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Despite the growing consensus surrounding the need to decarbonize power for meeting the ambitious temperature target set out in the 2015 Paris Agreement, the share of low-carbon energy sources in the overall energy mix varies significantly across countries and over time. We evaluate the influence of democracy on clean energy transition by studying national solar, wind, hydro and nuclear energy shares of total energy use for electricity generation from 1980 to 2020. Using data from the Varieties of Democracy, Freedom House and Polity IV democracy indices, International Energy Agency Extended Energy Balances and Summary Statistics and World Bank World Development Indicators, we conduct a large-N study of the emissions levels of 135 countries. This article develops existing understandings about the relationship between democracy and energy transition by employing a more sophisticated – hierarchical – research design to determine whether: (i) democracy continues to be an important driver of low-carbon energy use once country-level clustering is accounted for, (ii) fluctuations in the democratic attributes of domestic political regimes have uniform effects across countries and (iii), if so, economic development plays a role in shaping the effect of democracy within individual countries. The results suggest that, even after controlling for country-level clustering and other putative drivers of energy portfolios, democracy has a significant effect on the low-carbon energy sources examined here. A second-order regression of country-specific democracy effects estimated by our hierarchical model provides robust evidence that economic development plays an important role in shaping the effect of democracy within individual countries: Strikingly, democratic spells (of increased democratic institutions and processes) in advanced economies tend to inhibit solar, wind and hydro energy, but promote nuclear energy use, while having the opposite effects (promoting solar, wind and hydro and inhibiting nuclear shares) in emerging economies.

Distrust in science has been linked to scepticism over both vaccines and climate change. We analyse the results of nationally representative online surveys administered in eight key countries critical to global efforts to mitigate climate change and COVID-19 (Australia, Brazil, China, India, Japan, South Africa, the UK and US). Consistent with previous studies, we find distrust in science is an important explanatory variable for the larger majority of sceptics, those who are sceptical of one or the other issue but not both, across the countries examined. However, the association is significantly weaker among the segment of hardcore persistent sceptics who are both climate sceptics and antivaxxers, instead we find that these individuals, who fit with the typical sceptic profile, are driven by an underlying distrust of elite institutions rather than a specific distrust of scientists. Our results imply that different communications strategies are needed for different types of sceptics.

Unlike power sector decarbonisation, there has been little progress made on heat, which is currently the biggest energy consumer in the UK, accounting for 45% of total energy consumption in 2019, and almost 40% of UK GHG emissions. Given the UK���s legally binding commitment to "Net-Zero" by 2050, decarbonising heat is becoming urgent and currently one of the main pathways involves its electrification. Here, we present a spatially-explicit optimisation model that investigates the implications of electrifying heat on the operation of the power sector. Using hourly historical gas demand data, we conclude that the domestic peak heat demand is almost 50% lower than widely-cited values. A 100% electrification pathway can be achieved with only a 1.3-fold increase in generation capacity compared to a power-only decarbonisation scenario, but only, by leveraging the role of thermal energy storage technologies without which a further 40% increase would be needed.

We explore the relationship between political ideology and public attitudes towards a range of energy technologies (namely: biomass, coal, shale (or coal seam) gas, natural gas, carbon capture and storage, hydroelectricity, nuclear, solar thermal and photovoltaic, wave and wind energy). Our empirical analysis draws on the results of two similar nationally representative public surveys that were conducted in Australia and the UK in 2017. Our findings suggest that political ideology is significantly associated with public attitudes towards energy technologies. Specifically, supporters of left-leaning political parties tend to be more supportive of renewables and opposed to biomass, shale (coal seam) gas, nuclear and fossil fuel energies compared to right-leaning individuals. We also create an alternative ideological proxy to capture the relative emphasis that parties place on the environment and economy and find that supporters of environmentally focused parties generally express similar energy preferences to left-leaning individuals and economy-focused respondents align with right-leaning attitudes. Our findings are robust to different choices of proxy.

The introduction of smart meters has created opportunities for both utilities and policymakers to understand residential electricity consumption in greater depth. Machine learning techniques have distinct advantages over traditional approaches in dealing with extremely large volumes of high-resolution usage data. We introduce a novel clustering method to detect household behaviour using different types of weather data as proxies. Based on this approach, we combine Irish smart meter and weather data to identify and characterize clear differences in the daily patterns between workdays and weekends in both summer and winter and investigate how households respond to changing weather patterns. We also examine the relationships between response groups and household demographic features using different statistical tests. We find the magnitude of the effect of occupancy-related variables in the clustering of weather sensitivity to be larger than incomerelated factors. This proposed new approach could be the basis of a classification model to identify households that are more responsive to different types of weather. Tariff design could benefit from such a model and enable specific schemes to be developed that would target weather-sensitive households and result in improved load management.

