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Meta-analysis of energy scenario studies: Example of electricity scenarios for Switzerland.

Authors :
Densing, M.
Panos, E.
Hirschberg, S.
Source :
Energy. Aug2016, Vol. 109, p998-1015. 18p.
Publication Year :
2016

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03605442
Volume :
109
Database :
Academic Search Index
Journal :
Energy
Publication Type :
Academic Journal
Accession number :
117587583
Full Text :
https://doi.org/10.1016/j.energy.2016.05.020