. Summaries of renewable energy

technologies (RETs) are provided and an analysis of resource availability given.

Finally an examination of energy efficiency is undertaken to determine what its

potential benefit to the SWIS network could be.

A number of research projects and papers dedicated to the issue of integrating 100%

renewable energy into national and/or local electrical grid networks were reviewed as

part of this dissertation.

The dissertation finds that there is ample renewable energy resource to power the

SWIS for the foreseeable future. While a fully renewable energy based generation

system will come at significant cost, it can be expected to bring with it decreased

energy wastage. This is due to the removal of thermal baseload power stations that

produce energy around the clock, including in periods of low demand. Moreover, a

renewable energy, distributed generation system will better be able to match supply to

demand.

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Finally, increased uptake of energy efficiency will have a major role to play in

Western Australia‟s future electricity generation mix as it will decrease the amount of

additional generation capacity required.

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Table of Contents Declaration ..................................................................................................................... ii Acknowledgements ........................................................................................................ ii Abstract .......................................................................................................................... v Table of Contents ......................................................................................................... vii List of Figures ................................................................................................................ x List of Tables ............................................................................................................... xii List of Acronyms ....................................................................................................... xiii

Ch.1 Introduction ........................................................................................................ 1 1.1 Project Aims and Objectives ............................................................................. 1 1.2 Why Change is Required .................................................................................. 2 1.3 What is Required to Bring about Change? ....................................................... 3 1.4 Structure of the Dissertation ............................................................................. 4 1.5 Dissertation Limitations .................................................................................... 5

Ch. 2 An Historical Precedent for Including Large Amounts of Renewable Energy

in the Energy Mix for the Electricity Grid ..................................................................... 6 2.1 Introduction ..................................................................................................... 6 2.2 Albania ............................................................................................................ 6 2.3 Bhutan ............................................................................................................. 8 2.4 Iceland ........................................................................................................... 10 2.5 Norway .......................................................................................................... 14 2.6 Paraguay ........................................................................................................ 15 2.7 100% RE Projects & Studies ........................................................................ 16 2.8 Conclusion .................................................................................................... 19

Ch. 3 Outline of the SWIS Network ....................................................................... 21 3.1 Introduction to the South-West Interconnected System (SWIS) .................. 21 3.2 Primary Energy Sources within SWIS .......................................................... 22 3.3 History of Energy Consumption in the SWIS............................................... 27 3.4 Projections for Future Growth ...................................................................... 30 3.5 Conclusions ................................................................................................... 34

Ch.4 Solar .............................................................................................................. 35 4.1 Introduction to Solar Energy ......................................................................... 35 4.2 Solar Power in the SWIS .............................................................................. 42 4.3 Analysis of Solar Resource in the SWIS ....................................................... 45 4.4 Conclusion ..................................................................................................... 52

Ch.5 Wind Energy ................................................................................................. 54 5.1 Introduction to Wind Energy Technology .................................................... 54 5.2 Wind Energy Integration into Grid Networks .............................................. 55 5.3 Wind Energy in the SWIS ............................................................................. 58 5.4 Wind Energy Resource in the SWIS ............................................................. 60 5.5 Conclusion .................................................................................................... 62

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Ch.6 Wave Energy ................................................................................................. 63 6.1 Wave Energy Introduction ............................................................................ 63 6.2 CETO Wave Energy ..................................................................................... 63 6.3 Measurement of SWIS Wave Resource ........................................................ 66 6.4 Conclusion .................................................................................................... 71

Ch.7 Biomass ......................................................................................................... 72 7.1 Introduction to Biomass ................................................................................ 72 7.2 Biomass Projects in WA ............................................................................... 73 7.3 Biomass Resource in SWIS .......................................................................... 75 7.4 Conclusion .................................................................................................... 78

Ch. 8 Renewable Energy Technologies other than Solar, Wind, Wave and

Biomass…. ................................................................................................................... 79

8.1 Introduction ................................................................................................... 79 8.2 Hydro Power in the SWIS............................................................................. 79 8.3 Tidal Energy in the SWIS ............................................................................. 80 8.4 Geothermal Power in the SWIS .................................................................... 81 8.5 Conclusion .................................................................................................... 85

Ch.9 Energy Storage ................................................................................................ 86 9.1 Introduction ................................................................................................... 86 9.2 Pumped Hydro Storage ................................................................................. 86 9.3 Biomass Storage............................................................................................ 87 9.4 Molten Salt Storage....................................................................................... 87 9.5 Flywheels ...................................................................................................... 89 9.6 Conclusion .................................................................................................... 90

Ch. 10 Impacts of Energy Efficiency ...................................................................... 92 10.1 Introduction to Energy Efficiency .............................................................. 92 10.2 Benefits of Energy Efficiency ..................................................................... 93 10.3 Energy Efficiency in the SWIS ................................................................... 99 10.4 Conclusion ................................................................................................ 103

Ch. 11 Sustainable Energy Now: Energy Simulation ........................................... 104 11.1 Introduction to Sustainable Energy Now: Energy Simulation .................. 104 11.2 Renewable Energy Scenarios for the SWIS .............................................. 106

Ch. 12 Why haven‟t we acted already? ................................................................ 111 12.1 Barriers to Renewable Energy .................................................................. 111 12.2 Breaking Down the Barriers ..................................................................... 112 12.3 Changes to be made .................................................................................. 117

Ch. 13 Conclusion ................................................................................................. 119

Ch. 14 Appendices ................................................................................................ 122

Appendix A Western Australia: Energy Resources and Infrastructure September

2010…………… 122 Appendix B Average Monthly Solar Insolation Values ................................... 123

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Appendix C Average Monthly Wind Speeds .................................................... 126 Bibliography .............................................................................................................. 127

Page 10: By William Daniel Gardiner BSc - Murdoch University · William Daniel Gardiner BSc A dissertation submitted in partial requirement for the degree of Master of Science in Renewable

List of Figures

Figure 2.2.1 – Generation, Import and Supply of Electricity in Albania (2002 – 2008)

........................................................................................................................................ 8

Figure 2.3.1 – Primary Energy Sources for Electricity Generation in Bhutan .............. 9

Figure 2.4.1 – Iceland‟s Electricity Production for 2009 & 2010 ............................... 11

Figure 2.4.2 – 2010 Geothermal Energy Utilisation .................................................... 12

Figure 2.4.3 – Iceland‟s Geothermal Fields ................................................................. 13

Figure 2.5.1 – Norway Energy Production 2008 ......................................................... 14

Figure 2.6.1 – Paraguay Electricity Exports from 2009 .............................................. 16

Figure 3.1.1 – Diagram of the SWIS Network area ..................................................... 22

Figure 3.2.1 – SWIS Primary Energy Sources ............................................................ 23

Figure 3.2.2 – SWIS Capacity Mix and Load Characteristics ..................................... 26

Figure 3.2.3 – SWIS Composition of Generation Capacity ......................................... 27

Figure 3.3.1 – Energy Consumption in Western Australia .......................................... 28

Figure 3.3.2 – Monthly Generation .............................................................................. 28

Figure 3.3.3 – SWIS Yearly Generation ...................................................................... 29

Figure 3.3.4 – Primary Energy Consumption for Various Sectors in Western Australia

...................................................................................................................................... 30

Figure 3.3.5 – Electrical Energy Consumption for Various Sectors in Western

Australia ....................................................................................................................... 30

Figure 3.4.1 – Projected Assessment of Capacity within SWIS until 2022/23 ........... 32

Figure 3.4.2 – Projected SWIS Capacity Required ...................................................... 33

Figure 3.4.3 – Forecast Energy Consumption under Differing Economic Growth

Scenarios ...................................................................................................................... 34

Figure 4.1.1 – Energy Generation from Solar Radiation ............................................. 35

Figure 4.1.2 – PS10 Solar Power Tower, Spain .......................................................... 36

Figure 4.1.3 – Parabolic Trough Concentrator System ................................................ 38

Figure 4.1.4 – Parabolic Dish Concentrator System .................................................... 39

Figure 4.1.5 – Schematic diagram of Photovoltaic Cell & Circuit .............................. 41

Figure 4.2.1 – Impact of PV on SWIS Peak Demand .................................................. 42

Figure 4.2.2 – Projected Contribution to Peak Demand from Small-Scale PV Over the

Next Decade ................................................................................................................. 43

Figure 4.2.3 – Greenough River Solar Farm (Geraldton, Western Australia) ............. 44

Figure 4.3.1 – Average Solar Resource in Western Australia ..................................... 46

Figure 4.3.2 – Average Monthly Solar Insolation in the SWIS ................................... 48

Figure 4.3.3 – Area required by PV Panels to Power SWIS ........................................ 51

Figure 5.1.1 – Enercon E126 Wind Turbine: 7MW (under construction) ................... 54

Figure 5.2.1 – European Wind Integration into Electricity Grids ................................ 57

Figure 5.2.2 – Portugal Wind Power Growth: 1997 to 2012 ....................................... 58

Figure 5.3.1 – SWIS Major Wind Farm Capacities ..................................................... 60

Figure 5.4.1 – Wind Energy Resource: Australia ........................................................ 61

Figure 5.4.2 – Average Wind Speeds in the SWIS ...................................................... 61

Figure 6.2.1 – CETO Wave Energy System ................................................................ 64

Figure 6.2.2 – CETO Wave Energy Device ............................................................... 65

Figure 6.3.1 – Wave Energy (TJ) per State ................................................................. 67

Figure 6.3.2 – Wave Energy Resource in MW/km ...................................................... 68

Figure 6.3.3 – Australian Wave Energy Resource: Class A Wave Sites ..................... 69

Figure 6.3.4 – Australian Wave Energy Resource ....................................................... 69

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Figure 7.1.1 – Gasification Process Diagram .............................................................. 73

Figure 7.3.1 – Bioenergy Electricity Generation ......................................................... 75

Figure 7.3.2 – Land Use and Bioenergy Facilities in Australia ................................... 76

Figure 7.3.3 – Concentration of Oil Mallee Plantings, 2007 ....................................... 77

Figure 7.3.4 – Potential for Tree Crops on Cleared Land with High salinity .............. 78

Figure 8.2.1 – Wellington Dam Hydro Station ............................................................ 79

Figure 8.3.1 – Tidal Range (m) in Australia ................................................................ 80

Figure 8.4.1 – HDR Temperatures ............................................................................... 82

Figure 8.4.2 – Perth Basin: Temperatures at 5km ....................................................... 84

Figure 10.1.1 – Energy Efficiency Example: Refrigeration ........................................ 93

Figure 10.2.1 – Multiple Benefits of Energy Efficiency ............................................. 94

Figure 10.2.2 – Sectoral Energy Efficiency Paybacks ................................................. 98

Figure 10.3.1 – Impact of Energy Efficiency on Projected SWIS Capacity ................ 99

Figure 11.1.1 – SEN Energy Simulation Main Screen .............................................. 105

Figure 11.2.2 – SEN Scenario 1 Generation Capacities ............................................ 109

Figure 11.2.3 – SEN Scenario 1 Renewable Energy Generation Plants .................... 110

Figure 12.2.1 – Energy Subsidy Values ..................................................................... 116

Page 12: By William Daniel Gardiner BSc - Murdoch University · William Daniel Gardiner BSc A dissertation submitted in partial requirement for the degree of Master of Science in Renewable

List of Tables

Table 2.7.1 – 100% Renewable Energy Projects/Studies ............................................ 17

Table 3.2.1 – SWIS Generation Capacity .................................................................... 24

Table 3.4.1 – Projected Capacity (in MW) required to meet Peak Demand ............... 32

Table 4.3.1 – Average Annual Solar Insolation (kWh/m2/year) .................................. 49

Table 4.3.2 - SWIS Solar Insolation Data.................................................................... 50

Table 4.3.3 – PV Area Required to meet total SWIS Demand .................................... 51

Table 4.3.4 – Land Area required for CST (Power Tower) w/ Molten-Salt Storage .. 52

Table 5.3.1 – Major Wind Farms in the SWIS ............................................................ 59

Table 6.3.1 – Summary of Wave Power & Energy Resource along the SWIS

Coastline ...................................................................................................................... 70

Table 6.3.2 – CETO Wave Energy System Area Required for various SWIS

Capacities ..................................................................................................................... 71

Table 11.2.1 – SEN Simulation Data ......................................................................... 108

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List of Acronyms

ABS Australian Bureau of Statistics

BoM Bureau of Meteorology

BREE Bureau of Resources and Energy Economics

CST Concentrated Solar Thermal

DCCEE Department of Climate Change and Energy Efficiency

EEO Energy Efficiency Opportunities

GHG Green House Gases

GW Giga Watts (Power)

HDR Hot Dry Rock

IEA International Energy Agency

IMO Independent Market Operator

IPCC Intergovernmental Panel on Climate Change

kV Kilo Volt

kWh Kilo Watt Hour (Energy)

MEPS Minimum Energy Performance Standards

MW Mega Watts (Power)

NWIS North West Interconnected System

PV Photovoltaic

RE Renewable Energy

RET Renewable Energy Technology

SEN Sustainable Energy Now

SWIS South West Interconnected System

TWh Terra Watt Hours (Energy)

WMO World Meteorological Organisation

Page 14: By William Daniel Gardiner BSc - Murdoch University · William Daniel Gardiner BSc A dissertation submitted in partial requirement for the degree of Master of Science in Renewable

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Ch.1 Introduction

1.1 Project Aims and Objectives

This dissertation analyses and evaluates the renewable energy resource available in

South-West Western Australia and uses this information to determine if it is possible

to power the SWIS network from 100% renewable energy.

This research will contribute to the growing body of literature, and is intended to:

a) Be used in future studies related to capacity expansion in the SWIS

b) Provide possible renewable energy capacity information back to government

agencies, public interest groups and academic institutions including WA Office

of Energy, Sustainable Energy Now, Murdoch University and others.

To address the aims of this dissertation a number of key questions need to be

answered. These are:

a) Can the current SWIS energy demand be fully met using renewable energy?

b) Could the SWIS be powered by 100% renewable energy for the foreseeable

future assuming current and projected energy consumption trends?

c) What level of energy efficiency and demand management will be required to

assist renewables to meet the SWIS demand in a cost efficient manner for the

foreseeable future?

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1.2 Why Change is Required

Over the history of the Earth, the climate has always been very dynamic. For many

millions of years it has changed in response to such forcings as volcanism, plate

tectonics, solar and orbital change (IPCC 2011). Typically these natural climatic

changes have occurred over timescales of many thousands of years.

There is overwhelming evidence (IPCC 2011) that the accelerated warming of the

earth‟s climate over the past 50 or so years is anthropogenic in nature i.e. human

activities have been the cause. Continual increases in the extraction and consumption

of fossil fuels and land-use changes (deforestation, agriculture) are the two main

anthropogenic factors behind the rise in atmospheric CO2 levels (World

Meteorological Organisation 2013). The consequences of climate change include

increased average global surface temperatures, and increases in average sea levels.

Already there have been significant changes including accelerated ice-cap, glacier &

permafrost melting, sea-level rises, coral bleaching of reefs and increases in severe

weather events such as cyclones and heat-waves (IPCC 2011).

The potential consequences of these changes are wholly dependent on the amount of

greenhouse gases released into Earth‟s atmosphere, both now and in the future.

Renewable energy technologies, along with improved energy efficiency, have been

identified as being vital parts of the solution to rising carbon dioxide emissions and

global climate change (IPCC 2007).

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1.3 What is Required to Bring about Change?

The solution to the issues raised in section 1.2 is a wholesale decarbonisation of

energy supplies by utilising renewable energy instead of fossil fuels. Renewable

primary energy sources can produce energy without causing significant greenhouse

gas emissions and they have the added advantage of being readily available. Each

renewable energy technology, however, has its own positive and negative aspects.

These will be discussed in later chapters.

The uptake of renewable energy can be augmented by an increase in energy efficiency

- arguably the cheapest way to make large carbon emission reductions. It is estimated

that a minimum of 20% energy savings can be achieved from energy efficiency by

targeting low-hanging fruit, that is, opportunities that are low-cost and easily

identifiable such as lighting retro-fits and electric motor controllers (Department of

Resources, Energy and Tourism 2007).

To bring about the required changes of additional renewable energy capacity and

energy efficiency we need strong and robust energy policy. If left to the free market,

it is unlikely that renewable energy and energy efficiency uptake will take place at the

required rate. Government intervention is required to remove barriers and pave the

way forward to a sustainable future.

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1.4 Structure of the Dissertation

The dissertation is structured as follows:

Chapter 1 is this introduction.

