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Integrated Multidimensional Sustainability Assessment of Energy System Transformation Pathways

Sustainable development embraces a broad spectrum of social, economic and ecological aspects. Thus, a sustainable transformation process of energy systems is inevitably multidimensional and needs to go beyond climate impact and cost considerations. An approach for an integrated and interdisciplinary sustainability assessment of energy system transformation pathways is presented here. It first integrates energy system modeling with a multidimensional impact assessment that focuses on life cycle-based environmental and macroeconomic impacts. Then, stakeholders’ preferences with respect to defined sustainability indicators are inquired, which are finally integrated into a comparative scenario evaluation through a multi-criteria decision analysis (MCDA), all in one consistent assessment framework. As an illustrative example, this holistic approach is applied to the sustainability assessment of ten different transformation strategies for Germany. Applying multi-criteria decision analysis reveals that both ambitious (80%) and highly ambitious (95%) carbon reduction scenarios can achieve top sustainability ranks, depending on the underlying energy transformation pathways and respective scores in other sustainability dimensions. Furthermore, this research highlights an increasingly dominant contribution of energy systems’ upstream chains on total environmental impacts, reveals rather small differences in macroeconomic effects between different scenarios and identifies the transition among societal segments and climate impact minimization as the most important stakeholder preferences.
- University of Stuttgart Germany
- University of Freiburg Germany
- International Renewable Energy Agency United Arab Emirates
- German Aerospace Center Germany
- Karlsruhe Institute of Technology Germany
690, Technology, ddc:600, 577, TJ807-830, multi-criteria decision analysis (MCDA), TD194-195, 333, Renewable energy sources, energy scenario, GE1-350, impact assessment, Environmental effects of industries and plants, discrete choice experiment, 333.7, 600, sustainability, Environmental sciences, energy system modeling, life cycle assessment (LCA), info:eu-repo/classification/ddc/600, focus group, conjoint analysis, macroeconomic modeling
690, Technology, ddc:600, 577, TJ807-830, multi-criteria decision analysis (MCDA), TD194-195, 333, Renewable energy sources, energy scenario, GE1-350, impact assessment, Environmental effects of industries and plants, discrete choice experiment, 333.7, 600, sustainability, Environmental sciences, energy system modeling, life cycle assessment (LCA), info:eu-repo/classification/ddc/600, focus group, conjoint analysis, macroeconomic modeling
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).33 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
