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Article

Integrating Methods and Empirical Findings from Social and Behavioural Sciences into Energy System Models—Motivation and Possible Approaches

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Fraunhofer Institute of Solar Energy Systems, 79110 Freiburg, Germany
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Institute of Energy Economics and Rational Energy Use, University of Stuttgart, 70174 Stuttgart, Germany
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Institute for Future Energy Consumer Needs and Behavior (FCN), RWTH Aachen University, 52074 Aachen, Germany
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IREES—Institute for Resource Efficiency and Energy Strategies, 76131 Karlsruhe, Germany
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Institute of Psychology, Division of Research Methods and Biopsychology, Technical University Braunschweig, 38106 Braunschweig, Germany
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Fraunhofer Institute for Systems and Innovation Research, 76139 Karlsruhe, Germany
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ZIRIUS—Center for Interdisciplinary Risk and Innovation Studies at the University of Stuttgart, 70174 Stuttgart, Germany
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IQIB—Institute for Qualifying Innovation Research and Consulting, 53474 Bad Neuenahr-Ahrweiler, Germany
*
Author to whom correspondence should be addressed.
Energies 2020, 13(18), 4951; https://doi.org/10.3390/en13184951
Received: 7 July 2020 / Revised: 21 August 2020 / Accepted: 26 August 2020 / Published: 21 September 2020
(This article belongs to the Special Issue Model Coupling and Energy Systems)
The transformation of the energy system is a highly complex process involving many dimensions. Energy system models help to understand the process and to define either target systems or policy measures. Insights derived from the social sciences are not sufficiently represented in energy system models, but address crucial aspects of the transformation process. It is, therefore, necessary to develop approaches to integrate results from social science studies into energy system models. Hence, as a result of an interdisciplinary discourse among energy system modellers, social scientists, psychologists, economists and political scientists, this article explains which aspects should be considered in the models, how the respective results can be collected and which aspects of integration into energy system models are conceivable to provide an overview for other modellers. As a result of the discourse, five facets are examined: Investment behaviour (market acceptance), user behaviour, local acceptance, technology innovation and socio-political acceptance. Finally, an approach is presented that introduces a compound of energy system models (with a focus on the macro and micro-perspective) as well as submodels on technology genesis and socio-political acceptance, which serves to gain a more fundamental knowledge of the transformation process. View Full-Text
Keywords: energy system modelling; social science; system optimisation; energy transition; investment behaviour; local acceptance; socio-political acceptance; technology genesis; user behaviour energy system modelling; social science; system optimisation; energy transition; investment behaviour; local acceptance; socio-political acceptance; technology genesis; user behaviour
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MDPI and ACS Style

Senkpiel, C.; Dobbins, A.; Kockel, C.; Steinbach, J.; Fahl, U.; Wille, F.; Globisch, J.; Wassermann, S.; Droste-Franke, B.; Hauser, W.; Hofer, C.; Nolting, L.; Bernath, C. Integrating Methods and Empirical Findings from Social and Behavioural Sciences into Energy System Models—Motivation and Possible Approaches. Energies 2020, 13, 4951. https://doi.org/10.3390/en13184951

AMA Style

Senkpiel C, Dobbins A, Kockel C, Steinbach J, Fahl U, Wille F, Globisch J, Wassermann S, Droste-Franke B, Hauser W, Hofer C, Nolting L, Bernath C. Integrating Methods and Empirical Findings from Social and Behavioural Sciences into Energy System Models—Motivation and Possible Approaches. Energies. 2020; 13(18):4951. https://doi.org/10.3390/en13184951

Chicago/Turabian Style

Senkpiel, Charlotte, Audrey Dobbins, Christina Kockel, Jan Steinbach, Ulrich Fahl, Farina Wille, Joachim Globisch, Sandra Wassermann, Bert Droste-Franke, Wolfgang Hauser, Claudia Hofer, Lars Nolting, and Christiane Bernath. 2020. "Integrating Methods and Empirical Findings from Social and Behavioural Sciences into Energy System Models—Motivation and Possible Approaches" Energies 13, no. 18: 4951. https://doi.org/10.3390/en13184951

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