11 Interfakultäre Einrichtungen

Permanent URI for this collectionhttps://elib.uni-stuttgart.de/handle/11682/12

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Author: search.filters.author.Weimer-Jehle, WolfgangSubject: search.filters.subject.333.7

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    SyKonaS - Projektbericht. Nr. 5, Systemische Analyse der Wechselwirkungen zwischen Konfliktlinien und Rahmenbedingungen der Energiewende: Weiterentwicklung soziotechnischer Energieszenarien
    (Stuttgart : Verbundvorhaben SyKonaS, Zentrum für interdisziplinäre Risiko- und Innovationsforschung der Universität Stuttgart (ZIRIUS), 2024) Hauser, Wolfgang; Wassermann, Sandra; Oviedo, Patricia; León, Christian D.; Weimer-Jehle, Wolfgang; Jaschek, Carolin (Mitwirkende); Prehofer, Sigrid (Mitwirkende)
    Im Teilvorhaben SyKonaS/iKonS („Systemische Konfliktanalyse mittels Szenariotechnik“) wurden die technoökonomischen Szenarien um soziale Größen ergänzt und zu soziotechnischen Szenarien weiterentwickelt, um ihre jeweilige Konflikthaftigkeit abzuschätzen. Hierfür wurden zwölf durch die technoökonomischen Energieszenarien vorgegebene Größen (wie z.B. die installierte Leistung von Wind onshore im Jahr 2050) und ihre Wirkungen auf zwölf sozio-politische Größen abgeschätzt. Ebenso wurden die Interdependenzen der soziopolitischen Größen erhoben. Es wurde dann die Frage gestellt, welche Konflikte von den verschiedenen Energieszenarien und ihren gesellschaftlichen Wirkungen ausgelöst werden können.
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    Socio-technical energy scenarios : state-of-the-art and CIB-based approaches
    (2020) Weimer-Jehle, Wolfgang; Vögele, Stefan; Hauser, Wolfgang; Kosow, Hannah; Poganietz, Witold-Roger; Prehofer, Sigrid
    Energy conversion is a major source of greenhouse gas (GHG) emissions, and energy transition scenarios are a key tool for gaining a greater understanding of the possible pathways toward climate protection. There is consensus in energy research that political and societal framework conditions will play a pivotal role in shaping energy transitions. In energy scenario construction, this perspective is increasingly acknowledged through the approach of informing model-based energy analysis with storylines about societal futures, an exercise we call “socio-technical energy scenario construction” in this article. However, there is a dispute about how to construct the storylines in a traceable, consistent, comprehensive, and reproducible way. This study aims to support energy researchers considering the use of the concept of socio-technical scenarios in two ways: first, we provide a state-of-the-art analysis of socio-technical energy scenario construction by comparing 16 studies with respect to five categories. Second, we address the dispute regarding storyline construction in energy research and examine 13 reports using the Cross-Impact Balances method. We collated researcher statements on the strengths and challenges of this method and identified seven categories of promises and challenges each.
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    Integrative scenario assessment as a tool to support decisions in energy transition
    (2021) Kopfmüller, Jürgen; Weimer-Jehle, Wolfgang; Naegler, Tobias; Buchgeister, Jens; Bräutigam, Klaus-Rainer; Stelzer, Volker
    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.
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