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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

Author

Listed:
  • Hinker, Jonas
  • Hemkendreis, Christian
  • Drewing, Emily
  • März, Steven
  • Hidalgo Rodríguez, Diego I.
  • Myrzik, Johanna M.A.

Abstract

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.

Suggested Citation

  • Hinker, Jonas & Hemkendreis, Christian & Drewing, Emily & März, Steven & Hidalgo Rodríguez, Diego I. & Myrzik, Johanna M.A., 2017. "A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain," Energy, Elsevier, vol. 137(C), pages 1219-1230.
    • Handle: RePEc:eee:energy:v:137:y:2017:i:c:p:1219-1230
    DOI: 10.1016/j.energy.2017.06.038
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    2. Kathleen Mallard & Vincent Debusschere & Lauric Garbuio, 2020. "Multi-Criteria Method for Sustainable Design of Energy Conversion Systems," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    3. Krumm, Alexandra & Süsser, Diana & Blechinger, Philipp, 2022. "Modelling social aspects of the energy transition: What is the current representation of social factors in energy models?," Energy, Elsevier, vol. 239(PA).
    4. Jaume Fitó & Julien Ramousse, 2024. "Multi-Stakeholder Decision Support Based on Multicriteria Assessment: Application to Industrial Waste Heat Recovery for a District Heating Network in Grenoble, France," Energies, MDPI, vol. 17(9), pages 1-25, April.
    5. Waseem Akram & Muaz Niazi & Laszlo Barna Iantovics & Athanasios V. Vasilakos, 2019. "Towards Agent-Based Model Specification of Smart Grid: A Cognitive Agent-Based Computing Approach," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(3-B), pages 546-585.
    6. Xifeng Wu & Sijia Zhao & Yue Shen & Hatef Madani & Yu Chen, 2020. "A Combined Multi-Level Perspective and Agent-Based Modeling in Low-Carbon Transition Analysis," Energies, MDPI, vol. 13(19), pages 1-21, September.
    7. Francesco Calise & Mário Costa & Qiuwang Wang & Xiliang Zhang & Neven Duić, 2018. "Recent Advances in the Analysis of Sustainable Energy Systems," Energies, MDPI, vol. 11(10), pages 1-30, September.

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