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A review of spatio-temporal urban energy system modeling for urban decarbonization strategy formulation

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  • Horak, Daniel
  • Hainoun, Ali
  • Neugebauer, Georg
  • Stoeglehner, Gernot

Abstract

This comprehensive review covers currently applied concepts and related spatio-temporal energy modeling tools for integrated demand–supply analyses of urban energy systems at district and city scales. The review introduces an assessment method that aims to determine the suitability of selected concepts and tools to provide decision support regarding the transformation of urban energy systems towards sustainable and low-carbon systems. Acknowledging the requirements on urban energy system modeling, including the building and mobility sectors, and considering the main spatio-temporal characteristics of urban energy systems, a systematic novel screening and evaluation approach is presented and applied. 10 modeling dimensions are identified based on literature review and serve as assessment criteria in the evaluation of 20 urban energy system modeling frameworks falling within the scope of this work. The evaluation results reveal a varying coverage of the identified modeling dimensions, with the aspects mobility and energy system flexibilization showing a notable underrepresentation. Research gaps are concluded and suggestions for further developments in the field of urban energy system modeling frameworks are provided.

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  • Horak, Daniel & Hainoun, Ali & Neugebauer, Georg & Stoeglehner, Gernot, 2022. "A review of spatio-temporal urban energy system modeling for urban decarbonization strategy formulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    • Handle: RePEc:eee:rensus:v:162:y:2022:i:c:s136403212200332x
    DOI: 10.1016/j.rser.2022.112426
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    as
    1. Girardin, Luc & Marechal, François & Dubuis, Matthias & Calame-Darbellay, Nicole & Favrat, Daniel, 2010. "EnerGis: A geographical information based system for the evaluation of integrated energy conversion systems in urban areas," Energy, Elsevier, vol. 35(2), pages 830-840.
    2. Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Energy poverty in the UK: Is there a difference between rural and urban areas?," 89th Annual Conference, April 13-15, 2015, Warwick University, Coventry, UK 204213, Agricultural Economics Society.
    3. van Zalk, John & Behrens, Paul, 2018. "The spatial extent of renewable and non-renewable power generation: A review and meta-analysis of power densities and their application in the U.S," Energy Policy, Elsevier, vol. 123(C), pages 83-91.
    4. Koldo Urrutia-Azcona & Patricia Molina-Costa & Iñigo Muñoz & David Maya-Drysdale & Carolina Garcia-Madruga & Iván Flores-Abascal, 2021. "Towards an Integrated Approach to Urban Decarbonisation in Practice: The Case of Vitoria-Gasteiz," Sustainability, MDPI, vol. 13(16), pages 1-20, August.
    5. Ma, Zheng & Knotzer, Armin & Billanes, Joy Dalmacio & Jørgensen, Bo Nørregaard, 2020. "A literature review of energy flexibility in district heating with a survey of the stakeholders’ participation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 123(C).
    6. Kelly, J. Andrew & Clinch, J. Peter & Kelleher, L. & Shahab, S., 2020. "Enabling a just transition: A composite indicator for assessing home-heating energy-poverty risk and the impact of environmental policy measures," Energy Policy, Elsevier, vol. 146(C).
    7. DeCarolis, Joseph & Daly, Hannah & Dodds, Paul & Keppo, Ilkka & Li, Francis & McDowall, Will & Pye, Steve & Strachan, Neil & Trutnevyte, Evelina & Usher, Will & Winning, Matthew & Yeh, Sonia & Zeyring, 2017. "Formalizing best practice for energy system optimization modelling," Applied Energy, Elsevier, vol. 194(C), pages 184-198.
    8. Lund, Henrik & Østergaard, Poul Alberg & Chang, Miguel & Werner, Sven & Svendsen, Svend & Sorknæs, Peter & Thorsen, Jan Eric & Hvelplund, Frede & Mortensen, Bent Ole Gram & Mathiesen, Brian Vad & Boje, 2018. "The status of 4th generation district heating: Research and results," Energy, Elsevier, vol. 164(C), pages 147-159.
    9. Jalil-Vega, Francisca & García Kerdan, Iván & Hawkes, Adam D., 2020. "Spatially-resolved urban energy systems model to study decarbonisation pathways for energy services in cities," Applied Energy, Elsevier, vol. 262(C).
    10. Roberts, Deborah & Vera-Toscano, Esperanza & Phimister, Euan, 2015. "Fuel poverty in the UK: Is there a difference between rural and urban areas?," Energy Policy, Elsevier, vol. 87(C), pages 216-223.
    11. Shepero, Mahmoud & Munkhammar, Joakim, 2018. "Spatial Markov chain model for electric vehicle charging in cities using geographical information system (GIS) data," Applied Energy, Elsevier, vol. 231(C), pages 1089-1099.
    12. Zhang, Cong & Greenblatt, Jeffery B. & Wei, Max & Eichman, Josh & Saxena, Samveg & Muratori, Matteo & Guerra, Omar J., 2020. "Flexible grid-based electrolysis hydrogen production for fuel cell vehicles reduces costs and greenhouse gas emissions," Applied Energy, Elsevier, vol. 278(C).
    13. Ferrari, Simone & Zagarella, Federica & Caputo, Paola & Bonomolo, Marina, 2019. "Assessment of tools for urban energy planning," Energy, Elsevier, vol. 176(C), pages 544-551.
