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Modelling the EU’s Long-Term Strategy towards a carbon-neutral energy system

The COP21 UNFCCC conference in Paris in December 2015 flagged a new era for energy and climate policy. Climate change mitigation turned from being the wish of a few, to the reality of almost all nations around the globe. The signed agreement has invited all parties to submit, by 2020, mid-century low-emission strategies compatible with the goal of limiting the rise in average global temperatures to well below 2oC above pre-industrial levels and pursuing efforts to limit it to 1.5oC.

The aim of a low carbon economy has been on the EU policy agenda since the release of its “Low carbon economy roadmap” in 2011 that introduced an 80% GHG emission reduction target for the year 2050 relative to 1990 levels. However, pursuing the 1.5oC temperature increase limit requires boosting even more the ambitious climate target and aiming at a carbon-neutral economy by mid-century. Given the new climate policy regime, the discussions around low, zero, or even negative carbon policy options have been intensified in the years following the Paris milestone; new quantitative analysis, in the form of detailed policy scenarios, strategies and quantitative pathways, is necessary to assist EU policy makers in assessing the available options from both a technological and economic perspective, while also considering societal and governance issues. Many research discussions, debates and synergies in the modelling communities, have been triggered after the COP21 conference, as new innovative concepts need to be introduced and enrich existing modelling frameworks, in order for the latter to be able to perform the appropriate deep decarbonisation scenarios and provide sound input to impact assessment studies.

Certain key policy elements and technologies are considered pillars of the low-carbon transition and are treated as “no-regret” options in all recent EU climate and energy policy discussions. Such policy options are the strong electrification of final energy demand sectors, accelerated energy efficiency mainly via the renovation of the existing buildings’ stock, advanced appliances, heat recovery in the industrial sector and intelligent transportation, and the strong push of variable renewable energy sources (RES) in the power system. From a modelling point of view, their assessment is well established in the literature, and does not pose any considerable, unpresented difficulties. However, the modelling of disruptive technologies and policy instruments that could be proven essential for the transition towards a carbon-neutral EU economy (a case that requires GHG emission reductions beyond the 80% target) is far from being considered as mature in the existing literature or academic research. Modelling a power sector with renewables above 80% is a challenge as it requires representing variability in some detail along with the various balancing resources including cross-border trade. Modelling strong energy efficiency in buildings implies representing the decision of individuals about renovating the buildings deeply; this is also a challenging modelling task give the large variety of building cases and idiosyncrasies of the individuals in decision making. Electrifying heat and mobility in market segments where this is cost-efficient is among the no-regrets option. Modelling the pace of transition and the role of policy drivers from internal combustion engines to electric cars and from boilers to heat pumps are also challenging tasks due to the large heterogeneity of circumstances that the modelling will have to capture. So, the amplitude of the three main no-regrets options is challenging the modelling despite the significant experience accumulated so far. 

The carbon-neutrality target poses considerable additional challenges for the modelling. The no-regrets options are not sufficient to deliver carbon-neutrality by mid-century. Mobility, heating, high-temperature industrial uses and the industrial processes would emit significant amounts of CO2 by 2050 if conventional wisdom policies and measures only apply. To abate the remaining emissions in these sectors, disruptive changes are necessary, regarding the origin of primary energy and the way energy is used and distributed. The disruptive options are surrounded by high uncertainty due to the low technology readiness levels of the technologies involved. The disruptive options are antagonistic to each other because they require large funding resources to achieve industrial maturity and economies of scale of the yet immature technologies. Such concentration of resources requires long-term visibility for the investors and infrastructure investment, which both require clear strategic choices among the disruptive options.