We explore the relationship between political ideology and public attitudes towards a range of energy technologies (namely: biomass, coal, shale (or coal seam) gas, natural gas, carbon capture and storage, hydroelectricity, nuclear, solar thermal and photovoltaic, wave and wind energy). Our empirical analysis draws on the results of two similar nationally representative public surveys that were conducted in Australia and the UK in 2017. Our findings suggest that political ideology is significantly associated with public attitudes towards energy technologies. Specifically, supporters of left-leaning political parties tend to be more supportive of renewables and opposed to biomass, shale (coal seam) gas, nuclear and fossil fuel energies compared to right-leaning individuals. We also create an alternative ideological proxy to capture the relative emphasis that parties place on the environment and economy and find that supporters of environmentally focused parties generally express similar energy preferences to left-leaning individuals and economy-focused respondents align with right-leaning attitudes. Our findings are robust to different choices of proxy.

The fine-grained electricity consumption data created by advanced metering technologies offers an opportunity to understand residential demand from new angles. Although there exists a large body of research on demand response in short- and long-term forecasting, a comprehensive analysis to identify household consumption behaviour in different scenarios has not been conducted. The study’s novelty lies in its use of unsupervised machine learning tools to explore residential customers’ demand patterns and response without the assistance of traditional survey tools. We investigate behavioural response in three different contexts: 1) seasonal (using weekly consumption profiles); 2) holidays/festivals; and 3) extreme weather situations. The analysis is based on the smart metering data of 2,000 households in Chengdu, China over three years from 2014 to 2016. Workday/weekend profiles indicate that there are two distinct groups of households that appear to be white-collar or relatively affluent families. Demand patterns at the major festivals in China, especially the Spring Festival, reveal various types of lifestyle and households. In terms of extreme weather response, the most striking finding was that in summer, at night-time, over 72% of households doubled (or more) their electricity usage, while consumption changes in winter do not seem to be significant. Our research offers more detailed insight into Chinese residential consumption and provides a practical framework to understand households’ behaviour patterns in different settings.

Plastics is one of the hardest sectors to decarbonise but there are concerns over the willingness of consumers to pay higher prices to shift away from reliance on unabated fossil energy. Moreover, widespread concerns over single-use plastics have redoubled efforts to reformulate plastics used in consumer products, so we analyze heterogeneity in consumer preferences and willingness to pay for environmentally friendly attributes of plastic bottles. Our study employs stated preference data from a discrete choice experiment conducted using a representative sample of 3085 British consumers. We estimate different mixed logit models in preference and willingness to pay space and also examine the preference heterogeneity to infer consumers’ sensitivity to price. We find that British consumers are willing to pay a £1.10 premium for a £1 plastic bottle if 100% of the CO2 were to be captured during the production process. To a lesser extent, we also find differential willingness to pay depends on other characteristics such as the national origins of the materials and the type of certification employed. Preferences are driven by specific characteristics, such as involvement in environmental organisations or knowledge of bioplastics, both of which are associated with higher willingness to pay for green plastics.

Heating and cooling are responsible for over 50% of the world’s final energy consumption, and over 40% of global CO2 emissions. With an increasingly decarbonised electricity grid, the electrification of heating offers one potential alternative to the incumbent, heavily fossil-fuel dominated heating system. However, the high penetration of renewables, the high seasonality and hourly variability of heat demand, and an increasing domestic demand for energy services, including cooling, pose significant balancing challenges for both hourly system operation and the long-term investment decision planning of electricity systems. The combination of both demand-response measures and the integration of flexible systems will be required to deliver low carbon heating and cooling, while integrating an increasing share of renewable electricity, and managing peak load. We provide a global overview of the technical, economic and policy challenges and opportunities to decarbonise heating demand through electrification, in the context of rising demand for cooling services.

