Report - Five percent renewable energy investments

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An illustrative case of allocating five percent of Norway’s sovereign wealth fund into infrastructure for renewable electricity worldwide. FIVE PERCENT RENEWABLE ENERGY INVESTMENTS IN A TWO DEGREES WORLD 2015 REPORT EN © Brian A Jackson / Shutterstock

description

The report illustrates the potential climate benefits of investing in renewable energy projects.

Transcript of Report - Five percent renewable energy investments

Page 1: Report - Five percent renewable energy investments

An illustrative case of allocating five percent of Norway’s sovereign wealth fund into infrastructure for renewable

electricity worldwide.

FIVE PERCENT RENEWABLE

ENERGY INVESTMENTS IN A TWO DEGREES

WORLD

2015

REPORTEN

© B

rian

A Ja

ckso

n / S

hutte

rsto

ck

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Written by Lars Erik Mangset and Stefano Esposito We would like to thank the following contributors and reviewers (any errors that remain are the sole responsibility of the two authors): Kristian Petrick (Consultant and IEA-RETD Operating Agent) Jan Schelling (Statkraft) Tabaré Arroyo Curras (Advisor on Energy Economics, WWF International) Hugo Lucas Porta (Adjunct Professor, Faculty of Environmental Studies, York University) William Blyth (Associate Fellow Chatham House, Honorary Research Fellow, Imperial College London, Director at Oxford Energy Associates). Santiago Lorenzo Alonso (WWF’s Global Climate and Energy Initiative) Stephan Singer (WWF International) Matthias Kopp (WWF Germany) Ester Rønsen (Student at the University of Oslo) And a special thanks to Svensk PostkodStiftelsen, for the unconditional financial contribution to our work on sustainable finance. Contact persons: Lars Erik Mangset, Senior advisor, sustainable finance, +47 93 20 94 94 [email protected] Stefano Esposito, Advisor, sustainable finance, +47 94 43 81 64 [email protected] WWF-Norway: +47 22 03 65 00 Graphic design: Stefano Esposito (report), Lene Jensen (front/last page) Front cover photo: © Brian A Jackson / Shutterstock Published in November 2015 by WWF-World Wide Fund For Nature (Formerly World Wildlife Fund) Oslo, Norway Any reproduction in full or in part must mention the title and credit the above-mentioned publisher as the copyright owner. © 2015 WWF All rights reserved WWF is one of the world’s largest and most experienced independent conservation organizations, with over 5 million supporters and a global network active in more than 100 countries. WWF’s mission is to stop the degradation of the planet’s natural environment and to build a future in which humans live in harmony with nature, by conserving the world’s biological diversity, ensuring that the use of renewable natural resources is sustainable, and promoting the reduction of pollution and wasteful consumption.

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CONTENTS CONTENTS ............................................................................................................................................... 2

FOREWORD ............................................................................................................................................. 3

INTRODUCTION ....................................................................................................................................... 4

METHODOLOGY ...................................................................................................................................... 7

#1 Forecast of the future market value of the investor ..................................................................... 7

#2 Allocating investments to different technologies for renewable electricity generation ............... 8

#3 Estimation of electricity generation associated with the investment ........................................... 9

#4 The effect of replacing a mix of electricity from fossil energy sources with renewable energy . 11

MODELLING RESULT.............................................................................................................................. 13

5 percent investment by the GPFG ................................................................................................... 13

5 percent investment by UNPRI’s signatories ................................................................................... 15

5 percent investment by CERES’s International Network on Climate Risk ....................................... 17

DISCUSSION ........................................................................................................................................... 19

Technical discussion on the model ................................................................................................... 19

What is the role of investments to be able to stay below 2-degrees global warming? ................... 21

REFERENCES .......................................................................................................................................... 24

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FOREWORD

Our planet faces a massive challenge. Scientists are now certain that human activity is changing the global climate.

Production and consumption of fossil fuels in all sectors of modern economy is the largest single source of global

greenhouse gas emissions.

The consequences are already affecting people’s lives and all natural ecosystems. In order to hinder further

catastrophic consequences, it is necessary to contain global warming within 1.5 - 2 degrees. To do so, the world

urgently needs to shift from an energy system based on polluting fossil fuels, to a world powered by clean renewable

energy.

To build low-carbon and resilient societies we require a new approach to finance, which has the power to change

the way investments shape our economies and promote some sectors instead of others. To achieve the necessary

changes, global investments must shift away from companies and projects that are causing the problem, and over

to renewable energy infrastructure, such as wind and solar power plants. These technologies are increasingly

becoming cost-competitive, and there is a growing need for investments. However, many countries struggle to

mobilise the necessary finance to achieve this change. Sovereign wealth funds and other public financial institutions

can play a key role in expanding access to capital and reducing financing costs, as underlined in the UN’s New

Climate Economy Report (2014).

Norway’s sovereign wealth fund – the «GPFG» - is the world’s largest fund of its kind, owning 1,3 percent of the

world’s listed companies. WWF is advocating a mandate for the fund to invest up to five percent of its value directly

in renewable energy and related infrastructure. In this report, WWF asks the question: what would happen if the

GPFG would adopt such a mandate? The illustrative results show that by gradually allocating five percent of the

GPFG´s capital holding, the fund has a huge potential to finance new renewable power plants that will generate

clean electricity for many decades and, at the same time, avert a large quantity of greenhouse gas emissions.