    14. Peter Lichtenwoehrer & Lore Abart-Heriszt & Florian Kretschmer & Franz Suppan & Gernot Stoeglehner & Georg Neugebauer, 2021. "Evaluating Spatial Interdependencies of Sector Coupling Using Spatiotemporal Modelling," Energies, MDPI, vol. 14(5), pages 1-23, February.
    15. Dincer, Ibrahim, 1999. "Environmental impacts of energy," Energy Policy, Elsevier, vol. 27(14), pages 845-854, December.
    16. Abbasabadi, Narjes & Ashayeri, Mehdi & Azari, Rahman & Stephens, Brent & Heidarinejad, Mohammad, 2019. "An integrated data-driven framework for urban energy use modeling (UEUM)," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    17. Hans-Martin Neumann & Ali Hainoun & Romana Stollnberger & Ghazal Etminan & Volker Schaffler, 2021. "Analysis and Evaluation of the Feasibility of Positive Energy Districts in Selected Urban Typologies in Vienna Using a Bottom-Up District Energy Modelling Approach," Energies, MDPI, vol. 14(15), pages 1-16, July.
    18. Daly, Hannah E. & Ramea, Kalai & Chiodi, Alessandro & Yeh, Sonia & Gargiulo, Maurizio & Gallachóir, Brian Ó, 2014. "Incorporating travel behaviour and travel time into TIMES energy system models," Applied Energy, Elsevier, vol. 135(C), pages 429-439.
    19. Lund, Henrik & Østergaard, Poul Alberg & Nielsen, Tore Bach & Werner, Sven & Thorsen, Jan Eric & Gudmundsson, Oddgeir & Arabkoohsar, Ahmad & Mathiesen, Brian Vad, 2021. "Perspectives on fourth and fifth generation district heating," Energy, Elsevier, vol. 227(C).
    20. Bampoulas, Adamantios & Saffari, Mohammad & Pallonetto, Fabiano & Mangina, Eleni & Finn, Donal P., 2021. "A fundamental unified framework to quantify and characterise energy flexibility of residential buildings with multiple electrical and thermal energy systems," Applied Energy, Elsevier, vol. 282(PA).
    21. 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.
    22. Horak, Daniel & Hainoun, Ali & Neumann, Hans-Martin, 2021. "Techno-economic optimisation of long-term energy supply strategy of Vienna city," Energy Policy, Elsevier, vol. 158(C).
    23. Gernot Stoeglehner, 2020. "Integrated spatial and energy planning: a means to reach sustainable development goals," Evolutionary and Institutional Economics Review, Springer, vol. 17(2), pages 473-486, July.
    24. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    25. United Nations UN, 2015. "Transforming our World: the 2030 Agenda for Sustainable Development," Working Papers id:7559, eSocialSciences.
    26. Novosel, T. & Perković, L. & Ban, M. & Keko, H. & Pukšec, T. & Krajačić, G. & Duić, N., 2015. "Agent based modelling and energy planning – Utilization of MATSim for transport energy demand modelling," Energy, Elsevier, vol. 92(P3), pages 466-475.
    27. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2019. "Development of a GIS-based platform for the allocation and optimisation of distributed storage in urban energy systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    28. Revesz, Akos & Jones, Phil & Dunham, Chris & Davies, Gareth & Marques, Catarina & Matabuena, Rodrigo & Scott, Jim & Maidment, Graeme, 2020. "Developing novel 5th generation district energy networks," Energy, Elsevier, vol. 201(C).
    29. Ranalli, Joseph & Alhamwi, Alaa, 2020. "Configurations of renewable power generation in cities using open source approaches: With Philadelphia case study," Applied Energy, Elsevier, vol. 269(C).
    30. Pelda, Johannes & Holler, Stefan, 2019. "Spatial distribution of the theoretical potential of waste heat from sewage: A statistical approach," Energy, Elsevier, vol. 180(C), pages 751-762.
    31. Lopion, Peter & Markewitz, Peter & Robinius, Martin & Stolten, Detlef, 2018. "A review of current challenges and trends in energy systems modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 156-166.
    32. Ding, Grace & Ying, Xiaoyu, 2019. "Embodied and operating energy assessment of existing buildings – Demolish or rebuild," Energy, Elsevier, vol. 182(C), pages 623-631.
    33. Liang, Yanni & Cai, Hua & Zou, Guilin, 2021. "Configuration and system operation for battery swapping stations in Beijing," Energy, Elsevier, vol. 214(C).
    34. Pye, Steve & Daly, Hannah, 2015. "Modelling sustainable urban travel in a whole systems energy model," Applied Energy, Elsevier, vol. 159(C), pages 97-107.
    35. 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).
    36. Dagoumas, Athanasios S. & Koltsaklis, Nikolaos E., 2019. "Review of models for integrating renewable energy in the generation expansion planning," Applied Energy, Elsevier, vol. 242(C), pages 1573-1587.
    37. Chen, Yixing & Deng, Zhang & Hong, Tianzhen, 2020. "Automatic and rapid calibration of urban building energy models by learning from energy performance database," Applied Energy, Elsevier, vol. 277(C).
    38. Mohajeri, Nahid & Upadhyay, Govinda & Gudmundsson, Agust & Assouline, Dan & Kämpf, Jérôme & Scartezzini, Jean-Louis, 2016. "Effects of urban compactness on solar energy potential," Renewable Energy, Elsevier, vol. 93(C), pages 469-482.
    39. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2017. "GIS-based urban energy systems models and tools: Introducing a model for the optimisation of flexibilisation technologies in urban areas," Applied Energy, Elsevier, vol. 191(C), pages 1-9.
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