We consider the “disruptive” options grouped in stylised categories, as shown below. The modelling has to include assumptions regarding the future evolution of costs and performance of a plethora of technologies and options for alternative sets of disruptive changes had to represent. Each stylized category of disruptive changes has its own challenges in terms of modelling considerations, as presented below:

  1. Extreme Efficiency and Circularity: The aim of the options included in this category is to push energy efficiency savings close to its maximum potential, introducing circularity aspects and further improving material efficiency in the EU economy, increasing the intelligence of the transport system, sharing of vehicles, achieving near-zero energy building stock, etc. Even though these concepts are present in the literature, introducing them in a large-scale applied modelling framework poses significant difficulties as, for instance, estimating the maximum industrial output reductions that can be realised at a sectoral level. It also required estimating the upper boundaries of the impact of behavioural and restructuring changes in the transport sector in reducing transport activity. Similarly, modelling a near-zero energy building stock involves great difficulties regarding the driving policies and the idiosyncratic behaviours of individuals. Almost all options included in this category are associated with non-linearly increasing costs, beyond a certain level of deployment that needs to be captured in the quantitative assessment. Some of the options might also create so-called “disutility” to the consumers, as they alter their behaviour to an eventually less “comfortable” patterns. Not capturing such effects, would underestimate the difficulty in the introduction of such policy options.
  1. Extreme Electrification: Strong electrification is a “no-regret” option, but extreme electrification is a relative newly established concept. This category adopts electricity as the single energy vector in all sectors in the long-term, with bioenergy complementing electricity only in sectors where full electrification is not technically feasible with currently known technologies, such as aviation and maritime. From a modelling perspective, deep electrification requires to studying the technoeconomic of innovative technological options such as full-electric long-distance road freight vehicles, electric aircrafts for short-haul flights and high temperature heat pumps. Using electricity as the only vector for the heating of buildings will broaden the seasonal demand gap between the summer and winter seasons for many regions, requiring either significant investments in power storage solutions or in power capacity that will have low utilisation. Capturing this in the modelling requires establishing electricity load patterns that differ by scenario at an appropriate time resolution.
  1. Hydrogen as a carrier: This category assumes that hydrogen production and distribution infrastructure will develop allowing hydrogen to become a universal energy commodity, covering all end-uses including transport and high-temperature industrial uses. Hydrogen can also provide a versatile electricity storage service with daily up to seasonal storage cycles. Hydrogen is assumed to replace distributed gas after an extensive overhaul of the pipeline system and gas storage facilities. From a modelling perspective it requires identifying the industrial processes that can be decarbonised using hydrogen-based solutions (and the relative boundary conditions), assessing the techno-economics of a variety of carbon-free hydrogen production facilities (for both blue and green hydrogen) and the costs associated with the upgrade of the gas distribution and storage system. All the above, should be established in a modelling framework that is available to co-optimise the operation of the power system and the hydrogen production facilities, enhancing in this way energy storage and coupling various sectors of the energy system and the economy.
  1. GHG-neutral hydrocarbons (liquid and gaseous): In this case, the paradigm of using and distributing energy commodities, along with the respective infrastructure, is maintained. The nature and origin of the hydrocarbon molecules is modified in order to ensure carbon neutrality from a lifecycle emissions perspective, using synthetic molecules rather than fossil ones. The production of synthetic methane and liquid fuels requires carbon-free hydrogen production and an appropriate carbon dioxide (CO2) feedstock source. The last element hints at the emergence of CO2 as a commodity, therefore it is important that energy-economy models are modified in order to treat CO2 not only as a by-product of fossil fuel combustion, as it was done till recently, but as a product that can be used for different purposes (e.g. apart from producing GHG-neutral fuels, creating carbon sinks and inducing net negative emissions via embodying it in materials or storing it underground). The origin of CO2 can either “from air” via using Direct Air Capture (DAC) technologies or by biogenic sources; both of them have uncertainties related to its learning potential and maximum availability potential, respectively. For the production of hydrogen, similar modelling considerations as in the previous case apply. A model able to represent effectively this strategy should have a rich technology database that explicitly includes the major pathways for the production of synthetic fuels; in turn populating such a database is a difficult and time-consuming exercise given the uncertainty regarding the learning potential of the various technologies. Ideally, a model should be in a position to optimise of the location of clean-fuel production facilities in Europe or elsewhere, as it is more likely that such commodities will be traded extensively.