A Promoting the decarbonisation of buildings requires effective policy measures. An integral part of policy design is ex-ante evaluation of possible policy options and effects. System Dynamics, one of a range of potential modelling paradigms, emphasises t

We develop a new framework that can be used to analyse interactions between solar and wind generation using a Mean-Variance Portfolio Theory (MPT) framework. We use this framework to understand the role of electricity transmission integrating a high share

© 2020 Elsevier Ltd Rapid socio-economic development and urbanization have resulted in serious deterioration in air-quality in many world cities, including Beijing, China. This study attempts to examine the effectiveness of air pollution control regulations implemented in Beijing during 2008–2019 through a data-driven regulatory intervention analysis. Our proposed Bayesian deep learning model utilizes proxy data including Aerosol Optical Depth (AOD) and meteorology as well as socio-economic data, while accounting for confounding effects via propensity score estimation. Our results show that air pollution control regulatory measures implemented in China and Beijing during 2008–2019 reduced PM2.5 pollution in Beijing by 11 % on average. After the introduction of Action Plan for Clean Air in China and Beijing in late 2013, as compared to the hypothetical PM2.5 concentration (without any regulatory interventions), the estimated PM2.5 reduction increased dramatically from 15 % in 2015 to 44 % in 2018. Our results suggest that Beijing's air quality has improved gradually over the past decade, though the annual PM2.5 pollution still exceeds the WHO threshold. In this regard, the air pollution control regulations introduced in Beijing and China tend to become more effective after 2015, suggesting a 2-year time lag before the stringent air pollution control regulations starting from 2013 takes any strong positive effects. Moreover, as compared to the air pollution control regulations introduced before 2013, newly introduced policy-making governance, which couples the policy-makings of the local jurisdictions with that of the central government, and the new policy measures that tackle the vested interests of the local stakeholders in Beijing and its nearby cities, alongside with the stringent local and national air pollution control regulations and plans, should help reduce air pollution and promote healthy living in Beijing over the longer term.

HEV is a low-cost, versatile, high-quality ventilator, which has been designed in response to the COVID-19 pandemic. The ventilator is intended to be used both in and out of hospital intensive care units, and for both invasive and non-invasive ventilation. The hard-ware can be complemented with an external turbine for use in regions where compressed air supplies are not reliably available. The standard modes provided include PC–A/C (Pressure Assist Control), PC–A/C–PRVC (Pressure Regulated Volume Control), PC-PSV (Pressure Support Ventilation) and CPAP (Continuous Positive Airway Pressure). HEV is designed to support remote training and post market surveillance via a web interface and data logging to complement the standard touch screen operation, making it suitable for a wide range of geographical deployment. The HEV design places emphasis on the quality of the pressure curves and the reactivity of the trigger,delivering a global performance which will be applicable to ventilator needs beyond the COVID-19 pandemic. This article describes the conceptual design and presents the prototype units together with their performance evaluation.

HEV is a low-cost, versatile, high-quality ventilator, which has been designed in response to the COVID-19 pandemic. The ventilator is intended to be used both in and out of hospital intensive care units, and for both invasive and non-invasive ventilation. The hardware can be complemented with an external turbine for use in regions where compressed air supplies are not reliably available. The standard modes provided include PC-A/C(Pressure Assist Control),PC-A/C-PRVC(Pressure Regulated Volume Control), PC-PSV (Pressure Support Ventilation) and CPAP (Continuous Positive airway pressure). HEV is designed to support remote training and post market surveillance via a web interface and data logging to complement the standard touch screen operation, making it suitable for a wide range of geographical deployment. The HEV design places emphasis on the quality of the pressure curves and the reactivity of the trigger, delivering a global performance which will be applicable to ventilator needs beyond theCOVID-19 pandemic. This article describes the conceptual design and presents the prototype units together with their performance evaluation., 34 pages, 18 figures, Extended version of the article submitted to PNAS

Scotland offers a case study of a country with significant fossil energy resources that has recently moved to rapidly decarbonize its economy and deploy renewable energy sources. We review the key policies that have facilitated a 47% reduction in greenhouse gas emissions from 1990 levels and almost 75% of Scottish electricity being produced from renewable energy. Public views on climate policy, renewable energy, and low-carbon technologies are explored using focus groups we conducted in Aberdeen, Peterhead, and Edinburgh and citizens’ juries held in Aberdeen and Edinburgh. The deliberative processes reveal strong public support for continued diversification of Scotland’s energy portfolio to include more renewable energy sources, particularly at the local level. We also found support for a greater role for state-led involvement in the energy sector. Pro-renewables sentiments and skepticism of industry pervade even in Aberdeen, the main UK hub for oil and gas exploration, alongside support for further exploration of low-carbon technologies such as carbon capture and storage (CCS). Although Peterhead stood to benefit from a major CCS project, there was little awareness of the proposed project among residents nor its cancellation. Finally, we argue deliberative processes can help both policy-makers and developers gauge where they can (and cannot) expect support.

