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Table 1 Overview on case studies: objectives, researcher constellation, models, specific information concerning linking

From: Linking qualitative scenarios with quantitative energy models: knowledge integration in different methodological designs

  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
  Researcher constellation
 
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)
  1. aJEMS-BTS: Jülich Energy Modeling Suite—Building Stock and Technology Simulation Model for Space Heating and Hot Water Supply
  2. bMesap (Modular Energy System Analysis and Planning Environment); PlaNet (Planning Network)
  3. cFull lists of descriptors can be found in the supplementary materials. All descriptors are characterized as directly, softly or indirectly linkable descriptors. The directly linkable descriptors were integrated in the analysis as such right from the outset. If the context descriptors are linkable to the model in a soft way (through plausibility arguments) or only indirectly (through the impact network) was decided in the phase of the energy scenario construction. Due to better clarity this differentiation is already presented here in the overview of the case studies
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Energy, Sustainability and Society

ISSN: 2192-0567

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