Considering its size, the GPFG can be a key driving force in the ongoing transformation of the world’s energy

markets, in which renewable energy will need to take over the dominating role fossil fuels have today, as many

analyses show (IEA 2014, Bloomberg 2013). When a huge and trustworthy institution like the GPFG changes its

priorities, one can expect significant ripple effects in the wider realm of finance. This would also contribute to

develop and facilitate the creation of market structures, which are necessary to build more sustainable energy

system and markets.

Humankind is on the eve of another industrial revolution. The energy sector is at the core of it and opportunities

will rise for investors to be at the forefront of this change. Early movers will be able to better position themselves

for this new economy. There is no doubt that uncertainties exist, but being conservative will not help in avoiding

risks (Mercer, 2015). Sustained and sustainable investments, together with new business practices, are necessary

to build the energy system of the future. Norway has a unique possibility to affect this development in a positive

way by changing the investment strategy of the GPFG. This report illustrates the potential climate benefit of doing

so.

Santiago Lorenzo Alonso

Head of Green Finance for WWF’s Global Climate and Energy Initiative.

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INTRODUCTION

It is widely acknowledged that to achieve global sustainable development, we must transform our energy system

from one which is heavily reliant on fossil fuels, to one which uses clean and safe renewable energy sources like

wind, sun and water. However, neither today’s government policies nor current investment levels appear strong

enough to drive this transition at the scale and speed that is necessary to limit global warming. To have a 50 percent

chance of limiting global warming to 2 degrees Celsius, the concentration of greenhouse gases (GHGs) should

remain below 450 ppm (IEA, 2014a; IEA, 2014b).

One key action to drive this energy transition in the right direction is to increase the direct financing of

infrastructure for renewable energy (OECD, 2015a). While such investments have experienced relative high growth

rates in the past decades (UNEP, 2015), the world needs further and sustained growth of financial resources to have

a chance to reach the internationally agreed climate stabilisation goal (IEA, 2015b).

The shift from fossil to renewable energy will not only contribute to ensuring a more climate-friendly future, but it

also presents merits from a pure business case perspective. In fact, clean energy sources, solar and wind in

particular, are becoming cheaper and more cost competitive vis-à-vis the incumbent fossil-based alternatives

(BNEF, 2015b). An historical milestone was reached in 2013, when new capacity for renewable electricity

generation surpassed that of fossil electricity (BNEF, 2015a) – with forecasts suggesting that this trend will only

intensify in the coming years (IEA, 2015a; BNEF, 2015b).

The focus of our report is the potential for institutional investors to increase their investments directly into

renewable energy, and the associated societal and climatic benefits if they do so.

Institutional investors represent sovereign wealth funds, insurance companies, investment and pension funds,

which together held about 83 trillion USD in assets in the OECD alone in 2012 (Kaminker et al. 2013; IEA, 2014b).

Such financial institutions appear particularly well suited to invest directly into renewable energy infrastructure

considering their long-term investment horizon, and that energy projects could meet their needs by delivering low-

risk, predictable returns (UNEP, 2015; IEA, 2014. Ceres, 2014. OECD, 2013). However, latest figures on pension

funds show that they invest on average less than 1 percent of their total capital holdings directly into infrastructure

projects, with an even smaller percentage of this going to green infrastructure (OECD, 2013). CERES, a coalition of

investors, has called for institutional investors to commit 5 percent of their holdings to clean energy investments

(CERES, 2014).

Similarly to the proposal made by CERES, WWF-Norway has advocated that Norway’s Government Pension Fund

Global (GPFG), the world’s largest sovereign wealth fund, should get a new investment mandate that allows the

fund to invest up to 5 percent of its holdings directly in renewable energy infrastructure. Such a mandate would be

similar to the existing one that allows the fund to invest into real estate.

With such a backdrop, this report presents a model that aims at illustrating what would be the theoretical impact

if the GPFG were to invest 5 percent of its total holdings directly in renewable energy infrastructure, in terms of

renewable electricity capacity, generation, and associated emission averted if the clean energy substitutes fossil-

based electricity generation. In this report, we outline our methodological approach used to make these illustrative

calculations taking the GPFG as a main case study, but also testing the model for two large coalitions of investors.

In particular, in our modelling approach we seek to respond to the following three high-level questions:

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1. Assuming that investments increase linearly in the period 2016-2020 – what is the annual volume of

financing if the GPFG reaches a 5 percent allocation of its market value directly into renewable energy projects

by the end of 2020?

2. Theoretically, how much electricity generated by renewable sources can be associated with the investments

volumes from the GPFG alone?

3. Assuming that this new renewable electricity fully replaces electricity from a mix of coal, oil and gas – what

is the quantity of averted emissions of greenhouse gas?

In the methodology chapter, we outline the modelling steps to respond to these problem statements. Then, in the

result chapter, we repeat the same modelling approach for two other groups of investors:

The first group includes all investors who have signed the UN Principles for Responsible Investment

(UNPRI)1, representing about USD 45 trillion in assets in 2014.

The second group includes the Investor Network on Climate Risk (INCR), launched and managed by

CERES, representing over 100 institutional investors and more than $13 trillion in assets.2

It is important to note that the aim of this study is to provide an estimate of the potential theoretical effects of

investing in renewable energy projects, and not to present a realistic investment case. In fact, we assume for

instance that renewable energy projects are financed with equity capital only, from one or more investors. This

suggests that our calculations may inherently underestimate how much added capacity a certain amount of equity

capital may provide in terms of new infrastructure projects. We furthermore do not take any position as for the

additionality aspects, i.e. the factors that actually drive new renewable energy capacity expansions, such as

favourable policy frameworks and mitigation measures regarding political risk factors.

Finally, the model is also freely available online at the following link: http://webcalculator.wwf.no. Thanks to this

tool, any interested user can create his/her own case study, change default parameters, background data, and more.