Building stock is a key determinant in building energy and China is the largest producer of CO2 emissions and the largest consumer of energy and building energy, so any effective energy and climate policy will need to address this key driver of energy use. However, official statistics on total floor area of urban residential stock in China only exist up to 2006. Previous studies estimating Chinese urban residential stock size and energy use made various questionable methodological assumptions and only produced deterministic results. We present a Bayesian approach to characterise the stock turnover dynamics and estimate stock size uncertainties. Firstly, a probabilistic dynamic building stock turnover model is developed to describe the building aging and demolition process governed by a hazard function specified by a parametric survival model. Secondly, using five candidate parametric survival models, the building stock turnover model is simulated through Markov Chain Monte Carlo (MCMC) to obtain posterior distributions of model-specific parameters, estimate marginal likelihood, and make predictions on stock size. Finally, Bayesian Model Averaging (BMA) is applied to create a model ensemble that combines the model-specific posterior predictive distributions of the stock evolution pathway in proportion to posterior model probabilities. This Bayesian modelling framework and its results in the form of probability distributions of annual total stock and age-specific substocks, can provide a solid basis for further modelling and analysis of policy trade-offs across embodied-versus-operational energy consumption and carbon emissions of buildings in the context of sector-wide transitions aimed at decarbonising buildings.

Decarbonising electricity is a critical first step in mitigating climate damage but low/zero-carbon generation is very capital intensive. Its cost depends critically on the weighted average cost of capital (WACC). Three factors combine to make a low WACC both desirable and feasible in the UK. First, the Stern Report argues for a low social discount rate (1.4% real) for investments in climate mitigation. Second, global and UK real interest rates have been falling steadily - UK gilt index-linked 20-year rates have fallen from +4% in 1995 to -2% (negative) in 2019. CCS and nuclear have long lifetimes over which to recover their capital cost, longer than commercial finance would accept without guarantees, in contrast to renewables where off-take contracts have proven sufficient. Nuclear power faces the additional investment challenge of lengthy uncertain construction. No nuclear plant has ever been built privately without substantial regulatory guarantees. The Regulated Asset Base (RAB) model can address these financing problems for long-lived low-carbon assets. The benefits of placing risk on developers to motivate cost control are small compared to the extra costs of a higher weighted average cost of capital (WACC). A hybrid RAB model (like that used for the Thames Tideway Tunnel)—with excess cost sharing and a cost cap—can reduce risk to deliver an adequately low WACC by accessing infrastructure funds that do not require extensive specialised project knowledge. If the risk of excess costs is spread over the 27 million households and other customers taking two-thirds of electricity, each would bear minimal risk and the cumulative cost would be significantly lower. The levelized cost at the WACC (3.5% real) is £53/MWh if on time and budget, which should be compared with a counterfactual in which all the risk is placed on the company requiring a contract-for-difference with a strike price of £96/MWh for the life of the project (equal to the levelized cost). The levelised cost to consumers if on time and budget would be £50/MWh and in the worst case with a 48% cost over-run, £64/MWh.

External information (e.g., monetary and opportunity costs, retailer messaging), internal information (e.g., consumer knowledge, information processing), and the interaction between different forms of information can affect consumer engagement in markets. We employ an analytical framework which embraces both economic and psychological motives behind consumer behavior to investigate the motives and obstacles associated with household behavior in energy markets, using data from over 18,000 randomly selected responses drawn from three annual surveys of British households commissioned by the UK energy regulator. Three forms of household engagement – switching to a new electricity and/or gas supplier, changing electricity or/and gas tariffs, and changing payment methods of energy bills – are explored using a multiple-discrete choice framework. We find that internal information pathways have robust and strong effects on switching suppliers and tariffs. Concretely, a lack of belief in tariff differences discourages participation in energy markets. By contrast, professed knowledge of household energy spending and familiarity with energy tariffs drives consumer engagement. External information – supplier messages and Internet information may enhance each other in promoting market participation, conditional on message source and participation form. We also find that engagement by incumbent retailers (such as through consumer messages) can be effective in discouraging households from switching suppliers.