The analytical assessment, which has provided input to the “Clean Planet for All” strategy by the European Commission in November 2018, has confirmed that a carbon-neutral EU economy by mid-century (2050) is viable both from a technological but also an economic perspective, should a number of key technologies evolve as anticipated. The analysis should be perceived as the first step of a complex assessment procedure to bolster the decision-making process regarding the definition of the EU’s long term energy and climate strategy.

Next steps should focus on the assessment of several uncertainties associated with the various pathways studied. For instance, emphasis should be given to identifying the appropriate policy instruments that could be used to materialise the emergence of technologies and energy carriers as long-term visibility of future markets is crucial for their deployment. The characteristics and costs of several disruptive technologies are also worthy of further research with emphasis on the potential of learning and economies of scale. The modelling and data improvements to be realised in INNOPATHS will enhance the model representation of disruptive options and sectoral transformation, and will enable further improvement of the design of deep decarbonisation pathways.

For more information on the analytical work behind the “Clean Planet for All” communications, please click here.

Can energy efficiency be market-based?

Energy efficiency is widely recognised as the “first fuel” of decarbonised energy systems of the future, and is an unquestionable pillar of the EU’s ‘Energy Union’. It is one of the most cost-effective options to accelerate the transition to a low carbon economy and may enable achievement of other socioeconomic goals, such as boosting economic growth and employment, and reducing energy poverty. However, nowadays the current paradigm of European approach is aimed at removing market barriers and to make energy efficiency progress based on market instruments creating win-win opportunities for both supply and demand sides. Will this happen in the near future? Can we make energy efficiency a real energy resource in a competitive energy market?

The Role of Market-Based Instruments (MBI)

Historically, the adoption of energy efficiency technologies and practices has often required public subsidies. Out of the public eye, the number of energy efficiency obligation schemes around the world (including white certificate programmes) is growing. A similar trend can be observed for the second type of MBIs – auctions (including tendering programmes), where bids are collected for funds to deliver specific energy savings. According to a recent IEA report, the number of MBIs has quadrupled over the last decade, while the value of investments triggered by MBIs has increased six-fold over the same time. As a result, global energy consumption was approximately 0.4% lower than it would have been otherwise. The IEA further expects that by 2025, energy savings induced by auctions will double to more than the current energy consumption of Poland.

Speaking about Poland

The Energy Efficiency Obligation imposed by Article 7 of the Energy Efficiency Directive requires that Member States ensure that energy suppliers and distributors achieve energy savings of 1.5% per year. In Poland, the obligation has been implemented in the form of a white certificate scheme. Polish experiences with white certificates can serve as an example showing that learning a lesson and a proper (re)design of the obligation schemes by the government may bring promising results. The first version of the scheme was introduced in 2011 and turned out to be complicated, unclear and costly. After major changes introduced in 2016, the application as well as measurement and verification procedures were significantly simplified. As a result, it is expected that the market value of white certificates in Poland in the years 2016-2020 will be approximately 1 billion euro, leading to an electricity price increase of 1.3% in 2020.

But is it more cost-efficient than grants?

At first glance, the answer to this question is positive. However, according to IEA, there is not enough evidence which would prove that efficiency outcomes delivered by MBIs are always more cost-effective than energy savings reached through other means, such as grants. Still, existing data show that savings can be made at a low cost. These observations suggest that not only further research, but also longer timeframes of obligation schemes’ operation are needed to profoundly address this question and design future energy efficiency policies in an effective and efficient manner.

Future outlook: pink glasses of MBIs’ designers

Policy-makers are acknowledging the potential of MBIs. In November 2016, the European Commission announced its “Clean Energy for All Europeans” proposals, which set a 30% energy efficiency target for 2030, to be achieved largely through strengthening and extending existing policy mechanisms, including Energy Efficiency Obligation Schemes (EEOS). Hailed as a great success by the EC, Article 7 is being amended to extend the obligation period beyond 2020 to 2030. The EC expects EEOS to generate the highest amount of savings by 2020 of a single measure notified under Article 7 (86.1 Mtoe), with much smaller savings reached thanks to fiscal incentives (49.0 Mtoe), energy and CO2 tax measures (34.4 Mtoe) and regulations and voluntary agreements (27.1 Mtoe). Recently, the targets proposed by the Commission have been pushed even further by the European Parliament’s energy and industry committee (ITRE). On 28 November 2017, ITRE supported a 40% binding overall target for 2030, with binding national targets, as well as strong rules on annual energy savings. In sharing experiences and expertise with a smart MBI design across countries, interaction between policy makers and researchers will be essential in ensuring these targets are successfully achieved.

