Pub Date : 2025-10-09DOI: 10.1016/j.egycc.2025.100216
Cristiam Gil , Andres Rey-Ladino , Gordon Wilmsmeier , Ana María Montes , Emrah Demir , Wessam Abouarghoub , Vasco Sanchez-Rodrigues
This study introduces a simulation-based analysis of the decarbonization options for the road freight transport sector. It focuses on exploring the impact of operational and management measures on fleet renewal strategies aimed at achieving net zero goals by 2050. The proposed approach integrates current and planned future policy changes, operational practices, and technology renewal into the modeling process to offer a macro-level perspective on the decarbonization challenge. Specifically, the proposed modeling approach takes into account the reduction of empty trips, the optimization of cargo consolidation, and the promotion of eco-driving practices based on national freight transport data (i.e. covering more than 7.99 million trips). The proposed approach examines the effect of introducing contemporary vehicle technologies, such as new diesel vehicles (EURO VI or higher), new natural gas vehicles (EURO VI or higher), electric vehicles and hydrogen vehicles, as feasible replacements for aging vehicles powered by conventional fossil fuels. The adoption of these cleaner and newer technologies demonstrates the potential for emission reductions of up to 13% (2,070,000 tons CO2e) by 2030 and 47% (13,232,000 tons CO2e) by 2050. In addition, the results obtained from this research can serve as an exemplary case study for other emerging economies.
{"title":"A simulation-based analysis for the road freight transport decarbonization: A case study of Colombia","authors":"Cristiam Gil , Andres Rey-Ladino , Gordon Wilmsmeier , Ana María Montes , Emrah Demir , Wessam Abouarghoub , Vasco Sanchez-Rodrigues","doi":"10.1016/j.egycc.2025.100216","DOIUrl":"10.1016/j.egycc.2025.100216","url":null,"abstract":"<div><div>This study introduces a simulation-based analysis of the decarbonization options for the road freight transport sector. It focuses on exploring the impact of operational and management measures on fleet renewal strategies aimed at achieving net zero goals by 2050. The proposed approach integrates current and planned future policy changes, operational practices, and technology renewal into the modeling process to offer a macro-level perspective on the decarbonization challenge. Specifically, the proposed modeling approach takes into account the reduction of empty trips, the optimization of cargo consolidation, and the promotion of eco-driving practices based on national freight transport data (i.e. covering more than 7.99 million trips). The proposed approach examines the effect of introducing contemporary vehicle technologies, such as new diesel vehicles (EURO VI or higher), new natural gas vehicles (EURO VI or higher), electric vehicles and hydrogen vehicles, as feasible replacements for aging vehicles powered by conventional fossil fuels. The adoption of these cleaner and newer technologies demonstrates the potential for emission reductions of up to 13% (2,070,000 tons CO<sub>2</sub>e) by 2030 and 47% (13,232,000 tons CO<sub>2</sub>e) by 2050. In addition, the results obtained from this research can serve as an exemplary case study for other emerging economies.</div></div>","PeriodicalId":72914,"journal":{"name":"Energy and climate change","volume":"6 ","pages":"Article 100216"},"PeriodicalIF":5.6,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-30DOI: 10.1016/j.egycc.2025.100217
John Pickering , Mahika Hari , Genevieve Kieseker , Marissa Jordan , Elke Weber , Chris Greig , Echo D. Cartwright , Elizabeth Smith , Sheila Webb-Halpern , Toneya McIntosh
Climate change necessitates an urgent transition away from fossil fuels and towards renewable energy, yet widespread public support for a shift in energy systems does not guarantee local acceptance of renewable energy developments and projects. This article explores the complexities inherent in community opposition to local renewable energy developments and shares strategies to enhance community understanding and involvement in decision-making. We adopt a behavioral science approach that integrates both individual and group-level insights to complement and build on frameworks in political economy, facilitation, and community organizing to empower communities to make informed, self-determined choices through more inclusive, participatory processes. The insights presented in this article derive from and distill the authors’ experiences and observations as applied behavioral scientists, practitioners, and researchers working at the intersection of energy transition and community acceptance. We first outline five key barriers that underlie community opposition and then propose a four-step solution to build capacity within communities to make effective decisions around renewable energy developments. We discuss actions that policymakers and practitioners can take to promote effective engagement with communities – and, in particular, economic and resource disadvantaged communities – to ensure that the benefits of renewable energy are equitably shared, and that no community is left behind in the transition to a sustainable energy future.
