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Simulating a residential building stock to support regional efficiency policy

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  • Glasgo, Brock
  • Khan, Nyla
  • Azevedo, Inês Lima

Abstract

Building simulation tools are seeing growing use in the residential sector due to a combination of increased interest in building energy performance, more user-friendly software packages, and decreasing computing power requirements. These tools are now being applied in batch simulations, where large numbers of homes are simulated at once to understand existing building stock energy consumption and potential energy efficiency improvements to make to those stocks. As these types of applications grow, attention is needed to ensure that simulation inputs and outputs are handled with an appropriate understanding of the uncertainties involved.

Suggested Citation

  • Glasgo, Brock & Khan, Nyla & Azevedo, Inês Lima, 2020. "Simulating a residential building stock to support regional efficiency policy," Applied Energy, Elsevier, vol. 261(C).
    • Handle: RePEc:eee:appene:v:261:y:2020:i:c:s0306261919319105
    DOI: 10.1016/j.apenergy.2019.114223
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    References listed on IDEAS

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    Cited by:

    1. Shamsi, Mohammad Haris & Ali, Usman & Mangina, Eleni & O’Donnell, James, 2021. "Feature assessment frameworks to evaluate reduced-order grey-box building energy models," Applied Energy, Elsevier, vol. 298(C).

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