Written by Ewa Stefaniak, Maksymilian Kochański, and Katarzyna Korczak
Warsaw University of Technology

INNOPATHS workshop on the ‘Dynamics of low-carbon energy finance’

On 21 September, Utrecht University School of Economics (U.S.E.) hosted the workshop “Dynamics of low-carbon energy finance” as part of the EU commission sponsored Horizon 2020 project INNOPATHS.

In three consecutive sessions, 18 participants from the financial sector, international organisations and academia discussed the financial implications of a low-carbon transition of the European Economy until 2050.

Future energy scenarios and corresponding technology mixes have differential implications for the sources of finance. Especially energy efficiency projects pose challenges to banks and other institutional investors. But also renewable power projects still face technology operation risks and political risks. In addition to debt-providers, the energy transition requires risk-bearing capacity. In this regard state investment banks that prove the investment case are crucial for financing innovative energy technologies.

Read the summary here

 

We must accelerate transitions for sustainability and climate change, experts say

We must move faster towards a low-carbon world if we are to limit global warming to 2oC this century, experts have warned.

Changes in electricity, heat, buildings, industry and transport are needed rapidly and must happen all together, according to research from our partners at the Universities of Sussex. The new study, published in the journal Science, was co-authored by INNOPATHS’ Benjamin K. Sovacool.

To provide a reasonable (66%) chance of limiting global temperature increases to below 2oC, the International Energy Agency and International Renewable Energy Agency suggest that global energy-related carbon emissions must peak by 2020 and fall by more than 70% in the next 35 years. This implies a tripling of the annual rate of energy efficiency improvement, retrofitting the entire building stock, generating 95% of electricity from low-carbon sources by 2050 and shifting almost entirely towards electric cars.

This elemental challenge necessitates “deep decarbonisation” of electricity, transport, heat, industrial, forestry and agricultural systems across the world.  But despite the recent rapid growth in renewable electricity generation, the rate of progress towards this wider goal remains slow.

Moreover, many energy and climate researchers remain wedded to disciplinary approaches that focus on a single piece of the low-carbon transition puzzle. A case in point is a recent Science Policy Forum proposing a ‘carbon law’ that will guarantee that zero-emissions are reached. This model-based prescription emphasizes a single policy instrument, but neglects the wider political, cultural, business, and social drivers of low carbon transitions.

A new, interdisciplinary study published in Science presents a ‘sociotechnical’ framework that explains how these different drivers can interlink and mutually reinforce one another and how the pace of the low carbon transition can be accelerated.

Professor Benjamin K. Sovacool from the University of Sussex, a co-author on the study, says:

“Current rates of change are simply not enough. We need to accelerate transitions, deepen their speed and broaden their reach. Otherwise there can be no hope of reaching a 2 degree target, let alone 1.5 degrees. This piece reveals that the acceleration of transitions across the sociotechnical systems of electricity, heat, buildings, manufacturing, and transport requires new conceptual approaches, analytical foci, and research methods.”

The Policy Forum provides four key lessons for how to accelerate sustainability transitions.

Lesson 1: Focus on socio-technical systems rather than individual elements

Rapid and deep decarbonization requires a transformation of ‘sociotechnical systems’ – the interlinked mix of technologies, infrastructures, organizations, markets, regulations and user practices that together deliver societal functions such as personal mobility.  Previous systems have developed over many decades, and the alignment and co-evolution of their elements makes them resistant to change.

Accelerated low-carbon transitions therefore depend on both techno-economic improvements, and social, political and cultural processes, including the development of positive or negative discourses. Professor Steve Sorrell from the University of Sussex, a coauthor of the study, states: “In this policy forum we describe how transformational changes in energy and transport systems occur, and how they may be accelerated. Traditional policy approaches emphasizing a single technology will not be enough.”

