• Media type: E-Book
  • Title: Meta-Analysis of Energy Scenario Studies : Example of Electricity Scenarios for Switzerland
  • Contributor: Densing, Martin [Author]; Panos, Evangelos [Other]; Hirschberg, Stefan [Other]
  • imprint: [S.l.]: SSRN, [2015]
  • Extent: 1 Online-Ressource (39 p)
  • Language: English
  • DOI: 10.2139/ssrn.2706579
  • Identifier:
  • Origination:
  • Footnote: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments December 21, 2015 erstellt
  • Description: We present a meta-analysis of long-term energy-system scenario studies. The meta-analysis comprises a qualitative taxonomy of modeling approaches and a quantitative decomposition of scenario results across heterogenous studies. The analysis is exemplified by technology-detailed scenario studies of the Swiss electricity system. In the decomposition approach, we assess the variability across scenario results by a principal component analysis, which provides a low-dimensional approximation of multidimensional data. Additionally, by means of a distance measure, the extremality of a scenario result is evaluated, and a minimal set of representative scenarios is determined with respect to a considered scenario result. The proposed methods contribute to the analysis of commonality of modeling approaches and of multidimensional results across heterogenous scenario studies
  • Access State: Open Access