We investigate the direct role of technological innovation and other influencing factors on industry-level energy intensity based on a sample of 12 industries across 17 EU countries over 1995–2009. We develop an innovative industry-level patent dataset and find compelling evidence that patent stock negatively influences industrial energy intensity. Using a fixed effects estimator, we find a much stronger effect on energy-intensive industries with an estimated coefficient of -0.138 almost double that of less energy-intensive industries (estimated at -0.085). While our results show energy price remains the major determinant of energy intensity, the chemicals industry appears to be more susceptible to energy prices relative to other energy-intensive industries that are covered by the EU Emissions Trading Scheme (ETS). Our study reveals that asymmetric response of energy intensity to energy prices in which price rises between 2004 and 2008 accounts for more change in efficiency than when prices fall. We also explore regional differences, notably that carbon tax policy in Northern European countries, which began in the early 1990s, is responsible for a significant fraction of the decline in energy intensity in Northern Europe.

Using a representative national survey in the United Kingdom, we investigated public attitudes towards different low-carbon technologies (carbon capture and storage (CCS), wind and nuclear power) and the factors influencing public support. Overall, we found that respondents were far more likely to support wind energy as their preferred means of mitigating climate change. Older people and those of a higher social grade are more supportive of nuclear power, while age and social grade do not significantly affect support for wind energy. Supporters of the Conservative Party were more likely to oppose wind power. Neither attitudes towards climate change nor environmental attitudes were found to influence public support for wind power or nuclear. Trust in information from environmental groups was associated with greater support for wind energy but lower support for nuclear power. Perceived cost and objective knowledge significantly influenced public support for all three technology types, that is, higher perceived costs and the poorer objective knowledge lead to lower public support. However, self-assessed knowledge did not influence public support. Many factors, including most of the tested demographic factors, did not affect support for any of the three technologies.

The EU carbon price lies well below estimates of the social cost of carbon and “target-consistent” carbon prices needed to deliver ambitious targets such as the 40% reduction target for 2030. In light of this, the UK introduced a carbon price floor (CPF) for its electricity sector in 2013 and the new Dutch Government has recently made a similar commitment, while successive French Governments have called for an EU-wide CPF. This paper analyzes the impacts and design of a power-sector CPF, both at the EU and national level, using a political-economy approach. We find a good case for introducing such a price-based instrument into the EU ETS. We suggest that a CPF should be designed to “top up” the EUA price to €25–30/tCO2, rising annually at 3–5% above inflation, at least until 2030. We argue that the new EU Market Stability Reserve enhances the value of a CPF in terms of delivering climate benefits, and discuss the potential for a regional CPF in North-West Europe. We also review international experience with price floors (and ceilings).

Nuclear power can play a role in reducing CO2 emissions and improving energy security. Public attitudes to nuclear safety governance will be critical in whether a large-scale rollout of nuclear power will be successful, so we commissioned a survey of 1,007 members of the British public to understand the determinants of such views. In particular, we focus on the role of trust in government, which has been largely neglected as a subject of study. We find that higher risk perceptions of new nuclear power technologies is associated with lower overall government trustworthiness, while higher engagement levels, being male and intentions to vote Conservative increase trustworthiness. Risk perceptions towards old and the new nuclear technologies do not differ significantly, which raises questions about the view that newer defence-in-depth nuclear technologies can reduce public fear of nuclear power. To build public trust, the UK government must demonstrate its trustworthiness in nuclear safety governance, especially along the dimensions of integrity, reliability and openness. Further, improving stakeholder engagement and thus increasing the levels of public satisfaction towards the government are necessary. Our novel research methodology of determining government trustworthiness in relation to public risk perceptions, technical knowledge, and stakeholder engagement is more broadly applicable and can be transferred to other subject areas and to countries where public concerns over nuclear safety and energy security are significant.

