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A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain

  • Optimization and simulation models are fit to work on a multitude of technical, economic, and techno-economic questions. However, they are by now not able to satisfactorily include societal aspects like acceptance, spatial implications and legal frameworks. In order to advance scope and explanatory power of simulation models, collaboration in interdisciplinary research teams is needed. Yet the exchange in such teams and its coordination can prove challenging. Furthermore, disciplinary approaches and methods for simulation and optimization might not be familiar to all participants. To this end, a new conceptual model is introduced. The conceptual model employs few basic elements and concepts for describing and explaining arbitrary societalOptimization and simulation models are fit to work on a multitude of technical, economic, and techno-economic questions. However, they are by now not able to satisfactorily include societal aspects like acceptance, spatial implications and legal frameworks. In order to advance scope and explanatory power of simulation models, collaboration in interdisciplinary research teams is needed. Yet the exchange in such teams and its coordination can prove challenging. Furthermore, disciplinary approaches and methods for simulation and optimization might not be familiar to all participants. To this end, a new conceptual model is introduced. The conceptual model employs few basic elements and concepts for describing and explaining arbitrary societal and technical relationships. Most notably, the conceptual model is general in its design, so contributions to the problem formulation and design components can be made by all team members regardless of their discipline. The procedure is based on common agent-based concepts without using their terminology. Consequently, an exchange among all team members becomes possible without them necessarily being proficient in agent-based modeling. A reduced presentation of workshop results exemplifies the use of novel elements for deriving an emergent agent-based simulation.show moreshow less

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Metadaten
Document Type:Peer-Reviewed Article
Author:Jonas Hinker, Christian Hemkendreis, Emily Drewing, Steven März, Diego I. Hidalgo Rodriguez, Johanna M.A. Myrzik
Year of Publication:2017
Language:English
Source Title (English):Energy
DOI:https://doi.org/10.1016/j.energy.2017.06.038
Volume:137
First Page:1219
Last Page:1230
Division:Energie-, Verkehrs- und Klimapolitik
Dewey Decimal Classification:300 Sozialwissenschaften