Lesson 2: Align multiple innovations and systems

Socio-technical transitions gain momentum when multiple innovations are linked together, improving the functionality of each and acting in combination to reconfigure systems.  The shale gas revolution, for instance, accelerated when seismic imaging, horizontal drilling, and hydraulic fracturing were combined.   Likewise, accelerated low-carbon transitions in electricity depend not only on the momentum of renewable energy innovations like wind, solar-PV and bio-energy, but also on complementary innovations including energy storage and demand response.  These need aligned and then linked so that innovations are harmonized.

Prof. EU INNOPATHS consortium researching low-carbon transitions for Europe, comments: “One of the great strengths of this study is the equal emphasis it accords to technological, social, business and policy innovation, in all of which governments as well as the private sector have a key role to play.

“European countries will become low-carbon societies not only when the required low-carbon technologies have been developed but when new business models and more sustainable consumer aspirations are driving their deployment at scale. Public policy has an enormous role to play at every step in the creation of these changed conditions.”

Lesson 3: Offer societal and business support

Public support is crucial for effective transition policies. Low-carbon transitions in mobility, agro-food, heat and buildings will also involve millions of citizens who need to modify their purchase decisions, user practices, beliefs, cultural conventions and skills. To motivate citizens, financial incentives and information about climate change threats need to be complemented by positive discourses about the economic, social and cultural benefits of low-carbon innovations.

Furthermore, business support is essential because the development and deployment of low-carbon innovations depends upon the technical skills, organizational capabilities and financial resources of the private sector. Green industries and supply chains can solidify political coalitions supporting ambitious climate policies and provide a counterweight to incumbents.  Technological progress can drive climate policy by providing solutions or altering economic interests. Shale gas and solar-PV developments, for instance, altered the US and Chinese positions in the international climate negotiations.

Lesson 4: Phase out existing systems

Socio-technical transitions can be accelerated by actively phasing out existing technologies, supply chains, and systems that lock-in emissions for decades. Professor Sovacool comments that: “All too often, analysists and even policymakers focus on new incentives, on the phasing in of low-carbon technologies. This study reminds us that phasing out existing systems can be just as important as stimulating novel innovations.”

For instance, the UK transition to smokeless solid fuels and gas was accelerated by the 1956 Clean Air Act, which allowed cities to create smokeless zones where coal use was banned. Another example is the 2009 European Commission decision to phase-out incandescent light bulbs, which accelerated the shift to compact fluorescents and LEDs. French and UK governments have announced plans to phase-out petrol and diesel cars by 2040. Moreover, the UK intends to phase out unabated coal-fired power generation by 2025 (if feasible alternatives are available).

Phasing out existing systems accelerates transitions by creating space for niche-innovations and removing barriers to their diffusion. The phase-out of carbon-intensive systems is also essential to prevent the bulk of fossil fuel reserves from being burned, which would obliterate the 2oC target. This phase-out will be challenging since it threatens the largest and most powerful global industries (e.g. oil, automobiles, electric utilities, agro-food, steel), which will fight to protect their vested economic and political interests.

Conclusion 

Deep decarbonization requires complementing model-based analysis with socio-technical research. While the former analyzes technically feasible least-cost pathways, the latter addresses innovation processes, business strategies, social acceptance, cultural discourses and political struggles, which are difficult to model but crucial in real-world transitions. As Professor Geels notes, an enduring lesson is that “to accelerate low-carbon transitions, policymakers should not only stimulate techno-economic developments, but also build political coalitions, enhance business involvement, and engage civil society.”

Additionally, the research underscores the non-technical, or social, elements of transitions.  Dr. Tim Schwanen from the University of Oxford, a coauthor, states that “the approach described in this Policy Forum demonstrates the importance of heeding insights from across the social sciences in thinking about low-carbon transitions.”

While full integration of both approaches is not possible, productive bridging strategies may enable policy strategies that are both cost-effective and socio-politically feasible.

Further links

This article was originally posted on the University of Sussex website.