Carbon-neutral synthetic fuels (CNSFs) could offer sustainable alternatives to petroleum distillates that currently dominate the transportation sector, and address the challenge of decarbonising the fuel mix. CNSFs can be divided into synthetic biofuels and 'electrofuels' produced from CO2 and water with electricity. We provide a framework for comparing CNSFs to battery electric vehicles (BEVs) as alternatives to reduce vehicle emissions. Currently, all three options are significantly more expensive than conventional vehicles using fossil fuels, and would require carbon prices in excess of $250/tCO2 or oil prices in excess of $150/bbl to become competitive. BEVs are emerging as a competitive option for short distances, but their competitiveness quickly deteriorates at higher ranges where synthetic biofuels are a lower-cost option. For electrofuels to be viable, the challenge is not simply technological learning, but access to a low-cost ultra-low-carbon electric power system, or to low-carbon electric generators with high annual availability.

We employ a value chain analysis approach to examine the forces shaping the industry structure, entry and inter-firm governance modes. Forty largest global and regional companies in the ethanol manufacturing stage have been classified according to their pre-entry industry of origin. Firms with pre-entry history in feedstock supply have shown higher resilient to market shock especially compared to de novo firms. In addition, we observe a trend of dual-directional vertical integration. Firms backward integrate to secure feedstock supply; firms forward integrate to gain access to the retail market. Security of feedstock has been identified as a critical success factor of the manufacturer in this resource intensive industry. Another critical success factor is gaining control over the end user market via forward integration. We propose that critical success factor is the important determinants of inter-firm governance mode.

Drawing on the wider 'catching up' literature, we examine the rapid growth in Chinese spending on science and technology, which, in spite of its growing infrastructure, remains heavily reliant on foreign inputs. We examine both the economic and political drivers behind China's scientific development, making a distinction between domestic investments and international technology trade. Firms provide over two-thirds of total R&D funding, most of which has been spent on 'high-tech' sectors for export production. The fastest growing research area is in environmental sciences and energy technology. China's technology imports are shifting away from 'technologies for production', towards 'technologies for innovation', encouraged by the national development strategy on enhancing scientific research capacities. In particular, we present evidence from China's imported technology contracts. Energy is the second largest sector after manufacturing in terms of imported technology contracts.

From 2005-2012, Spain and Italy saw significant investment in renewable energy, most notably in onshore wind and solar, driven by generous subsidies, the expectation of rising carbon prices and falling renewables (especially solar panel) costs. As a result of the Global Financial Crisis, both countries were faced with massive fiscal deficits and were forced to curtail their renewable support schemes, although these efforts took several years to take effect after the onset of the initial crisis. Ironically, both Spain and Italy incurred the lion's share of their liability for renewables support after the onset of the crisis particularly because of the rapid drop in costs of solar PV panels, while subsidy levels remained high. In spite of changes to their support regimes, Italy is likely to meet its 2020 climate and renewable targets, whereas Spain is unlikely to meet its 2020 renewables target based on current trajectories. Following a comparative historical survey of the two large EU member states, we present a scenario analysis that contrasts alternative futures of 2030 where renewable support remain at current levels (essentially zero) or is revived and where carbon prices stay at current low levels (€5/t CO2) or rises to levels needed to accomplish the proposed 40% EU 2030 reduction target. We find that, by 2030, in large parts of Spain, solar PV will be cost-competitive even under low-carbon price and low renewable support regimes, whereas concentrated solar power (CSP) and onshore wind, will require at least either a sustained renewable support regime or a high carbon price to become cost competitive. In Italy, solar PV becomes cost competitive in the low-carbon, low-renewable support scenario except when fossil fuel prices are unusually low. By 2030, there would be large-scale penetration of onshore wind and geothermal in Italy if there is either a high-carbon price or a high renewable support regime or both. In general, if the current levels of carbon price were to exist post-2020, both Italy and Spain would find it rather difficult to increase the penetration of renewables in their electricity mix. A high subsidy world, on the other hand, would be result in the most favourable outcome, particularly for Spain, although it may incur additional costs in comparison to a high carbon price world., Spain

Emergent or unproven technologies occupy a central role in post-Paris debates about climate change goals and their feasibility. New technologies have often faced major political and social challenges and the way they are communicated is changing as technical experts and scientists play a greater role in communicating directly online. We review the scope and key characteristics of communications on carbon dioxide capture and storage (CCS) technologies presenting data from a comprehensive survey of websites compiled to assess the state of global CCS communications. Our key empirical finding is that existing communications are techno-centric in their framing, overlooking economic, political and institutional aspects of CCS as a societal arrangement. We also find an overrepresentation of traditionally less trusted actors from business and government (resulting in a pro-CCS bias), rather than by independent academic researchers or NGOs. We offer some recommendations for how CCS and similarly emergent climate technologies might be better communicated in the age of the Internet, not just in terms of their technical features but also in terms of their societal impacts and the role they might play in a wider social and political context.

ACCSEPT was a two-year research project (2005-2007) funded under the 6th research framework programme ofthe European Commission. The project leader was Det Norske Veritas (DNV), and the partners were Baker andMcKenzie, the Energy Research Centre of the Netherlands (ECN), the Institute for European Environmental Policy(IEEP), Tyndall Centre for Climate Change Research, and Judge Business School of the University of Cambridge.There were three main focuses of the project: a Europe-wide survey of stakeholders and their opinions on CCS;stakeholder consultation through two workshops; and research into the economics, regulation, legal and socialaspects of CCS. The project website is www.accsept.org, where all the outputs and related material can be found.This paper summarizes the conclusions of the work

The Earth's climate is changing and the release of carbon dioxide (CO2) is recognised as the principal cause. To meet legally binding targets, UK GHG emissions need to be cut by at least 80% of the 1990 levels by 2050. With an increase in future fossil fuel use, Carbon Capture and Storage (CCS) is the only method of meeting these targets. Some key challenges face the deployment of CCS including cost, uncertainty of CCS deployment, the risks of long-term CO2 storage, public communication and scale. Research at the University of Cambridge is resolving these issues and assisting the deployment of CCS technology. The right regulatory framework also needs to be set so that the technology is commercially deployed. The current UK policy framework for CCS is outlined in this document and the immediate barriers to deployment are highlighted. The ongoing CCS research taking place primarily at the University of Cambridge is described. There are many steps that need to be taken if CCS deployment is to ultimately succeed; this document attempts to highlight these steps and address them., Carbon Capture Technologies

This paper presents results of the 2010 Electricity Policy Research Group (EPRG) public opinion survey. The survey examines the energy policy preferences and attitudes of the British public, the potential for consumer engagement and consumer acceptance of various energy demand response activities. Wherever possible, comparisons were made to EPRG public opinion surveys from 2006 and 2008. Since the global financial crisis of 2008, energy and environmental concerns have decreased in priority, and respondents are more sceptical about government interventions in electricity markets. The share of individuals reporting that they are experiencing serious hardship due to energy prices has gone down from the 2008 level. While roughly half of the respondents would agree to have detailed metered consumption information recorded by their energy providers, they are even more wary about making data available to other entities. Local ownership is a potential motivating factor for public support for local small-scale energy plants. Energy efficiency measures had higher uptake than in previous years, but the widespread measures are typically cheaper and easiest to implement. There is scope for shifting discretionary electricity load to off-peak hours through both Time-of-Use tariffs and smart appliances that require limited user intervention., Time-of-use tariffs

The economic and policy framework for investment decisions in the power generation sector in China are investigated. Our analysis combines a review of the existing legal framework with a survey of stakeholders in industry and government. Based on interviews with over 60 stakeholders, we find a consistent picture emerges of the role of the major institutions and the decision criteria used in investment decisions for conventional thermal power technologies. In contrast, the evolving legal framework for investment in lower-carbon technologies, as reflected primarily in the renewable energy law, produces no clear consensus regarding decision criteria from either government or industry stakeholders. The overall objectives are widely acknowledged, but there is considerable disagreement amongst stakeholders over its implementation. From an investment analysis of risks versus returns, most respondents perceive advanced thermal power investments and small hydro as being more attractive than lower carbon alternatives such as wind power and solar photovoltaic (PV) power.

‘Capture Ready’ is a design concept enabling fossil fuel plants to be retrofitted more economically with carbon dioxide capture and storage (CCS) technologies, however financing the cost of capture ready can be problematic, especially in the developing world. We propose that fossil fuel plants issue tradable Capture Options to acquire financing. The Capture Option concept could move CCS forward politically in countries such as China, speed up CCS technology development, help Capture Ready investors diversify risk, and offer global warming investors an alternative investment opportunity. As a detailed case study, we assess the value of a Capture Option and Capture Ready plant for a 600 MW supercritical pulverized coal power plant in China, using a cash flow model with Monte-Carlo simulations. The gross value of Capture Ready varies from CNY3m ($0.4m) to CNY633m ($84.4m) at an 8% discount rate and the Capture Option is valued at CNY113m ($15.1m) to CNY1255m ($167.3m) for two of the four scenarios analyzed.