Impact of different levels of geographical disaggregation of wind and PV electricity generation in large energy system models: A case study for Austria

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• 作者：Sofia Simoes^a ; ^{sgcs@fct.unl.pt} ; Marianne Zeyringer^b ; ^c ; ^d ; ^{m.zeyringer@ucl.ac.uk} ; Dieter Mayr^c ; ^{dieter.mayr@boku.ac.at} ; Thomas Huld^e ; ^{thomas.huld@jrc.ec.europa.eu} ; Wouter Nijs^a ; ^{wouter.nijs@ec.europa.eu} ; Johannes Schmidt^c ; ^{Johannes.schmidt@boku.ac.at}
• 关键词：Photovoltaic energy ; Wind energy ; Optimization energy system model ; Spatially-explicit
• 刊名：Renewable Energy
• 出版年：2017
• 出版时间：May 2017
• 年：2017
• 卷：105
• 期：Complete
• 页码：183-198
• 全文大小：1347 K
• 卷排序：105

文摘

We assess how spatial and temporal aggregation affects wind and PV deployment. We use the EU28 JRC-EU-TIMES energy system optimization model from 2005 till 2050. We use the Austria energy system as a case study. Disaggregating locations leads to lower PV and wind electricity generation. We suggest how to analyse the need for disaggregation in energy system models.