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2727. Strategic Categorization of Swiss Energy Policies: A Robust Hybrid MCDA Approach for Socio-Political Assessment
Invited abstract in session TA-44: Robustness analysis in MCDA 2, stream Multiple Criteria Decision Analysis.
Tuesday, 8:30-10:00Room: 20 (building: 324)
Authors (first author is the speaker)
1. | River Huang
|
Laboratory for Energy Systems Analysis (LEA), Paul Scherrer Institute | |
2. | Eleftherios Siskos
|
School of Production Engineering and Management, Technical University of Crete | |
3. | Peter Burgherr
|
Laboratory for Energy Systems Analysis, Paul Scherrer Institut (PSI) |
Abstract
In pursuit of climate neutrality and increased energy security, Switzerland's transition to renewable energy needs to be steered by key energy policies. However, socio-political barriers, such as social acceptance, rather than technical constraints, mostly hinder the successful implementation of these policies. Such socio-political aspects need to be better understood, examined and accounted for during energy policy analysis and consultation. To address this need, we propose a hybrid multi-criteria decision analysis (MCDA) framework that integrates the fuzzy best-worst method (BWM) with PROMETHEE II and incorporates a comprehensive assessment of energy policy risks and benefits by an expert. This approach not only elicits the socio-political dimensions of policy performance, but also employs a strategic sorting technique for targeted action plans. The methodological framework is coupled with a robustness analysis that validates the reliability of the results under different future scenarios, ensuring the resilience of policy recommendations under uncertainty. The findings prove the efficacy of the framework to address uncertainties and include the social element in robust policy assessment and strategic planning.
Keywords
- Decision Analysis
- Energy Policy and Planning
Status: accepted
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