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Integrative Scenario Assessment as a Tool to Support Decisions in Energy Transition
by
Buchgeister, Jens
, Stelzer, Volker
, Weimer-Jehle, Wolfgang
, Bräutigam, Klaus-Rainer
, Kopfmüller, Jürgen
, Naegler, Tobias
in
cross-impact balance
/ decision support
/ Energy
/ energy system model
/ integrative assessment
/ Quantitative analysis
/ socio-technical scenarios
/ sustainability assessment
/ Sustainable development
2021
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Integrative Scenario Assessment as a Tool to Support Decisions in Energy Transition
by
Buchgeister, Jens
, Stelzer, Volker
, Weimer-Jehle, Wolfgang
, Bräutigam, Klaus-Rainer
, Kopfmüller, Jürgen
, Naegler, Tobias
in
cross-impact balance
/ decision support
/ Energy
/ energy system model
/ integrative assessment
/ Quantitative analysis
/ socio-technical scenarios
/ sustainability assessment
/ Sustainable development
2021
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Do you wish to request the book?
Integrative Scenario Assessment as a Tool to Support Decisions in Energy Transition
by
Buchgeister, Jens
, Stelzer, Volker
, Weimer-Jehle, Wolfgang
, Bräutigam, Klaus-Rainer
, Kopfmüller, Jürgen
, Naegler, Tobias
in
cross-impact balance
/ decision support
/ Energy
/ energy system model
/ integrative assessment
/ Quantitative analysis
/ socio-technical scenarios
/ sustainability assessment
/ Sustainable development
2021
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Integrative Scenario Assessment as a Tool to Support Decisions in Energy Transition
Journal Article
Integrative Scenario Assessment as a Tool to Support Decisions in Energy Transition
2021
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Overview
Energy scenarios represent a prominent tool to support energy system transitions towards sustainability. In order to better fulfil this role, two elements are widely missing in previous work on designing, analyzing, and using scenarios: First, a more systematic integration of social and socio-technical characteristics of energy systems in scenario design, and, second, a method to apply an accordingly enhanced set of indicators in scenario assessment. In this article, an integrative scenario assessment methodology is introduced that combines these two requirements. It consists of: (i) A model-based scenario analysis using techno-economic and ecological indicators; (ii) a non-model-based analysis using socio-technical indicators; (iii) an assessment of scenario performances with respect to pre-determined indicator targets; (iv) a normalization method to make the two types of results (model-based and non-model-based) comparable; (v) an approach to classify results to facilitate structured interpretation. The combination of these elements represents the added-value of this methodology. It is illustrated for selected indicators, and exemplary results are presented. Methodological challenges and remaining questions, e.g., regarding the analysis of non-model-based indicators, resource requirements, or the robustness of the methodology are pointed out and discussed. We consider this integrative methodology being a substantial improvement of previous scenario assessment methodologies.
Publisher
MDPI AG
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