{"title":"Building trust in the energy transition: an approach based on behavioral science","authors":"John Pickering , Mahika Hari , Genevieve Kieseker , Marissa Jordan , Elke Weber , Chris Greig , Echo D. Cartwright , Elizabeth Smith , Sheila Webb-Halpern , Toneya McIntosh","doi":"10.1016/j.egycc.2025.100217","DOIUrl":"10.1016/j.egycc.2025.100217","url":null,"abstract":"<div><div>Climate change necessitates an urgent transition away from fossil fuels and towards renewable energy, yet widespread public support for a shift in energy systems does not guarantee local acceptance of renewable energy developments and projects. This article explores the complexities inherent in community opposition to local renewable energy developments and shares strategies to enhance community understanding and involvement in decision-making. We adopt a behavioral science approach that integrates both individual and group-level insights to complement and build on frameworks in political economy, facilitation, and community organizing to empower communities to make informed, self-determined choices through more inclusive, participatory processes. The insights presented in this article derive from and distill the authors’ experiences and observations as applied behavioral scientists, practitioners, and researchers working at the intersection of energy transition and community acceptance. We first outline five key barriers that underlie community opposition and then propose a four-step solution to build capacity within communities to make effective decisions around renewable energy developments. We discuss actions that policymakers and practitioners can take to promote effective engagement with communities – and, in particular, economic and resource disadvantaged communities – to ensure that the benefits of renewable energy are equitably shared, and that no community is left behind in the transition to a sustainable energy future.</div></div>","PeriodicalId":72914,"journal":{"name":"Energy and climate change","volume":"6 ","pages":"Article 100217"},"PeriodicalIF":5.6,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145361995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-29DOI: 10.1016/j.egycc.2025.100218
Adrien Chanteloup , Lea Diestelmeier , Goda Perlaviciute
Citizens are, and will be, increasingly impacted by climate change and the energy transition. However, citizens are more often excluded from the governance of the energy transition, which is typically centralized and vertically organised. A (transition towards a) modified energy system is usually not something addressed at citizen level. This article explores the potential narratives of citizens concerning (new) forms of energy governance. Our bottom-up qualitative approach gathered perspectives from randomly selected Dutch and French citizens through semi-structured interviews, on the existing and future energy governance models. Participants advocated for the implementation of energy efficiency and sufficiency strategies. Both strategies imply radical shifts in energy governance, essentially for what and how energy is produced and used. Next, participants proposed original ideas for enacting a more inclusive, democratic and just energy governance, demonstrating a high capability to imagine different futures for themselves and society in relation to energy and energy governance. We identify citizens’ “creative capital” for energy governance and argue that this brings added value for designing energy governance for a more socially, politically and environmentally sustainable energy system.
{"title":"Citizens' creative capital in energy governance: enacting inclusive energy governance in the Netherlands and France","authors":"Adrien Chanteloup , Lea Diestelmeier , Goda Perlaviciute","doi":"10.1016/j.egycc.2025.100218","DOIUrl":"10.1016/j.egycc.2025.100218","url":null,"abstract":"<div><div>Citizens are, and will be, increasingly impacted by climate change and the energy transition. However, citizens are more often excluded from the governance of the energy transition, which is typically centralized and vertically organised. A (transition towards a) modified energy system is usually not something addressed at citizen level. This article explores the potential narratives of citizens concerning (new) forms of energy governance. Our bottom-up qualitative approach gathered perspectives from randomly selected Dutch and French citizens through semi-structured interviews, on the existing and future energy governance models. Participants advocated for the implementation of energy efficiency and sufficiency strategies. Both strategies imply radical shifts in energy governance, essentially for what and how energy is produced and used. Next, participants proposed original ideas for enacting a more inclusive, democratic and just energy governance, demonstrating a high capability to imagine different futures for themselves and society in relation to energy and energy governance. We identify citizens’ “creative capital” for energy governance and argue that this brings added value for designing energy governance for a more socially, politically and environmentally sustainable energy system.</div></div>","PeriodicalId":72914,"journal":{"name":"Energy and climate change","volume":"6 ","pages":"Article 100218"},"PeriodicalIF":5.6,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145219036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-22DOI: 10.1016/j.egycc.2025.100215