1 http://www.unpri.org/signatories/signatories/ 2 http://www.ceres.org/investor-network/incr In this report, we will refer to this group as «CERES», and not INCR, for the

sake of clarity.

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Wind turbines funnel wind from the Columbia River Gorge, Washington-Oregon border, USA. © National Geographic Stock / Mark Thiessen / WWF

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METHODOLOGY #1 Forecast of the future market value of the investor

In order to estimate the amount of money that the investor would invest in new renewable energy projects

worldwide, it is first necessary to determine the future market value of the fund and, on this basis, to calculate how

much money needs to be invested to achieve a 5 percent target by 2020. For our main case study, we have obtained

a forecast of the market value of the GPFG from 2016-2020 from the Norwegian Ministry of Finance (MOF) (MOF,

2014) as a basis for further calculations.

Figure 1 - Forecasted of the GPFGs total market value expressed in USD billions using the exchange rate at 1st January 2014, and expressed in USD2011 to be in line with other data used in the model (Source MOF 2014).

We assume that the GPFG starts to invest in 2016 in a new asset class focused on renewable energy infrastructure.

For illustrative purposes, we assume that the fund will invest in total 1 percent in 2016, 2 percent in 2017, and so

on, reaching finally 5 percent in 2020. For this modelling period, we assume that investments dedicated to

infrastructure projects are “locked”, that is, once invested in one year, that financing is tied to a specific project

throughout the modelling period. This is shown in Figure 2, where the light green bars represent the annual new

investments in renewable energy projects, while the dark green bars show the cumulative investments. To

determine the future market value of the funds in the other case studies in this report (i.e. funds under UNPRI and

CERES), we assume an arbitrary annual growth rate of 2 percent, starting with the latest known market value.

Figure 2 - Cumulative and annual allocations of money from the GPFGs directly into renewable energy. Value expressed in USD2011 billion using the exchange rate at 1st January 2014 (Source MOF 2014).

The model simplifies by assuming that the investor would cover 100 percent of the capital need in a project. This is

however not common in practice, since usually several investors pool equity capital together, and projects will have

a certain amount of debt capital. This implies that our model does not include a potential catalysing effect where

one investor may unlock investment and credit from other institutions.

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#2 Allocating investments to different technologies for renewable electricity generation

This study takes into account the main renewable energy technologies as classified by the International Energy

Agency (IEA), namely hydropower, bioenergy, geothermal, wind, solar PV, concentrated solar power (CSP) and

marine. The annual investment from the GPFG (Figure 2) is allocated to these different technologies in accordance

with their share of the world’s annual added electrical capacity. The renewable energy mix is defined in the IEA’s

World Energy Outlook 2014 (IEA 2014), where different climate scenarios are presented. Based on data available,

we rely on the IEA’s central scenario, called “New Policy Scenario” (NPS), in which currently discussed policies are

adopted, for the period 2016-2019. For the year 2020, we rely on the 450 scenario (450S). Table 1 shows how

investments are distributed every year among the different technologies, according to the electricity mix. This

implies that the larger part of investments will go to wind power, followed by hydropower and solar PV. These three

technologies will attract over 90 percent of annual investment.

Table 1 - The distribution of annual investment to different renewable energy generation technologies following the relative share

of added capacity in renewable power, as provided by the IEA (2014).

Annual investment by GPFG ($ bn)

Technologies in the energy mix Share $ bn Share $ bn Share $ bn Share $ bn Share $ bn

Hydro 29 % 2,7 29 % 3,0 29 % 3,4 29 % 3,8 24 % 3,5

Bioenergy 6 % 0,5 6 % 0,6 6 % 0,7 6 % 0,7 5 % 0,7

Wind 34 % 3,2 34 % 3,6 34 % 4,0 34 % 4,5 41 % 5,8

Geothermal 1 % 0,1 1 % 0,1 1 % 0,1 1 % 0,1 1 % 0,1

Solar PV 29 % 2,7 29 % 3,0 29 % 3,4 29 % 3,8 29 % 4,1

CSP (concentrated solar pow er) 1 % 0,1 1 % 0,1 1 % 0,1 1 % 0,2 1 % 0,2

Marine 0 % 0,0 0 % 0,0 0 % 0,0 0 % 0,0 0 % 0,0

2016 2017 2018 2019 2020

9,3 10,5 11,7 13,0 14,3

Arrays of solar PV panels on the Eigg off Scotland's west coast, UK. © Global Warming Images / WWF-Canon

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#3 Estimation of electricity generation associated with the investment

Once we have estimated the amount of money invested every year, we need to find out how many power plants can

be financed, and how much electricity they typically will produce. To do so we rely on three variables, all provided

by the data available from IPCC (2014):

Overnight capital cost (in USD/kW): it is the capital cost, excluding financing cost for construction. In

other words, it indicates the cost of building a power plant overnight as if there is no cost of capital during

its construction (i.e. capital discount rate equals zero). It includes the bare plant cost and the owner's costs

(land, cooling infrastructure, administration, site works, switchyards, project management, licences, etc.).

It excludes costs associated with financing, escalation due to increased material and labour costs, and

inflation. For this reason, while overnight cost is useful to compare the economic feasibility of building

various plants, it is not an actual estimate of construction cost. In particular, it does not take into account

any unforeseen costs and transaction costs which emerge during the construction stage. IPCC provides a

minimum, median and maximum value for overnight cost, in USD2010: this report is based on the median

value, converted for consistency in this study to USD2011.