Chapter 2 examines the historical precedent for large amounts of renewable energy in

national grid energy mixes. There are many countries that obtain a large percentage

of their primary energy from renewable sources and some that use 100% renewable

energy. This chapter also includes a summary of some of the many projects and

studies that have been completed pertaining to 100% renewable energy systems.

Chapter 3 summarises the South-Western Interconnected System (SWIS). It

examines the current energy mix (both conventional and renewable plant), looks at

historical load profiles and examines projections for future growth.

Chapter 4 focuses on solar power. The impact of both solar PV farms and

concentrated solar systems with storage are discussed. The chapter closes with an

analysis of the solar resource in South-West Western Australia.

Chapter 5 looks at wind power. The chapter closes with an analysis of the wind

resource in South-West Western Australia.

Chapter 6 looks at wave power. The chapter closes with an analysis of the wave

resource in South-West Western Australia.

Chapter 7 examines biomass. An introduction to biomass is followed by a summary of

current biomass projects within the SWIS area. The chapter closes with an analysis of

the biomass resource in South-West Western Australia.

Chapter 8 looks at other alternative renewable energy technologies in the SWIS area

including hydro, tidal and geothermal.

Chapter 9 looks at various forms of energy storage and ascertains their suitability for

the SWIS area.

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Chapter 10 provides an introduction to energy efficiency and looks at current

opportunities available within the SWIS area. It also examines the impact that energy

efficiency can make on projected demand increases in the SWIS.

Chapter 11 looks at the energy simulation software designed for the SWIS by

Sustainable Energy Now. It examines a scenario commissioned by the WA Green

Party and looks at the costs involved and the proposed capacity upgrades.

Chapter 12 asks why we haven‟t acted already if the potential for renewable energy is

so large in the SWIS area. This is followed by an examination of the barriers to

renewable energy that are faced by the SWIS.

Chapter 13 concludes the dissertation and summarises the answers to the key

questions that have been asked.

Chapter 14 contains the appendices.

1.5 Dissertation Limitations

This dissertation focuses on primary energy sources for the generation of electricity

only. As such, issues relating to transportation fuels will not be considered.

This dissertation does not consider the political implications of renewable energy

strategy. Many areas around the world have considerable renewable energy resources

but these have not been developed due to, among other reasons, a lack of political will.

This dissertation does not address the economics of decarbonising the energy supply

system. Its sole focus is on whether or not it is technically possible for the SWIS to

be powered by renewable energy based on the available renewable energy resource.

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Ch. 2 Historical Precedents for Including Large Amounts of Renewable Energy in the Energy Mix for the Electricity Grid

2.1 Introduction

Although most of the world relies heavily on conventional fuels such as coal, gas and

oil as primary energy sources, many countries derive as much as 100% of their

electricity from renewable sources. Almost exclusively, these countries are located in

areas with vast hydro and/or geothermal resources.

The aim of this chapter is to provide a brief summary of some of these countries and

the energy sources which are used for electricity generation only.

There have been many projects completed by various groups aimed at analysing

100% renewable energy systems for individual countries, regional geographies and

the entire world. This chapter closes with a short summary of some of those projects.

2.2 Albania

Located on the Adriatic Sea, Albania is a small country with a population of over 3.5

million inhabitants (Albanian Tourism 2012). Relying almost solely on hydropower,

Albania has, in the past, produced 100% of its electricity requirements from this

resource (National Agency of Energy 2003).

Hydropower is by far the greatest primary energy source in Albania with an estimated

available resource of close to 4500 MW (Ose 2009). Of this resource only 35%, or

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1466 MW, has been developed (Tugu 2009). With complete development of

Albania‟s hydro resource there is the potential to produce between 16 and 18 TWh per

year of energy (Albania: The Profile 2010). With electricity consumption of 5.58

TWh in 2009 (International Energy Agency 2011) there exists the potential to

improve the Albanian national economy and standard of living by becoming a net

electricity exporter.

Recently Albania has relied on electricity imports due to drier than expected winter

seasons and widespread energy-sector corruption (Albania: The Profile 2010).

However they have been energy exporters in the past. Current renewable energy

policy in Albania is focused on increasing the level of hydropower capacity with

greater than 2000 contracts signed between the government and private sectors to

develop a further 450 hydro power plants. The main export market for this electricity

will be Italy (Radio Free Europe 2011).

A challenge faced by Albania is energy security. Although high use of renewable

energy is important in a carbon constrained world, Albania‟s reliance on hydropower

leaves it exposed to the consequences of decreased rainfall due to climate change. As

shown Figure 2.2.1, decreased precipitation levels in 2002 and 2007 resulted in

electricity generation that was nearly 50% less than normal, requiring increased

electricity imports with associated high costs.

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Figure 2.2.1 – Generation, Import and Supply of Electricity in Albania (2002 – 2008)

Source: The World Bank 2013

Efforts to use the valuable hydro resource in Albania more efficiently are underway.

A water resource management system has been implemented whereby all relevant

sectors, including energy, agriculture, sanitation and water-supply, are integrated to

reduce inefficiencies. Albania is also considering new investment into alternative

energy generation technologies including wind and solar (Tugu 2009).

2.3 Bhutan

Completely surrounded by India and China, Bhutan is a country of approx 700,000

inhabitants. Due to its proximity to the Himalaya mountain range Bhutan has a vast

abundance of water for its hydro plants. As shown in Figure 2.3.1, Bhutan is able to

provide for 99% of its electricity generation from hydro-power. The country has 4

major hydro plants, 12 mini-hydro plants and 10 micro-hydro plants (Ogino 2008).

Only 5% of the total potential of Bhutan‟s hydro-power resource has been developed

so far with a further 10,000MW expected to be on-line by 2020 (South Asia Regional

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Initiative for Energy, 2011). At present Bhutan uses only 16.8% of its developed

hydropower resource. The remainder is exported to India under long-term bilateral

contracts (Reegle 2013).

Bhutan - Primary Energy Sources for Electricity Generation

1488.168, 99%

17.164, 1%

Hydro Diesel

Figure 2.3.1 – Primary Energy Sources for Electricity Generation in Bhutan

Source: Energy Policies of Bhutan 2009

Although classified as a renewable resource, there is some concern in Bhutan about

the country‟s dependence on hydro electricity. Seasonal variations in river flows and

the potential impacts of climate change on precipitation are amongst the concerns. In

winter months, for example, Bhutan has resorted to importing energy from India due

to the lack of rainfall (Gyeltshen 2012).

Sources other than hydro are being looked at by the government of Bhutan. While

hydropower resources continue to be developed, other renewable energies such as

solar, wind and biomass are also being considered as alternative electricity generation

measures (Pelden 2010).

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Rather than having one large national electricity grid, Bhutan has many rural mini-

grids that are powered by micro-hydro systems. A common problem in these mini-

grids was brownouts caused by peak loads between 1800 and 2200 hrs overloading

the system. A smart-grid approach has been implemented in several Bhutanese areas

to address this problem by encouraging load shifting (Dorji 2012). As a result the

brownouts have decreased and rural inhabitants have enhanced access to electricity.

2.4 Iceland

Located on the Mid-Atlantic ridge, Iceland is one of the youngest and most

geologically active areas in the world. The abundance of geologic activity in Iceland

gives the country good long-term renewable energy resources; namely hydro-power

and geothermal energy. Iceland‟s electricity generation is almost 100% renewable

with a tiny fraction of a percent supplied by liquid fuel (National Energy Authority

2011). Total dependence on renewable energy however is still some way off due to

the reliance on fossil fuels for transportation on both land and sea.

Like Australia, Iceland has very high per capita electricity consumption. This is due

to its large aluminium smelting industry (National Energy Authority 2011).

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Iceland - Electricity production (GWh)

2009

12279

4553

3

Hydro

Geothermal

Fuel

Icelend - Electricity Production (GWh)

2010

12592

44652

Hydro

Geothermal

Fuel

Figure 2.4.1 – Iceland’s Electricity Production for 2009 & 2010

Source: National Energy Authority 2011

The two main uses for geothermal energy in Iceland are space heating (45%) and

electricity generation (39%) as can be seen in Figure 2.4.2.

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Geothermal Energy Utilisation - 2010

45%

39%

4%4% 4% 2% 2%

Space Heating

Electricity Generation

Swimming Pools

Snow Melting

Fish Farming

Industry

Greenhouses

Figure 2.4.2 – 2010 Geothermal Energy Utilisation

Source: National Energy Authority 2011

There are many high-temperature steam fields in Iceland with temperatures ranging

from 150°C to over 250°C (Figure 2.4.3). High temperature fields are utilised for

electricity generation while lower temperature areas are used directly for space

heating, bathing and greenhouses (Kranz 2007).

Provided it is correctly harnessed, geothermal energy is 100% renewable. It is

important to ensure that only appropriate amounts of heat are removed from a

particular location. If too much heat is removed then the plant will have to close

down for several years to allow a build-up of heat from the earth‟s interior. Because

of the number of high temperature geothermal areas that Iceland has, it does not have

to be concerned about the variability of its primary energy resource or the security of

its supply.

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Figure 2.4.3 – Iceland’s Geothermal Fields

Source: Sveindottir 2011

Iceland has no grid connection or reliability issues as a result of its use of renewable

energy. This is a consequence of the fact that 100% of its electricity comes from

renewable energy and does not need to compete with a fossil fuel based transmission

and distribution system.

Iceland is in the fortunate position of having abundant renewable resources and a

small population. It has proved that it is possible to have an electricity generation

system that runs on 100% renewable energy.

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2.5 Norway

Norway ranks in the world‟s top ten for generation of energy from hydro sources (127

TWh per year) and installed hydro capacity (30 GW) (International Energy Agency

2011). They are also the world‟s top-ranked in terms of the percentage of hydro in

domestic electricity generation (95.7%) (International Energy Agency 2011). The

Norwegians have signified their commitment to combating climate change by way of

the Norwegian Energy Act which requires grid operators to connect renewable energy

plants to their networks, even if it requires an upgrade to the grid system (Hafslund

2013).

Energy Production in Norway (GWh) 2008

140522, 98%

1228, 1%917, 1%

Hydro

Thermal

Wind

Figure 2.5.1 – Norway Energy Production 2008

Source: Norwegian Water Resources and Energy Directorate 2009

Although Norway‟s electricity generation capacity is about 98% renewable energy

(Norwegian Water Resources and Energy Directorate 2009) (Figure 2.5.1), the

majority is produced for the export market. As a result, internal consumers in 2010

had a mix of only 36% renewable energy to 64% fossil fuel.

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The tidal turbine industry has a developer/producer located in Norway called

Hammerfest Strom. An experimental turbine with a 300 kW capacity was installed in

northern Norway and collected data from 2003 to 2009. This was the first turbine of

its design anywhere on Earth (Hammerfeststrom 2012). Working in a similar way to

wind turbines, the tidal turbine blades rotate as tidal water passes over, extracting

energy from the water. Tidal turbines have the advantages of being a completely

predictable source of renewable energy, being able to extract energy on both the ebb

and flow tides and not requiring barrage dams.

2.6 Paraguay

Paraguay is another country that is able to supply 100% of its electricity requirement

with renewable energy. This comes predominantly from three large hydroelectric

plants (two of which are shared with Argentina and Brazil) including Itiapu, which at

14,000MW is the largest hydro electricity generating dam in the world (Bohn 2011).

As of 2009, Paraguay had a total installed hydro-power capacity of 8,766MW which

vastly exceeds the peak demand of 1,800MW (Reegle 2013).

Paraguay is the world‟s third largest exporter of electricity due to its developed hydro

capacity. Electricity accounts for close to 20% of total exports (Reegle 2013). The

vast majority of electricity exports are to Brazil with the remainder to Argentina as

shown in Figure 2.6.1.

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Paraguay Electricity Exports (GWh)

20096,283

38,390

Argentina Brazil

Figure 2.6.1 – Paraguay Electricity Exports from 2009

Source: Bohn 2011

It is expected that, although Paraguay has a good solar energy resource (5.0 – 5.5

kWh/m2/day), solar will only ever play a minor part in the electricity generation mix.

This is due primarily to the abundance of hydro which provides all of Paraguay‟s grid

electricity. Solar PV may still play a part in rural areas that are far from existing grid

networks (Bohn 2011) and it is anticipated that biomass and biofuels will play an

increasingly important role in replacing liquid fuels such as oil in the future.

2.7 100% RE Projects & Studies

There have been many projects aimed at determining whether or not various areas can

operate their grid networks on 100% renewable energy. Individual projects differ in

respect of geographical scope (national/worldwide) and in terms of energy services

considered (electricity generation only, electricity generation plus transportation). A

brief summary of the projects examined for this dissertation are shown below in Table

2.7.1.

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Table 2.7.1 – 100% Renewable Energy Projects/Studies

Title Author Geographical

Area Release

Date

Climate 2030: A National Blueprint for a Clean Energy Economy

Union of Concerned Scientists U.S.A 2005

The First Step towards a 100% Renewable Energy System for

Ireland

D. Connolly, H. Lund, B.V.Mathiesen, M. Leahy

Ireland 2010

Providing all Global Energy with Wind,

Water and Solar: Parts I and II

Mark Z. Jacobson; Mark A. Delucchi

Global 2010

Planning for 100% Renewable Energy

Australian Green Party Australia 2010

ReThinking 2050 European Renewable Energy

Council Europe 2010

Zero Carbon Australia: Stationary Energy Plan

Beyond Zero Emissions Australia 2010

The Energy Report: 100% Renewable Energy by 2050

World Wildlife Fund Global 2011

2050 Desert Power Eurpoean Desertec Industrial

Initiative

Europe, Middle East, North

Africa 2012

Simulations of Scenarios with 100%

Renewable Electricity in the Australian National

Electricity market

Ben Elliston, Mark Diesendorf, Iain MacGill

Australia - National

Electricity Market

2012

100% Renewable Energy: A Roadmap to

2050 for Euope and North Africa

Price Waterhouse Coopers Europe, North

Africa na

The 2050 Desert Power project, commissioned by several large industrial companies,

is aimed at reducing the greenhouse gas (GHG) emissions from the European grid by

2050 (European Desertec Industrial Initiative 2012). As such it is a project that

focuses on electrical energy generation only. It proposes to use the vast wind and

solar resources from Northern Africa, the Middle East and Southern Europe to power

not only those areas but also the remainder of Europe. The report concluded that not

only would this be possible with the renewable resources available but electricity

costs would be reduced and the grid networks would be made more stable (European

Desertec Industrial Initiative 2012).

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Beyond Zero Emissions is an Australian group that released the Zero Carbon

Australia Stationary Energy Plan in 2010 (Wright 2010). This highly detailed project

looks at replacing Australia‟s vast fossil-fuel based electricity networks with 100%

renewable energy using a combination of energy efficiency, wind and concentrated

solar thermal with storage. Separate plans have been drawn up for the transformation

of transportation energy usage, building energy consumption and reduction of

emissions from land use changes. A major focus of the initial project was the strict

requirement to use technologies that are only commercially available now. This

project concluded that with the appropriate policy instruments in place, a

transformation to a 100% renewable energy supply could feasibly be achieved in the

10 years between 2010 and 2020.

The 2011 Jacobson and Delucchi paper, Providing all Global Energy with Wind,

Water and Solar: Parts I & II, is a study of the possible transformation of all global

energy services from current generation technologies to 100% wind, water and solar

based technologies (Delucchi and Jacobson 2011). The two papers published provide

a detailed analysis of the required technologies, energy resources and quantities,

system reliabilities and costs and energy policies required to make it happen. Their

estimation of the technology required to power the entire planet‟s energy requirement

comes to:

3,800,000 x 5MW wind turbines, and

49,000 x 300MW concentrated solar plants, and

40,000 x 300MW solar PV plants, and

1,700,000,000 x 3kW rooftop PV systems, and

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5,350 x 100MW geothermal power plants, and

270 x 1,300MW hydro plants, and

720,000 x 0.75MW wave energy conversion devices, and

490,000 x 1MW tidal turbines

(Delucchi and Jacobson 2011)

Delucchi and Jacobson (2011) contend that it is necessary for energy generation

technologies to change and that the majority of new generation capacity can be

installed by 2030 and all existing generation can be replaced by 2050. They have

estimated that the available wind and solar resource in developable areas exceeds the

projected power demand by greater than an order of magnitude (Delucchi and

Jacobson 2011).

2.8 Conclusions

This chapter has provided an overview of the energy supply systems of several of the

countries that operate electricity networks on close to 100% renewable energy.

Typically located in geographical regions that have a large geothermal and/or hydro

resource, these countries have made use of very mature generation technologies over

many decades and have well established infrastructure. It has also been shown that

although a country may generate 100% of its electricity from renewable energy, there

may still be energy security issues when the majority of generation is from one

technology, such as hydro. This is seen in Albania and Bhutan where reduced rainfall

results in those countries becoming electricity importers.