Click here to read the full paper in Science

Technological innovation “trumps” politics

Technological innovation, often induced by national and sub-national policies, is a key driver of global climate and energy policy ambition and action. Donald Trump’s decision to pull out of the Paris Agreement will hardly affect this trend.

US President Donald Trump recently decided to pull out of the Paris Agreement. Will this be the beginning of the end for an international agreement that took two decades to reach? To answer this question it is important to understand why the Paris Agreement was signed by 195 countries in the first place – only six years after the failure of the Copenhagen conference.

Many political analysts argue that – besides French diplomacy – the key driver of Paris was that emission reduction pledges are voluntary. While this might be valid, in a recent comment [1], we argue that another, often overlooked factor was decisive: technological innovation.

A paradigm shift in climate politics

In 2009, many low-carbon energy technologies were expensive and, even more importantly, analysists predicted rather slow cost declines [2]. Contrary to this prediction, innovation in renewable energies, battery technology, hydraulic fracturing, ICT based solution etc. massively decreased the cost of these technologies, so that today many low-carbon technologies are cost-competitive in many applications. Crucially, it was primarily national (and sub-national) policies that pushed these technologies down their learning curve and incentivized innovative activities.

These cost reductions have contributed to a paradigm shift in international climate politics, from an emissions to a technology focus, from minimizing the economic burden of climate change mitigation to seizing its economic opportunities (see figure). Politicians realize more and more that low-carbon technologies can cut costs while creating local industries and jobs. The core mechanism of international climate policy is no longer to negotiate national climate targets aimed at fair burden-sharing. The new core mechanism is to draft national policies that target low-carbon technological change.

 

Infographic

The interplay of politics, policy, technological change and climate change. (Figure from [1])

The challenges ahead

In other words, technological innovation served as driver of climate policy ambition. This is good news indeed. However, challenges remain: Cost-effective policies supporting the NDCs (Nationally Determined Contributions) need to be tailored to and implemented across many countries (including fossil-fuel subsidy reform and carbon pricing). Financial and technical support needs to be channeled to lower income countries. Importantly, ambition needs to be further increased as the current pledges are not sufficient to reach the agreement’s target of limiting the global temperature rise to well below 2 °C.

So what to make of President Trump’s decision then? In short: Pulling out of the Paris Agreement will not stop the technological mega-trend towards low-carbon technologies. Even the US low-carbon technology industry is unlikely to suffer from his decision in the short run, in part because states like California, but also many cities, are stepping in.

There are, nevertheless, potentially negative consequences [3]. First, the US looks likely to stop its contribution to the Green Climate Fund, which helps lower-income countries in their climate change mitigation and adaptation measures. Second, the announced budget cut for US-based research in low-carbon technology will have long-term negative effects on innovation. Third, some fear that the Trump decision might lead to a bandwagon effect with other countries also pulling out. Finally, implementing policies that incentivize a shift from fossil fuels (particularly coal) to low-carbon technologies will face local resistance in the US and other countries with strong fossil fuel industries. Local fossil fuel constituencies might try to capture politics, as we have seen in in the past with attempts to reform fossil fuel subsidies. They can now point to the US decision.

Overcoming resistance

To overcome local resistance, it is important to strengthen local low-carbon constituencies, i.e. both economic and political actors forming around low-carbon technologies. Creating local jobs in low-carbon technology production, assembly, installation and maintenance is a powerful lever. The cheaper these technologies get, the more likely this is going to happen. Therefore, innovation can also serve as a driver to overcome this type of resistance.

Just one day after Trump’s decision, China and India announced that they will exceed their Paris pledges (mostly driven by higher-than-expected renewable energy installations). This leads us to conclude that the Paris Agreement will prevail. Technological R&D, at ETH and elsewhere, is crucial if we are to strengthen the new technology paradigm further.

 

By Prof. Tobias Schmidt and Dr. Sebastian Sewerin, Energy Politics Group, ETH Zurich

This blog was originally posted on ETH Zurich’s Zukunftsblog.