Capacity utilization/full load hours (in hours): it expresses, for each technology, the number of hours

that a generator would spend at full load if it always operated at that level. There are 8 760 hours in a

normal year: for instance, a hydropower plant has average full load hours of 4 850 (55%).

IPCC provides minimum and maximum values, and this report relies on the average value.

Plant lifetime (in years), the number of years a typical power plant will be functioning.

IPCC (2014) provides detailed data for some sub-technologies, such as wind onshore and wind offshore, or solar

rooftop and utility. To align this dataset with the IEA’s industry classification, we calculate the average value for

main technology level by sub cumulating average values of the sub-technologies3. All data used in this study is

outlined in Table 2.

Table 2 – Key input data for every power generation technology (IPCC, 2014)

3 Solar PV rooftop is excluded from this analysis, since it is deemed not a relevant investment area for direct infrastructure

investments by the GPFG and in general for large investors. Only Solar PV utility is included.

TechnologyOvernight capital

expenditure

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(average, hr)

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lifetime

Hydropower 1 938 4 850 50

Biomass 3 434 5 350 37

Wind (onshore and offshore) 3 315 2 950 25

Geothermal 5 100 6 600 30

Solar PV (utility) 3 264 1 800 25

CSP (concentrated solar power.) 5 202 2 850 20

Ocean (Marine) 5 508 3 650 20

Coal - PC 2 244 5 550 40

Gas - Combined cycle 1 122 5 550 30

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This study links (i) the amount of money invested annually with (ii) the cost of building power plants with different

power generation technologies, as expressed by overnight cost of capital. Specifically, we match the amount of

capital that can be invested from a 5 percent allocation of the GPFG into renewable energy projects with the average

cost of building 1 kW of electrical capacity, by using equation (1):

(1) 𝐼𝑛𝑠𝑡𝑎𝑙𝑙𝑒𝑑 𝑐𝑎𝑝𝑎𝑐𝑖𝑡𝑦(𝑘𝑊) = 𝐴𝑛𝑛𝑢𝑎𝑙 𝑖𝑛𝑣𝑒𝑠𝑡𝑚𝑒𝑛𝑡

𝑂𝑣𝑒𝑟𝑛𝑖𝑔ℎ𝑡 𝑐𝑜𝑠𝑡

The resulting new installed capacity will be represented by new hydropower plants, solar plants, wind parks,

geothermal facilities, and so on. These plants will generate a given amount of electricity every year, and to estimate

this we apply equation (2):

(2) 𝐴𝑛𝑛𝑢𝑎𝑙 𝑝𝑜𝑤𝑒𝑟 𝑔𝑒𝑛𝑒𝑟𝑎𝑡𝑖𝑜𝑛 = 𝐼𝑛𝑠𝑡𝑎𝑙𝑙𝑒𝑑 𝑐𝑎𝑝𝑎𝑐𝑖𝑡𝑦 ∗ 𝑛𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑓𝑢𝑙𝑙 𝑙𝑜𝑎𝑑 ℎ𝑜𝑢𝑟𝑠 𝑝𝑒𝑟 𝑦𝑒𝑎𝑟

Based on the above, we finally calculate the total electricity generated over the lifetime of the power plant (Figure

3), in order to derive the total electricity generation associated with a 5 percent investment mandate for the GPFG

implemented over the period of 2016-2020 (equation 3):

(3) 𝑇𝑜𝑡𝑎𝑙 𝑙𝑖𝑓𝑒𝑡𝑖𝑚𝑒 𝑝𝑜𝑤𝑒𝑟 𝑔𝑒𝑛𝑒𝑟𝑎𝑡𝑖𝑜𝑛 = 𝐴𝑛𝑛𝑢𝑎𝑙 𝑝𝑜𝑤𝑒𝑟 𝑔𝑒𝑛𝑒𝑟𝑎𝑡𝑖𝑜𝑛 ∗ 𝑙𝑖𝑓𝑒𝑡𝑖𝑚𝑒 𝑖𝑛 𝑦𝑒𝑎𝑟𝑠 𝑓𝑜𝑟 𝑒𝑎𝑐ℎ 𝑡𝑒𝑐ℎ𝑛𝑜𝑙𝑜𝑔𝑦

Figure 3 - Average lifetime of renewable energy technologies (in years) (IPCC 2014).

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#4 The effect of replacing a mix of electricity from fossil energy sources with renewable energy

In order to achieve the goal of limiting the concentration of atmospheric greenhouse gases to 450 ppm by 2050,

renewable electricity generation must replace electricity generated from fossil energy sources. To illustrate the

potential effect on greenhouse gas emissions (measured in carbon dioxide equivalent, CO2 eq. 4

) of a 5 percent GPFG

renewable investment mandate we ask the following question: what are the associated theoretically averted GHG

emissions if the electricity generated from the GPFG’s investment would have instead been generated by a mix of

fossil fuels?

IPCC (2014) provides data on how much greenhouse gas emission is produced per 1 kWh of electricity generated

with different technologies, both renewables and fossil-based. Table 3 shows these emission factors for each

technology, based on average life-cycle emission from electricity generation. We use the median values for our

calculation. Using the emission factors, we calculate the theoretically averted emissions if the same amount of

electricity would have been instead generated using a mix of coal, oil and gas, based on the outlined electrical

capacity mix by the IEA in the period 2016-2020. The mix of fossil fuels is calculated by allocating 100 percent of

the power generation from renewable energy to coal, oil and gas, based on their relative share of installed capacity

in the IEA scenario. The lifetime emission produced by fossil fuels is then matched against the lifetime emission

produced by renewable energy, and the difference between these emission levels constitute the amount of averted

emissions.

