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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

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  • 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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    as
    1. Khalilpour, Rajab & Vassallo, Anthony, 2015. "Leaving the grid: An ambition or a real choice?," Energy Policy, Elsevier, vol. 82(C), pages 207-221.
    2. Lund, H. & Möller, B. & Mathiesen, B.V. & Dyrelund, A., 2010. "The role of district heating in future renewable energy systems," Energy, Elsevier, vol. 35(3), pages 1381-1390.
    3. Wu, F.F & Zheng, F.L. & Wen, F.S., 2006. "Transmission investment and expansion planning in a restructured electricity market," Energy, Elsevier, vol. 31(6), pages 954-966.
    4. Voll, Philip & Jennings, Mark & Hennen, Maike & Shah, Nilay & Bardow, André, 2015. "The optimum is not enough: A near-optimal solution paradigm for energy systems synthesis," Energy, Elsevier, vol. 82(C), pages 446-456.
    5. Richard G. Newell & Adam B. Jaffe & Robert N. Stavins, 1999. "The Induced Innovation Hypothesis and Energy-Saving Technological Change," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 941-975.
    6. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    7. Carlo Cambini & Laura Rondi, 2010. "Incentive regulation and investment: evidence from European energy utilities," Journal of Regulatory Economics, Springer, vol. 38(1), pages 1-26, August.
    8. Richter, Mario, 2012. "Utilities’ business models for renewable energy: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2483-2493.
    9. Dashti, Reza & Yousefi, Shaghayegh & Parsa Moghaddam, Mohsen, 2013. "Comprehensive efficiency evaluation model for electrical distribution system considering social and urban factors," Energy, Elsevier, vol. 60(C), pages 53-61.
    10. Hope, Alexander John & Booth, Alexander, 2014. "Attitudes and behaviours of private sector landlords towards the energy efficiency of tenanted homes," Energy Policy, Elsevier, vol. 75(C), pages 369-378.
    11. Friege, Jonas & Chappin, Emile, 2014. "Modelling decisions on energy-efficient renovations: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 196-208.
    12. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9-10), pages 1082-1095, October.
    13. Amineh Ghorbani & Pieter Bots & Virginia Dignum & Gerard Dijkema, 2013. "MAIA: a Framework for Developing Agent-Based Social Simulations," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(2), pages 1-9.
    14. Lund, Henrik & Werner, Sven & Wiltshire, Robin & Svendsen, Svend & Thorsen, Jan Eric & Hvelplund, Frede & Mathiesen, Brian Vad, 2014. "4th Generation District Heating (4GDH)," Energy, Elsevier, vol. 68(C), pages 1-11.
    15. Jano-Ito, Marco A. & Crawford-Brown, Douglas, 2017. "Investment decisions considering economic, environmental and social factors: An actors' perspective for the electricity sector of Mexico," Energy, Elsevier, vol. 121(C), pages 92-106.
    16. Yang, Liu & Yan, Haiyan & Lam, Joseph C., 2014. "Thermal comfort and building energy consumption implications – A review," Applied Energy, Elsevier, vol. 115(C), pages 164-173.
    17. Allcott, Hunt, 2011. "Social norms and energy conservation," Journal of Public Economics, Elsevier, vol. 95(9), pages 1082-1095.
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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. 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.
    5. 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.
    6. 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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