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An agile heating and cooling energy demand model for residential buildings. Case study in a mediterranean city residential sector

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  • Prades-Gil, C.
  • Viana-Fons, J.D.
  • Masip, X.
  • Cazorla-Marín, A.
  • Gómez-Navarro, T.

Abstract

Climate change will affect people's health, especially in cities. Hence, energy planning will play a key role in the development of sustainable and resilient cities. Urban building energy models facilitate energy planning as heating and cooling demand becomes known, and the consequences of different planning actions can be modelled. This research presents an agile heating and cooling demand model. It combines a European standard's methodology, geometric information of buildings collected from cadastral and altimetric datasets using GIS-based technologies, solar irradiation analysis and the degree-days method. The model is validated with various case studies and then applied to several buildings in different environments.

Suggested Citation

  • Prades-Gil, C. & Viana-Fons, J.D. & Masip, X. & Cazorla-Marín, A. & Gómez-Navarro, T., 2023. "An agile heating and cooling energy demand model for residential buildings. Case study in a mediterranean city residential sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    • Handle: RePEc:eee:rensus:v:175:y:2023:i:c:s1364032123000229
    DOI: 10.1016/j.rser.2023.113166
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    References listed on IDEAS

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    Cited by:

    1. Paola Lassandro & Sara Antonella Zaccaro & Silvia Di Turi, 2024. "Mitigation and Adaptation Strategies for Different Urban Fabrics to Face Increasingly Hot Summer Days Due to Climate Change," Sustainability, MDPI, vol. 16(5), pages 1-30, March.
    2. Majid Baseer & Christian Ghiaus & Roxane Viala & Ninon Gauthier & Souleymane Daniel, 2023. "pELECTRE-Tri: Probabilistic ELECTRE-Tri Method—Application for the Energy Renovation of Buildings," Energies, MDPI, vol. 16(14), pages 1-25, July.
    3. Mergim Gaši & Bojan Milovanović & Marino Grozdek & Marina Bagarić, 2023. "Laplace and State-Space Methods for Calculating the Heat Losses in Case of Heavyweight Building Elements and Short Sampling Times," Energies, MDPI, vol. 16(11), pages 1-18, May.
    4. Sebastiano Anselmo & Maria Ferrara, 2023. "Trends and Evolution of the GIS-Based Photovoltaic Potential Calculation," Energies, MDPI, vol. 16(23), pages 1-27, November.

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