Table 3 – Lifecycle greenhouse gas (GHG) emissions of selected electricity supply technologies (gCO2-eq/(kWh) (IPCC 2014)

4 CO2 equivalent is a quantity that describes, for a given mixture and amount of greenhouse gas, the amount of CO2 that would

have the same global warming potential when measured over a specified timescale (generally, 100 years).

Power segment Grams CO2eq/kWh Power segment Grams CO2eq/kWh

Coal 820 Wind (onshore and offshore) 12

Oil (from IPCC 2011) 840 Geothermal 38

Gas - Combined Cycle 490 Solar PV (utility) 48

Nuclear 12 CSP (concentrated solar power.) 27

Hydropower 24 Ocean (Marine) 17

Biomass (cofiring and dedicated) 485

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A photo voltaic solar power station near Caravaca, Andalucia, Spain, with wild flowers. © Global Warming Images / WWF-Canon

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MODELLING RESULT 5 percent investment by the GPFG

If the GPFG invests 5 percent of its market value directly in infrastructure for renewable energy by 2020 – what is

the potential volume of new installed electrical capacity and the associated electricity generation output worldwide?

Figure 4 and 5 summarize the main results from this modelling exercise.

In the first figure, the orange bars represent the new electrical capacity that is added every year due to the

investments by the GPFG, while the blue bars sum up these annual contributions. In total, 5 years of investments

will add 21 163 MW of new capacity, which is equivalent to Belgium’s total installed capacity, or ca. 20 nuclear

reactors.

Figure 4 – Annual and cumulative new installed electrical capacity (MW) resulting from GPFG investing 5 percent in renewable energy production (with 2016-2020 being the investment period).

In the second figure, the blue bars represent the annual electricity generation output (TWh) in a lifetime perspective

(see Figure 3) estimated on the basis of the GPFG´s investment volume from 2016-2020. The orange bar

represents, for comparative purposes, Norway’s hydropower generation output as a constant over time, which was

142 TWh in 2012 (SSB 2014). The GPFG’s investment in electricity generation theoretically results in an average

renewable production of 55 TWh each year from 2016-2069, equivalent to 38 percent of Norway’s total

hydropower generation in 2012. The maximum electricity generation can be observed to be 75 TWh in the period

2020-2040.

Figure 5 - Annual, electricity generation output (TWh) resulting from GPFG investing 5 percent in renewable energy production (with 2016-2020 being the investment period). Blue bars represent the annual electricity output derived from GPFG investment, while the orange line shows Norway’s total hydropower generation in 2012 (142 TWh) for matters of comparison.

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Aggregating the electricity generation over the estimated lifetime of the different renewable technologies gives

2959 TWh, which by comparison is almost equivalent to all electricity generated in the 28 countries of the

European Union in 2012 (3 260 TWh), and 21 times Norway’s annual hydropower production in 2012.

Figure 6 - Comparison of total lifetime electricity generation from GPFG’s investments in renewables (SSB 2014, Eurostat 2014).

If we calculate the amount of emissions averted by generating the same amount of electricity with renewables,

instead of a mix of fossil fuels, the results show that the world would save 1859 million tonnes (Mt) of CO2

equivalent. The following figure puts this number in perspective by comparing it with annual GHG emissions from

different countries and sectors such as aviation.

Figure 7 - Averted GHG emissions from GPFG, compared with other sources (in million tonnes, Mt CO2 equivalent) (UNFCCC 2014, SSB 2014, Ecofys 2013).

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5 percent investment by UNPRI’s signatories

What would happen if other funds would commit to invest 5 percent of their holdings directly into renewable

energy, similar to that of the GPFG as modelled in this study? We decided to apply the same model to a large

number of institutional investors, namely those who signed the United Nations-supported Principles for

Responsible Investment (UNPRI5). The goal of these principles is to support signatories to incorporate

environmental, social, and corporate governance (ESG) issues into their investment decision making and

ownership practices. Hence, UNPRI signatories is a population of investors relevant for the consideration of which

investors that may pioneer in scaling up renewable energy investments.

In 2014, there were 1318 institutions signing the principles: 284 asset owners, 851 investment managers and 183

professional service partners, all together managing about 45 trillion and representing roughly half the total assets

controlled by institutional investors worldwide (83 trillion). The signatories of the UNPRI as such is 50 times the

size of the GPFG.

In our case study, we analyse what would be the effect on added renewable energy capacity and averted emissions

if all UNPRI’s signatories would follow exactly the same investment pattern as the GPFG (i.e. starting to invest

directly into renewable energy infrastructure in 2015 and reach 5 percent of their market value by 2020). While we

acknowledge that this would be a very optimistic achievement, we underline that this exercise is useful to make a

comparison with the previous simulation. The model can then be used in further exercises to test different time

periods and a longer time horizon. For this reason, we developed a free web-based calculator that can be used to

easily use our model with other investment cases.

Figure 8 summarizes the main results from this modelling exercise. The green bars represent the annual electricity

generation output (TWh) in a lifetime perspective estimated on the basis of the UNPRI’s investment volume from

2016-2020, assuming an arbitrary growth rate of the UNPRI fond around global inflation levels of 2 percent

annually. The orange line represents, for comparative purposes, EU-28’s power generation output, which was 3

260 TWh in 2012 (IEA 2014). The UNPRI’s investment in electricity generation theoretically results in an average

renewable energy production of 2 267 TWh per year from 2016-2069, equivalent to 70 percent of EU’s annual

power generation in 2012. The maximum electricity generation can be observed to be 3 101 TWh in the period

2020-2040.

