- home
- Advanced Search
- Energy Research
- Energy Research
description Publicationkeyboard_double_arrow_right Article , Journal 2009Publisher:Elsevier BV Authors:Xi Liang;
Xi Liang
Xi Liang in OpenAIREDavid Reiner;
David Reiner
David Reiner in OpenAIREAbstractWe consider the limit s to traditional finance in evaluating power projects and investigate the role biases and heuristics used by individuals and institutions play in investment decisions, particularly those affecting less familiar, lower-carbon electricity generation.Traditional finance relies on the principles and results of modern portfolio theory, such as the efficient market hypothesis, which tends to describe investment results in terms of mean percentage return, statistical risk (e.g. standard deviation), and reward-torisk ratios. For power projects, firms consider various financial criteria for comparing projects opportunities with unequal lifetimes. To forecast financial criteria for project opportunities, firms will n ormally project the cash flow profile, often using Monte Carlo simulations given the volatility of some point estimations. In addition, real options analysis can be integrated if the relevant option (abandonment, expansion, flexibility) value may be significant. Many potential risks already incorporat ed in the traditional finance prospective include: business and commercial risk, country (or political risk), exchange rate and interest rate risk, inflation and liquidity risk.Rather than assuming all investors are rational and all relevant facts will be interpreted correctly, institutional behavioral finance assumes firms make decisions according to their own objectives and constraints.Project decisions are affected by both the institutional framework and individual behavior. Behavioral characteristi cs can affect decision-making by contributing to biased forecasts, especially in those institutions or projects for which decision-making power is highly concentrated. Specific biases affecting power projects include: representativeness, overconfidence, anchoring-and-adjustment, aversion to ambiguity, endorsement effect, and loss aversion. Project decision -makers may not fully incorporate financial projections, as rather than researching or trusting that information they are forming own rules developed through experiments, making investment decision that is most prominent, and relying on heuristics. We analyze the risks and opportunities for shareholders, creditors, and equipment vendors in moving from the traditional to the behavioral model, with a speci al emphasis on ‘newer’ investment decisions found in lower-carbon generation such as renewable or advanced coal and CCS technologies.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2009.02.267&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 13 citations 13 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2009.02.267&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Elsevier BV Authors: Feng Wang; Feng Wang; Xiaoyu Sun;David Reiner;
+1 AuthorsDavid Reiner
David Reiner in OpenAIREAbstract In this article, the calculation model of carbon intensity elasticity based on an input-output table is used to measure the elasticity of China's carbon intensity with respect to development of industries, intermediate input coefficients, and energy efficiency during 1990–2015. The industrial differences of the elasticity in 2015 are compared horizontally, and changing trends of the elasticity during 1990–2015 are analyzed in the vertical direction. The main research results imply that: first, in China's 28 subdivided industries, the development of seven industries will increase the national carbon intensity, while the development of 21 industries will decrease the national carbon intensity. The driving forces of some industries show a growing trend year by year; second, lowering industrial intermediate input coefficients by raising the technological level and management level will lead to a significant decline in national carbon intensity; third, the national carbon intensity will reduce by 0.36%, 0.119%, and 0.04% respectively, if the coal using efficiency in electricity and heat industry, coke using efficiency in metal smelting and processing industry, and the diesel using efficiency in transport and post industry increases by 1%; fourth, during 1990–2015, the elasticity of national carbon intensity with respect to the degree of residential coal saving drastically decreased and the elasticity of that with respect to the degree of refined oil saving significantly increased, yet the elasticity of that with respect to the degree of natural gas saving was relatively stable.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eneco.2020.104679&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu90 citations 90 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eneco.2020.104679&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 United KingdomPublisher:Elsevier BV Authors:Chi Kong Chyong;
Michael Pollitt;Chi Kong Chyong
Chi Kong Chyong in OpenAIREDavid Reiner;
David Reiner
David Reiner in OpenAIRECarmen Li;
Carmen Li
