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A monitoring campaign introducing the indoor driving temperature to assess the building envelope performance

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  • Ferrari, Simone
  • Zoghi, Milad
  • Cardelli, Riccardo
  • Dall'O', Giuliano

Abstract

In the last decade, residential buildings have significantly contributed to global energy demand, leading European countries to implement incentive policies promoting energy retrofitting, such as Italy's Superbonous 110 % scheme. Consequently, numerous studies have strived to elucidate the diverse impacts of building retrofitting by analysing various thermal parameters.

Suggested Citation

  • Ferrari, Simone & Zoghi, Milad & Cardelli, Riccardo & Dall'O', Giuliano, 2025. "A monitoring campaign introducing the indoor driving temperature to assess the building envelope performance," Applied Energy, Elsevier, vol. 377(PC).
    • Handle: RePEc:eee:appene:v:377:y:2025:i:pc:s0306261924020336
    DOI: 10.1016/j.apenergy.2024.124650
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    References listed on IDEAS

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    1. Kelly, Scott & Shipworth, Michelle & Shipworth, David & Gentry, Michael & Wright, Andrew & Pollitt, Michael & Crawford-Brown, Doug & Lomas, Kevin, 2013. "Predicting the diversity of internal temperatures from the English residential sector using panel methods," Applied Energy, Elsevier, vol. 102(C), pages 601-621.
    2. Hache, Emmanuel & Leboullenger, Déborah & Mignon, Valérie, 2017. "Beyond average energy consumption in the French residential housing market: A household classification approach," Energy Policy, Elsevier, vol. 107(C), pages 82-95.
    3. Ferrari, Simone & Blázquez, Teresa & Dall'O', Giuliano, 2021. "Energy performance indexes based on monitored data of social housing buildings in Northern Italy," Applied Energy, Elsevier, vol. 298(C).
    4. Schiavoni, S. & D׳Alessandro, F. & Bianchi, F. & Asdrubali, F., 2016. "Insulation materials for the building sector: A review and comparative analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 988-1011.
    5. Rouleau, Jean & Gosselin, Louis, 2021. "Impacts of the COVID-19 lockdown on energy consumption in a Canadian social housing building," Applied Energy, Elsevier, vol. 287(C).
    6. Hutchinson, Emma J. & Wilkinson, Paul & Hong, Sung H. & Oreszczyn, Tadj, 2006. "Can we improve the identification of cold homes for targeted home energy-efficiency improvements?," Applied Energy, Elsevier, vol. 83(11), pages 1198-1209, November.
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    1. Mohseni-Gharyehsafa, Behnam & Hussain, Shahid & Fahy, Amy & De Rosa, Mattia & Pallonetto, Fabiano, 2025. "A hybrid Gaussian process-integrated deep learning model for retrofitted building energy optimization in smart city ecosystems," Applied Energy, Elsevier, vol. 388(C).

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