Figure 8 – The green bars represent the annual electricity generation (TWh) resulting from all UNPRI’s signatories investing 5 percent in renewable energy production (with 2016-2020 being the investment period, and the plants producing electricity until their end of life). The orange line shows EU-28’s total power generation (3260 TWh) in 2012 for matters of comparison.

5 http://www.unpri.org/

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Aggregating the electricity generation over the estimated lifetime of the different renewable technologies gives 122

427 TWh, which by comparison is 5 times the total electricity generated in the world in 2012 (22 721 TWh), and

24 times China’s annual power production in 2012.

Figure 9 - Comparison of total lifetime electricity generation from GPFG’s investments in renewables (IEA 2014).

If we calculate the amount of emissions averted by generating the same amount of electricity with renewables,

instead of a mix of fossil fuels, the results show that the world would save 76 944 Mt CO2 eq., equal to 2 times the

world’s annual (2011) GHG emissions and 7 times China’s annual GHG emissions. The following figure puts this

number in perspective.

Figure 10 - Averted GHG emissions from GPFG, compared with other sources (in million tonnes CO2 equivalent) (IEA 2014).

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5 percent investment by CERES’s International Network on Climate Risk

Our third case encompasses the Investor Network on Climate Risk (INCR), launched and managed by CERES,

representing over 100 institutional investors and more than $13 trillion in assets.

In the simulation, we analyse what would be the effect on added capacity and emissions if all signatories would

follow exactly the same investment pattern as the GPFG (i.e. starting to invest directly into renewable energy

infrastructure in 2015 and reach 5 percent of their market value by 2020). Similar to the case of the UNPRI

investors, we apply a 2 percent growth rate to the total market value of the signatories ($13 trillion)

Figure 11 summarizes the main results from this modelling exercise. The green bars represent the annual electricity

generation output (TWh) in a lifetime perspective, estimated on the INCR’s investment volume from 2016-2020.

The orange line represents, for comparative purposes, EU-28’s power generation output, which was 3 260 TWh in

2012 (IEA 2014). The investment in electricity generation theoretically results in an average renewable production

of 655 TWh per year from 2016-2069, equivalent to 20 percent of EU’s annual power generation in 2012. The

maximum electricity generation can be observed to be 896 TWh in the period 2020-2040.

Figure 11 – The green bars represent the annual electricity generation (TWh) resulting from all CERES’s signatories investing 5 percent in renewable energy production (with 2016-2020 being the investment period). The orange line shows EU-28’s total power generation in 2012 for matters of comparison.

Aggregating the electricity generation over the estimated lifetime of the different renewable technologies gives

35368 TWh, which by comparison is 1,6 times the total electricity generated in the world in 2012 (22 721 TWh),

and 7 times China’s annual power production in 2012.

Figure 12 - Comparison of total lifetime electricity generation from INCR-CERES’s investments in renewables (IEA 2014).

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If we calculate the amount of emissions averted by generating the same amount of electricity with renewables,

instead of a mix of fossil fuels, the results show that the world would save the equivalent of 2 times China’s annual

GHG emissions in 2012 and 4 times USA’s annual GHG emissions. The following figure puts this number in

perspective.

Figure 13 - Averted GHG emissions from INCR-CERES, compared with other sources (in million tonnes) (IEA 2014).

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DISCUSSION

Technical discussion on the model

The calculations presented in this report are a theoretical exercise to illustrate the effect of investing 5 percent of a

fund’s market value into renewable energy, seeking to estimate the new added power generation capacity, electricity

production and the averted GHG emissions. In this section, we discuss some key issues and limitations related to

this methodology.

Additionality

In the real world, the modelled volume of investment would not alone, nor automatically, lead to the construction

of new renewable energy capacity. The development of projects depends on many different factors such as policies,

regulations, incentive schemes, subsidies, quotas, cost development, needs for associated transmission and

distribution infrastructure, etc. (CPI 2013; OECD, 2015b). Availability of capital is one of the many necessary

factors. The authors are aware that the investment of the GPFG would not act in a vacuum, but in concert with all

other economical, regulatory, technological, social, environmental, and market factors. In this model, however, we

make the assumption that all money invested by the GPFG would fund projects that would not have happened

otherwise. This is a simplistic assumption in line with the goal of the report, which is to show the theoretical

potential, and not make a real-world investment case and a realistic estimation of the added capacity given a certain

investment volume.

Future costs of electricity

The cost of renewable energy has dramatically reduced in the past years, and the trend continues due to factors

such as economies of scale, better financing mechanisms, and technology developments (UNEP 2015, BNEF,

2015b). Some technologies like biomass, hydropower, geothermal and onshore wind are already competitive with

or cheaper than coal, oil and gas-fired power stations, even without financial support and despite falling oil prices

(IRENA, 2014). The price of solar PV module costs fell 75 percent since the end of 2009, and all projections expect

further reductions. BNEF (2015b) expects that solar project costs will fall by 47 percent and wind project costs by

32 percent between now and 2040. Deutsche Bank (2015) has recently forecasted that solar system costs will

decrease 5-15 percent annually over the next 3 years, and that this could result in solar being at grid parity in up to

80 percent of the global markets within few years.

Our model does not take into account this reduction in prices, as it assumes that today’s costs will stay the same.

Conversely, we do not consider decreasing efficiency of the power generators, which usually occurs as power plants

get older.

Considerations on deriving electricity capacity/generation from investment levels

In our analysis, we “convert” money into electricity generation output by using overnight cost of capital, capacity

utilization and average lifetime of the power plants. While this is a straightforward and accepted methodology,

overnight costs of capital do not give a realistic reflection of the construction costs, which would include also for

example financing costs, inflation, costs associated with delays or other unforeseen costs that may arise during the

construction period. However, overnight cost of capital may be useful to compare the economic feasibility of

building various plants at a very high level.