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The chapter has also given a brief summary of some of the many 100% renewable

energy studies conducted, regionally and internationally. The consensus from these

studies is that change does need to take place and that it is possible to replace existing

electricity generation facilities with cleaner, renewable energy based systems.

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Ch. 3 Outline of the SWIS Network

3.1 Introduction to the South-West Interconnected System (SWIS)

Western Australia‟s electricity infrastructure consists of one large grid called the

South-West Interconnected System, or SWIS, one smaller grid (the North-West

Interconnected System, or NWIS) and dozens of smaller regional systems (minigrids).

The SWIS is a generation, transmission and distribution network in South-West

Western Australia. Stretching North from Albany, West from Kalgoorlie and South

from Kalbarri the SWIS encompasses a total area of 261,000 square km (Western

Power, 2013). It contains “more then 140 major substations, 6000km of transmission

lines (66kV and above) and over 64,000km of distribution lines (33kV and below)”

(Department of Finance 2013). It supplies around half of the total electricity

consumption in Western Australia and has a generation capacity in 2011/12 of about

5500 MW (Independent Market Operator 2012).

One of the most unique features of the SWIS is its isolation. The nearest major

electricity network is over 1500km away and so all of the power requirements from

within the SWIS network must be generated without any outside assistance. This

makes it a unique electricity network when compared with others in Eastern Australia,

Europe and the USA.

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Figure 3.1.1 – Diagram of the SWIS Network area

Source: ERAWA 2013

3.2 Primary Energy Sources within SWIS

The majority of energy generation within the SWIS is fossil fuel based from coal and

natural gas power plants. Baseload capacity is provided mainly by coal-fired plants

(located at Kwinana, Muja and Collie) with some gas plant backing. Gas, liquid and

gas-liquid plants provide peak load capacity. Appendix A shows the energy

infrastructure for the SWIS area.

Western Australia is endowed with vast resources of coal and natural gas - the

combination of which, according to the Independent Market Operator, supplies 92%

of the State‟s energy generation. The remaining 8% is renewable energy generation.

Of this, 7% is generated from wind and 1% from landfill gas, PV, hydro and sewage

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gas. Figure 3.2.1 shows the capacity percentages of the primary energy sources in the

SWIS network.

South-West Interconnected System - Primary Energy Sources

7.11%

0.43%

0.18%

0.04%

0.03%

7.78%

40.93%

51.29%

Coal

Gas

Wind

Landfill Gas

PV

Hydro

Sewage Gas

Figure 3.2.1 – SWIS Primary Energy Sources

Source: Independent Market Operator n.d.

The reliance on fossil-fuel generated electricity throughout the SWIS network is due,

in part, to the abundance of fossil-fuel energy resources in Western Australia. These

include:

1) Coal – greater than 200 years resource remaining at current production

levels.

2) Natural Gas – Over 136 trillion cubic feet of gas, 120 years at current

consumption levels.

Source: Future Directions International 2010, Australia‟s Energy Future 2010

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There is a great deal of investment in the legacy infrastructure involved in the region‟s

current generation systems making it difficult to replace it with newer and more

efficient electricity generation plants. A list of current generating plants within the

SWIS area is presented in Table 3.2.1

Table 3.2.1 – SWIS Generation Capacity

Source: Independent Market Operator n.d. Generating Plant Capacity (MW) Fuel

Collie 300 Coal

Kwinana 640 Coal

Muja 854 Coal

Worsley Alumina 107 Coal

Bluewaters (Collie) 416 Coal

Cockburn 240 Natural Gas

Kambalda 42 Natural Gas

Kalgoorlie 42 Natural Gas

Kemerton (Transfield) 261 Natural Gas

Kwinana 21 Natural Gas

Kwinana - BP Refining 120 Natural Gas

Kwinana - NewGen[1] 320 Natural Gas

Kwinana - Tiwest 36 Natural Gas

Mungarra 112 Natural Gas

Neerabup 330 Natural Gas

Parkeston 110 Natural Gas

Pinjar 576 Natural Gas

Pinjarra Alumina Refinery, Alcoa Australia / AGL 280 Natural Gas

Worsley Alumina 120 Natural Gas

Capel (Iluka Resources) 7 Natural Gas

Kwinana Alumina Refinery, Alcoa Australia 75 Natural Gas

Pinjarra Alumina Refinery, Alcoa Australia 95 Natural Gas

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Wagerup Alumina Refinery, Alcoa Australia 98 Natural Gas

Atlas (Mirrabooka) 1 Landfill Gas

Canning Vale 4 Landfill Gas

Carnarvon 15 Natural Gas

Dongara 2 Natural Gas

Henderson (Wattleup) 2 Landfill Gas

Kalamunda 2 Landfill Gas

Kelvin Road, Gosnells 2 Landfill Gas

Leonora 3 Natural Gas

Millar Road, Rockingham 2 Landfill Gas

Red Hill 4 Landfill Gas

South Cardup 3 Landfill Gas

Tamala Park 5 Landfill Gas

Woodman Point 2 Sewage Gas

Albany 35 Wind

Alinta (Walkaway Wind Farm) 90 Wind

Emu Downs 79 Wind

Nine Mile Beach 4 Wind

Ten Mile Lagoon 2 Wind

Collgar Wind Farm 206 Wind

Greenough River Solar Farm 10 PV

Wellington Dam 2 Hydro

Despite Western Australia‟s preponderance of coal and natural gas, the electricity

generation mix within the SWIS network has changed somewhat in recent years

particularly in the renewable energy area. Several wind farms for instance have been

built and/or upgraded and a solar PV farm commissioned.

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Figure 3.2.2 shows how the SWIS generation capacity mix has changed since 2007.

Additional baseload capacity was added until 2009/10 and has stayed constant since

then. Peaking capacity has steadily increased since 2007, likely due to increases in

installed air-conditioning.

Figure 3.2.2 – SWIS Capacity Mix and Load Characteristics

Source: Independent Market Operator 2012

Figure 3.2.3 shows the percentage that each type of generation capacity occupied in

the SWIS network over the past 8 years. As mentioned earlier, the majority is from

coal and gas. Dual-capacity plants, including coal/gas and gas/liquid, form a large

percentage of capacity also. The share of renewable energy has increased each year

but remains low.

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Figure 3.2.3 – SWIS Composition of Generation Capacity

Source: Independent Market Operator 2012

3.3 History of Energy Consumption in the SWIS

Figure 3.3.1 from the Australian Bureau of Statistics (ABS 2012) shows the growth in

total energy consumption in Western Australia since the 1989-90 financial year.

Although this includes the entire state, and thus is inclusive of the large mining users

and the North-West Interconnected System, there has been growth of over 100% in

total energy consumption over the 20 year period from 1990 to 2010.

Electricity consumption within the SWIS network has increased by over 10% in the 5

years from 2007 to 2012 (Independent Market Operator 2012) (an annual rate of

consumption growth of 2%).

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Figure 3.3.1 – Energy Consumption in Western Australia

Source: ABS 2012

Figure 3.3.2 shows the average monthly generation for the SWIS between 2006 and

2012. The trend line clearly shows that the average generation has increased from

about 1350GWh to over 1500GWh per month.

SWIS - Total Monthly Generation (GWh)

1200

1300

1400

1500

1600

1700

1800

Aug

-06

Mar

-07

Sep

-07

Apr

-08

Oct-0

8

May

-09

Dec-

09

Jun-

10

Jan-

11

Jul-1

1

Feb-1

2

Aug

-12

Figure 3.3.2 – Monthly Generation

Source: Independent market Operator 2012

Figure 3.3.3 shows yearly generation within the SWIS. There has been a 10.04%

increase in generation between 2006 and 2012 due in large part to increased uptake of

air conditioning and population growth (Independent Market Operator 2012).

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Figure 3.3.3 – SWIS Yearly Generation

Source: Independent Market Operator 2012

Figure 3.3.4 shows the primary energy consumption (electricity, liquid, gas and solid

fuels) in Western Australia. The major energy consuming sectors are electricity

generation, transport and the mining, manufacturing and construction sectors.

Contributions from residential, agricultural and commercial areas are negligible.

Consumption patterns between 2005/06 and 2010/11 retain similar profiles with

expected increases in each sector.

Primary Energy Consumption (PJ) Western Australia

0100

200300400500

600700

Agriculture

&

Fore

str

y

Min

ing,

Manufa

ctu

ring

&

Constr

uction

Energ

y S

upply

(Ele

ctr

icity,

Gas)

Tra

nsport

(Road,

Rail,

Air,

Wate

r)

Com

merc

ial

Resid

ential

En

erg

y C

on

su

mp

tio

n (

PJ)

2005-06 PJ

2006-07 PJ

2007-08 PJ

2008-09 PJ

2009-10 PJ

2010-11 PJ

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Figure 3.3.4 – Primary Energy Consumption for Various Sectors in Western Australia

Source: BREE 2012

Figure 3.3.5 relates electrical energy consumption only. Mining, manufacturing and

construction still consume the vast majority of electricity but the commercial and

residential sectors have increased their share.

Electrical Energy Consumption (PJ) Western Australia

010

20304050

6070

Agriculture

,

Fore

str

y

Min

ing,

Manufa

ctu

ring

&

Constr

uction

Energ

y S

upply

(Ele

ctr

icity,

Gas)

Tra

nsport

(Road,

Rail,

Air,

Wate

r)

Com

merc

ial

Resid

ential

Ele

ctr

icit

y C

on

su

mp

tio

n (

PJ)

2005-06 PJ

2006-07 PJ

2007-08 PJ

2008-09 PJ

2009-10 PJ

2010-11 PJ

Figure 3.3.5 – Electrical Energy Consumption for Various Sectors in Western Australia

Source: BREE 2012

3.4 Projections for Future Growth

As shown above, energy consumption within the SWIS has doubled over the past 2

decades driven by population growth and the expansion of our energy-intensive

industries (Office of Energy 2011). The pressure placed on the energy generators

within the SWIS will continue to increase as the region‟s population is forecast to

grow from 2.2M (2009) to 2.8M (2031) (Office of Energy 2011).

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It is expected that Western Australia will experience the country‟s highest growth in

primary energy consumption between now and 2035 (Penney 2011). This is due to

strong economic growth, underpinned by the mining sector, population expansion and

high levels of export activity. Yearly energy consumption growth is expected to be

higher in Western Australia compared with other States due to increased mining and

gas extraction (Australia‟s Energy Future 2011. The 2012 IMO Statement of

Opportunity gives the projected increase in capacity required to meet peak demand

until 2022/23. This is reproduced in Table 3.4.1 below. An explanation of the four

categories follows:

1) Maximum Demand – This is the peak demand expected for the period

2) Reserve Margin – This is a reserve capacity and is equal to 8.2% of the

Maximum Demand

3) Load Following – This is generation capacity that can adjust its output to

reflect changes in the network demand

4) Intermittent Load – Generation capacity occurring at irregular intervals

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Table 3.4.1 – Projected Capacity (in MW) required to meet Peak Demand

Source: Independent Market Operator 2012

Year Maximum

Demand

Reserve

Margin

Load

Following

Intermittent

Load Total

2012/13 4,460 366 90 15 4,931

2013/14 4,659 382 90 15 5,146

2014/15 4,804 394 95 15 5,308

2015/16 4,950 406 100 16 5,472

2016/17 5,135 421 105 16 5,677

2017/18 5,290 434 110 16 5,850

2018/19 5,419 444 115 16 5,994

2019/20 5,563 456 120 17 6,156

2020/21 5,711 468 125 17 6,321

2021/22 5,859 480 130 17 6,486

2022/23 5,990 491 135 17 6,633

This expected capacity expansion is illustrated in Figure 3.4.1.

Figure 3.4.1 – Projected Assessment of Capacity within SWIS until 2022/23

Source: Independent Market Operator 2012

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The average yearly capacity increase from the projection above is 3.1%. When this

average capacity increase value is projected out to 2049/50, a pronounced upward

trend becomes clear, as shown below in Figure 3.4.2.

Long Term Projected Assessment of Capacity Required within the

SWIS

4,000

8,000

12,000

16,000

2012

/13

2016

/17

2020

/21

2024

/25

2028

/29

2032

/33

2036

/37

2040

/41

2044

/45

2048

/49

Cap

acit

y (

MW

)

Figure 3.4.2 – Projected SWIS Capacity Required

Source: Independent Market Operator 2012

The Independent Market Operator has assessed projected energy consumption based

on high and low economic growth scenarios. As shown in Figure 3.4.3, under a high

economic growth scenario, it is expected that annual energy consumption will

increase by 56.3% to be just over 27,000 GWh by 2022/23. Assuming a low

economic growth scenario, the energy consumption for that same year will be 19,000

GWh, an increase of 7.3% over current generation (Independent Market Operator

2012).

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Figure 3.4.3 – Forecast Energy Consumption under Differing Economic Growth Scenarios

Source: Independent Market Operator 2012

3.5 Conclusions

This chapter has shown that energy consumption in the SWIS region has grown by

just over 10% in the past 5 years and is projected to increase by as much as 56% in

the next 11 years under a high economic growth scenario. There is the potential for

an increase of 300% by 2049/50. This will require the construction of enormous

amounts of generation capacity as well as upgrades to the transmission and

distribution system. The use of energy efficiency (discussed in chapter 9) could bring

this energy consumption down and somewhat negate the need for some extra capacity.

To determine whether or not renewable energy can cover this demand, we first need

to look at the renewable energy resource in the SWIS area.

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Ch.4 Solar

4.1 Introduction to Solar Energy

Solar energy is produced by the sun and can be harnessed for use on the Earth.

Nuclear fusion reactions in the sun convert over 6 million tonnes of hydrogen to

helium each second and, in the process, electromagnetic radiation is emitted.

Electromagnetic radiation includes visible light, infrared radiation (which we detect as

heat) and ultraviolet light.

There are two fundamental technologies which can convert solar energy to forms that

we can use to do work:

1) Solar thermal

2) Solar photovoltaics

Figure 4.1.1 – Energy Generation from Solar Radiation

Source: Geoscience Australia 2010

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Solar Thermal

Solar thermal - Figure 4.1.1 - can either be used directly (i.e. water heating) or

indirectly to generate electricity.

There are several high-temperature solar thermal technologies that use the sun‟s heat

to generate electricity. Collectively these are known as concentrated solar thermal

(CST) or concentrated solar power. Three mature technologies in use today are solar

power towers, parabolic trough concentrator systems and parabolic dish concentrator

systems.

1) Solar Power Towers

This design uses a vast field of heliostats (flat, movable mirrors) to collect and focus

the sun‟s light onto a central tower. Figure 4.1.2 shows the central tower and

auxiliary equipment surrounded by the heliostat field.

Figure 4.1.2 – PS10 Solar Power Tower, Spain

Source: Solar Thermal 2008

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The heliostats have dual-axis trackers so they can follow the path of the sun and direct

the solar energy to the top of the tower. Dual-axis tracking makes this technology

more efficient than other concentrated thermal systems with the exception of solar

dishes which can also track in two directions. A „working fluid‟ is pumped through a

receiver at the top of the tower and the fluid is raised to a temperature of around

500°C. Other technologies propose to use air as the heat-transfer fluid and it is

anticipated that temperatures will reach 700°C (Boyle 2004).

Several countries have made significant use of solar power towers. One of the largest

systems will be the Ivanpah Solar Electric Generating System in California, USA.

Scheduled for completion in 2013, this generating facility will consist of three

separate solar towers with a total capacity of 392MW (NREL 2012). The total area of

the solar field will be 3500 acres. Spain has several solar power towers in operation

including a 20 MW PS20 solar plant and a 11 MW PS10 plant.

2) Parabolic Trough Concentrator Systems

This is the most mature of the CST technologies. A CST trough system consists of

long rows of parabolic mirrors which focus the solar insolation onto a pipe (Figure

4.1.3). A working fluid is pumped through the pipe (usually synthetic oil) and heated

to around 400°C. The heat from the fluid is transferred to water to create steam,

which is then used in a turbine/generator to generate electricity.

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Figure 4.1.3 – Parabolic Trough Concentrator System

Source: PV Tech 2013

These systems are inherently inefficient when they are located at high latitudes

because they can only track the sun‟s motion in one direction (typically North-South).

This results in the mirror‟s surface being at a sub-optimal angle to the sun for the

majority of the time.

There are many large trough CST plants around the world. The largest is the

354MW Solar Energy Generating System in California, USA (Solaripedia 2013).

This collection of nine parabolic trough systems is sited in the Mojave Desert where

the insolation levels are amongst the best in the USA. The system does not contain a

storage mechanism, but can generate electricity during the hours of darkness by

burning natural gas in its turbines (Solaripedia 2013).

