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Review of infiltration and airflow models in building energy simulations for providing guidelines to building energy modelers

Author

Listed:
  • Choi, Kwangwon
  • Park, Semi
  • Joe, Jaewan
  • Kim, Seon-In
  • Jo, Jae-Hun
  • Kim, Eui-Jong
  • Cho, Young-Hum

Abstract

The impact of the infiltration and airflow pattern of the building envelope and structure on thermal load is significant. Building energy simulation tools take this feature into account when calculating the heating and cooling load and evaluating the indoor hygrothermal environment. However, in many cases, the infiltration and airflow modeling is performed without appropriate assumption and understanding in research and the industrial field of building energy simulations. This is due to not only the lack of understanding or ignorance of their significance but also the complex nature of the infiltration and airflow pattern in buildings.

Suggested Citation

  • Choi, Kwangwon & Park, Semi & Joe, Jaewan & Kim, Seon-In & