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Performance-based validation of climatic zoning for building energy efficiency applications

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

Abstract

Climatic zoning for building energy efficiency applications is an important element in building energy policy and regulations. There are several methodologies available to conduct climatic zoning, providing significantly different results. Currently, there are no procedures to assess the validity of a proposed climatic zoning, hindering the decision to use one particular climatic zoning methodology instead of another. This paper introduces a quality index and a procedure to support the validation of climatic zoning. The procedure is based on building performance simulation results concerning the building stock that is targeted in the climatic zoning policy or program. Simulation results are used to calculate a new index, the Mean Percentage of Misclassified Areas (MPMA), which assesses the quality of the zoning under analysis. The capabilities of this procedure were demonstrated by the evaluation of four alternatives for the climatic zoning of Nicaragua, obtained using different methodologies and previously reported in the literature. The building stock used in this case study is composed of a few archetypes based on typical naturally ventilated dwellings in this country. Simulations were conducted using the program EnergyPlus for a total of 328 locations in Nicaragua. Degree-hours of discomfort based on the adaptive model of ASHRAE Standard 55 were used as a performance indicator. Results indicate that zoning obtained using cluster analysis and cooling degree-days may misclassify 1 out of 5 areas in Nicaragua (MPMA around 18–20%). This study concludes that the validation procedure and proposed index are useful for highlighting qualities and deficiencies of existing climatic zoning methods, particularly when these methods are used in less conventional applications, such as for policy making targeting naturally ventilated dwellings in tropical climates. The application of this procedure in more than 50 countries which adopt climatic zoning is foreseen as the next step in his area, substantially affecting the prescription of building materials and components worldwide.

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  • Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2018. "Performance-based validation of climatic zoning for building energy efficiency applications," Applied Energy, Elsevier, vol. 212(C), pages 416-427.
    • Handle: RePEc:eee:appene:v:212:y:2018:i:c:p:416-427
    DOI: 10.1016/j.apenergy.2017.12.044
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    Cited by:

    1. Kheiri, Farshad & Haberl, Jeff S. & Baltazar, Juan-Carlos, 2023. "Impact of outdoor humidity conditions on building energy performance and environmental footprint in the degree days-based climate classification," Energy, Elsevier, vol. 283(C).
    2. Samir Semahi & Mohammed Amin Benbouras & Waqas Ahmed Mahar & Noureddine Zemmouri & Shady Attia, 2020. "Development of Spatial Distribution Maps for Energy Demand and Thermal Comfort Estimation in Algeria," Sustainability, MDPI, vol. 12(15), pages 1-25, July.
    3. Xie, Hailun & Eames, Matt & Mylona, Anastasia & Davies, Hywel & Challenor, Peter, 2024. "Creating granular climate zones for future-proof building design in the UK," Applied Energy, Elsevier, vol. 357(C).
    4. Walsh, Angélica & Cóstola, Daniel & Labaki, Lucila Chebel, 2022. "Performance-based climatic zoning method for building energy efficiency applications using cluster analysis," Energy, Elsevier, vol. 255(C).
    5. 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).
    6. 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.
    7. Bre, Facundo & Lamberts, Roberto & Flores-Larsen, Silvana & Koenders, Eduardus A.B., 2023. "Multi-objective optimization of latent energy storage in buildings by using phase change materials with different melting temperatures," Applied Energy, Elsevier, vol. 336(C).
    8. 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).
    9. 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).

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