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3) Parabolic Dish Concentrator Systems

This technology is similar to the parabolic trough concentrator system but differs in

focusing the sun‟s light onto a focal point rather than a trough (Figure 4.1.4). This

type of generating system can track the movement of the sun in two dimensions and

hence is more efficient than its parabolic trough counterpart.

Figure 4.1.4 – Parabolic Dish Concentrator System

Source: Myriad Power 2013

As with other electricity generation technologies, solar thermal power has advantages

and disadvantages.

1) Advantages of Solar Thermal Electricity

Uniform and reliable power supply – power can be generated 24 hours per day

with systems that have integrated storage in the form of molten salts

Zero fuel cost and unlimited fuel supply

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Higher level of efficiency than photovoltaics due to solar concentration

2) Disadvantages of Solar Thermal Electricity

Water consumption – water for plant cooling systems is an issue in the desert

areas where these plants are typically located. There are non-water cooling

systems available but these increase the capital cost.

Direct solar insolation only - Solar technology can utilise only direct solar

insolation; diffuse irradiance will provide no benefit.

Location and size – due to the requirement for areas with high solar insolation,

deserts are the best locations for this technology. This increases the

transmission costs for the electricity. Solar thermal is also only cost effective

in large installations.

Additional complexity due to either single or dual axis tracking

Higher maintenance costs

Solar Photovoltaics

Solar photovoltaics (PV) is a completely different technology to solar thermal. Solar

thermal uses the heat and light from the sun to generate electricity, solar photovoltaics

uses shorter wavelength electromagnetic radiation to directly generate electricity via a

solid-state semiconductor device.

PV cells are made of two or more layers of a semiconductor material doped with extra

positive or negative charges. When the sun‟s light hits the cell, photons are absorbed

which release electrons from the negative layer of the semiconductor. The freed

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electrons travel as an electric current through an external circuit back to the positive

semiconductor (Figure 4.1.5).

Figure 4.1.5 – Schematic diagram of Photovoltaic Cell & Circuit

Source: BHA Solar 2013

PV cells are wired into modules to increase both the current and voltage produced.

Modules can then be connected into panels and arrays to increase the energy output.

Panels are mounted north-facing (in the southern hemisphere) at a set angle or they

can be mounted on tracking platforms (single or dual-axis) to collect more sunlight

and increase the yield.

The world‟s largest grid-connected PV system is a 250MW plant in Arizona, USA.

Its total capacity when completed in 2014 will be 397MW. The area required for this

PV farm is under than 10 square km (First Solar 2013).

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4.2 Solar Power in the SWIS

The use of solar power for electricity generation in the South West Interconnected

System (SWIS), an isolated power system in the South-Western part of Western

Australia, is limited to photovoltaics only at this stage. At present, there are no solar

thermal power plants in operation. The solar photovoltaic capacity is limited to small

residential sized systems with only one large utility-scale PV farm (discussed below).

As at December 2011, Perth had 93,914 roof-top PV systems with the average size

being 1.92 kW (Jones 2012). This gives a total capacity of around 180.3 MW. Solar

thermal in the SWIS is limited to residential rooftop solar thermal hot water systems.

Western Power has calculated the reduction in peak demand in the SWIS due to

photovoltaic system installations to be 0.62% (24MW) in 2011. It has estimated that

reduction in peak demand by 2017 will increase to 2.95% (135MW) (Western Power

2011. This is illustrated in Figure 4.2.1.

Impact of PV Generation on Peak Demand in SWIS

4000

4100

4200

4300

4400

4500

4600

4700

2013 2014 2015 2016 2017

Peak D

em

an

d (

MW

)

Forecast Peak (MW) Revised Peak w/ PV Generation (MW)

Figure 4.2.1 – Impact of PV on SWIS Peak Demand

Source: Western Power 2013

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The Independent Market Operator (IMO) has forecast a significant contribution from

residential PV systems in the SWIS over the next 10 years (Figure 4.2.2). The spread

of results between possible low and high scenarios of 160MW to 200MW is due to

likely changes in government policy and expected downward price movement for PV

modules.

Figure 4.2.2 – Projected Contribution to Peak Demand from Small-Scale PV Over the Next Decade

Source: Independent Market Operator 2012

Australia‟s first utility-scale solar PV farm was recently completed at Greenough

River, Geraldton. Located within the SWIS area, this 0.5 km² solar farm is currently

10MW in size with plans to increase the capacity to 40MW (Greenough River Solar

Farm 2013).

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Figure 4.2.3 – Greenough River Solar Farm (Geraldton, Western Australia)

Source: Greenough River Solar Farm 2013

The farm is comprised of 150,000 First Solar thin-film photovoltaic panels making

use of cadmium telluride (CdTe) instead of the more common silicon. The

advantages of CdTe include increased conversion efficiency at higher cell

temperatures, lower cost and more efficient conversion of diffuse light levels

(Greenough River Solar Farm 2013).

The energy generated from Greenough will be enough to power 3,000 homes and

offset 20,000 tonnes of greenhouse gas per annum. The power produced will be

purchased by the Southern Seawater Desalination Plant which produces over 50

billion litres of drinking water per year (Water Corporation 2013).

There is also a proposal to construct an even larger PV power plant in Kalgoorlie.

Construction of the 50MW power plant is expected to begin in early 2014 (Howe,

2013). There are, however, calls for the project technology to be switched to

concentrated solar thermal to enable molten salt storage of the generated electricity.

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Australian renewable energy company, Solastor, is currently undertaking final

feasibility studies for the construction of a 3MW solar thermal plant in Morawa

(Solastor 2013). The Solastor proposal differs from other solar power towers in that

the heat storage medium is a block of solid graphite located at the top of the tower.

The graphite is sized to contain enough thermal energy to be able to generate 3 MWh

of electrical energy (Solastor, 2013). The system is modular with each tower and

heliostat field being one module. Four modules will fit onto one hectare of land.

4.3 Analysis of Solar Resource in the SWIS

Depending on the solar technology in question, there are a number of parameters that

are required for a full solar assessment. These include, but are not limited to:

1) Solar insolation levels – both direct and diffuse (diurnal, monthly, annually)

2) Potential shading

3) Meteorological data

a. Temperature profiles (diurnal, monthly, annually)

b. Wind speed

c. Precipitation

d. Cloud cover

4) Existing land use and area available

5) Proximity to transmission facilities

6) Financial considerations

7) Environmental sensitivities and social impacts

Figure 4.3.1 below, from the Independent Market Operator, shows the average solar

resource across Western Australia. Diagram (a) indicates that insolation (incident

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solar radiation) values in the SWIS area range from about 15 to 22 MJ/m2/day while

diagram (b) shows peak insolation values in summer are above 27 MJ/m2/day.

(a) Average annual solar resource (b) Average January solar resource

Figure 4.3.1 – Average Solar Resource in Western Australia

Source: Roam Consulting 2010

Figures 4.3.2 show the average monthly solar insolation values for four locations

within the SWIS network:

1) Perth metro (Mt Lawley) – BoM site #9225

2) Kalgoorlie – BoM site #12038

3) Geraldton – BoM site #8051

4) Albany – BoM site #9741

All data values in these graphs were taken from the Bureau of Meteorology website

and can be found in Appendix B.

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Average Monthly Solar Insolation (MJ/m2/day)

Perth Metro - BoM Site #9225

5

10

15

20

25

30

35

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

(MJ

/m2/d

ay)

2006 2007 2008 2009 2010 2011 2012

Average Monthly Solar Insolation (MJ/m2/day)

Kalgoorlie - BoM Site #12038

5

10

15

20

25

30

35

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

(MJ

/m2

/da

y)

2006 2007 2008 2009 2010 2011 2012

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Average Monthly Solar Insolation (MJ/m2/day)

Geraldton - BoM Site #8051

5

10

15

20

25

30

35

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

(MJ

/m2

/da

y)

2006 2007 2008 2009 2010 2011 2012

Average Monthly Solar Insolation (MJ/m2/day)

Albany - BoM Site #9741

5

10

15

20

25

30

35

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

(MJ

/m2

/da

y)

2006 2007 2008 2009 2010 2011 2012

Figure 4.3.2 – Average Monthly Solar Insolation in the SWIS

Source: Bureau of Meteorology 2013

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Dawson and Schlyter (2012) claim that the minimum amount of solar insolation

required for concentrated solar thermal plants is 2000 kWh/m2/year. With this in

mind, the average annual solar insolation from the four sites above was converted

from MJ/m2/day to kWh/m

2/year - Table 4.3.1.

Table 4.3.1 – Average Annual Solar Insolation (kWh/m2/year)

Source: Bureau of Meteorology 2013

Perth Metro Kalgoorlie Geraldton Albany

MJ/m2/day

kWh/m2/Yr

MJ/m2/day

kWh/m2/Yr

MJ/m2/day

kWh/m2/Yr

MJ/m2/day

kWh/m2/Yr

2006 19.5 1979.3 20.0 2032.3 21.0 2132.2 16.4 1664.1

2007 20.1 2042.1 20.8 2112.8 21.8 2213.0 17.1 1732.0

2008 20.6 2088.3 20.8 2103.8 21.6 2191.9 17.4 1760.2

2009 21.6 2185.8 21.8 2211.6 22.6 2290.5 18.9 1921.1

2010 21.8 2211.2 21.9 2220.6 22.4 2266.6 18.8 1902.7

2011 20.8 2105.7 19.9 2021.0 21.6 2193.1 17.7 1793.9

2012 18.3 1850.8 19.6 1986.4 20.4 2067.6 16.5 1674.8

Based on Dawson and Schytler‟s (2012) 2000 kWh/m²/year limit, Table 4.4.1 above

shows that Perth, Kalgoorlie and Geraldton all have an excellent solar resource that is

applicable to both solar PV and CST technologies.

Using the data from Figure 4.3.2 we can calculate the area required to cover our

energy requirement for a single year if we were to use solar PV technology.

Considering Perth, Geraldton and Kalgoorlie only, Table 4.3.2 shows the monthly

solar insolation values for 2011. We know from Table 4.3.1 that Geraldton has the

best insolation levels of the SWIS locations considered and this result is reflected in

the monthly values shown in Table 4.3.2.

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Table 4.3.2 - SWIS Solar Insolation Data

Source: Bureau of Meteorology 2013

Solar Insolation Data (kWh/m2/day)

Location Perth Kalgoorlie Geraldton

Jan 8.24 7.70 7.73

Feb 7.96 5.69 7.43

Mar 6.99 6.14 7.08

Apr 5.20 5.10 5.38

May 3.87 3.53 4.28

Jun 3.03 3.10 3.48

Jul 2.91 3.14 3.33

Aug 3.87 4.26 4.30

Sep 4.96 5.79 5.88

Oct 6.15 5.76 6.50

Nov 7.86 8.48 8.35

Dec 8.20 7.74 8.35

Average 5.77 5.54 6.01

As previously noted, the energy consumption for 2012 in the SWIS was 17,617 GWh.

Figure 3.4.4 from the previous chapter shows the expected energy required by the

SWIS for the year 2022 as being 21,277 GWh. The monthly energy consumption for

2022 was calculated by determining the ratio between monthly and total consumption

from 2012 and applying that to the total value from 2022. Table 4.3.3 shows the area

required if the total demand is to be met by solar PV for both the 2012 values and also

the expected 2022 values.

The maximum area required is 562 km² of PV panels. This is equivalent to an area

with sides of 26.8 km in length, shown in Figure 4.3.3. To put this in perspective, an

area equal to 156 times the area of Kings Park is required.

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Table 4.3.3 – PV Area Required to meet total SWIS Demand

2012 2022

GWh Area (km2) GWh Area (km2)

Jan 1738 224.82 2099 271.53

Feb 1582 212.94 1911 257.18

Mar 1576 222.64 1904 268.90

Apr 1378 256.19 1665 309.41

May 1463 341.40 1767 412.33

Jun 1461 420.31 1764 507.63

Jul 1549 465.65 1871 562.39

Aug 1502 349.22 1814 421.77

Sep 1354 230.22 1636 278.05

Oct 1404 215.94 1696 260.80

Nov 1304 156.13 1575 188.57

Dec 1304 156.16 1575 188.60

TOTAL 17617 21277

Figure 4.3.3 – Area required by PV Panels to Power SWIS

Source: Googlemaps 2013

The land area requirements for CST depend on both the technology type and whether

or not storage is to be included. A linear trough system without storage will require

about 0.02 km²/MW (Lovegrove 2012) and a solar power tower system with molten

salt storage will require about 0.04 km²/MW (Wright 2010). Assuming that storage

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will be required, and using projected capacity data from Table 3.4.1, we get the results

in Table 4.3.4.

Table 4.3.4 – Land Area required for CST (Power Tower) w/ Molten-Salt Storage

Source: Independent Market Operator 2012, Wright 2010

Year Capacity

(MW) Area (km2)

2012/13 4,931 197.2

2013/14 5,146 205.8

2014/15 5,308 212.3

2015/16 5,472 218.9

2016/17 5,677 227.1

2017/18 5,850 234.0

2018/19 5,994 239.8

2019/20 6,156 246.2

2020/21 6,321 252.8

2021/22 6,486 259.4

2022/23 6,633 265.3

The areas required for CST technologies are much smaller than those required for

utility-scale solar PV farms. Current SWIS demand can be met with an area of fewer

than 200 km².

4.4 Conclusions

It is clear from this chapter that areas of the SWIS region have ample solar resource

for the successful operation of both solar PV and CST technologies. While Albany‟s

solar resource comes in under the value suggested by Dawson and Schytler (2012),

areas further north and inland are more than suitable. Testament to this is the

construction of Western Australia‟s first solar PV farm located in the SWIS near

Geraldton which Tables 4.3.1 and 4.3.2 show possess one of the best solar resources

in the SWIS. We have also determined that the SWIS demand for 2012/13 can be met

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with solar PV in an area of 465 km² and with a CST power tower and storage in an

area of 197.2 km². For estimated energy consumption in the 2022/23 financial year,

the areas are 562.4 km² for solar PV and 265.3 km² for CST.

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Ch.5 Wind Energy

5.1 Introduction to Wind Energy Technology

Wind has been used as a form of energy for thousands of years. Records of windmills

for water pumping in China have been found dating back to 200 B.C (US Department

of Energy 2011) and windmills for grain grinding were developed shortly thereafter.

The first wind turbines, designed to produce electricity, were developed as a result of

the industrial revolution in Denmark in about 1890 (US Department of Energy 2011).

A typical wind turbine consists of large tower atop which sits a structure called a

nacelle and a rotor. When wind hits the rotor blades, they spin and rotational energy

is transformed to electrical energy by generation equipment housed in the nacelle.

There are many different turbine sizes available for different electrical power

applications. The largest turbine currently available is the 7.5MW Enercon E126

(Figure 5.1.1). With a 135m hub height and 127m rotor diameter there are 34 of these

turbines in operation around the world (Vries, 2012).

Figure 5.1.1 – Enercon E126 Wind Turbine: 7MW (under construction)

Source: Vries 2012

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5.2 Wind Energy Integration into Grid Networks

A common misconception espoused by renewable energy opponents is that the

intermittency of wind resources has a large and negative impact on grid network

infrastructure. In reality, low penetration of wind power into a network has a

negligible impact on grid stability. Electrical grids are designed to handle changing

loads and the varying input of a small (limited to a few % of total grid capacity) wind

power generation system into a grid simply forms a part of changing load dynamics.

Regardless, most modern wind turbines contain sophisticated electronics designed to

maintain a constant voltage supply into the grid. Studies undertaken, pertinent to the

SWIS area, indicate that wind power penetration levels can reach beyond 20% of grid

capacity so long as infrastructure and regulatory concerns are addressed (McHenry

2010) including additional frequency control infrastructure required to maintain a

stable electrical supply on the network.

Several studies have been undertaken on the addition of significant amounts of wind

energy into electrical grid networks. One such study, the Intermittency Analysis

Project by Porter (2007), was designed to assess the impact of high levels of

intermittent renewables on grids, analyse the changing impact of wind on the

Californian grid and look at how other regions have dealt with the issue of renewables

in their grids. Four scenarios were looked at. One of these dealt with 20% renewables

and 3,000MW of wind, and another had a maximum of 33% renewable energy. It

was found that all scenarios were feasible if the following three conditions were met:

1) Appropriate investment in transmission, generation and operations

infrastructure.

2) Appropriate policy and market structure changes.

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3) Cooperation amongst all participants including market operator, utility

operators, RE owners and developers, and regulatory bodies.