Songhua Huan , Liwen Liu
The Food-Water-Energy-Environment (FWEE) analysis plays a crucial role in understanding the interconnected challenges of resource scarcity, sustainability, and climate change. However, these challenges are often complex and interdependent, making it difficult for a single model to capture their full dynamics. Integrated Assessment Models (IAMs) have emerged as a promising approach to address this issue. As a result, IAMs within the FWEE framework have become a major research focus, attracting considerable academic attention. Despite this, current research is fragmented and lacks a cohesive framework. To fill this gap, we conducted a bibliometric analysis using data from the Web of Science Core Collection, reviewing IAMs research in the FWEE domain from 1990 to 2024. Utilizing VOSviewer and CiteSpace for data visualization and assessment, we mapped the research landscape of IAMs in FWEE. Our study employed various techniques, such as co-occurrence analysis, clustering, and burst analysis, to: (1) identify key research trends, journals, and domains; (2) map the leading countries, their collaborations, and prominent authors and institutions; (3) highlight the foundational knowledge system, focusing on model development, emerging technologies, and research methods, noting a shift from early theoretical analyses to empirical studies on emerging technologies and policy analysis; and (4) pinpoint current research hotspots, including energy technology, social costs, and technical change, while providing an overview of research evolution and quality distribution. Finally, we suggest that future studies focus on advancing IAMs development for FWEE, especially with the integration of artificial intelligence. This study offers a comprehensive framework of existing research, providing valuable insights for future theoretical exploration and innovative applications.
食物-水-能源-环境（FWEE）分析在理解资源短缺、可持续性和气候变化等相互关联的挑战方面发挥着至关重要的作用。然而，这些挑战通常是复杂和相互依赖的，使得单个模型很难捕捉到它们的全部动态。综合评估模型（iam）已经成为解决这一问题的一种很有前途的方法。因此，在FWEE框架内的iam已经成为一个主要的研究焦点，引起了相当大的学术关注。尽管如此，目前的研究是碎片化的，缺乏一个有凝聚力的框架。为了填补这一空白，我们使用Web of Science核心馆藏的数据进行了文献计量分析，回顾了1990年至2024年在FWEE领域的IAMs研究。利用VOSviewer和CiteSpace进行数据可视化和评估，绘制了FWEE中IAMs的研究格局。本研究采用了共现分析、聚类分析和突发分析等多种技术：(1)确定关键研究趋势、期刊和领域；(2)绘制主要国家、合作伙伴、知名作者和机构的地图；(3)突出基础知识体系，重点关注模型开发、新兴技术和研究方法，从早期的理论分析转向新兴技术和政策分析的实证研究；(4)指出能源技术、社会成本和技术变革等当前研究热点，并提供研究演变和质量分布概况。最后，我们建议未来的研究重点是推进面向FWEE的人工智能系统的发展，特别是与人工智能的融合。本研究为现有研究提供了一个全面的框架，为未来的理论探索和创新应用提供了有价值的见解。
{"title":"Research progress of integrated assessment models in food-water-energy-environment analysis: A bibliometric analysis","authors":"Songhua Huan , Liwen Liu","doi":"10.1016/j.egycc.2025.100215","DOIUrl":"10.1016/j.egycc.2025.100215","url":null,"abstract":"<div><div>The Food-Water-Energy-Environment (FWEE) analysis plays a crucial role in understanding the interconnected challenges of resource scarcity, sustainability, and climate change. However, these challenges are often complex and interdependent, making it difficult for a single model to capture their full dynamics. Integrated Assessment Models (IAMs) have emerged as a promising approach to address this issue. As a result, IAMs within the FWEE framework have become a major research focus, attracting considerable academic attention. Despite this, current research is fragmented and lacks a cohesive framework. To fill this gap, we conducted a bibliometric analysis using data from the Web of Science Core Collection, reviewing IAMs research in the FWEE domain from 1990 to 2024. Utilizing VOSviewer and CiteSpace for data visualization and assessment, we mapped the research landscape of IAMs in FWEE. Our study employed various techniques, such as co-occurrence analysis, clustering, and burst analysis, to: (1) identify key research trends, journals, and domains; (2) map the leading countries, their collaborations, and prominent authors and institutions; (3) highlight the foundational knowledge system, focusing on model development, emerging technologies, and research methods, noting a shift from early theoretical analyses to empirical studies on emerging technologies and policy analysis; and (4) pinpoint current research hotspots, including energy technology, social costs, and technical change, while providing an overview of research evolution and quality distribution. Finally, we suggest that future studies focus on advancing IAMs development for FWEE, especially with the integration of artificial intelligence. This study offers a comprehensive framework of existing research, providing valuable insights for future theoretical exploration and innovative applications.</div></div>","PeriodicalId":72914,"journal":{"name":"Energy and climate change","volume":"6 ","pages":"Article 100215"},"PeriodicalIF":5.6,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145158040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-05DOI: 10.1016/j.egycc.2025.100214
