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An Agent-Based Decision Support Framework for a Prospective Analysis of Transport and Heat Electrification in Urban Areas

Author

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  • Gonzalo Bustos-Turu

    (Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK
    Department of Electrical Engineering, Universidad de Chile, Santiago 8370451, Chile
    National Centre for Artificial Intelligence (CENIA), Santiago 7820436, Chile)

  • Koen H. van Dam

    (Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK)

  • Salvador Acha

    (Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK)

  • Nilay Shah

    (Department of Chemical Engineering, Imperial College London, London SW7 2AZ, UK)

Abstract

One of the main pathways that cities are taking to reduce greenhouse gas emissions is the decarbonisation of the electricity supply in conjunction with the electrification of transport and heat services. Estimating these future electricity demands, greatly influenced by end-users’ behaviour, is key for planning energy systems. In this context, support tools can help decision-makers assess different scenarios and interventions during the design of new planning guidelines, policies, and operational procedures. This paper presents a novel bottom-up decision support framework using an agent-based modelling and simulation approach to evaluate, in an integrated way, transport and heat electrification scenarios in urban areas. In this work, an open-source tool named SmartCityModel is introduced, where agents represent energy users with diverse sociodemographic and technical attributes. Based on agents’ behavioural rules and daily activities, vehicle trips and building occupancy patterns are generated together with electric vehicle charging and building heating demands. A representative case study set in London, UK, is shown in detail, and a summary of more than ten other case studies is presented to highlight the flexibility of the framework to generate high-resolution spatiotemporal energy demand profiles in urban areas, supporting decision-makers in planning low-carbon and sustainable cities.

Suggested Citation

  • Gonzalo Bustos-Turu & Koen H. van Dam & Salvador Acha & Nilay Shah, 2023. "An Agent-Based Decision Support Framework for a Prospective Analysis of Transport and Heat Electrification in Urban Areas," Energies, MDPI, vol. 16(17), pages 1-26, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:17:p:6312-:d:1229169
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    References listed on IDEAS

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    1. Wang, Jiang-Jiang & Jing, You-Yin & Zhang, Chun-Fa & Zhao, Jun-Hong, 2009. "Review on multi-criteria decision analysis aid in sustainable energy decision-making," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(9), pages 2263-2278, December.
    2. Patteeuw, Dieter & Henze, Gregor P. & Helsen, Lieve, 2016. "Comparison of load shifting incentives for low-energy buildings with heat pumps to attain grid flexibility benefits," Applied Energy, Elsevier, vol. 167(C), pages 80-92.
    3. C M Macal, 2016. "Everything you need to know about agent-based modelling and simulation," Journal of Simulation, Taylor & Francis Journals, vol. 10(2), pages 144-156, May.
    4. Allegrini, Jonas & Orehounig, Kristina & Mavromatidis, Georgios & Ruesch, Florian & Dorer, Viktor & Evins, Ralph, 2015. "A review of modelling approaches and tools for the simulation of district-scale energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1391-1404.
    5. García-Villalobos, J. & Zamora, I. & Knezović, K. & Marinelli, M., 2016. "Multi-objective optimization control of plug-in electric vehicles in low voltage distribution networks," Applied Energy, Elsevier, vol. 180(C), pages 155-168.
    6. Lund, Henrik & Østergaard, Poul Alberg & Connolly, David & Mathiesen, Brian Vad, 2017. "Smart energy and smart energy systems," Energy, Elsevier, vol. 137(C), pages 556-565.
    7. O’Dwyer, Edward & Pan, Indranil & Acha, Salvador & Shah, Nilay, 2019. "Smart energy systems for sustainable smart cities: Current developments, trends and future directions," Applied Energy, Elsevier, vol. 237(C), pages 581-597.
    8. Chaudry, Modassar & Abeysekera, Muditha & Hosseini, Seyed Hamid Reza & Jenkins, Nick & Wu, Jianzhong, 2015. "Uncertainties in decarbonising heat in the UK," Energy Policy, Elsevier, vol. 87(C), pages 623-640.
    9. Chakrabarti, Auyon & Proeglhoef, Rafael & Turu, Gonzalo Bustos & Lambert, Romain & Mariaud, Arthur & Acha, Salvador & Markides, Christos N. & Shah, Nilay, 2019. "Optimisation and analysis of system integration between electric vehicles and UK decentralised energy schemes," Energy, Elsevier, vol. 176(C), pages 805-815.
    10. Strbac, Goran, 2008. "Demand side management: Benefits and challenges," Energy Policy, Elsevier, vol. 36(12), pages 4419-4426, December.
    11. James Rising & Marco Tedesco & Franziska Piontek & David A. Stainforth, 2022. "The missing risks of climate change," Nature, Nature, vol. 610(7933), pages 643-651, October.
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