Further information

[1] Schmidt, Tobias S., and Sebastian Sewerin. “Technology as a driver of climate and energy politics.” Nature Energy 2 (2017): 17084. Link: https://www.nature.com/articles/nenergy201784 Free access (read only): http://rdcu.be/s2LQ

[2] See e.g., McKinsey’s Marginal Abatement Cost reports of 2007 and 2009

[3] On June 13, ETH Zurich’s Center for Security Studies (CSS) organized an event where these questions were debated by Dr. Tim Boersma (Columbia University), Dr. Severin Fischer (CSS) and Prof. Tobias Schmidt.

Bringing into focus the financing challenge of the low-carbon innovation

For some time in discussions about a global transition towards a low-carbon economy the unacknowledged elephant in the room was the financial sector. Various estimates from the International Energy Agency and others suggest that annual investment in a low-carbon energy system to mid-century will need to average USD2-3 trillion, with two thirds of that comprising a shift in investment from high-carbon to low-carbon infrastructure, and the other third being extra low-carbon investments. The 100 trillion dollar question about the elephant, which is now at least being increasingly acknowledged, is how such a dramatic shift in investment finance can be achieved.

Part of the problem for the investors who will need to make this shift is that it is not yet clear precisely which technologies should be the recipient of this investment. Innovation in new energy technologies, and corresponding changes in business models and consumer behaviour, are proceeding at a bewildering rate; however most projections indicate that current (financial) commitments fall short in achieving a 2° world. Trying to understand such innovation, and where it may lead, is at the heart of the INNOPATHS project, which was presented to a full house in Brussels on June 22 as part of Sustainable Energy Week.

An early output from INNOPATHS, the construction of which is being led by Aalto University in Finland, is a Technology Assessment Matrix, the purpose of which is to provide online insights into how technologies are developing, what their potential might be in terms of cost and scale of deployment, and how they might fit into the low-carbon energy system of the future.

Stimulating investment on the scale required to come anywhere near the 1.5-2oC temperature target of the 2015 Paris Agreement will require, in addition to technologies that offer large-scale energy efficiency savings or low-carbon energy supply, measures that will address institutional, regulatory, informational and business constraints on investment, as well as a supportive policy environment to pull through low-carbon investment that do not yet meet normal criteria of risk-adjusted rate of return.

These are among the topics addressed by the finance workstream of the INNOPATHS project, led by Utrecht University in the Netherlands, ETH in Switzerland and The Potsdam Institute for Climate Research in Germany, the first workshop of which will be held in Utrecht in September. Here, experts from the financial sector will meet and discuss the challenges ahead with energy company representatives and policy makers. These topics were also the subject of the recent meeting of the European Commission’s High-Level Panel of the European Decarbonisation Pathways Initiative, which will be producing a report in 2018 on research needs in Europe to ensure that the European Union can make the most of the many economic and other opportunities offered by deep decarbonisation of the energy system.

Another initiative that brought the financial sector into full focus was the workshop at UCL on July 5th, organised by the European Horizon 2020 Green-Win project, entitled ‘The Risk Transition: shifting investment to a low carbon economy’. The Keynote Speaker was Russell Picot, Special Adviser to the Financial Stability Board’s Climate-related Financial Disclosures Task Force, the final report and recommendations from which were published on June 29. Its areas of core recommendations were governance, strategy, risk management and metrics and targets. While the suggested measures were intended to be voluntary at present, it is clearly possible that they will become mandatory as experience with how best to disclose climate risk is acquired and the need for the great energy transition investment becomes appreciated as increasingly urgent.

INNOPATHS finance workstream colleagues also contribute to the New Pathways for Sustainable Finance process, led by the Brussels-based institution Finance Watch, the Global Alliance for Banking on Values, and Mission 2020, which over the next few will explore a financial market design conducive to a low-carbon transition and specific actionable areas to be addressed by 2020.

Such projects, initiatives, events and publications at least mean that the various parts of the elephant of transition finance for a low-carbon future are being recognised put together, so that the shape of the whole challenge ahead is becoming apparent. What is now required is determined action on the various insights that are being generated being the temperature targets of the Paris Agreement slip quite out of reach.

By Paul Ekins, Professor of Resources and Environment Policy and Director, UCL Institute for Sustainable Resources