Ilya Stepanov , Johan Albrecht
Carbon pricing is a key element of climate policy, but carbon taxes and emissions trading currently cover less than a quarter of global emissions. By contrast, economy-wide general energy taxes (e.g., motor fuel taxes), although not originally designed for climate purposes, can also contribute to emission reductions. Based on European tax statistics and emissions data, this paper compares explicit carbon pricing with general energy taxes, which also place a price on carbon, albeit indirectly. We apply a two-way fixed effects panel regression to a sample of 31 countries over the period 2002–2018. The results indicate that a 1% increase in explicit carbon prices and general energy taxes has, on average, led to a 0.6% and 0.9% reduction in emissions, respectively, with no statistically significant difference between their estimated impacts. Our findings confirm the importance of explicit carbon pricing, which directly targets the carbon content of fuel use and encourages a shift toward cleaner energy sources. Although less frequently discussed in the climate policy context, general energy taxes have a comparable impact on emissions, owing to their wide application and their role in promoting more efficient energy use.
{"title":"A broader view of carbon pricing: The role of general energy taxes in emission reductions","authors":"Ilya Stepanov , Johan Albrecht","doi":"10.1016/j.egycc.2025.100214","DOIUrl":"10.1016/j.egycc.2025.100214","url":null,"abstract":"<div><div>Carbon pricing is a key element of climate policy, but carbon taxes and emissions trading currently cover less than a quarter of global emissions. By contrast, economy-wide general energy taxes (e.g., motor fuel taxes), although not originally designed for climate purposes, can also contribute to emission reductions. Based on European tax statistics and emissions data, this paper compares explicit carbon pricing with general energy taxes, which also place a price on carbon, albeit indirectly. We apply a two-way fixed effects panel regression to a sample of 31 countries over the period 2002–2018. The results indicate that a 1% increase in explicit carbon prices and general energy taxes has, on average, led to a 0.6% and 0.9% reduction in emissions, respectively, with no statistically significant difference between their estimated impacts. Our findings confirm the importance of explicit carbon pricing, which directly targets the carbon content of fuel use and encourages a shift toward cleaner energy sources. Although less frequently discussed in the climate policy context, general energy taxes have a comparable impact on emissions, owing to their wide application and their role in promoting more efficient energy use.</div></div>","PeriodicalId":72914,"journal":{"name":"Energy and climate change","volume":"6 ","pages":"Article 100214"},"PeriodicalIF":5.6,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145465324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-04DOI: 10.1016/j.egycc.2025.100213
Ashwin Vijay Jadhav, Rohini Lakshman Bhawar
Understanding future changes in surface solar radiation (SSR) is crucial for long-term renewable energy planning, especially in solar-rich countries such as India. However, high-resolution and bias-corrected SSR datasets for India remain scarce, limiting accurate assessment of future solar energy potential. In this study, we develop daily bias-corrected and statistically downscaled (BCD) dataset of SSR at a spatial resolution of 0.25°×0.25° for the Indian subcontinent. Simulations from nine Coupled Model Intercomparison Project Phase-6 (CMIP6) climate models are used for the historical period (1951–2014) and future period (2021–2100) under three Shared Socioeconomic Pathways (SSP1–2.6, SSP2–4.5, SSP5–8.5). The BCD was implemented using the Empirical Quantile Mapping (EQM) method at each fine-resolution grid point, improving local-scale variability representation. ERA5’s surface solar radiation downward (SSRD) is used as the reference dataset to downscale, bias correct, and validate the models. Evaluation of BCD dataset against observations showed substantial performance improvement, with correlation coefficients increasing from 0.65 to 0.81 (raw) to 0.89–0.94 (corrected) and reducing root mean square error across all models. These improvements in dataset reliability lay a strong foundation for analysing future SSR dynamics under different climate scenarios.
