Capturing the long-term interdependencies between building thermal energy supply and demand in urban planning strategies
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DOI: 10.1016/j.apenergy.2020.114774
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- Yang, Xining & Hu, Mingming & Heeren, Niko & Zhang, Chunbo & Verhagen, Teun & Tukker, Arnold & Steubing, Bernhard, 2020. "A combined GIS-archetype approach to model residential space heating energy: A case study for the Netherlands including validation," Applied Energy, Elsevier, vol. 280(C).
- Herreras Martínez, Sara & Harmsen, Robert & Menkveld, Marijke & Faaij, André & Kramer, Gert Jan, 2022. "Municipalities as key actors in the heat transition to decarbonise buildings: Experiences from local planning and implementation in a learning context," Energy Policy, Elsevier, vol. 169(C).
- Mrówczyńska, M. & Skiba, M. & Sztubecka, M. & Bazan-Krzywoszańska, A. & Kazak, J.K. & Gajownik, P., 2021. "Scenarios as a tool supporting decisions in urban energy policy: The analysis using fuzzy logic, multi-criteria analysis and GIS tools," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
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Keywords
TIMES model; urban energy planning; building stock; demand-supply integration; scenarios analysis; heating strategies;All these keywords.
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