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<p>Adaptive reuse in urban centers aims to achieve net-zero energy goals by lowering energy consumption and improving thermal comfort in existing buildings. The combined effects of building expansions on energy performance, and daylighting availability remain unexplored. This paper developed a novel simulation model by applying multi-building data and neural-networks framework to examine the impact of adaptive reuse through variables including number of floors, energy generation, façade glazing, and building expansions in various directions. The developed model was validated by comparing simulated and actual energy use of several buildings, yielding an average error of 7.88%. This error represents the deviation between the simulated and actual energy use intensity values. Energy demand reduced by expansion along the East-West axis was 41% greater than that from expansion in the South direction. This was confirmed by sensitivity analysis, with <i>R</i> values of approximately 0.68 for East and West expansions, and 0.16 for the South. Overall, this study demonstrates that expanding buildings in the East-West direction tends to be the most energy-efficient approach for increasing occupied spaces, with its effectiveness potentially influenced by factors such as site location, building orientation, and climatic conditions.</p>

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Adaptive reuse strategies in urban centers: Experimental validation using neural networks and real building data

  • 期刊论文

  • 发表日期：

    2025年8月14日

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  • Razmig Garboushian,
  • Yannik Sigouin,
  • Adham M. Elmalky,
  • Mohamad T. Araji

摘要

Adaptive reuse in urban centers aims to achieve net-zero energy goals by lowering energy consumption and improving thermal comfort in existing buildings. The combined effects of building expansions on energy performance, and daylighting availability remain unexplored. This paper developed a novel simulation model by applying multi-building data and neural-networks framework to examine the impact of adaptive reuse through variables including number of floors, energy generation, façade glazing, and building expansions in various directions. The developed model was validated by comparing simulated and actual energy use of several buildings, yielding an average error of 7.88%. This error represents the deviation between the simulated and actual energy use intensity values. Energy demand reduced by expansion along the East-West axis was 41% greater than that from expansion in the South direction. This was confirmed by sensitivity analysis, with R values of approximately 0.68 for East and West expansions, and 0.16 for the South. Overall, this study demonstrates that expanding buildings in the East-West direction tends to be the most energy-efficient approach for increasing occupied spaces, with its effectiveness potentially influenced by factors such as site location, building orientation, and climatic conditions.