Future projections indicate a progressive decline in SSR with increasing emission intensity: modest changes under SSP1–2.6, with slight positive anomalies over parts of northern India, and pronounced reductions of up to –10 % under SSP2–4.5 and SSP5–8.5, particularly over central, southern, and eastern India. Decadal trends reveal average declines of –0.11 %, –0.52 %, and –0.60 % per decade under SSP1–2.6, SSP2–4.5, and SSP5–8.5, respectively, with a temporary slowdown in mid-century (2041–2060) under SSP2–4.5 followed by renewed intensification. The resulting high-resolution BCD dataset not only represents a technical advancement in the robust downscaling of CMIP6 SSR for India but also provides a practical resource to guide solar park siting, optimize grid integration strategies, and support climate-resilient energy policy development.
{"title":"Future changes in surface solar radiation over India: A bias-corrected and downscaled assessment of CMIP6 projections for renewable energy planning","authors":"Ashwin Vijay Jadhav, Rohini Lakshman Bhawar","doi":"10.1016/j.egycc.2025.100213","DOIUrl":"10.1016/j.egycc.2025.100213","url":null,"abstract":"<div><div>Understanding future changes in surface solar radiation (SSR) is crucial for long-term renewable energy planning, especially in solar-rich countries such as India. However, high-resolution and bias-corrected SSR datasets for India remain scarce, limiting accurate assessment of future solar energy potential. In this study, we develop daily bias-corrected and statistically downscaled (BCD) dataset of SSR at a spatial resolution of 0.25°×0.25° for the Indian subcontinent. Simulations from nine Coupled Model Intercomparison Project Phase-6 (CMIP6) climate models are used for the historical period (1951–2014) and future period (2021–2100) under three Shared Socioeconomic Pathways (SSP1–2.6, SSP2–4.5, SSP5–8.5). The BCD was implemented using the Empirical Quantile Mapping (EQM) method at each fine-resolution grid point, improving local-scale variability representation. ERA5’s surface solar radiation downward (SSRD) is used as the reference dataset to downscale, bias correct, and validate the models. Evaluation of BCD dataset against observations showed substantial performance improvement, with correlation coefficients increasing from 0.65 to 0.81 (raw) to 0.89–0.94 (corrected) and reducing root mean square error across all models. These improvements in dataset reliability lay a strong foundation for analysing future SSR dynamics under different climate scenarios.</div><div>Future projections indicate a progressive decline in SSR with increasing emission intensity: modest changes under SSP1–2.6, with slight positive anomalies over parts of northern India, and pronounced reductions of up to –10 % under SSP2–4.5 and SSP5–8.5, particularly over central, southern, and eastern India. Decadal trends reveal average declines of –0.11 %, –0.52 %, and –0.60 % per decade under SSP1–2.6, SSP2–4.5, and SSP5–8.5, respectively, with a temporary slowdown in mid-century (2041–2060) under SSP2–4.5 followed by renewed intensification. The resulting high-resolution BCD dataset not only represents a technical advancement in the robust downscaling of CMIP6 SSR for India but also provides a practical resource to guide solar park siting, optimize grid integration strategies, and support climate-resilient energy policy development.</div></div>","PeriodicalId":72914,"journal":{"name":"Energy and climate change","volume":"6 ","pages":"Article 100213"},"PeriodicalIF":5.6,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145026760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-26DOI: 10.1016/j.egycc.2025.100212
Catarina Neves , Tiago Oliveira , Stylianos Karatzas
Local energy communities present great potential in changing the current energy paradigm, contributing to a more decarbonized and decentralized system aligned with the sustainable development goals. Given this, it is highly relevant to understanding the antecedents of citizens' intention to participate in these communities. Therefore, this work focuses on two main elements of these communities – social and environmental. Hence, citizen behaviour is analysed in light of the social identity and pro-environmental behaviour theories. Moreover, the knowledge dimension is assessed as a moderator of those relationships. The model is tested using a sample of 400 individuals from Greece using structural equation modelling. The work uncovers the relevance of community commitment, trust, and pro-environmental behaviour. Additionally, knowledge is found to be a strong moderator. These findings are especially relevant for practitioners to comprehend better and boost citizens' willingness to participate in local energy communities.
{"title":"Citizen participation in local energy communities: A social identity and pro-environmental behaviour joint perspective","authors":"Catarina Neves , Tiago Oliveira , Stylianos Karatzas","doi":"10.1016/j.egycc.2025.100212","DOIUrl":"10.1016/j.egycc.2025.100212","url":null,"abstract":"<div><div>Local energy communities present great potential in changing the current energy paradigm, contributing to a more decarbonized and decentralized system aligned with the sustainable development goals. Given this, it is highly relevant to understanding the antecedents of citizens' intention to participate in these communities. Therefore, this work focuses on two main elements of these communities – social and environmental. Hence, citizen behaviour is analysed in light of the social identity and pro-environmental behaviour theories. Moreover, the knowledge dimension is assessed as a moderator of those relationships. The model is tested using a sample of 400 individuals from Greece using structural equation modelling. The work uncovers the relevance of community commitment, trust, and pro-environmental behaviour. Additionally, knowledge is found to be a strong moderator. These findings are especially relevant for practitioners to comprehend better and boost citizens' willingness to participate in local energy communities.</div></div>","PeriodicalId":72914,"journal":{"name":"Energy and climate change","volume":"6 ","pages":"Article 100212"},"PeriodicalIF":5.6,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144907759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-11DOI: 10.1016/j.egycc.2025.100211
Christopher Hoehne , Matteo Muratori , John Bistline , Carol Lenox , David L. McCollum , Morgan Browning , Kara Podkaminer , Robert H. Beach , Robbie Orvis , Shiqi Ou , Page Kyle , Sharyn Lie , Megan Mahajan , Haewon McJeon , Catherine Ledna , Marc Melaina , Yongxia Cai , Christopher Ramig , Aniss Bahreinian , Nadejda Victor , John Weyant
Transportation is currently the largest source of U.S. anthropogenic CO2 emissions, at about a third of the total. Achieving net-zero emissions by mid-century will require substantial reductions in transportation emissions across passenger and freight travel. Here we leverage a model intercomparison study to explore the role of transportation in scenarios achieving net-zero economy-wide CO2 emissions by 2050. We find the transport sector is poised to play the most significant role in reducing demand-side emissions, mostly driven by technology substitution, as modeling results suggest a limited role for mode shifting and for reduced use of personal car travel in the U.S. Among various technology solutions, models show agreement that passenger on-road vehicles will largely transition to electric vehicles (EVs), while solutions to decarbonize heavier travel modes are more diverse and include greater use of liquid biofuels and hydrogen. Research should continue to investigate the evolution of on-road electrification, the role of biofuels and hydrogen across heavier travel modes, and the role of mode shifting and travel behavior change to support personal transportation decarbonization at national and regional scales to temper the rapid growth in clean fuel and electricity demand.
{"title":"Transportation in net-zero emissions futures: Insights from the EMF-37 model intercomparison study","authors":"Christopher Hoehne , Matteo Muratori , John Bistline , Carol Lenox , David L. McCollum , Morgan Browning , Kara Podkaminer , Robert H. Beach , Robbie Orvis , Shiqi Ou , Page Kyle , Sharyn Lie , Megan Mahajan , Haewon McJeon , Catherine Ledna , Marc Melaina , Yongxia Cai , Christopher Ramig , Aniss Bahreinian , Nadejda Victor , John Weyant","doi":"10.1016/j.egycc.2025.100211","DOIUrl":"10.1016/j.egycc.2025.100211","url":null,"abstract":"<div><div>Transportation is currently the largest source of U.S. anthropogenic CO<sub>2</sub> emissions, at about a third of the total. Achieving net-zero emissions by mid-century will require substantial reductions in transportation emissions across passenger and freight travel. Here we leverage a model intercomparison study to explore the role of transportation in scenarios achieving net-zero economy-wide CO<sub>2</sub> emissions by 2050. We find the transport sector is poised to play the most significant role in reducing demand-side emissions, mostly driven by technology substitution, as modeling results suggest a limited role for mode shifting and for reduced use of personal car travel in the U.S. Among various technology solutions, models show agreement that passenger on-road vehicles will largely transition to electric vehicles (EVs), while solutions to decarbonize heavier travel modes are more diverse and include greater use of liquid biofuels and hydrogen. Research should continue to investigate the evolution of on-road electrification, the role of biofuels and hydrogen across heavier travel modes, and the role of mode shifting and travel behavior change to support personal transportation decarbonization at national and regional scales to temper the rapid growth in clean fuel and electricity demand.</div></div>","PeriodicalId":72914,"journal":{"name":"Energy and climate change","volume":"6 ","pages":"Article 100211"},"PeriodicalIF":5.6,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144925609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Japan’s commitment to reach net-zero 2050 hinges on innovation in emerging, uncertain technologies. Yet, no study has systematically examined uncertainties in technology development for Japan’s net-zero goal in a multi-model framework. Here, we close this research gap by presenting the results of the Japan Model Intercomparison Project (JMIP) 2. Across models and technology scenarios with wide spreads in costs of emerging technologies, we consistently identify the following robust strategies for net zero: (1) reducing unabated fossil fuels, (2) improving economy-wide energy efficiency, (3) decarbonizing the power sector, and (4) deploying carbon dioxide removal. We also find that although the expansion of variable renewable energy and end-use electrification is robust, the precise level in 2050 remains uncertain. Using technology sensitivity scenarios, we show that the marginal cost of abatement (or carbon price) is significantly affected by the availability of carbon removal. Affordability of hydrogen and ammonia imports significantly affects primary energy supply in some models, underscoring a policy architecture that can flexibly adapt as the techno-economic landscape evolves.
{"title":"JMIP 2 Part 1: Technology uncertainty and robustness in Japan’s net-zero pathways","authors":"Masahiro Sugiyama , Hiroto Shiraki , Shinichiro Fujimori , Kenichi Wada , Tao CAO , Eamon Frazer , Hiroshi Hamasaki , Etsushi Kato , Yuhji Matsuo , Osamu Nishiura , Tatsuya Okubo , Ken Oshiro , Takashi Otsuki , Fuminori Sano , Hiroki Yoshida","doi":"10.1016/j.egycc.2025.100210","DOIUrl":"10.1016/j.egycc.2025.100210","url":null,"abstract":"<div><div>Japan’s commitment to reach net-zero 2050 hinges on innovation in emerging, uncertain technologies. Yet, no study has systematically examined uncertainties in technology development for Japan’s net-zero goal in a multi-model framework. Here, we close this research gap by presenting the results of the Japan Model Intercomparison Project (JMIP) 2. Across models and technology scenarios with wide spreads in costs of emerging technologies, we consistently identify the following robust strategies for net zero: (1) reducing unabated fossil fuels, (2) improving economy-wide energy efficiency, (3) decarbonizing the power sector, and (4) deploying carbon dioxide removal. We also find that although the expansion of variable renewable energy and end-use electrification is robust, the precise level in 2050 remains uncertain. Using technology sensitivity scenarios, we show that the marginal cost of abatement (or carbon price) is significantly affected by the availability of carbon removal. Affordability of hydrogen and ammonia imports significantly affects primary energy supply in some models, underscoring a policy architecture that can flexibly adapt as the techno-economic landscape evolves.</div></div>","PeriodicalId":72914,"journal":{"name":"Energy and climate change","volume":"6 ","pages":"Article 100210"},"PeriodicalIF":5.6,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144810499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-17DOI: 10.1016/j.egycc.2025.100209
Ronald D. Sands , Liz Wachs , Patrick Lamers , Olivier Bahn , Robert H. Beach , Matthew Binsted , Geoffrey Blanford , Yongxia Cai , Francisco De La Chesnaye , James A. Edmonds , Leonard Göke , Chioke Harris , Christopher Hoehne , Gyungwon J. Kim , Page Kyle , Haewon McJeon , Robbie Orvis , Sharon Showalter , Aditya Sinha , Emma Starke , Frances Wood
The Energy Modeling Forum 37 study is organized around carbon dioxide (CO2) mitigation scenarios reaching net-zero CO2 emissions by 2050 in the United States. This paper summarizes the potential contribution of bioenergy use in the electric power, transportation, industrial, and buildings sectors toward meeting that target based on model results. Thirteen modeling teams reported bioenergy consumption in the Reference and Net Zero scenarios. Consumption of bioenergy increased over time in the Reference scenario, from an average across models of 3.2 exajoules (EJ) in 2020 to 3.8 EJ in 2050. Average bioenergy consumption in 2050 increased further to 7.3 EJ in the Net Zero scenario. All scenarios that reach net-zero emissions required some form of carbon dioxide removal to offset emissions that are difficult to reduce. Carbon dioxide removal using bioenergy with CO2 capture and storage (BECCS) varies widely across models, up to 1000 Mt CO2 in 2050. Some models rely instead on direct air carbon capture and storage (DACCS), up to 2200 Mt CO2, and others use a combination of BECCS and DACCS. Model results show a strong inverse relationship between the amounts of BECCS and DACCS deployed. All modeling teams assumed a carbon sink from land use, land use change, and forestry, further offsetting a portion of emissions from fossil fuels and industry that are expensive to eliminate. Bioenergy consumption in 2050 decreased by an average of 1.5 EJ across eight models in a Net Zero+ scenario relative to the Net Zero scenario, due in part to a lower equilibrium carbon price resulting from optimistic cost assumptions for all energy technologies.
能源建模论坛37的研究是围绕美国到2050年实现二氧化碳净零排放的二氧化碳（CO2）缓解方案组织的。本文根据模型结果总结了生物能源在电力、交通、工业和建筑领域的潜在贡献，以实现这一目标。13个建模团队报告了参考情景和净零情景下的生物能源消耗。在参考情景中，生物能源的消费量随着时间的推移而增加，从2020年的3.2 EJ （EJ）到2050年的3.8 EJ。在净零情景下，2050年的平均生物能源消费量进一步增加到7.3 EJ。所有达到净零排放的方案都需要某种形式的二氧化碳去除来抵消难以减少的排放。利用生物能源与二氧化碳捕获和储存（BECCS）去除二氧化碳的方法在不同的模型中差异很大，到2050年将达到1000亿吨二氧化碳。一些模型依赖直接空气碳捕获和储存（DACCS），高达22亿吨二氧化碳，而其他模型则使用BECCS和DACCS的组合。模型结果显示，部署的BECCS数量与DACCS数量之间存在很强的反比关系。所有的建模团队都假设碳汇来自土地利用、土地利用变化和林业，进一步抵消了化石燃料和工业排放的一部分，这些排放要消除是昂贵的。与净零情景相比，净零+情景下的8种模式2050年生物能源消耗平均减少1.5 EJ，部分原因是对所有能源技术的乐观成本假设导致平衡碳价格降低。
{"title":"Bioenergy pathways within United States net-zero CO2 emissions scenarios in the Energy Modeling Forum 37 study","authors":"Ronald D. Sands , Liz Wachs , Patrick Lamers , Olivier Bahn , Robert H. Beach , Matthew Binsted , Geoffrey Blanford , Yongxia Cai , Francisco De La Chesnaye , James A. Edmonds , Leonard Göke , Chioke Harris , Christopher Hoehne , Gyungwon J. Kim , Page Kyle , Haewon McJeon , Robbie Orvis , Sharon Showalter , Aditya Sinha , Emma Starke , Frances Wood","doi":"10.1016/j.egycc.2025.100209","DOIUrl":"10.1016/j.egycc.2025.100209","url":null,"abstract":"<div><div>The Energy Modeling Forum 37 study is organized around carbon dioxide (CO<sub>2</sub>) mitigation scenarios reaching net-zero CO<sub>2</sub> emissions by 2050 in the United States. This paper summarizes the potential contribution of bioenergy use in the electric power, transportation, industrial, and buildings sectors toward meeting that target based on model results. Thirteen modeling teams reported bioenergy consumption in the Reference and Net Zero scenarios. Consumption of bioenergy increased over time in the Reference scenario, from an average across models of 3.2 exajoules (EJ) in 2020 to 3.8 EJ in 2050. Average bioenergy consumption in 2050 increased further to 7.3 EJ in the Net Zero scenario. All scenarios that reach net-zero emissions required some form of carbon dioxide removal to offset emissions that are difficult to reduce. Carbon dioxide removal using bioenergy with CO<sub>2</sub> capture and storage (BECCS) varies widely across models, up to 1000 Mt CO<sub>2</sub> in 2050. Some models rely instead on direct air carbon capture and storage (DACCS), up to 2200 Mt CO<sub>2</sub>, and others use a combination of BECCS and DACCS. Model results show a strong inverse relationship between the amounts of BECCS and DACCS deployed. All modeling teams assumed a carbon sink from land use, land use change, and forestry, further offsetting a portion of emissions from fossil fuels and industry that are expensive to eliminate. Bioenergy consumption in 2050 decreased by an average of 1.5 EJ across eight models in a Net Zero+ scenario relative to the Net Zero scenario, due in part to a lower equilibrium carbon price resulting from optimistic cost assumptions for all energy technologies.</div></div>","PeriodicalId":72914,"journal":{"name":"Energy and climate change","volume":"6 ","pages":"Article 100209"},"PeriodicalIF":5.6,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144723071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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