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Model-based scenarios of EU27 electricity supply are not aligned with the perspectives of French, German, and Polish citizens 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
Pub Date : 2022-08-01 DOI: 10.1016/j.rset.2022.100031
Georgios Xexakis, Evelina Trutnevyte

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.

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。
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引用次数: 3
An efficient method to estimate renewable energy capacity credit at increasing regional grid penetration levels 一种估算区域电网渗透率增加时可再生能源容量信贷的有效方法
Pub Date : 2022-08-01 DOI: 10.1016/j.rset.2022.100033
Jethro Ssengonzi, Jeremiah X. Johnson, Joseph F. DeCarolis

The wide scale deployment of variable renewable energy technologies (VREs) offers a pathway to decarbonize the electric grid. One challenge to reliably operating the grid is ensuring that sufficient generating capacity is available to meet demand at all hours. By determining an individual generator's contribution to resource adequacy based on its expected availability when power is needed, the capacity credit for these resources is estimated. The objective of this study is to quantify the contribution of VRE to resource adequacy as a function of VRE penetration, across several regions, technologies, and resources. A computational model was built using the effective load carrying capability (ELCC) method to calculate capacity credit values for regions spanning the contiguous United States. As the deployment of VRE increases, we show its marginal contribution to meeting peak load decreases, which in turn requires additional generating capacity to maintain reliability. In addition, a rapid approximation method is demonstrated to estimate solar and wind capacity credit, relying on the capacity factors during hours of peak net demand. We find that estimates with the lowest error relative to capacity credits calculated using the ELCC method occur using the average renewable resource capacity factors of the top net 10 demand hours, regardless of resource type. Using context-specific values for capacity credit can improve long-term decision making in generation capacity expansion, cultivating more economical long-term resource planning for deep decarbonization.

可变可再生能源技术(VREs)的大规模部署为电网脱碳提供了一条途径。电网可靠运行的一个挑战是确保有足够的发电能力满足所有时间的需求。通过确定单个发电机对资源充足性的贡献,基于其在需要电力时的预期可用性,估计这些资源的容量信用。本研究的目的是量化VRE对资源充足性的贡献,作为VRE渗透的函数,跨越几个地区、技术和资源。采用有效承载能力(ELCC)方法建立计算模型,计算美国相邻地区的容量信用值。随着VRE部署的增加,其对满足峰值负荷的边际贡献减少,这反过来又需要额外的发电能力来保持可靠性。此外,本文还演示了一种快速逼近方法来估计太阳能和风能容量信用,该方法依赖于净需求高峰时段的容量因子。我们发现,与使用ELCC方法计算的容量信用相比,使用最高净10个需求小时的平均可再生资源容量因子,无论资源类型如何,估计误差最小。使用情境化的容量信用值可以改善发电容量扩张的长期决策,为深度脱碳培养更经济的长期资源规划。
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引用次数: 3
An experimentation on the limits and potential of Renewable Energy Communities in the built city: buildings and proximity open spaces for energy decentralization 在已建成的城市中,对可再生能源社区的限制和潜力进行实验:建筑和邻近的开放空间用于能源分散
Pub Date : 2022-07-01 DOI: 10.1016/j.rset.2022.100025
P. Marrone, I. Montella
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引用次数: 5
Modelling electric vehicles’ uptake on the Greek islands 模拟电动汽车在希腊岛屿上的普及
Pub Date : 2022-07-01 DOI: 10.1016/j.rset.2022.100029
Eleni Zafeiratou, C. Spataru
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引用次数: 2
Model-based scenarios of EU27 electricity supply are not aligned with the perspectives of French, German, and Polish citizens 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
Pub Date : 2022-07-01 DOI: 10.1016/j.rset.2022.100031
G. Xexakis, E. Trutnevyte
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引用次数: 4
The reduction of CO2e emissions in the transportation sector: plug-in electric vehicles and biofuels 交通运输部门二氧化碳排放量的减少:插电式电动汽车和生物燃料
Pub Date : 2022-07-01 DOI: 10.1016/j.rset.2022.100032
J. Moreira, S. Pacca, J. Goldemberg
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引用次数: 1
Cleaner the better: Macro-economic assessment of ambitious decarbonisation pathways across Indian states 越清洁越好:对印度各邦雄心勃勃的脱碳路径的宏观经济评估
Pub Date : 2022-06-01 DOI: 10.1016/j.rset.2022.100027
S. Joshi, Kakali Mukhopadhyay
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引用次数: 3
Designing Multi-Phased CO2 Capture and Storage Infrastructure Deployments 设计多阶段二氧化碳捕获和存储基础设施部署
Pub Date : 2022-05-01 DOI: 10.1016/j.rset.2022.100023
E. Jones, Sean Yaw, Jeffrey A. Bennett, Jonathan D. Ogland-Hand, Cooper Strahan, R. Middleton
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引用次数: 1
The Sustainability of Decarbonizing the Grid: A Multi-Model Decision Analysis Applied to Mexico 电网脱碳的可持续性:应用于墨西哥的多模型决策分析
Pub Date : 2022-04-01 DOI: 10.1016/j.rset.2022.100020
Rodrigo Mercado Fernandez, E. Baker
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引用次数: 1
A Comparative Study of AC and DC Public Electric Vehicle Charging Station Usage in Western Australia 西澳大利亚州交直流公共电动汽车充电站使用情况的比较研究
Pub Date : 2022-04-01 DOI: 10.1016/j.rset.2022.100021
Kai Li Lim, Stuart Speidel, T. Bräunl
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引用次数: 8
期刊
Renewable and Sustainable Energy Transition
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