Furthermore, we do not consider financial structures in infrastructure financing, including the presence of

debt/equity ratios and pooled investments. In other words, we make the very simplistic assumption that the

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investor would cover 100 percent of the capital need in a project. This is however not common in practice, since

usually several investors pool equity capital together, and projects will have a certain amount of debt capital. This

implies that our model does not include a potential catalysing effect where one investor may unlock investment

and credit from other institutions.

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What is the role of investments to be able to stay below 2-degrees global warming?

The international community has agreed on the common target of keeping global warming below 2-degrees, and

the concentration of greenhouse gases below 450ppm, in order to avoid the most catastrophic consequences of

climate change. To do so, we need a major transformation of our energy system.

The IEA (2014a) has developed the so-called 450S scenario in which it outlines how the electricity mix should

change in order to keep the GHG emissions within the limit of 450ppm. This scenario is available for the period

2020-2040, and the figure 14 shows the vast changes in the electricity mix which occur under this scenario. This

figure shows that there is an urgent need to reduce the consumption of coal substantially and that renewable energy

needs to become the dominant source of electricity worldwide just 20 years from now. In particular by 2040 the

cumulative reduction of coal in the global electricity mix (-22 percentage points) need to be replaced by an

approximately equivalent increase in the share of renewable power generation (+24 percentage points). In addition

to a shift from fossil to renewables, the IEA clearly underlines the necessity to reduce the consumption of electricity

by applying energy efficiency to all relevant sectors of society (transport, building, industry, etc.).

It’s difficult to imagine how all this this could happen if the financial market, and investors like the Norwegian

Government Pension Fund, do not shift their investments away from fossil fuels and into renewable energy and

energy efficiency.

Figure 14 – How the electricity mix changes in the IEA’s 450S scenario, 2020-2040. (IEA, 2014a)

Assuming that there will be a regulatory and technological enabling environment to foster to radical shift in how

electricity is produced, what are the financing needs to make this shift happen? Following the focus of this report,

we have conducted an investigation of secondary literature sources to assess if there is a practical estimation of the

needed upscaling of renewable energy investment in context of achieving the 450S scenario. We have conducted a

limited literature review, investigating IEA (2012); UNEP (2013); IPCC (2011); BNEF (2013), CPI (2013) and

CERES (2014). From this review, we found little coherence between the different estimates and a general lack of

details around the 2-degree scenario, which could not enable us to conduct a more rigorous comparison of the

different estimations available. In particular, we can highlight the following main challenges: (1) several sources

lack clarity in terms of defining the boundaries of what constitutes the “energy sector”; (2) there is a variability in

terms of whether transmission and distribution is included in determining the overall investment need; (3) little

12 %18 %

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consistency in whether large hydropower is in/excluded (4); lack of data on the distribution of financial investment

from e.g. direct investment, R&D, private equity etc. and, (5) generally that financing needs not necessarily are

investment needs estimates does focus on the investment levels needed to achieve the 450S scenario. Estimates –

which are not directly comparable - of annual investment required in a 2-degree scenario range from USD 210

billion for the nearest period up to 2020, to more than USD 500 billion per year in the period up to 2035. After our

first review, the International Energy Agency published the “Special Report: World Energy Investment Outlook”

(IEA, 2014b) which, for the first time, provided a more complete picture of global energy investment trends and

needs. Although the report provides full details only on the central scenario, it contains enough details on the 450S

to derive all the figures we needed for our study, and we have therefore decided to use those estimates to provide a

context for our results.

The IEA’s report provides an estimate of what are the cumulative investment needs in both power generation –

differentiating between nuclear, fossil fuels and renewables – and for transmission and distribution.

The cumulative investment need in renewable energy power generation for the period 20154-2035 amounts to USD

8.8 trillion, which is equal to a simple yearly average of USD 400 bn. To put this figure in perspective, the latest

estimates (UNEP, 2015) for current investments in clean energy amounts to USD 243,5 billion, with USD 170bn in

utility-scale renewable energy (projects larger than 1MW), also called asset finance, and USD 73,5bn in small

distributed capacity projects financing.

In addition to power generation facilities, the IEA also estimates that the amount of investment required in

transmission and distribution equals USD 72 billion and USD 194 billion per year respectively.

These figures provide a context to the results of our model. On the basis of the yearly average estimate provided by

IEA (2014b), coupled with our estimation of how much a 5 percent allocation to direct renewable energy investment

constitutes for the cases studied in our report, it can be observed that if all UNPRI’s signatories would commit to

such an investment strategy, that would fulfil the required investment need. Further, the GPFG and the CERES

coalition could alone provide respectively for 3 percent and 35 percent of the required investment within the 450S

scenario.

Figure 15 – Annual investment required in the IEA’s 450 scenario (purple line) and comparison with annual investments from GPFG, UNPRI and CERES to achieve a 5 percent target within 2020. In billion USD.

