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Validation of the climatic zoning defined by ASHRAE standard 169-2013

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  • Walsh, Angélica
  • Cóstola, Daniel
  • Labaki, Lucila Chebel

Abstract

Climatic zoning has a direct impact on building energy efficiency policies. Currently, most countries adopt simplified weather parameters to define their climatic zoning, with the degree-day method being the most widely used. This widespread use of degree-days has been substantially influenced by the adoption of this indicator by ASHRAE on its climatic zoning, which is a core element for the prescription of requirements for buildings based on their location. However, there is no scientific evidence regarding the agreement between building energy performance and the ASHRAE climatic zones. The objective here was to quantify the mismatch between buildings’ energy performance in each given location and the expected energy performance in the climatic zone they are placed. The study uses a performance-based assessment method relying on building energy simulation and GIS. Climatic zoning performance indicators were calculated based on the energy demand of 52 archetype buildings of the U.S. building stock complying with the ASHRAE Standard 90.1–2013. Results suggest that the stipulated climatic zone misclassifies 10% of the area evaluated, potentially misclassifying highly populated urban areas. These misclassifications have direct impact on the building energy efficiency policies of a given location, which may not be the most adequate for its climate.

Suggested Citation

  • Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2019. "Validation of the climatic zoning defined by ASHRAE standard 169-2013," Energy Policy, Elsevier, vol. 135(C).
  • Handle: RePEc:eee:enepol:v:135:y:2019:i:c:s0301421519306032
    DOI: 10.1016/j.enpol.2019.111016
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    5. Tianyu Zhang & Xianyan Chen & Fen Zhang & Zhi Yang & Yong Wang & Yonghua Li & Linxiao Wei, 2022. "A Case Study of Refined Building Climate Zoning under Complicated Terrain Conditions in China," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    6. Remizov, Alexey & Memon, Shazim Ali & Kim, Jong R., 2024. "Novel building energy performance-based climate zoning enhanced with spatial constraint," Applied Energy, Elsevier, vol. 355(C).
    7. Omarov, Bekarys & Memon, Shazim Ali & Kim, Jong, 2023. "A novel approach to develop climate classification based on degree days and building energy performance," Energy, Elsevier, vol. 267(C).

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