Abstract

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.

Highlights

  • The need for a transformation of the energy system due to climate change led to the development of more models that provide insights and solutions for future energy systems concerning climate policy, the security of supply and economic developments [1]

  • Computable General Equilibrium (CGE) models are based on the neoclassical theory of general equilibrium, which consists of three equilibrium conditions, namely the zero-profit condition, the market clearance condition and the budget constraint condition

  • From the macro-perspective Energy system optimisation models (ESOM) and CGE models, the level of technological detail is already being increased in some studies, so that a convergence between market behaviour and technology is taking place

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Summary

Integrating Methods and Empirical Findings from

Charlotte Senkpiel 1, *, Audrey Dobbins 2 , Christina Kockel 3 , Jan Steinbach 4 , Ulrich Fahl 2 , Farina Wille 5 , Joachim Globisch 6 , Sandra Wassermann 7 , Bert Droste-Franke 8 , Wolfgang Hauser 7 , Claudia Hofer 2 , Lars Nolting 3 and Christiane Bernath 6. IREES—Institute for Resource Efficiency and Energy Strategies, 76131 Karlsruhe, Germany;

Introduction
Categorisation of Techno-Economic Energy System Models
Models from a Macro-Perspective
Energy System Optimisation Models
Techno-Economic Energy System Models from a Micro-Perspective
Macro-Perspective
Micro-Perspective
Summary
Agent-Based Models to Study Technology Genesis and Policy Acceptance
Modelling Socio-Political Acceptance
Technology Genesis Model
Consideration of Sociological and Behavioural Psychological Aspects in Energy
Technology Adoption
Objective
Motivation
Empirical Data
Model Integration
Local Acceptance for Technologies
Behavioural Aspects Regarding Technology Use
Technology Genesis
Socio-Political Framework Conditions
Findings
Concept of Model Coupling
Discussion and Conclusions
Full Text
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