A second study, commissioned by the Ontario Power Authority (2006), was aimed at

assessing increasing amounts of wind generation into the Ontario grid. Five scenarios

were developed with a maximum of 33% wind generation capacity. Two findings

from the study were:

1) An average wind power generation capacity of 20% of total system capacity

was not sensitive to the level of wind resource for this electricity network

location. This was due to spatial diversity of wind farm locations or

distributed generation.

2) Network wide interruptions of wind power are extremely unlikely and it is not

feasible to plan for these. This is dependent on the size of the network.

There have been many cases in Australia and overseas where wind farms have been

successfully integrated into local electricity transmission and distribution networks.

Denmark, Spain and Portugal have the highest amount of wind capacity integrated

into their grids in Europe as shown in Figure 5.2.1. Certain areas in Europe have

network wind power capacities above 50% (Hulle 2009) but these locations have the

advantage of being connected to a continent-wide grid so if the wind speeds die down

across a large area electricity supply will not be affected.

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Figure 5.2.1 – European Wind Integration into Electricity Grids

Source: Wilkes 2012

With over 263 wind farms ranging in size from 600kW to 240MW, Portugal has

experienced large growth of wind integration into the electricity grid over the past 7-8

years. Figure 5.2.2 shows the growth in wind power in Portugal over the past 15

years. The level of wind integration in Portugal as a percentage of total generation

capacity for 2011 was 15.6% (Dragan 2012).

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Figure 5.2.2 – Portugal Wind Power Growth: 1997 to 2012

Source: Wind Power 2012

Several criteria are used in the selection of a suitable wind farm location. These

include:

Wind speed – 16 km/hr (4.44 m/s) or greater.

Wind direction – a steady wind direction is preferred.

Proximity to transmission capacity.

Laminar air-flow (non-turbulent).

Current land use patterns – private or public land, agricultural.

Flora and fauna issues.

Amenity issues – shadow flicker, noise.

5.3 Wind Energy in the SWIS

Wind power is currently the renewable energy technology with the largest available

capacity in the SWIS area. Currently there are 6 major wind farms in the SWIS with

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a total capacity of 402.43MW (Figure 5.3.1). Table 5.3.1 shows the farm capacities,

turbines and capacity factors. There are several smaller wind projects in the SWIS

area which have not been listed here.

Table 5.3.1 – Major Wind Farms in the SWIS

Source: Wind Farms in Western Australia 2008

Location Capacity (MW) Turbines (Number and Size) Capacity Factor

Albany 35.4 18 (12 x 1.8MW, 6 x 2.3MW) 0.407

Walkaway Wind Farm 90 54 (54 x 1.65MW) 0.47

Emu Downs 79.2 48 (48 x 1.65MW) N/A

Nine Mile Beach 3.6 6 (6 x 0.6MW) 0.333

Ten Mile Lagoon 2.03 9 (9 x 0.225MW) 0.31

Collgar Wind Farm 206 111 (111 x 1.86MW) 0.44

The capacity factor of a power plant is a measure of the actual energy produced over

a period of time compared to the maximum energy that could be produced over the

same period. For example, consider a power generator with a maximum rating of

500kW. If it ran at full power for 24 hr/day and 365 days/year, it would produce 4.38

GWh of energy. If, one year, it instead produced 1.314 GWh then it would be

operating at a:

1.314 GWh / 4.38 GWh = 0.30

or 30% capacity factor for that year.

Capacity factors differ from efficiency in that the efficiency of a wind turbine is a

measure of the ratio of the energy contained in the wind to that produced by the wind

turbine. The capacity factors from Table 5.3.1 are at the higher end of the scale with

global averages of between 20-40%.

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SWIS - Major Wind Farm Capacities (MW)

35.4

90

79.2

206

3.62.03

Albany

Walkaway Wind Farm

Emu Downs

Nine Mile Beach

Ten Mile Lagoon

Collgar Wind Farm

Figure 5.3.1 – SWIS Major Wind Farm Capacities

Source: Wind Farms in Western Australia 2008

Verve Energy has announced plans to construct the largest wind farm in Western

Australia. Located north of Perth in Warradarge, environmental approvals are being

sought to build the farm of 100 turbines with a total capacity of 250MW. The wind

farm will also necessitate the construction of new 330kV transmission lines.

5.4 Wind Energy Resource in the SWIS

Figure 5.4.1 shows that the South-Western areas of Western Australia contain some of

the best winds in Australia. These strong winds are generated by a system known as

the „Roaring Forties‟ - a westerly wind located between 40 degrees and 50 degrees

south. This wind resource extends a long way inland making wind farms a viable

proposition in the area. As a result, wind capacity factors in Western Australia are

amongst the highest in the world with values of between 35% and 40% (compared to

global averages closer to 30%) (Sustainable Energy Now 2010).

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Figure 5.4.1 – Wind Energy Resource: Australia

Source: Department of the Environment 2008

Figure 5.4.2 – Average Wind Speeds in the SWIS

Source: Oz Energy Analysis 2011

The data in Figure 5.4.2 is taken from the Oz Energy Analysis (2011) website and can

be found in Appendix C. This website has hourly data for 40 Australia-wide locations

deemed suitable as wind farm locations. The five areas within the SWIS are

Geraldton, Gingin, Cape Leeuwin, Esperance and Albany. Perth, with its large

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population and lack of developable land, is not included as it is not a suitable location

for a large wind farm. The majority of sites averaged around 5 m/s throughout 2009

with the notable exception of Cape Leeuwin which varied from 7 m/s to 12 m/s. The

area contained by the SWIS is ideal for wind farms as evident from the small (but

growing) number of farms already in existence and from the wind speed data shown

in Figures 5.4.1 and 5.4.2.

5.5 Conclusions

The data presented in this chapter indicate that the SWIS area has a suitable wind

resource for large-scale wind power projects. Due to the quality of the wind resource

found in the SWIS area, capacity factors from local wind farms are amongst the

highest in the world at 35-40%. Already, more than 400 MW of wind capacity has

been installed in the SWIS, with more planned.

It is clear also that the issue of grid integration can be managed fairly simply for

capacities of up to 20%. Capacities above this are possible but will require additional

control equipment to maintain a stable electricity network.

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Ch.6 Wave Energy

6.1 Wave Energy Introduction

Waves carry energy by virtue of their motion (kinetic energy). This can be extracted

from the waves and used for electricity generation. There are many variables

pertaining to waves that determine the level of energy present including their

wavelength, amplitude, frequency and density. Because the density of water is so

much higher than that of air, wave energy has the potential to produce a large amount

of electrical energy for an equal area compared with wind power. Wave energy also

has the advantage of being less intermittent and can be more predictable than other

forms of renewable energy due to the constancy of waves in many areas thus its role

in a 100% renewable energy system will be vital.

There are several different wave technologies that have been successfully

demonstrated. These technologies rely on one of two methods for extracting energy

from a wave:

1) Energy captured from the waves on the sea‟s surface.

2) Energy captured from below the sea‟s surface due to pressure differences

caused by waves.

6.2 CETO Wave Energy

CETO is a wave energy system developed by Carnegie Wave Energy Ltd, based in

Fremantle, Western Australia. It is a fully submerged system that consists of a

buoyant actuator and a pumping unit. The buoyant actuator moves in a circular

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motion due to the passage of the waves. Water is pressurised, with pumping units

sending the pressurised water through a pipeline to on-shore generation facilities that

use turbine technology to generate electricity.

The CETO wave energy system is illustrated in Figure 6.2.1.

Figure 6.2.1 – CETO Wave Energy System

Source: Carnegie Wave Energy 2012

Figure 6.2.2 shows a schematic diagram of the latest generation CETO wave energy

device.

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Figure 6.2.2 – CETO Wave Energy Device

Source: Carnegie Wave Energy 2012

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There are several benefits to the CETO system including:

1) Onshore power generation – this reduces complexity and the requirement for

under-sea power cables and electrical equipment.

2) CETO device is fully submerged – it is less likely to suffer from adverse

weather events and has a degree of protection from shipping etc.

3) No visual impact due to submerged technology

4) Can be used to produce desalinated water.

5) Can be located near to load centres thus reducing transmission costs.

The CETO system has gone beyond the demonstration phase and grid-connected units

are now being used commercially. The Perth Wave Energy Project is a grid-

connected system of four to eight CETO units with a total capacity of around 2MW.

Electricity generated by this project will be purchased by the Department for Defence

to power the HMAS Stirling naval base on Garden Island (Carnegie Wave Energy

2012). Expected project completion is late 2013.

Capacity projections by Carnegie Wave Energy indicate that there could be 1,500MW

of CETO wave energy capacity along the southern coastline of Australia by 2020

(World Wildlife Fund 2009).

6.3 Measurement of SWIS Wave Resource

Australia‟s vast 25,760km coastline provides an invaluable wave energy resource. Its

capacity has been estimated at nearly 3,500TJ of energy per year (Heap 2010).

Western Australia has the largest share of this energy resource at nearly 30% (Figure

6.3.1). Not only does Western Australia possess the largest coastline of all Australia‟s

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States and Territories, it also has a strong and sustained wave resource along its

southwest coastline.

Total Instantaneous Wave Energy (TJ)

per State

70

458

632 805

1018485

Western Australia Queensland South Australia

Tasmania/Victoria Northern Territory New South Wales

Figure 6.3.1 – Wave Energy (TJ) per State

Source: Heap 2010

Wave energy developers in the SWIS area, such as Carnegie, are in the fortunate

position of being able to experiment with one of the world‟s best wave resources. This

wave resource is generated by westerly winds at latitudes between 40 and 50 degrees

south. Known as the „roaring forties‟, these winds produce some of the largest and

strongest wave fetches in the world (Geoscience Australia 2010). Figure 6.3.2 shows

the global wave energy resource measured in MW/km of wave front. The South-

West corner of Western Australia has a resource equal to 78MW/km of wave front.

Few other coastal areas globally have a higher value than the South-West of Western

Australia.

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Figure 6.3.2 – Wave Energy Resource in MW/km

Source: Mann 2009

Figure 6.3.3 is a higher resolution diagram of Australia‟s wave energy resource.

Supplied by Carnegie Wave Energy, this diagram shows the most suitable wave

energy locations in Australia in yellow outlines. These locations are suitable for

baseload electricity generation from wave energy. The entire coast of the SWIS

network lies in a Class A wave energy site indicating that it is more than suitable for

wave energy devices.

The graphs in Figure 6.3.4 show the wave heights for four locations within the SWIS

area. Showing the percentage of time that the wave height is above one metre, all

four locations are suitable for the CETO device with values ranging from 92.4%

(Rottnest Island) to 100% (Albany).

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Figure 6.3.3 – Australian Wave Energy Resource: Class A Wave Sites

Source: Mann 2009

Figure 6.3.4 – Australian Wave Energy Resource

Source: Mann 2009

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Using Google Maps, the coastal distance of the SWIS was measured at 1,300km.

Using the value of 78 MW/km from Figure 6.3.2, it is estimated that the total wave

power resource along the SWIS coast is:

1,300km * 78 MW/km = 101,400 MW

Because the data in Figure 6.3.2 is average data, we can assume that this resource is

available 24 hrs/day and 365 days/year. Thus, the available wave energy resource

along the SWIS coast is:

101,400 MW * 24 hrs/day * 365 days/yr = 888.264 TWh

A summary of the calculations above for the available waver power and energy

resource is shown in Table 6.3.1

Table 6.3.1 – Summary of Wave Power & Energy Resource along the SWIS Coastline

Source: Lemm 1999, Mann 2009

Reference Raw Data SWIS Coast (km)

Available Power along SWIS

Coastline (MW)

Available Energy along SWIS

Coastline (TWh/Yr)

Carnegie Wave Energy 78 MW/km 1,300 101,400 888

The annual energy consumption for the SWIS network for 2012 was 17.6 TWh (Ch. 3,

Figure 3.3.3). It is clear that the energy resource along the SWIS coastline is more

than sufficient to power the SWIS network, not only now but also into the foreseeable

future.

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The CETO Wave Energy system requires 30 hectares, or 0.3 km² of sea-floor area per

50 MW. Extrapolating that out to the SWIS capacities mentioned in chapter 3, we get

the data shown in Table 6.3.2.

Table 6.3.2 – CETO Wave Energy System Area Required for various SWIS Capacities

MW Area (km2)

2012 4,931 29.59

2022 6,633 39.80

2050 14,778 88.67

6.4 Conclusions

Figure 6.3.2 shows that the SWIS area has some of the best coastline in the world in

terms of available wave resource. The power that can be obtained lies between 32

GW and 130 GW (Table 6.3.1) which is more than enough to power the SWIS

network into the distant future.

Wave energy technology has reached an advanced stage of development and is about

to be commercially deployed in Western Australia. Carnegie Wave Energy, a local

company, has developed a wave energy device that can produce renewable energy

and desalinate water simultaneously. Encouragingly, their technology has moved

beyond the demonstration phase and is set to be installed on Garden Island where it

will provide renewable energy for HMAS Stirling naval base.

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Ch.7 Biomass

7.1 Introduction to Biomass

Biomass is defined as non fossil fuel organic matter that can be converted into an

energy source. The energy source can be electricity (biopower) or it can be a liquid

fuel (biofuel). Taken in isolation, biomass has the advantage of carbon neutrality. As

much carbon dioxide is consumed during the growth phase as is emitted during

energy generation. Realistically, however, biomass will have a positive carbon

footprint due to emissions associated with fertilisation, transport and processing.

There are several methods of obtaining energy from biomass:

1) Combustion – also known as direct-firing this is the burning of feedstocks to

provide heat. The heat can either be used directly or it can be used to produce

steam, which can generate electricity via a steam turbine.

2) Gasification (see Figure 7.1.1) – this is a thermochemical process that has the

advantages of reduced emissions and increased conversion efficiencies when

compared to direct combustion (Boyle, 2004). In this process, solid organic

fuels are reacted with oxygen and steam at very high temperatures (>1000°C).

This reaction removes volatile compounds from the organic fuel. The

resulting gas is known as syngas or synthesis gas and can be used in a gas

turbine or a fuel cell to generate electricity. Solid by-products of gasification

are non-hazardous and can be used as feedstock materials in product

manufacture such as plastics (Waste 2 Energy World, n.d.).

3) Pyrolysis – biomass feedstock is heated in an oxygen depleted environment to

produce a liquid fuel called pyrolysis oil.

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4) Anaerobic digestion – decaying organic matter in landfills produces methane,

which can be collected, and combusted in a gas-turbine.

Figure 7.1.1 – Gasification Process Diagram

Source: Chamco 2013

7.2 Biomass Projects in WA

Landfill Gas and Power is a Perth-based company that extracts methane gas from

landfills for use in gas turbines. Their current generation capacity is 8.3MW from

four sites in Canning Vale, Kalamunda, Red Hill and Tamala Park (Independent

market Operator 2012).

With a global warming potential of 21 times that of carbon dioxide (Department of

Climate Change and Energy Efficiency 2012), methane is a large contributor to

climate change. The collection and combustion of methane thus has a favourable

impact on climate change as well as generating electricity.

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New Energy is a Western Australian player in the waste-to-energy market. Utilising

the gasification process, the firm proposes to generate renewable energy by diverting

waste from landfills (New Energy 2013). Two large projects for Western Australia

are being considered; one at South Hedland in the Pilbara and one in Rockingham,

south of Perth. The Rockingham facility will feed directly into the SWIS network. It

will have an electricity generation capacity of 15MW, produced by approximately

100,000 tonnes of waste per annum.

Wastes to be collected include municipal solid waste, plastics, cardboard and timber.

In late 2012, Curtin University received a $3.6M grant to develop a new biomass

gasification technology (Meates 2012). This new technology requires a single reactor

for the gasification, reducing the plant size required and enabling small-scale use.

Biomass feedstocks for the new technology will include agricultural waste (crop and

food residue and livestock wastes) and mallee, grown in the wheatbelt regions of the

SWIS.

The same research institute at Curtin University is also working on a new technology

that will allow biomass to be combusted in existing coal-fired power plants

(Fernandes 2012). A pyrolysis method, this technology will enable existing coal

plants to reduce the amount of coal they combust, replacing it with biomass. A

further advantage of this technology is the utilisation of existing power plants which

helps in keeping capital costs down for new plants.

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7.3 Biomass Resource in SWIS

Western Australia has a substantial biomass resource, estimated at 280 MW

(Sustainable Energy Now 2010. Sustainable biomass sources include plantation and

agricultural wastes, oil mallee, animal waste and food production waste.

Current electricity generation from biomass in Western Australia includes fuels such

as biogas, bagasse, wood waste and others – Figure 7.3.1.

Bioenergy Electricity Generation

(MW) - Western Australia, 200927

6

6

63

Biogas

Bagasse

Wood Waste

Other (inc

biodiesel and

unspecified

biomass)

Figure 7.3.1 – Bioenergy Electricity Generation

Source: Geoscience Australia 2010

Figure 7.3.2 below illustrates Australia‟s land use areas and shows the locations of

existing bioenergy facilities. Clearly, there is enormous potential in the SWIS area for

bioenergy plants as almost the entire network area has some form of forestry or

agriculture.

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Figure 7.3.2 – Land Use and Bioenergy Facilities in Australia

Source: Geoscience Australia 2010

There does remain the issue of competition for the available biomass resource

amongst the energy and food/fibre industries. Energy is likely to play second fiddle in

this scenario as food stocks are arguably more important to society. The growth of

dedicated energy crops can alleviate this issue as well as assisting with other

environmental problems. Dryland salinity can be combated by planting shrubs such

as oil mallee. This plant has the dual benefit of removing salinity from the water table

and improving soil conditions. The high density and fast growth of oil mallee makes

it an ideal crop for bioenergy systems.

Oil Mallee Australia released a report in 2009 called “The Oil Mallee Industry

Development Plan (2009).” The report assessed the oil mallee resource that had been

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planned in the SWIS area finding a combined total of 12,777 hectares of planted oil

mallee – Figure 7.3.3 (Oil Mallee Association 2009).

Figure 7.3.3 – Concentration of Oil Mallee Plantings, 2007

Source: Oil Mallee Association 2009

The Oil Mallee Industry Development Plan also suggested that potential bioenergy

plants using mallee as their primary resource would be limited in size depending on

their proximity to transmission and distribution infrastructure. Large plants (>20 MW)

are limited to locations close to transmission lines, with smaller plants (1-5 MW) able

to be constructed close to distribution networks (Oil Mallee Association 2009).

Figure 7.3.4 shows the potential for tree crops on areas of cleared land with high

salinity. There are vast areas of high and moderate potential within the SWIS. Areas

of high potential can provide 22m³ of plantation potential per hectare, areas of

moderate potential can provide 12m³ per hectare and areas of low potential can

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provide 10m³ per hectare. Areas closer to the coast are likely to have low potential

due to their concentrated populations. Tantalisingly, there exist areas of unknown

potential further inland.

Figure 7.3.4 – Potential for Tree Crops on Cleared Land with High salinity

Source: O‟Connell 2007

7.4 Conclusion

Biomass is already making an impact in the SWIS area with Landfill Gas and Power

generating renewable electricity from landfill methane and a new company, New

Energy, about to start a municipal waste gasification plant.

The potential for biomass-derived electricity is high in the SWIS area due to the

forestry and agricultural areas. There have also been close to 13,000 hectares of oil

mallees planted which adds to the biomass resource in the SWIS.

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Ch. 8 Renewable Energy Technologies other than Solar, Wind, Wave and Biomass

8.1 Introduction

The previous four chapters have covered the major renewable energy resources of

solar, wind, wave and biomass that are available in the South-West of Western

Australia. While it is likely that these will be able to cover the SWIS demand on their

own, there are additional renewable energy technologies that may be able to assist in

providing additional generation capacity on the SWIS.

8.2 Hydro Power in the SWIS

The hydro-power resource in the SWIS network is limited to a single operating power

station. Wellington Dam hydro station (Figure 8.2.1) is located near Collie and has

the capacity to generate 2MW of electricity.

Figure 8.2.1 – Wellington Dam Hydro Station

Source: RAC n.d.

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Constructed in 1933, the Wellington Dam has been generating power for the SWIS

since the 1950‟s when its power station was added. It has no capacity for pumped

storage which, combined with its small size, limits its usefulness. There is no

additional hydro capacity within the SWIS area.

8.3 Tidal Energy in the SWIS

Figure 8.3.1 shows the tidal ranges in metres for various areas in Australia. While

there are no suitable tidal areas within the SWIS, there exist several locations on the

Kimberley coast with tidal ranges suitable for tidal barrage systems. Plans have been

submitted twice in the past 12 years for a 100MW tidal power plant at Doctors Creek

in the Kimberley (Australia‟s Energy Future 2010) but were repelled on

environmental grounds.

Figure 8.3.1 – Tidal Range (m) in Australia

Source: Geoscience Australia 2010

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While tidal energy could be suitable for powering areas of the Kimberley, it would be

impractical to connect any systems to the SWIS due to the large distances and costs

involved in transporting the energy.

8.4 Geothermal Power in the SWIS

As discussed in chapter 2, geothermal energy is a major energy source for many

countries. Depending on the particular type of geothermal resource available, it is

either used directly, in heating applications, or converted into electricity via steam

turbines.

Australia is a geologically stable country and lacks the vast geothermal resource that

many other countries enjoy (Ghori 2008). The predominant geothermal resource

found in Australia is known as hot dry rock (HDR). An HDR resource is a bed of

granite at a depth of around 5km. The granite contains radioactive materials and heat

is generated from the decay of these materials. Typical temperatures range from

100°C to greater then 300°C (Geoscience Australia 2010). Injection wells are drilled

into the HDR field and high pressure water is forced into the rock via these wells.

The water heats up and returns to the surface via a return bore after which it is

converted into steam and used to run a steam turbine.

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Figure 8.4.1 – HDR Temperatures

Source: Geoscience Australia 2010

There are three requirements for the conversion of a geothermal HDR resource into

electrical power:

1) Suitable depth of HDR resource (between 3 and 7km).

2) Porous rock that can be easily fractured.

3) Efficient transportation of the heated water to a power conversion site.

(Ghori 2008)

The area of Western Australia covered by the SWIS does not have adequate

underground temperatures to become a strong geothermal resource – Figure 8.4.1

An assessment of the geothermal resource in the Perth Basin was completed by Hot

Dry Rocks Pty Ltd in 2008 (Hot Dry Rocks Pty Ltd 2008). The aim of the assessment

was to determine the geothermal potential of the Perth Basin in terms of heat flow and

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temperature. The Perth Basin is an on and off-shore geological formation that runs

west of the Darling Scarp, extending about 1300km north-northwest from the

southwest corner of Western Australia. Results from the assessment indicate that heat

flow increases towards the north and higher temperatures are found at shallower

depths in the north of the Perth Basin also (Hot Dry Rocks Pty Ltd 2008). Figure

8.4.2 shows the on-shore temperature measurements at a depth of 5km resulting from

the Perth Basin assessment report.

Current minimum temperature requirements for geothermal electricity generation are

>150°C although this may be reduced with technological advances (Hot dry Rocks

Pty Ltd 2008). There are several areas in the central and north Perth Basin that meet

this requirement although Hot Dry Rocks Pty Ltd have recommended further studies

using more advanced heat flow modelling.

The Perth Basin also includes a hot sedimentary aquifer where water is heated to

160°C at depths of 3-4km (Sustainable Energy Now 2010). While it is possible to

generate electricity from geothermally heated water at temperatures as low as 160°C,

the water in the Perth basin is too cool. It could instead be used for process and space

heating. It should be noted that, while there are concerns in Western Australia about

lack of water in dams and groundwater aquifers, the water from hot sedimentary

aquifers that can be used for geothermal electricity generation and space heating is a

different resource to that used for irrigation and drinking. The potential for conflict in

resource use is therefore removed (CSIRO n.d.).

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Figure 8.4.2 – Perth Basin: Temperatures at 5km

Source: Hot Dry Rocks Pty Ltd 2008

An advantage of the geothermal potential of the Perth Basin is its proximity to the

SWIS transmission network. Low transmission costs would increase the viability of

geothermal projects in Western Australia.

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Despite its potential, there is currently no electricity generation from geothermal

resources in the SWIS area. Water from the Perth Basin‟s hot sedimentary aquifer is

however being used to heat the water in the Challenge Stadium, a facility with five

pools and a combined volume of 11 million litres (Oldmeadow and Marinova 2011).

This is a low-temperature system that extracts 43°C water from a depth of 750m,

removes heat via heat exchangers and then reinjects the water through a second bore

well.

8.5 Conclusions

This chapter has shown that, although there are additional renewable energy

technologies aside from those already in use (solar thermal and PV, wind, wave,

biomass), their scope for use within the SWIS area is limited. The hydro power

capacity in the SWIS is almost non-existent with no suitable rivers or catchment areas

for the construction of hydro power stations. The one hydro power facility in the

SWIS area, Wellington Dam, is limited to 2 MW of capacity only. Tidal power is not

a feasible proposition for the SWIS area as the tidal ranges are not high enough.

Transmitting electricity from possible tidal systems in the Kimberley would be

prohibitively expensive. The SWIS area has made use of geothermal power in several

areas but this is limited to process heat only; electricity is not being generated due to

the low temperatures experienced.

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Ch.9 Energy Storage

9.1 Introduction

Due to the intermittent and variable nature of many renewable energy resources, there

will be times when the technology produces surplus energy and other times when

demand is unable to be met. Distributed energy generation will resolve most of this

issue but energy storage technologies also have an important role to play in renewable

energy generation systems.

9.2 Pumped Hydro Storage

Although hydro-power is not applicable in the SWIS due to our lack of suitable

resources, pumped hydro, the most popular form of energy storage worldwide

(Energy Storage Association 2011), can be utilised. This technology involves using

off-peak electricity to run hydro turbines in reverse to pump water from a lower

reservoir up to a higher reservoir. During peak periods when the electricity is

required the hydro system operates in the normal way. There is currently greater than

90GW of pumped hydro capacity worldwide (Energy Storage Association 2011).

Pumped ocean-storage plants can be located anywhere where there is a suitable

location for a high and a low reservoir. Coastal sites with elevations of 100m or so

are ideal as the ocean can be used as the lower reservoir and large storage ponds can

be constructed as the upper reservoirs. Sustainable Energy Now (2013) have

considered this form of energy storage for their 100% RE scenario analysis for the

WA Greens and have considered potential sites close to Albany and Geraldton (SEN

2013). SEN have proposed 300MW of storage based on plants in Geraldton and

Albany and a further 200MW of storage in the Darling Range dams. It has been

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estimated that 1500 MW of capacity could be provided with a 120-140m elevation

and 400 hectare of storage capacity at the upper reservoir. This would provide power

for up to 6 hours and provide stability for a generation system composed of

renewables (Renew Economy 2013). Increasing the upper reservoir area will enable

more power generation

9.3 Biomass Storage

Biomass energy plants can act as energy storage back-up systems for rare periods

when solar and wind are not suitable. There are however several factors to consider

regarding biomass storage:

1. Energy density – Biomass typically has a low energy density, which will

require large volumes to be transported and stored.

2. Biodegradation – If not 100% dry, biomass may naturally degrade leading to

the loss of energy density and potential mould formation and the release of

methane gas.

3. Transportation – Biomass will require transportation from its production

location to its end-use location which will increase its cost and decrease the

efficiency of this storage medium.

(Biomass Energy Centre 2011)

9.4 Molten Salt Storage

The thermal energy storage systems often found with CST systems are a solution to

the intermittency/variability of the solar resource. In a CST system with storage, the

sun‟s rays are reflected onto a central receiver that contains a substrate that is used as

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a heat-transfer medium. Suitable heat-storage substrates include molten salt, oil and

graphite.

There are several thermal storage systems available for CST systems.

Two-Tank Direct System – fluid from a low-temperature tank flows through the

central receiver where it is heated and is stored in a high-temperature tank. When the

energy is required the fluid flows from the high-temperature reservoir through heat

exchangers where steam is generated for electricity generation in steam turbines. The

fluid then returns to the low-temperature tank. Both oil and molten salt can be used as

heat-transfer fluids in these systems. This system is known as a direct system because

the storage fluid and heat-transfer fluid are the same.

Two-Tank Indirect Systems – working on the same principle as the system above, in

this case the storage fluid and the heat-transfer fluid are not the same. A heat-transfer

fluid passes through the central receiver where it is heated and the heat is then

removed from the transfer fluid via heat exchangers and passed on to the storage fluid.

The storage fluid is then used to generate steam as in the direct system. Oil is the

preferred heat-transfer fluid and molten salt is utilized as the storage fluid.

Single-Tank Thermocline System – this system contains a substrate with both hot and

cold zones separated by a thermocline in a single storage tank.

The largest molten salt energy storage system is currently at the Andasol CST plant in

Spain. This site has sufficient storage capacity to generate 150MW of power for 7.5

hours. A plant under construction in the USA will have enough storage to generate

greater than 250MW of power for eight hours (Energy Storage Report 2013).

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9.5 Flywheels

A flywheel is an energy storage device in which a spinning cylinder, the rotor, is

accelerated to a very high speed. Electricity (off-peak) is used to accelerate the

flywheel and energy is stored within the system as rotational energy. When the

energy is required for its end-use, it is drawn from the flywheel and the rotational

speed of the flywheel will reduce due to the principle of the conservation of energy.

Applications for grid use are limited due to their small size, although Beacon Power

in the USA have built a 20MW flywheel plant consisting of 200 separate flywheels

(Beacon power 2013). The energy available from this plant is 5 MWh. Beacon Power

have also installed their flywheels at a wind farm in California to store energy during

off-peak or high wind periods (Beacon Power 2013).

There are several advantages and disadvantages to the use of flywheels:

Advantages

Fast power response

High efficiency

Short recharge time

Long lifetime

Very compact when compared to alternative energy storage systems

Disadvantages

High cost

Complexity of rotors and magnetic bearings

Mechanical stress and fatigue limits

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Very short discharge times

Limited power rating

Potential hazard upon flywheel failure

Compressed air storage

Compressed air energy storage is a method in which off-peak electricity is used to

compress air, which is then stored in a suitable vessel. When the electricity is

required, the compressed air is released, mixed with natural gas and then combusted

in a gas turbine. The compressed air is injected into subterranean caves, porous rock

or manmade pressure vessels at pressures of up to 100 bars.

9.6 Conclusion

Energy storage systems are not required in a centralised fossil-fuel based generation

system because large thermal plants run 24 hours/day and provide power whenever it

is required. The entire grid system itself could be considered as a form of energy

storage. With renewable energy systems, there is a certain amount of variability

and/or intermittency. This issue can be resolved using distributed generation and the

utilisation of a variety of energy sources to increase energy security. There will be

times, however, when the resources may not be available for periods of time and

energy storage becomes necessary.

There are several energy storage options available in the SWIS area should we decide

to implement a 100% renewable energy generation system. Traditionally associated

with hydro plants, pumped storage can be utilised by constructing large upper

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reservoirs in areas with a >100m head height. There are several areas in the SWIS

that could be suited for this technology. Biomass is a readily available energy storage

solution. Molten salt energy storage is currently being used very successfully in

Spain and the USA in CST power plants.

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Ch. 10 Impacts of Energy Efficiency

10.1 Introduction to Energy Efficiency

Energy efficiency is defined as „using less energy to provide the same service‟

(Lawrence Berkley National Laboratory 2013). In other words, the minimum amount

of energy will be consumed to maintain certain levels of heating, lighting, equipment

use and comfort. This differs from energy conservation which is reducing energy

consumption by going without an energy service. For example, turning off a light is

an example of energy conservation. Energy consumption has been reduced but the

energy service that was originally provided (i.e. lighting) has been removed.

Replacing a light globe with another that produces the same light level for smaller

energy consumption exemplifies energy efficiency.

Energy efficiency is the cheapest and easiest way to make deep GHG emissions cuts

and reduce both baseload and peak load demands on electricity supply systems. It can

also help reduce the energy cost to consumers in line with their energy consumption

decrease.

Figure 10.1.1 from the Lawrence Berkeley National Laboratory (2013) provides a

graphical example of the impact of energy efficiency on refrigeration. It shows

refrigerator size from 1947 to 1998 and average energy use per unit over the same

period. Refrigerator sizes increased steadily until 1980 and have remained fairly

constant since. The average energy use per refrigerator increased steeply until 1973

when it began an equally steep decline to almost the same energy consumption level

as the technology from 1947.

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Figure 10.1.1 – Energy Efficiency Example: Refrigeration

Source: Lawrence Berkeley National Laboratory 2013

10.2 Benefits of Energy Efficiency

The International Energy Agency (IEA) has identified several benefits, both tangible

and intangible, to the increased uptake of energy efficiency. Summarised in Figure

10.2.1, these benefits are realised by different sectors of the economy (individual,

sectoral, national and international).

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Figure 10.2.1 – Multiple Benefits of Energy Efficiency

Source: Ryan 2012

Some of the energy efficiency benefits from Figure 10.2.1 are summarised below:

Individual level

1. Health and well-being – Related to improved environmental conditions inside

buildings.

2. Decrease in poverty levels – As energy bills are reduced for the poor, they can

spend their incomes on meeting other needs.

