Table 1 Overview on case studies: objectives, researcher constellation, models, specific information concerning linking
|  | C1: Modeling potentials of technologies and concepts | C2: Integrated scenario building—national energy modeling | C3: Regional modeling |
|---|---|---|---|
General objective(s) | Analyze the future energy demands of private households | Translate the motif of ‘socio-technical’ scenarios into the field of national energy transition scenarios | Analyze the regional idiosyncrasies of the German energy transition at the level of the regional planning |
| Â | Researcher constellation
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| Â |
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Spectrum of disciplines | Economists Engineers Political scientists | Economists Engineers Political scientists Social scientists Communication scientists Physicists Philosophers Psychologists Legal scientists Natural scientists | Economists Engineers CIB method experts Philosophers |
Applied model(s) | A technology-based simulation model focusing on the building sector (JEMS-BTSa) | A technology-based national energy system model using the accounting framework Mesap/PlaNetb | Economic input–output Logit car ownership model Mathematical optimization of electricity and heat supply Life cycle assessment |
Time horizon | 2030 | 2050 | 2030 |
Context scope | International National Sectoral | International National | National Regional |
CIB descriptorsc | 8 Direct linkable 16 Soft linkable 18 Indirect linkable | 10 Direct linkable 7 Soft linkable 22 Indirect linkable | 5 Direct linkable 3 Soft linkable 1 Indirect linkable |
Consistent scenarios applied for linking | 4 Scenarios | 4 Scenarios | 1 Scenario |
Reference on case study | Vögele et al. [28] | Pregger et al. [32] | Weimer-Jehle et al. [66], chapter 6.3 (no peer-reviewed article available) |