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© Shutterstock / isak55 / WWF

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REFERENCES Bloomberg (2013). Peak fossil fuels is closer than you think: BNEF. http://www.bloomberg.com/news/articles/2013-04-24/-peak-fossil-fuels-is-closer-than-you-think Bloomberg (2015a). Fossil fuels just lost the race against renewables. http://www.bloomberg.com/news/articles/2015-04-14/fossil-fuels-just-lost-the-race-against-renewables Bloomberg New Energy Finance – BNEF (2014). Global trends in clean energy investments. Bloomberg New Energy Finance - BNEF (2015b). New Energy Outlook. http://www.bloomberg.com/company/new-energy-outlook/ Central Intelligence Agency (2014) The World Factbook. Retrieved September 2014. CERES (2014) Investing in the Clean Trillion: Closing The Clean energy Investment gap. January 2014. Deutsche Bank (2015). Solar Outlook. Available at: https://www.db.com/cr/en/concrete-deutsche-banks-2015-solar-outlook.htm?kid=crpvoutlook.inter-twen.tw Ecofys (2013). World GHG emissions flow chart 2010. Available at http://www.ecofys.com/files/files/asn-ecofys-2013-world-ghg-emissions-flow-chart-2010.pdf Eurostat (2014). Energy Statistics. Carbon Tracker Initiative (2014). Oil and gas majors: fact sheets. http://www.carbontracker.org/wp-content/uploads/2014/09/CTI-Oil-Gas-Majors-Company-Factsheets-August-2014-FULL.pdf Climate Policy Initiative (2013). The challenge of institutional investments in renewable energy March 2013. Kaminker et al. (2013) Institutional Investors and Green Infrastructure Investments: Selected Case Studies. OECD Working Papers on Finance, Insurance and Private Pensions, No.35, OECD Publishing. Intergovernmental Panel on Climate Change (2011) IPCC Special Report on Renewable Energy Sources and Climate Change Mitigation. Cambridge University Press, Cambridge; New York. Available at: http://www.ipcc.ch/report/ar5/wg3/ Intergovernmental Panel on Climate Change (2014) Working Group III contribution to the IPCC 5th Assessment Report "Climate Change 2014: Mitigation of Climate Change». IPCC, Geneva. International Energy Agency (2010). Projected Costs of Generating Electricity‐2010 Edition. IEA, Paris, France. International Energy Agency (2012).Energy Technology Perspectives 2012. OECD/IEA. International Energy Agency (2013). World Energy Outlook 2013. OECD/IEA. International Energy Agency (2014a). World Energy Outlook 2014. OECD/IEA. International Energy Agency (2014b). Special report World Energy Investment Outlook. OECD/IEA. International Energy Agency (2015a). Medium-Term Renewable Energy Market Report 2015. OECD/IEA. International Energy Agency (2015b). Tracking Clean Energy Progress 2015. IRENA (2014), REthinking Energy: Towards a new power system. International Renewable Energy Agency, Abu Dhabi. IRENA (2015a) Renewable Power Generation Costs in 2014. International Renewable Energy Agency, Abu Dhabi. Mercer (2015). Investing in a time of climate change. Norwegian Ministry of Finance (2014) Projection fund size, from the revised National Budget 2014. Latest update 28.08.2014. Available at: http://www.nbim.no/en/the-fund/market-value/forecast-for-the-size-of-thefund-/

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OECD (2013). Annual survey of large pension funds and public pension reserve funds. October 2013. OECD (2015a). Enabling Investment in Sustainable Energy Infrastructure. http://www.oecd.org/dac/POST-2015%20sustainable%20energy.pdf OECD (2015b). Overcoming Barriers to International Investment in Clean Energy. http://oecdinsights.org/2015/06/09/overcoming-barriers-to-international-investment-in-clean-energy/ Statistics Norway (2014) Electricity, annual figures, 2012. Published: 28 March 2014 http://www.ssb.no/en/energi-og-industri/statistikker/elektrisitetaar UNEP (2013). Global Trends in Renewable Energy Investment 2013. Frankfurt School-UNEP Collaborating Centre for Climate & Sustainable Energy Finance and Bloomberg New Energy Finance. UNEP (2015). Global Trends in Renewable Energy Investment 2015. Frankfurt School-UNEP Collaborating Centre for Climate & Sustainable Energy Finance and Bloomberg New Energy Finance. UNFCCC (2014). GHG emission profiles for Annex I Parties and major groups. Retrieved September 2014 at http://unfccc.int/ghg_data/ghg_data_unfccc/ghg_profiles/items/4625.php UN (2014), The New Climate Report, http://newclimateeconomy.report/ Wall Street Journal (2015). Oil Companies’ Spending Cuts Unlikely to Be Enough. http://www.wsj.com/articles/oil-companies-spending-cuts-unlikely-to-be-enough-1438720142 World Resource Institute (2014) Total GHG Emissions Including Land-Use Change and Forestry 2011 http://cait2.wri.org

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© N

AS

A

21 GW

1859 MT

$59 BILLION 55 TWH

new installed capacity, equivalent to 7 000 wind turbines.

5% of the GPFG* invested in renewable power in 2020.

average electricity generated every year in 2016-2069. It can power 9 million people in Europe.

*The Norwegian Government Pension Fund Global (GPFG) is world’s largest sovereign wealth fund, holding more than one percent of the world’s stocks.

lifetime avoided green-house gas emissions, equal to 3 times the annual emissions of the aviation sector.

FIVE PERCENT RENEWABLE ENERGY INVESTMENTS IN A TWO DEGREES WORLD

WWF.NOFIVE PERCENT RENEWABLE ENERGY INVESTMENTS IN A TWO DEGREES WORLD

WWF-Norway, Organisation No 952330071 and registered in Norway with reg.nos.© 1989 panda symbol and ® “WWF” registered trademark of Stiftelsen WWF Verdens Naturfond(World Wide Fund for Nature), WWF-Norway, P.O.Box 6784 St Olavs plass, N-0130 Oslo,tel: +47 22 03 65 00, email: [email protected], www.wwf.no

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To stop the degradation of the planet’s natural environment andto build a future in which humans live in harmony with nature.