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  • 标题:Evaluating long-term model-based scenarios of the energy system
  • 本地全文:下载
  • 作者:Matthew Binsted ; Gokul Iyer ; Ryna Cui
  • 期刊名称:Energy Strategy Reviews
  • 印刷版ISSN:2211-467X
  • 出版年度:2020
  • 卷号:32
  • 页码:1-12
  • DOI:10.1016/j.esr.2020.100551
  • 出版社:Elsevier
  • 摘要:Energy-economic models are used to provide science-based decision support in many contexts; evaluating scenarios generated by these models is critical for establishing the credibility of the analyses these tools support. We propose a framework for evaluating energy system scenarios consisting of three parts – a qualitative storyline, quantitative metrics, and evaluation criteria. We apply this framework to the reference scenario for GCAM-USA, a version of the Global Change Analysis Model with state-level detail in the United States, focusing on the evolution of the electric power sector. We develop new visual analytic tools to facilitate evaluation of model outcomes in 51 sub-national regions, and demonstrate how scenario performance can be tracked and compared across four quantifications of the GCAM-USA reference scenario.
  • 关键词:Energy modeling ; Energy scenarios ; Scenario analysis ; Evaluation framework ; Data visualization ; Electricity system ; Data availability ; GCAM Global Change Analysis Model ; GCAM-USA the Global Change Analysis Model with subnational detail in the United States ; EPA United States Environmental Protection Agency
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