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Cooling load of buildings and code compliance

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  • Probst, Oliver

Abstract

The recent introduction of a building-energy efficiency code in Mexico limiting the heat gain through a building's envelope has created an opportunity for transforming existing construction schemes and reduce-energy consumption in air-conditioned buildings. In this work, an exhaustive discussion of this code is presented, including a discussion of the possible motivation for the code's requirements from a third-party perspective and a critical analysis of the possible impact of the norm. A comparison with the building-envelope part of the 2001 California Energy Standards is conducted and some conclusions are presented. Fields of opportunities for future amendments are discussed, including the necessity of limiting the cooling/heating load due to infiltration.

Suggested Citation

  • Probst, Oliver, 2004. "Cooling load of buildings and code compliance," Applied Energy, Elsevier, vol. 77(2), pages 171-186, February.
    • Handle: RePEc:eee:appene:v:77:y:2004:i:2:p:171-186
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    References listed on IDEAS

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    1. Omar, E. A. & Al-Ragom, F., 2002. "On the effect of glazing and code compliance," Applied Energy, Elsevier, vol. 71(2), pages 75-86, February.
    2. Li, D.H.W & Lam, J.C & Wong, S.L, 2002. "Daylighting and its implications to overall thermal transfer value (OTTV) determinations," Energy, Elsevier, vol. 27(11), pages 991-1008.
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    1. Moradi, Amir & Kavgic, Miroslava & Costanzo, Vincenzo & Evola, Gianpiero, 2023. "Impact of typical and actual weather years on the energy simulation of buildings with different construction features and under different climates," Energy, Elsevier, vol. 270(C).
    2. Melo, A.P. & Cóstola, D. & Lamberts, R. & Hensen, J.L.M., 2014. "Development of surrogate models using artificial neural network for building shell energy labelling," Energy Policy, Elsevier, vol. 69(C), pages 457-466.
    3. Li, Qiong & Meng, Qinglin & Cai, Jiejin & Yoshino, Hiroshi & Mochida, Akashi, 2009. "Applying support vector machine to predict hourly cooling load in the building," Applied Energy, Elsevier, vol. 86(10), pages 2249-2256, October.

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