Carmen Li in OpenAIRERussia’s invasion of Ukraine has reaffirmed the importance of scaling up renewable energy to decarbonise Europe’s economy while rapidly reducing its exposure to foreign fossil fuel suppliers. Therefore, the question of sources of flexibility to support a fully decarbonised European energy system is becoming even more critical in light of a renewable-dominated energy system. We developed and used a Pan-European energy system model to systematically assess and quantify sources of flexibility to meet deep decarbonisation targets. The electricity supply sector and electricity-based end-use technologies are crucial in achieving deep decarbonisation. Other low-carbon energy sources like biomethane, hydrogen, synthetic e-fuels, and bioenergy with carbon capture and storage will also play a role. To support a fully decarbonised European energy system by 2050, both temporal and spatial flexibility will be needed. Spatial flexibility, achieved through investments in national electricity networks and cross-border interconnections, is crucial to support the aggressive roll-out of variable renewable energy sources. Cross-border trade in electricity is expected to increase, and in deep decarbonisation scenarios, the electricity transmission capacity will be larger than that of natural gas. Hydrogen storage and green hydrogen production will play a key role in providing traditional inter-seasonal flexibility, and intraday flexibility will be provided by a combination of electrical energy storage, hydrogen-based storage solutions (e.g., liquid H2 and pressurised storage), and hybrid heat pumps. Hydrogen networks and storage will become more critical as we move towards the highest decarbonisation scenario. Still, the need for natural gas networks and storage will decrease substantially.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.esr.2024.101322&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 9 citations 9 popularity Average influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.esr.2024.101322&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Research , Journal , Preprint 2016Embargo end date: 22 Apr 2016 United KingdomPublisher:Elsevier BV An increasing block tariff (IBT) has been implemented nationwide in the residential sector in China since July 2012 as part of a process towards liberalizing electricity prices. However, knowledge about IBT design is still limited, particularly how to determine the electricity volume for the first block of an IBT scheme. Assuming the first block should be set based on some measure of electricity poverty, we attempt to model household electricity demand such that the range of basic needs can be established. We find that in Chinese households there exists a threshold for electricity consumption with respect to income, which might be considered a measure of electricity poverty, and the threshold differs between rural and urban areas. For rural (urban) families, electricity consumption at the level of 7th (5th) income decile households can be considered the threshold for basic needs or a measure of electricity poverty since household electricity demand in rural (urban) areas does not respond to income changes until after the 7th (5th) income decile. Further, for the case of China's electricity consumption, we find that if there is a saturation point, after which household energy needs would not rise further proportionately with increasing income, it is far from having been reached. Whereas the first IBT block was set at 240 kWh per household for Beijing, we estimate basic needs to be roughly 90 kWh per month for rural households and 150 kWh for urban households. The first IBT block therefore appears to have been set at a level that is too high, roughly equivalent to the average consumption of the top decile of urban residents. Over time however, given continued rapid growth, the IBT will begin to better reflect actual basic needs.
Research Papers in E... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enpol.2015.12.033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 64 citations 64 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Research Papers in E... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.enpol.2015.12.033&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016 United KingdomPublisher:Springer Science and Business Media LLC Carbon dioxide capture and storage (CCS) technology is considered by many to be an essential route to meet climate mitigation targets in the power and industrial sectors. Deploying CCS technologies globally will first require a portfolio of large-scale demonstration projects. These first projects should assist learning by diversity, learning by replication, de-risking the technologies and developing viable business models. From 2005 to 2009, optimism about the pace of CCS rollout led to mutually independent efforts in the European Union, North America and Australia to assemble portfolios of projects. Since 2009, only a few of these many project proposals remain viable, but the initial rationales for demonstration have not been revisited in the face of changing circumstances. Here I argue that learning is now both more difficult and more important given the slow pace of deployment. Developing a more coordinated global portfolio will facilitate learning across projects and may determine whether CCS ever emerges from the demonstration phase. Carbon capture and storage is considered an important element to meet our climate mitigation targets. This Perspective explores the history of the first wave of projects and what challenges must be faced if widespread deployment is to be successful.