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  • 标题:Determinants of energy futures—a scenario discovery method applied to cost and carbon emission futures for South American electricity infrastructure
  • 本地全文:下载
  • 作者:Nandi Moksnes ; Julie Rozenberg ; Oliver Broad
  • 期刊名称:Environmental Research Communications
  • 印刷版ISSN:2515-7620
  • 出版年度:2019
  • 卷号:1
  • 期号:2
  • 页码:1-26
  • DOI:10.1088/2515-7620/ab06de
  • 出版社:IOP Publishing
  • 摘要:Energy policy and investment are commonly informed by a small number of scenarios, modelled with proprietary models and closed data-sets. It limits what levels of insight that can be derived from it. This paper overcomes these critical concerns by exploring a large number of scenarios with an open-data and open-source model to address regional mitigation policy. Focusing on South America, we translate an ensemble of long-term electricity supply scenarios into policy insights and use post-processing methods to present a systematic mapping of solution outputs to model inputs. We find demand levels, the cost of capital and the level of CO2-limits to be significant determinants of total investment cost. Low-carbon pathways are associated with low demand and low cost of capital. When cost of capital increases a shift away from wind and hydropower to natural gas and solar PV is seen. We further show that appropriate concessionary finance together with energy efficiency measures are critical—at a continental level—to unlock economic, low-carbon investment.
  • 关键词:energy modelling;scenario discovery;South America;OSeMOSYS
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