Article ID Journal Published Year Pages File Type
8073671 Energy 2016 18 Pages PDF
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.
Related Topics
Physical Sciences and Engineering Energy Energy (General)
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