3. Increased disposable income – Reduced energy bills may provide additional

income for individuals. A „rebound effect‟ may or may not be realised. The

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„rebound effect‟ occurs when the benefits from energy reduction do not take

place as the consumers increase their energy consumption.

Sectoral level

1. Industrial productivity and competitiveness – Reductions in resource use and

pollution, improved production, less operation and maintenance costs.

2. Energy utility and infrastructure benefits – Benefits totalling 10% of energy

efficiency measures can be realised by energy providers.

3. Increased asset values – Better energy performance for a facility will result in

rental/sales premiums.

National level

1. Job creation – Direct and indirect job creation in energy and other sectors.

2. Energy security – Energy efficiency improvements are likely to increase

energy security in terms of fuel availability, primary resource accessibility,

fuel affordability and technology acceptability.

International level

1. Reduced GHG emissions – Reduced demand for energy results in reduced

GHG emissions. Not so relevant for renewable energy.

2. Natural resource management – Less demand reduces pressure on resources.

3. Development goals – Economic and social goals can be realised in developing

countries such as decreasing poverty, improving sustainability.

(Ryan 2012)

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There are several advantages to the efficient use of energy.

1. The reduction in generation and transmission investment costs required by the

energy industry. This is due to decreases in baseload and peak load power

required.

2. Energy efficiency can provide direct financial gains for generators via

decreased consumption of electricity and reduced maintenance costs.

Emissions of GHGs and other pollutants will also decrease as energy efficient

practices become more widespread.

3. There are benefits to electricity markets from the increased uptake of energy

efficiency. These include:

Reduction in capital costs due to decreased requirement for new

generation capacity.

Reduction in fuel costs (applicable to conventional plant only).

Reduction in non-fuel variable operating costs i.e. maintenance.

Reduction in transmission and distribution costs.

(Gerardi 2010)

There are many ways in which the use of energy can be made more efficient. Some

are low-cost and easy to implement, others are more expensive and may require

specific policy instruments to implement. A selection of energy efficiency upgrades

for the residential, commercial and industrial sectors is listed below:

Residential Sector

Improvement of building envelope (passive solar design)

Replace light globes

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Water heating

Water heater replacement

Water heater insulation

Roof space and wall insulation

Window shading

More efficient appliances

Commercial Sector

Improvement of building envelope

Retail refrigeration efficiency

Retail lighting efficiency

Retail air-conditioning upgrades

More efficient appliances

Industrial

Motor energy efficiency

Choosing the correct sized motor and operating at a high load-factor

Motor efficiency upgrades e.g. variable speed drive

Compressed air management policy – eliminate unnecessary use, identify and

repair air leaks, utilisation of correct sized compressor

(Gerardi 2010)

Energy efficiency is the cheapest and most easily applied method to reduce both

energy consumption and greenhouse gas emissions. Its potential is enormous. Figure

10.2.2 shows the potential percentage reductions of energy consumption for various

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sectors as a result of both high and low energy efficiency scenarios. Taken from the

National Framework for Energy Efficiency (2007) discussion paper, the high scenario

assumes that energy efficiency opportunities with a payback of 8 years or less will be

implemented while the low scenario assumes paybacks of 4 years or less. The

average percentage improvement for the high scenario is 50% and 23% for the low

scenario.

Figure 10.2.2 – Sectoral Energy Efficiency Paybacks

Source: Department for Resources, Energy and Tourism 2007

The potential improvement from the low scenario ties in well with estimates from

Sustainable Energy Now who maintain that energy consumption reductions of

between 20 – 30% can be achieved with the implementation of energy efficient

behaviours and technologies (Sustainable Energy Now 2010).

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10.3 Energy Efficiency in the SWIS

Figure 10.3.1 shows the same projected demand profile as Figure 3.4.3 but includes

the results of the average of the high and low energy efficiency percentages from

Figure 10.1.1 (50% and 23% respectively).

Figure 10.3.1 – Impact of Energy Efficiency on Projected SWIS Capacity

Source: Department for Resources, Energy and Tourism 2007

Under a high energy efficiency scenario, projected demand in 2049/50 will drop from

14,778 MW to 7,325 MW while the low scenario sees demand drop to 11,336 MW.

Both of these scenarios, and all values in between, will have a large positive impact

on the amount and cost of future renewable energy generation capacity.

The Federal Government‟s Energy Efficiency Opportunities (EEO) program is a piece

of legislation requiring all organisations that consume greater than 0.5 PJ of energy to

identify, evaluate and report (both to the government and the public) on all cost-

effective energy savings opportunities. Until June 2011, there had been 164.2 PJ of

identified energy savings and 88.8 PJ of energy savings had been implemented

(Department for Resources, Energy and Tourism 2012).

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The National Framework for Energy Efficiency (NFfEE) is a Federal Government

initiative aimed at coordinating energy efficiency policy and programs in Australia

(Department for Resources, Energy and Tourism 2007). The NFfEE aims to:

1) Accelerate all EE improvements for homes and businesses

2) Address climate change issues

3) Reduce cost of emissions abatement

4) Assist in economic growth

5) Address barriers to EE uptake

The NFfEE has spawned a number of energy efficiency measures, including

expansion of Australia‟s Minimum Energy Performance Standards (MEPS) program,

implementation of an HVAC efficiency program and removal of incandescent lighting.

Launched in 2009 by the Department of Climate Change and Energy Efficiency, the

Perth Solar Cities program is a local initiative aimed at implementing energy

efficiency and renewable energy projects throughout Perth‟s Eastern region (Blaver,

2013). The program aims to:

1) Identify and understand barriers to the uptake of energy efficiency and

renewable energy in the residential sector.

2) Test new energy efficiency technologies by undertaking trials.

3) Bring together industry, business, government and community to change the

way we produce, use and save energy.

4) Inform future government policy.

(Blaver 2013)

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To date, over 16,000 Perth households have participated in the Perth Solar Cities

program and collectively saved over $1,000,000 from their power bills.

The program has trialled several initiatives including:

Smart Grid Trial

More than 9,000 smart meters were installed as a precursor to other Solar City

initiatives.

Air Conditioning Trial

Utilising Smart-Grid infrastructure, Western Power was able to undertake remote

demand management of residential air conditioners during peak periods. Peak

electricity demand was reduced by an average 25%.

In Home Display Trial

This display enabled residents to view real-time energy consumption and associated

costs. A 5% energy consumption reduction was realised during peak periods.

Residential Solar PV Systems

A total of 673 PV systems were installed with a total capacity of 1.56MW. The

average drop in network demand per residence was 8.15 kWh/day.

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Time-of-Use Tariff Trial

Working in association with the in-home display, this initiative enabled participants to

align their electricity consumption with differing tariff periods in order to save money.

An average of 17% reduction of peak consumption was realised.

Solar PV Saturation Trial

Designed to investigate the impact of high penetrations of PV systems in the network,

this trial found that 30% penetration (by transformer size) can cause voltage increases

that are outside of compliance limits.

Residential Solar Hot Water Systems

Discounts were provided on 1,100 Solahart solar hot water systems. An average 18%

energy reduction in average daily electricity consumption was realised.

Behaviour Change

A behavioural change program was implemented whereby „eco-consultants‟ could

contact participants to provide information, and set savings targets. This initiative

realised an average 7.5% reduction in energy consumption.

Home Eco-Consultations

Residential energy audits were performed to ensure participants knew what was

having an impact on their energy consumption and how to make informed decisions

regarding energy efficiency and renewable energy.

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Iconic Projects

Five solar PV systems were installed in iconic Perth locations (including Kings Park

and Perth Arena) with a total capacity of 474 kW.

Demonstration Projects

Fifteen renewable energy and energy efficiency projects were demonstrated to

educate and inform the general public.

School Engagement

This initiative involved energy audits, efficiency projects and an energy saving

competition designed to engage staff and students at several schools.

10.4 Conclusions

There are several reasons why the increased uptake of energy efficiency is one of the

most important aspects of changing to a 100% renewable energy future:

It defers the requirement to build additional capacity as the energy consumption in

the SWIS grid increases.

It is the cheapest method for controlling rising energy consumption. There is

enormous potential in 'low-hanging fruit' energy efficiency ideas that can be

implemented at low cost.

It has been estimated in the National Framework for Energy Efficiency discussion

paper that energy efficiency can contribute to reductions in the SWIS of between

23% and 50% MW (Department of Resources Energy and Tourism, 2007). This is

equivalent to peak capacity reductions of between 1,545 MW and 3,345 MW

respectively by 2023/24.

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Ch. 11 Sustainable Energy Now: Energy Simulation

11.1 Introduction to Sustainable Energy Now: Energy Simulation

The energy simulation program designed by Sustainable Energy Now is specifically

designed for the South West Interconnected System. Demand and generation capacity

within the SWIS are modelled and user defined scenarios are used to determine the

impact of the addition of renewable energy systems on the SWIS network.

The user is able to input various technologies and capacities of renewable energy

plant including:

1) Rooftop PV systems

2) Concentrated solar thermal plants

3) Large-scale PV farms – both tracking and non-tracking

4) Wind farms

5) Geothermal power plants

6) Wave energy systems

7) Biomass energy plants

8) Energy storage

9) Energy Efficiency

Figure 11.1.1 shows the main screen of the energy simulation.

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Figure 11.1.1 – SEN Energy Simulation Main Screen

Source: Sustainable Energy Now 2009

Descriptions of the various areas available on the main screen are listed below:

1. Renewable energy technologies

This area of the main screen contains all the renewable energy technologies

listed above. Once you have selected your chosen renewable energy

technology (RET) you can customise it by location, capacity, and various

other parameters specific to the particular technology.

2. Interactive map of SWIS

This is where the current and proposed generation facilities are found. Each

renewable energy plant will be added to a specific location on this map. The

map is linked to a meteorological chart. When different locations are selected

on the map, the meteorological data changes to reflect those locations.

4

3 2

1

.

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3. Load demand graph

This shows the seasonal demand on the SWIS. It also shows the split between

fossil fuel and renewable generated energy. The addition of renewable energy

plants into the SWIS will feature on this graph.

4. Meteorological data

This displays the average solar, wave and wind energy resource for individual

locations that are selected via the interactive map.

Further, there is the capability to view load and resource data for each season and a

yearly average. To reduce complexity, Sustainable Energy Now (SEN) decided to

ignore individual season values and focus on yearly averages for its simulation

analysis.

11.2 Renewable Energy Scenarios for the SWIS

Commissioned by the WA Greens Party, SEN released in February 2013 a report

outlining a series of scenarios for the Greens 100% RE plan. Based on the SEN

simulation program, the following three scenarios were examined:

1) Scenario 1: Solar thermal dominant with backup biomass at solar CST

plants

2) Scenario 2: Lower cost diverse mix with wind and solar PV dominant

3) Scenario 3: Business as Usual (following the fossil growth philosophy of the

State Government‟s Energy 2031 Strategic Energy Initiative).

(Sustainable Energy Now 2013)

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The aims of the two renewable energy scenarios were to:

1) Have a diverse mix of renewable energy technologies

2) Ensure distributed generation

3) Balance resources with transmission network and population centres

4) Ensure sufficient backup to cover anticipated low-solar and wind

The report has based projected electricity demand on the Energy 2013 Strategic

Energy Initiative which has suggested growth of 2.3% p.a. The SEN report has made

the assumption that energy efficiency gains can reduce energy demand by 30%. This

will result in an increase of 1.6% p.a. and expected energy consumption in 2029 of

23,000 GWh (Sustainable Energy Now 2013).

Table 11.2.1 shows the total power capacities, estimated energy generation, rated and

estimated capacity factors and capital costs for both scenarios 1 and 2. Estimated

capacity factors are lower than rated capacity factors due to the inclusion of over-

capacity in the scenarios. This is to ensure that sufficient generation capacity and

storage remain available on those rare occasions when there are grid-wide reductions

in solar and wind resource.

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Table 11.2.1 – SEN Simulation Data

Source: Sustainable Energy Now 2013

Scenario 1: Solar CST Dominant

Technology

Power Capacity

(MW, 2029)

Est. Energy GWh/Yr

Cap. Cost

($/kW)

Rated Capacity Factor

Estimated Capacity

factor

Capital Cost ($B)

Wind 2,500 6,242 $2,530 0.38 0.28 $6.3

Solar CST & Storage 3,500 9,658 $8,306 0.42 0.31 $29.1

Solar PV (Tracking and roof-top) 1,300 2,050 $3,860 0.24 0.18 $5.0

Biomass back-up 2,800 2,453 $500 0.80 0.10 $1.4

Wave 500 1,150 $5,900 0.35 0.26 $3.0

Geothermal 300 1,636 $7,000 0.83 0.62 $2.1

Pumped Storage Hydropower 500 3,121 $2,500 0.80 $1.3

TOTAL 14,900 26,310 $48.2

Scenario 2: Lower-Cost, Wind & PV Dominant

Technology

Power Capacity

(MW, 2029)

Est. Energy GWh/Yr

Cap. Cost

($/kW)

Rated Capacity Factor

Estimated Capacity

factor

Capital Cost ($B)

Wind 3,000 7,789 $2,530 0.38 0.30 $7.6

Solar CST & Storage 1,500 4,305 $8,306 0.42 0.33 $12.5

Solar PV (Tracking and roof-top) 3,000 4,920 $3,860 0.24 0.19 $11.6

Biomass back-up 2,500 3,285 $500 0.80 0.15 $1.3

Wave 500 1,196 $5,900 0.35 0.27 $3.0

Geothermal 300 1,701 $7,000 0.83 0.65 $2.1

Pumped Storage Hydropower 2,000 3,895 $2,500 0.80 $5.0

TOTAL 14,300 27,091 $43.1

Figure 11.2.1 shows the total generation capacity from each of the two renewable

energy scenarios.

SEN Scenario 1 & 2 - Generation Capacities

0

500

1,000

1,500

2,000

2,500

3,000

3,500

4,000

Wind Solar CST &

Storage

Solar PV

(Tracking

and roof-top)

Biomass

back-up

Wave Geothermal Pumped

Storage

Hydropower

MW

Scenario 1 - Solar CST Dominant Scenario 2 - Lower Cost, Wind & PV Dominant

Figure 11.2.1 – SEN Scenario Generation Capacities

Source: Sustainable Energy Now 2013

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Figures 11.2.2 and 11.2.3 show additional data for scenario 1. Figure 11.2.2 shows

the existing and additional capacity required to meet forecast electricity demand in

2029.

Summary of Proposed Generation for Scenario 1

10 21.5230 300 330 378.5 415.4 500 500

730

2084.9

2400

3500

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500

1000

1500

2000

2500

3000

3500

4000

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Figure 11.2.2 – SEN Scenario 1 Generation Capacities

Source: Sustainable Energy Now 2013

Figure 11.2.3 shows the locations of proposed renewable energy generation facilities

and the additional transmission networks required.

It is proposed that pumped-hydro storage be utilised for both scenarios considered.

The potential for pumped hydro storage in the SWIS is limited to cliff-top reservoirs

with the ocean being the lower reservoir. Potential sites are located close to both

Geraldton and Albany.

It should be noted that the Sustainable Energy Now simulation program is described

by SEN as being conceptual only due to its use of average data rather than real-time

of historical data. It is proposed to update the simulation to enable the use of real-

time data.

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Figure 11.2.3 – SEN Scenario 1 Renewable Energy Generation Plants

Source: Sustainable Energy Now 2013

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Ch. 12 Why haven’t we acted already?

12.1 Barriers to Renewable Energy

An examination of the evidence outlined in this dissertation inevitably leads us to

ask ‟if the renewable energy resource in the SWIS area is so large, why have we not

acted already?‟ What are the barriers to renewable energy acceptance that are holding

us back, and what can we do to remove those barriers? What are the areas that we

should be concentrating on so that we can begin the transition to a carbon free future?

There are a variety of barriers that prevent renewable energy technologies from

entering the market. These barriers can be economic, financial, technological or

regulatory in nature. Specific examples include:

1) Myths espoused by renewable energy opponents. For example:

a. Renewable energy cannot provide baseload power.

b. Renewable energy is too intermittent to be of any use.

c. Land requirements are too large.

d. Renewable energy technologies are too expensive and require

government subsidies.

2) Distance to suitable electricity grids.

3) Unsuitable grid infrastructure.

4) Lack of information on renewable energy technologies by the public.

5) Lack of resource data i.e. geothermal resource mapping, wind resource

assessments.

6) Market operating barriers.

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7) Financial barriers.