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/nenergy.2015.11&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 210 citations 210 popularity Top 1% influence Top 1% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/nenergy.2015.11&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020Embargo end date: 08 Nov 2019 United KingdomPublisher:SAGE Publications Funded by:UKRI | CCS from Industrial clust...UKRI| CCS from Industrial clusters and their Supply chains (CCSInSupply)We investigate the direct role of technological innovation and other factors influencing industrial energy intensity 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. In particular, we find a much stronger effect of patent stock on energy-intensive industries with an estimated coefficient of -0.138 which almost double that of less energy-intensive industries (estimated at -0.085). While our results show that energy price remains the major determinant of energy intensity, the chemicals industry, which is not covered by the EU Emissions Trading Scheme (ETS) during the sample period, appears more susceptible to energy prices relative to other energy-intensive industries that are covered by the EU ETS. Exploring regional differences in carbon taxation, we find a significant decline in energy intensity in Northern Europe owing to the carbon tax policy implemented in the early 1990s across the Nordic countries.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5547/01956574.41.4.vaja&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 20 citations 20 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5547/01956574.41.4.vaja&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Journal 2018Embargo end date: 01 May 2018 United Kingdom, Germany, United Kingdom, United Kingdom, United States, United Kingdom, Switzerland, Switzerland, United Kingdom, United KingdomPublisher:Royal Society of Chemistry (RSC) Funded by:EC | LEILAC, UKRI | Migration of CO2 through ..., UKRI | CCS from Industrial clust... +4 projectsEC| LEILAC ,UKRI| Migration of CO2 through North Sea Geological Carbon Storage Sites: Impact of Faults, Geological Heterogeneities and Dissolution ,UKRI| CCS from Industrial clusters and their Supply chains (CCSInSupply) ,EC| MaGic ,UKRI| Multi-scale Energy Systems Modelling Encompassing Renewable, Intermittent, Stored Energy and Carbon Capture and Storage (MESMERISE-CCS) ,UKRI| Comparative assessment and region-specific optimisation of GGR ,UKRI| Opening New Fuels for UK GenerationAuthors:Jason P. Hallett;
Jason P. Hallett
Jason P. Hallett in OpenAIREGraeme Puxty;
Jennifer Wilcox; Jeffrey A. Reimer; +27 AuthorsGraeme Puxty
Graeme Puxty in OpenAIREJason P. Hallett;
Jason P. Hallett
Jason P. Hallett in OpenAIREGraeme Puxty;
Jennifer Wilcox; Jeffrey A. Reimer; Amparo Galindo;Graeme Puxty
Graeme Puxty in OpenAIREHoward J. Herzog;
Claire S. Adjiman;Howard J. Herzog
Howard J. Herzog in OpenAIREJ. P. Martin Trusler;
J. P. Martin Trusler
J. P. Martin Trusler in OpenAIREEdward J. Anthony;
Edward J. Anthony
Edward J. Anthony in OpenAIREAndy Boston;
Andy Boston
Andy Boston in OpenAIRESolomon Brown;
Solomon Brown
Solomon Brown in OpenAIREAndré Bardow;
André Bardow
André Bardow in OpenAIRESamuel Krevor;
Samuel Krevor
Samuel Krevor in OpenAIREEdward S. Rubin;
Edward S. Rubin
Edward S. Rubin in OpenAIREDavid Reiner;
David Reiner
David Reiner in OpenAIREStuart A. Scott;
Stuart A. Scott
Stuart A. Scott in OpenAIREMai Bui;
Jasmin Kemper;Geoffrey C. Maitland;
Nilay Shah; Michael Matuszewski;Geoffrey C. Maitland
Geoffrey C. Maitland in OpenAIREIan S. Metcalfe;
Leigh A. Hackett;Ian S. Metcalfe
Ian S. Metcalfe in OpenAIREPaul A. Webley;
Paul A. Webley
Paul A. Webley in OpenAIRESabine Fuss;
Sabine Fuss
Sabine Fuss in OpenAIREBerend Smit;
Berend Smit; Camille Petit; Paul S. Fennell; George Jackson;Berend Smit
Berend Smit in OpenAIRENiall Mac Dowell;
Niall Mac Dowell
Niall Mac Dowell in OpenAIREhandle: 10044/1/55714
Carbon capture and storage (CCS) is vital to climate change mitigation, and has application across the economy, in addition to facilitating atmospheric carbon dioxide removal resulting in emissions offsets and net negative emissions. This contribution reviews the state-of-the-art and identifies key challenges which must be overcome in order to pave the way for its large-scale deployment.
CORE arrow_drop_down Cranfield University: Collection of E-Research - CERESArticle . 2018License: CC BYFull-Text: http://dx.doi.org/10.1039/C7EE02342AData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10044/1/55714Data sources: Bielefeld Academic Search Engine (BASE)Newcastle University Library ePrints ServiceArticleLicense: CC BYFull-Text: https://eprints.ncl.ac.uk/246789Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2018Full-Text: https://escholarship.org/uc/item/4212s92jData sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaPublikationsserver der RWTH Aachen UniversityArticle . 2018Data sources: Publikationsserver der RWTH Aachen UniversityeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaEnergy & Environmental ScienceArticle . 2018 . Peer-reviewedData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1039/c7ee02342a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 3K citations 2,721 popularity Top 0.01% influence Top 0.1% impulse Top 0.01% Powered by BIP!
