Model-based scenarios of EU27 electricity supply are not aligned with the perspectives of French, German, and Polish citizens

Georgios Xexakis, Evelina Trutnevyte
{"title":"Model-based scenarios of EU27 electricity supply are not aligned with the perspectives of French, German, and Polish citizens","authors":"Georgios Xexakis,&nbsp;Evelina Trutnevyte","doi":"10.1016/j.rset.2022.100031","DOIUrl":null,"url":null,"abstract":"<div><p>With the European Green Deal, the European Union (EU27) aims to achieve an ambitious decarbonization of its electricity supply, while actively involving its citizens. Scenarios from energy and electricity sector models seek to inform this transition, although it is unclear to what extent these scenarios are aligned with the views of the citizens. In this study, four multi-organization, multi-model ensembles of existing electricity supply scenarios have been compiled for France, Germany, Poland, and the whole EU27 in 2035, leading to 612 scenarios in total. These scenarios were then compared with 601 preferred scenarios elicited from French, German, and Polish citizens in a survey with an interactive scenario tool. Results show that model-based and citizens’ preferred scenarios converged only on having moderate shares of onshore and offshore wind power and low shares of biomass and waste incineration. In contrast to the majority of model-based scenarios, most Polish and German citizens preferred a deeper decarbonization for their national electricity supply, while French citizens preferred a deeper denuclearization. Additionally, most citizens of all three countries used significant shares of solar photovoltaics and low shares of fossil fuels with carbon capture and storage, hence diverging from model-based scenarios. Similar patterns were found for the EU27 scenarios: many model-based scenarios included large shares of nuclear power, natural gas, and coal, while surveyed citizens preferred scenarios dominated by diverse renewable sources. European modelers should now quantify these missing scenarios so that the EU27 energy transition can be informed by modeling that is in line with citizens’ perspectives.</p></div>","PeriodicalId":101071,"journal":{"name":"Renewable and Sustainable Energy Transition","volume":"2 ","pages":"Article 100031"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667095X22000150/pdfft?md5=7cfc7b635b5cce9c4dcbe25234a1249a&pid=1-s2.0-S2667095X22000150-main.pdf","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renewable and Sustainable Energy Transition","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667095X22000150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

With the European Green Deal, the European Union (EU27) aims to achieve an ambitious decarbonization of its electricity supply, while actively involving its citizens. Scenarios from energy and electricity sector models seek to inform this transition, although it is unclear to what extent these scenarios are aligned with the views of the citizens. In this study, four multi-organization, multi-model ensembles of existing electricity supply scenarios have been compiled for France, Germany, Poland, and the whole EU27 in 2035, leading to 612 scenarios in total. These scenarios were then compared with 601 preferred scenarios elicited from French, German, and Polish citizens in a survey with an interactive scenario tool. Results show that model-based and citizens’ preferred scenarios converged only on having moderate shares of onshore and offshore wind power and low shares of biomass and waste incineration. In contrast to the majority of model-based scenarios, most Polish and German citizens preferred a deeper decarbonization for their national electricity supply, while French citizens preferred a deeper denuclearization. Additionally, most citizens of all three countries used significant shares of solar photovoltaics and low shares of fossil fuels with carbon capture and storage, hence diverging from model-based scenarios. Similar patterns were found for the EU27 scenarios: many model-based scenarios included large shares of nuclear power, natural gas, and coal, while surveyed citizens preferred scenarios dominated by diverse renewable sources. European modelers should now quantify these missing scenarios so that the EU27 energy transition can be informed by modeling that is in line with citizens’ perspectives.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
欧盟27国电力供应的基于模型的情景与法国、德国和波兰公民的观点不一致
通过《欧洲绿色协议》,欧盟(EU27)旨在实现其电力供应的雄心勃勃的脱碳目标,同时积极让公民参与进来。来自能源和电力部门模型的情景试图为这种转变提供信息,尽管尚不清楚这些情景在多大程度上与公民的观点一致。在本研究中,对2035年法国、德国、波兰和整个欧盟27国的现有电力供应情景进行了四个多组织、多模型的集成,共编制了612个情景。然后将这些场景与在交互式场景工具的调查中从法国、德国和波兰公民中得出的601个首选场景进行比较。结果表明,基于模型的情景和公民的首选情景趋同于陆上和海上风电份额适中,生物质和垃圾焚烧份额较低。与大多数基于模型的情景相反,大多数波兰和德国公民倾向于对其国家电力供应进行更深层次的脱碳,而法国公民则倾向于更深层次的无核化。此外,这三个国家的大多数公民都使用了大量的太阳能光伏发电和少量的碳捕获和储存化石燃料,因此与基于模型的情景有所不同。在欧盟27国的情景中也发现了类似的模式:许多基于模型的情景包括大量的核电、天然气和煤炭,而被调查的公民更喜欢以各种可再生能源为主的情景。欧洲建模者现在应该量化这些缺失的情景,以便通过符合公民观点的建模来了解欧盟27国的能源转型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.50
自引率
0.00%
发文量
0
期刊最新文献
Spatial heterogeneity in deployment and upscaling of wind power in Swedish municipalities Corrigendum to “Is there a case for a coal moratorium in Indonesia? Power sector optimization modeling of low-carbon strategies” [Renewable and Sustainable Energy Transition (2024) 100074] Driving sustainable energy transition: Understanding residential rooftop solar photovoltaic adoption in Malaysia through a behavioural analysis Replacing fossil fuel-based power plants with renewables to meet Iran's environmental commitments in the electricity sector Just energy transition in coal regions: Innovative framework for assessing territorial just transition plans
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1