12.2 Breaking Down the Barriers

Renewable energy cannot provide baseload power

The current electricity generation system within the SWIS is known as a centralised

system. There are very large thermal power plants (coal-fired) that are central to the

grid network. By necessity, these plants operate 24 hours per day and hence are

known as baseload power plants. It has been argued (Nelder 2912, Diesendorf 2010)

that baseload power is not an absolute requirement of a well functioning electricity

grid but is in fact a construct of our centralised power systems. Due to the long start-

up times of these plants of 24 hours or more, they are more efficient when operating

non-stop and producing electricity at their rated output around the clock. During the

night, electrical power demand drops to its daily low and yet the baseload plants keep

operating. Electrical utilities have got around this by introducing electrical hot water

tariffs that use spare baseload capacity to heat hot water for the next day‟s load. With

an increase in solar water heater and heat-pump installations this tariff will soon

become redundant and large amounts of baseload power, seen as so essential for our

networks, will go to waste.

Baseload power is not an essential requirement for an electricity network. Stripped

back to basics, what is required is a system design that can reliably and flexibly

change to suit system demand.

Although it has been shown above that baseload power is not an absolute requirement

of a well-functioning electrical supply system there are several renewable energy

technologies that have the ability to provide so-called baseload power. These include:

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1) Hydro power (not relevant to the SWIS network)

2) Geothermal power (limited capacity in the SWIS)

3) Solar thermal with storage (very high capacity in the SWIS)

4) Biomass (high capacity in the SWIS)

Renewable energy is too intermittent to be of any use

Before discussing the intermittence/variability issues that are raised by RET

opponents, it is useful to define both of these terms:

Intermittent: occurring occasionally or at irregular or regular intervals;

occasionally; to be suspended temporarily or at intervals

Variable: liable to change; lacking consistency

Source: Collins English Dictionary 2002

An argument used by opponents of renewable energy is that the technologies involved

are intermittent and therefore can not be used reliably. However, all power

generation sources are intermittent, including baseload stations. There are several

ways in which this intermittency can be seen. Unforeseen accidents can have drastic

consequences for centralised power plants. This was proved by the shut-down of the

Eraring coal-fired power station in New South Wales in October 2011 after an

explosion and fire in one of the transformers. The resulting damage caused the plant

to be shut-down for three weeks increasing the load on other generators in the

network.

Further impacts of conventional power plant intermittency were felt in June 2008

when Western Australia was plunged into an energy crisis after its natural gas supply

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was reduced by a third due to an explosion in a gas pipeline on Varanus Island. The

resulting impact on the Western Australian economy was enormous with higher gas

prices and supply disruptions. Full supply was not restored until the end of 2011.

The SWIS network has a large amount of variability in supply and demand on a daily,

seasonal and yearly basis. The grid is already able to cope with this variability by

having a variety of electricity generation technologies including baseload, peak load

and intermediate power plants.

Chapter 5 showed that wind resource intermittency need not be an issue so long as

certain conditions, including distributed generation and appropriate investment

decisions, were met. Solar intermittency can be resolved with the combined use of

suitable technologies and storage.

Land requirements are too large

Another argument advanced by renewable energy opponents is that the land

requirements for the various technologies are too large and that the land could be put

to better use i.e. agriculture. While a thermal power station may not have a large

footprint, its associated coal mines can span areas of hundreds of square kilometres.

Further to this, scarring of land from mining operations is permanent. Wind farms are

able to be fully integrated with existing land use patterns such as agriculture and

livestock grazing. Access roads and wind turbines will typically occupy a very small

percentage of existing land (Diesendorf 2007)

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Renewable energy technologies are too expensive and require government subsidies

While the capital costs of many renewable energy technologies are greater than those

of traditional technologies, the operating costs are greatly reduced in many cases due

to the freely available primary energy source. Improved technological progress and

economies of scale are likely to decrease the capital costs for RETs over time.

Most immature technologies require government subsidies to get them started and

RETs are no exception. There are several such subsidies available in Australia

including, but not limited to:

1) Renewable Energy Certificates

2) Feed-in-tariff‟s

3) Renewable energy buyback scheme

4) Solar rates/rebates available for residential customers

According to research from the Australian Conservation Foundation, the value of

subsidies to RETs more than doubled between 2007-08 and 2010-11 from $478M to

over $1,000M. At the same time, subsidies to the fossil fuel industry increased from

over $10,500M in 2007-08 to over $12,000M in 2010-11 (Australian Conservation

Foundation 2012). This is shown in Figure 12.2.1.

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Comparison of Subsidies in the Australian

Energy Market

477.91078.8

10579

12173

0

2000

4000

6000

8000

10000

12000

14000

2007-08 2010-11

(A$ M

illi

on

)

Renewable Energy Technologies Traditional Technologies

Figure 12.2.1 – Energy Subsidy Values

Source: Australian Conservation Foundation 2012

Distance to grids and unsuitable grid infrastructure

Suitable locations for RETs such as wind farms and concentrated solar plants may be

far away from population centres and transmission infrastructure. This adds to the

capital cost of these technologies. Tables 4.4.1 and 4.4.2 indicate that many areas

within the SWIS have suitable solar resource, while Figures 5.4.1 and 5.4.2 show that

the wind resource too is more than suitable. Many of these areas are distant from

current transmission infrastructure and so considerable expense will be required to

utilise these locations fully.

Lack of readily available renewable energy information

It is hard for energy consumers to make informed choices when the information that

they have access to is insufficient or false. The persistent myths surrounding

renewable energy technologies, mentioned at the start of this section, portray a

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negative image of the industry which is incorrect and dissuades investment. Lack of

skilled personnel to install and operate RETs may also deter investment

Lack of RE resource information

The quality of renewable energy resource information varies depending on location

and technology. The solar resource in the SWIS is well known thanks to satellite

measurements and the wave resource is predictable also. Potential wind farm

locations should have at least two years of dedicated wind resource monitoring to

determine suitability before any final investment decision is made. Publications such

as the Australian Energy Resource Assessment (Geoscience Australia 2010) are useful

in providing a brief of the size of energy resources in Australia.

12.3 Changes to be made

In a Sustainable Energy Now discussion paper, “Renewable Energy Scenarios for

Western Australia” (2010), many technical and regulatory factors are identified that

need to be addressed before renewable energy can form a large percentage of the

SWIS network. A summary of these changes is listed below:

Strong governmental support in terms of feed-in-tariffs and guarantees of

power purchase. As mentioned in chapter 2, the Norwegians have shown

commitment by requiring network operators to connect all renewable energy

generators to the grids regardless of cost to the utility.

Removal of land use approval impediments to enable fast tracking of new

renewable energy projects.

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118

Transmission and distribution infrastructure networks to be expanded to allow

generation connections from renewable resource rich areas

Grid energy storage to be installed. This can include such technologies as

molten salt thermal storage and compressed air energy storage.

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119

Ch. 13 Conclusions

This dissertation set out to answer the following key questions: is it possible to power

the SWIS network with 100% renewable energy and maintain this sustainable energy

system into the future given projected population expansion and energy demand

increases? What level of energy efficiency would assist in making this sustainable

energy transition?

Due to the variety of renewable energy resources, Western Australia has the

opportunity to become a world leader in renewable energy technologies. The area

covered by the South-West Interconnected System has a characteristic geography that

is rich in many of the renewable resources required to maintain a sustainable

electricity generation system. This includes strong winds from the Southern Ocean

over much of the SWIS area, a solar and wave resource that is equal to some of the

best in the world and ample biomass.

The preceding chapters have identified the applicable renewable energy technologies

and their resource availability has been determined. It has been shown in this

dissertation that implementing an electrical energy supply system with 100%

renewable energy is technically possible for the SWIS network. Not only is the

renewable energy resource viable, but the generation and storage technology is

commercially available and is being used successfully in many other countries.

The SWIS area has a solar resource that is more than sufficient to generate all of the

area‟s electricity requirements. Depending on the geographical location, the

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120

insolation values range from under 2000 kWh/m²/year in Albany to between 220 and

2300 kWh/m²/year in Geraldton. With a suggested lower limit of 2000 kWh/m²/year

for CST, there are many locations within the SWIS that would be suitable in terms of

solar resource.

The SWIS wind resource, powered by the „Roaring Forties‟ is among the best in

Australia. With wind speeds in excess of 10 metres/second in some areas, wind farms

remain a viable proposition with some of the best capacity factors in the world.

The wave resource in the SWIS is also very robust with some of the best coastal wave

energy values in the world. This dissertation has calculated a total wave energy value

for the SWIS of just under 900 TWh per year. Only a very small fraction of this

would be required to cover the requirements of the SWIS.

While there is a large biomass resource within the SWIS due to forestry and

agriculture, it is unlikely that it could substantially contribute to the electricity

generation capacity due to the demand from the food/fibre industries.

Some form of energy storage will be required for a system operating on 100%

renewable energy. While not required for conventional systems due to the grid acting

as a form of storage, renewable energy generation systems will be affected by

intermittence and/or variability at times and this needs to be accounted for. Of the

several options available in the SWIS, pumped hydro from the ocean, biomass and

molten salt technologies offer the largest capacity. These technologies are all mature

and in operation at various locations around the world.

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121

It has been suggested in this dissertation that capacity growth in the SWIS could reach

as high as 300% by 2049/50 under a high economic growth scenario. This will place

enormous pressure on the SWIS generation capacity if left unchecked. To make the

transition to 100% renewable energy it is essential to first take full advantage of all

the benefits that energy efficiency affords. It is possible to make demand reductions

of between 20% and 50% from a dedicated commitment to energy efficiency. This

will, among other benefits, decrease the amount of generation capacity that is required

for a future 100% renewable energy generation system and increase the likelihood

that such a change can take place.

This dissertation has shown that the current and future demand faced by the SWIS can

theoretically be met be 100% renewable energy. The primary energy resources are

available in abundance and the technical knowledge for all reviewed technologies has

been demonstrated many times in various countries. All that remains is for our

nation‟s leaders to show some will-power and begin the change to a completely

sustainable energy generation system.

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122

Ch. 14 Appendices

Appendix A Western Australia: Energy Resources and Infrastructure September 2010

Source: Western Australian Land Information Authority 2010

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123

Appendix B Average Monthly Solar Insolation Values Perth Metro (Mt Lawley) - BoM Site #9225

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Av.

200

6

26.5

8

25.8

1

22.2

5

15.8

7

12.0

2

10.6

7

10.3

8

12.4

4

18.5

4

24.1

8

24.8

9

30.6

5

19.5

2

200

7

28.5

6

25.3

8

22.5

1

16.1

6

11.8

6

11.0

1

10.2

0

13.3

3

18.7

1

24.1

8

31.3

3

28.4

7

20.1

4

200

8

29.8

5

25.4

5

22.3

1

16.0

0

13.1

3

11.4

4

10.4

4

16.2

8

18.5

4

23.4

3

28.2

2

32.0

8

20.6

0

200

9

30.5

6

26.6

0

23.5

9

18.4

9

14.9

6

11.1

6

12.7

4

14.7

4

18.7

6

24.9

2

29.3

1

32.8

8

21.5

6

201

0

32.1

2

27.9

5

23.2

7

18.3

4

14.9

2

12.5

9

12.2

9

15.1

8

20.0

0

26.2

4

28.8

8

29.9

4

21.8

1

201

1

29.6

5

28.6

6

25.1

5

18.7

0

13.9

2

10.9

2

10.4

6

13.9

3

17.8

7

22.1

2

28.3

1

29.5

3

20.7

7

201

2

27.7

2

24.0

1

22.0

3

14.2

9

10.8

4 7.60

10.7

0

13.1

2

18.4

7

23.8

2

28.2

0

18.2

5

Kalgoorlie - BoM Site #12038

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Av.

200

6

23.4

2

24.5

7

23.1

9

15.8

9

12.6

8

11.8

8

11.6

4

15.8

9

19.4

2

25.2

1

27.4

6

29.2

9

20.0

4

200

7

27.8

2

24.3

6

21.8

6

16.4

7

13.6

1

11.1

4

12.7

8

16.7

5

21.3

5

25.6

0

30.1

6

28.1

6

20.8

4

200

8

29.4

9

22.5

8

21.6

5

17.1

1

14.8

4

12.0

7

12.4

4

17.0

6

21.2

4

23.6

4

24.9

8

31.9

1

20.7

5

200

9

29.4

0

24.7

5

24.9

0

19.1

3

14.6

6

12.2

9

13.2

3

16.3

0

21.4

4

25.7

0

28.5

1

31.4

6

21.8

1

201

0

31.7

2

27.7

8

22.0

6

18.6

8

14.9

6

12.6

0

13.3

5

15.3

8

19.9

7

27.4

3

30.4

8

28.4

1

21.9

0

201

1

27.7

2

20.4

9

22.1

1

18.3

6

12.7

3

11.1

7

11.3

1

15.3

3

20.8

6

20.7

2

30.5

3

27.8

7

19.9

3

201

2

25.8

5

22.7

5

18.7

4

16.2

4

11.7

2 9.64

10.9

7

14.5

6

20.1

9

24.2

6

29.2

1

30.9

6

19.5

9

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124

Geraldton - BoM Site #8051

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Av.

200

6

26.2

7

25.7

4

23.1

9

18.2

9

13.4

6

12.9

8

12.6

1

14.9

7

20.1

6

25.6

4

28.2

5

30.8

0

21.0

3

200

7

30.6

0

26.1

6

23.1

8

18.2

1

14.7

6

12.5

1

12.1

5

16.1

4

21.5

9

26.3

3

30.7

8

29.5

0

21.8

3

200

8

29.3

9

24.6

3

22.2

3

17.9

0

15.4

4

12.9

0

12.0

9

17.0

5

20.9

9

25.3

8

29.0

6

32.3

5

21.6

2

200

9

30.9

1

28.1

6

24.9

4

20.7

2

16.0

5

12.6

8

13.5

4

16.4

6

21.3

0

25.9

3

29.0

5

31.3

5

22.5

9

201

0

31.0

3

28.2

7

24.3

2

19.3

2

16.4

4

13.0

7

14.1

1

16.4

1

21.2

3

26.2

9

28.6

2

29.1

6

22.3

6

201

1

27.8

4

26.7

5

25.4

9

19.3

7

15.4

3

12.5

1

11.9

7

15.4

9

21.1

8

23.4

1

30.0

7

30.0

7

21.6

3

201

2

27.3

0

24.4

3

22.1

0

16.2

1

12.6

6 9.34

12.1

8

15.4

0

19.4

0

24.8

9

29.4

5

31.3

5

20.3

9

Albany - BoM Site #9741

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Av.e

200

6

22.5

1

24.4

6

18.4

0

10.1

4 9.35 8.23 8.41

11.9

2

15.4

8

19.1

1

21.7

8

27.1

5

16.4

1

200

7

23.9

3

21.2

5

19.5

5

12.7

6 9.05 9.01 9.29

12.2

2

17.2

2

20.8

4

26.1

6

23.7

4

17.0

8

200

8

24.7

8

21.1

6

18.3

2

14.0

9

10.8

5

10.1

1 9.16

13.8

5

16.6

2

19.1

8

20.5

3

29.6

7

17.3

6

200

9

27.4

8

22.5

5

20.5

3

15.5

3

12.9

4 9.56

10.9

5

13.3

9

17.4

6

20.7

0

26.8

9

29.4

0

18.9

5

201

0

27.8

3

24.7

6

19.1

1

15.8

4

12.8

0

10.7

8

10.4

0

12.0

6

17.1

9

23.2

4

26.0

5

25.1

5

18.7

7

201

1

26.4

2

20.5

2

20.1

8

16.0

9

11.0

6 9.53 9.44

11.7

6

16.0

6

18.6

8

26.4

0

26.1

7

17.6

9

201

2

23.2

0

18.4

8

17.1

7

11.5

8 7.99 6.67 8.33

10.9

0

15.1

6

21.3

9

28.1

7

29.2

0

16.5

2

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Appendix C Average Monthly Wind Speeds

Average Monthly Wind Speeds (ms-1)

Month Geraldton Airport Gingin Airport Cape Leeuwin Esperance Airport Albany Airport Average

Jan 7.33 5.07 7.83 5.44 4.51 6.04

Feb 7.12 5.26 8.60 5.40 5.26 6.33

Mar 5.87 4.44 8.34 5.02 4.37 5.61

Apr 5.29 4.03 7.57 4.52 3.83 5.05

May 4.73 3.69 7.12 4.58 3.31 4.69

Jun 4.87 3.54 9.99 6.24 4.38 5.80

Jul 4.42 3.41 8.31 5.23 4.18 5.11

Aug 4.00 3.38 9.99 5.51 4.50 5.47

Sep 4.41 4.23 11.70 6.23 5.10 6.33

Oct 4.92 4.10 7.86 5.63 4.16 5.33

Nov 5.78 4.33 7.90 5.88 4.17 5.61

Dec 6.82 5.07 8.11 5.83 4.25 6.02

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