more_vert CORE arrow_drop_down Cranfield University: Collection of E-Research - CERESArticle . 2018License: CC BYFull-Text: http://dx.doi.org/10.1039/C7EE02342AData sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2018License: CC BYFull-Text: http://hdl.handle.net/10044/1/55714Data sources: Bielefeld Academic Search Engine (BASE)Newcastle University Library ePrints ServiceArticleLicense: CC BYFull-Text: https://eprints.ncl.ac.uk/246789Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2018Full-Text: https://escholarship.org/uc/item/4212s92jData sources: Bielefeld Academic Search Engine (BASE)Spiral - Imperial College Digital RepositoryArticle . 2018Data sources: Spiral - Imperial College Digital RepositoryeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaPublikationsserver der RWTH Aachen UniversityArticle . 2018Data sources: Publikationsserver der RWTH Aachen UniversityeScholarship - University of CaliforniaArticle . 2018Data sources: eScholarship - University of CaliforniaEnergy & Environmental ScienceArticle . 2018 . Peer-reviewedData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2018Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1039/c7ee02342a&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Research , Other literature type 2022Embargo end date: 19 May 2021 United KingdomPublisher:Elsevier BV Authors:Jieyi Kang;
Jieyi Kang
Jieyi Kang in OpenAIREDavid M. Reiner;
David M. Reiner
David M. Reiner in OpenAIREWe explore the links between weather variables and residential electricity consumption using high-resolution smart metering data. While weather factors have been used for grid-level electricity demand estimations, the impact of different weather conditions on individual households has not been fully addressed. The deployment of smart meters enables us to analyse weather effects in different periods of the day using hourly panel datasets, which would previously have been impossible. To conduct the analysis, fixed-effects models are employed on half-hourly electricity consumption data from 3827 Irish household meters. We demonstrate that temperature has robust and relatively flat effects on electricity demand across all periods, whereas rain and sunshine duration show greater potential to affect individual behaviour and daily routines. The models show that the most sensitive periods differ for each weather variable. We also test the responses to weather factors for weekends and workdays. Weather sensitivities vary with the day of the week, which might be caused by different household patterns over the course of the week. The methodology employed in this study could be instructive for improving understanding behavioural response in household energy consumption. By using only weather indicators, this approach can be quicker and simpler than traditional methods —such as surveys or questionnaires — in identifying the periods when households are more responsive.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eneco.2022.106023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu32 citations 32 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eneco.2022.106023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Research , Other literature type 2022Embargo end date: 15 Nov 2022 United KingdomPublisher:MDPI AG Funded by:UKRI | Comparative assessment an..., UKRI | UK Carbon Capture and Sto...UKRI| Comparative assessment and region-specific optimisation of GGR ,UKRI| UK Carbon Capture and Storage Research Centre 2017 (UKCCSRC 2017)Authors:Zeynep Clulow;
Zeynep Clulow
Zeynep Clulow in OpenAIREDavid M. Reiner;
David M. Reiner
David M. Reiner in OpenAIREDespite the growing consensus surrounding the need to decarbonise power for meeting an increasingly ambitious temperature target as set by the 2015 Paris Agreement, the share of low-carbon energy sources in the overall energy mix has varied 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 in this article. A second-order regression of the 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, in contrast, having the opposite effects (promoting solar, wind and hydro and inhibiting nuclear shares) in developing countries.
Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su142013213&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 11 citations 11 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Sustainability arrow_drop_down SustainabilityOther literature type . 2022License: CC BYData sources: Multidisciplinary Digital Publishing Instituteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/su142013213&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2011Publisher:Elsevier BV Authors:Jon Gibbins;
Jon Gibbins
Jon Gibbins in OpenAIREJia Li;
David Reiner;
David Reiner
David Reiner in OpenAIREXi Liang;
+3 AuthorsXi Liang
Xi Liang in OpenAIREJon Gibbins;
Jon Gibbins
Jon Gibbins in OpenAIREJia Li;
David Reiner;
David Reiner
David Reiner in OpenAIREXi Liang;
Xi Liang;Xi Liang
Xi Liang in OpenAIREHannah Chalmers;
Hannah Chalmers
Hannah Chalmers in OpenAIREMathieu Lucquiaud;
Mathieu Lucquiaud
Mathieu Lucquiaud in OpenAIREAbstractWe evaluate the benefits of a ‘CCS Ready Hub’ approach, a regional ‘CCS Ready’ strategy, which not only includes a number of new coal-fired power plants but also integrates other existing stationary CO2 emissions sources, potential storage sites and potential transportation opportunities into an overarching simulation model. A dynamic top-down simulation model was built based on economic decision criteria and option pricing theory. The model inputs and assumptions build on spatial sampling and analysis using a geographic information system (GIS) approach, engineering assessment of local projects and outputs of a CCS retrofitting investment evaluation through cost cash flow modelling. A case study of Shenzhen city in the Pearl River Delta area in Guangdong in southern China is presented, based on engineering and cost assessment studies and stakeholder consultations and building on existing geological surveys and infrastructure plans. The simulation results show that financing ‘CCS Ready’ at regional planning level rather than only at the design stage of the individual plant (or project) is preferred since it reduces the overall cost of building integrated CCS systems. On the other hand, we found the value of considering existing stationary CO2 emissions sources in CCS ready design. Therefore, we recommended that making new plants CCS ready or planning a CCS ready hub should consider existing large emissions sources when possible.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2011.02.155&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 5 citations 5 popularity Average influence Average impulse Average Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.egypro.2011.02.155&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu