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Decision methodology for the development of an expert system applied in an adaptable energy retrofit façade system for residential buildings

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  • Ochoa, Carlos E.
  • Capeluto, I. Guedi

Abstract

A very large percentage of the European residential building stock is ageing and does not comply with current energy regulations. The need to complete short-term energy upgrading on these buildings in order to improve performance and meet current regulations poses a considerable challenge. Consistent energy methodologies are needed for mass application of suitable technologies in sensitive points such as the façade, saving time by guiding designers on use of preferred climatic design strategies for each situation and with economic feasibility.

Suggested Citation

  • Ochoa, Carlos E. & Capeluto, I. Guedi, 2015. "Decision methodology for the development of an expert system applied in an adaptable energy retrofit façade system for residential buildings," Renewable Energy, Elsevier, vol. 78(C), pages 498-508.
    • Handle: RePEc:eee:renene:v:78:y:2015:i:c:p:498-508
    DOI: 10.1016/j.renene.2015.01.036
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    References listed on IDEAS

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    Cited by:

    1. Ma, Dingyuan & Li, Xiaodong & Lin, Borong & Zhu, Yimin, 2023. "An intelligent retrofit decision-making model for building program planning considering tacit knowledge and multiple objectives," Energy, Elsevier, vol. 263(PB).
    2. Chwieduk, Dorota A., 2017. "Towards modern options of energy conservation in buildings," Renewable Energy, Elsevier, vol. 101(C), pages 1194-1202.
    3. Beccali, Marco & Ciulla, Giuseppina & Lo Brano, Valerio & Galatioto, Alessandra & Bonomolo, Marina, 2017. "Artificial neural network decision support tool for assessment of the energy performance and the refurbishment actions for the non-residential building stock in Southern Italy," Energy, Elsevier, vol. 137(C), pages 1201-1218.
    4. Sean Hay Kim & Jungmin Nam, 2020. "Can Both the Economic Value and Energy Performance of Small- and Mid-Sized Buildings Be Satisfied? Development of a Design Expert System in the Context of Korea," Sustainability, MDPI, vol. 12(12), pages 1-29, June.
    5. Cascone, Ylenia & Capozzoli, Alfonso & Perino, Marco, 2018. "Optimisation analysis of PCM-enhanced opaque building envelope components for the energy retrofitting of office buildings in Mediterranean climates," Applied Energy, Elsevier, vol. 211(C), pages 929-953.

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