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Evaluating Spatial Interdependencies of Sector Coupling Using Spatiotemporal Modelling

Author

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  • Peter Lichtenwoehrer

    (Institute of Spatial Planning, Environmental Planning and Land Rearrangement, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan-Straße 82, 1190 Vienna, Austria)

  • Lore Abart-Heriszt

    (Institute of Spatial Planning, Environmental Planning and Land Rearrangement, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan-Straße 82, 1190 Vienna, Austria)

  • Florian Kretschmer

    (Institute of Sanitary Engineering and Water Pollution Control, University of Natural Resources and Life Sciences, Vienna, Muthgasse 18, 1190 Vienna, Austria)

  • Franz Suppan

    (Institute of Spatial Planning, Environmental Planning and Land Rearrangement, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan-Straße 82, 1190 Vienna, Austria
    Institute of Geomatics, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan-Straße 82, 1190 Vienna, Austria)

  • Gernot Stoeglehner

    (Institute of Spatial Planning, Environmental Planning and Land Rearrangement, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan-Straße 82, 1190 Vienna, Austria)

  • Georg Neugebauer

    (Institute of Spatial Planning, Environmental Planning and Land Rearrangement, University of Natural Resources and Life Sciences, Vienna, Peter-Jordan-Straße 82, 1190 Vienna, Austria)

Abstract

In light of global warming and the energy turn, sector coupling has gained increasing interest in recent years, from both the scientific community and politics. In the following article it is hypothesized that efficient multifaceted sector coupling solutions depend on detailed spatial and temporal characteristics of energy demand and supply. Hence, spatiotemporal modelling is used as a methodology of integrated spatial and energy planning, in order to determine favourable sector coupling strategies at the local level. A case study evaluation was carried out for both central and decentral renewable energy sources. Considering the high temporal resolutions of energy demand and supply, the results revealed a feasible operation of a district heating network in the central areas of the case study municipalities. Additionally, building integrated solar energy technologies are capable of providing large amount of excess energy that could serve other demand sectors, such as the mobility sector, or could be used for Power-to-X solutions. It is suggested that sector coupling strategies require spatial considerations and high temporal comparisons, in order to be reasonably integrated in spatial and urban planning.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:5:p:1256-:d:505889
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    References listed on IDEAS

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    1. Steinmann, Wolf-Dieter & Bauer, Dan & Jockenhöfer, Henning & Johnson, Maike, 2019. "Pumped thermal energy storage (PTES) as smart sector-coupling technology for heat and electricity," Energy, Elsevier, vol. 183(C), pages 185-190.
    2. Lore Abart-Heriszt & Susanna Erker & Gernot Stoeglehner, 2019. "The Energy Mosaic Austria—A Nationwide Energy and Greenhouse Gas Inventory on Municipal Level as Action Field of Integrated Spatial and Energy Planning," Energies, MDPI, vol. 12(16), pages 1-22, August.
    3. Jin, Xiaolong & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Xu, Xiandong & Yu, Xiaodan, 2016. "Optimal day-ahead scheduling of integrated urban energy systems," Applied Energy, Elsevier, vol. 180(C), pages 1-13.
    4. 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.
    5. Franz Huber & Georg Neugebauer & Thomas Ertl & Florian Kretschmer, 2020. "Suitability Pre-Assessment of in-Sewer Heat Recovery Sites Combining Energy and Wastewater Perspectives," Energies, MDPI, vol. 13(24), pages 1-32, December.
    6. Aghaei, Jamshid & Alizadeh, Mohammad-Iman, 2013. "Demand response in smart electricity grids equipped with renewable energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 64-72.
    7. Schmidt, Johannes & Cancella, Rafael & Pereira, Amaro O., 2016. "An optimal mix of solar PV, wind and hydro power for a low-carbon electricity supply in Brazil," Renewable Energy, Elsevier, vol. 85(C), pages 137-147.
    8. Daniel Lohmeier & Dennis Cronbach & Simon Ruben Drauz & Martin Braun & Tanja Manuela Kneiske, 2020. "Pandapipes: An Open-Source Piping Grid Calculation Package for Multi-Energy Grid Simulations," Sustainability, MDPI, vol. 12(23), pages 1-39, November.
    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. Carpaneto, E. & Lazzeroni, P. & Repetto, M., 2015. "Optimal integration of solar energy in a district heating network," Renewable Energy, Elsevier, vol. 75(C), pages 714-721.
    11. Buffa, Simone & Cozzini, Marco & D’Antoni, Matteo & Baratieri, Marco & Fedrizzi, Roberto, 2019. "5th generation district heating and cooling systems: A review of existing cases in Europe," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 504-522.
    12. Michael Schäfer & Oliver Gretzschel & Heidrun Steinmetz, 2020. "The Possible Roles of Wastewater Treatment Plants in Sector Coupling," Energies, MDPI, vol. 13(8), pages 1-20, April.
    13. Waite, Michael & Cohen, Elliot & Torbey, Henri & Piccirilli, Michael & Tian, Yu & Modi, Vijay, 2017. "Global trends in urban electricity demands for cooling and heating," Energy, Elsevier, vol. 127(C), pages 786-802.
    14. Werner, Sven, 2017. "International review of district heating and cooling," Energy, Elsevier, vol. 137(C), pages 617-631.
    15. Fonseca, Jimeno A. & Schlueter, Arno, 2015. "Integrated model for characterization of spatiotemporal building energy consumption patterns in neighborhoods and city districts," Applied Energy, Elsevier, vol. 142(C), pages 247-265.
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    Cited by:

    1. Stoeglehner, G. & Abart-Heriszt, L., 2022. "Integrated spatial and energy planning in Styria – A role model for local and regional energy transition and climate protection policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).
    2. Matthias Maldet & Daniel Schwabeneder & Georg Lettner & Christoph Loschan & Carlo Corinaldesi & Hans Auer, 2022. "Beyond Traditional Energy Sector Coupling: Conserving and Efficient Use of Local Resources," Sustainability, MDPI, vol. 14(12), pages 1-36, June.
    3. 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).

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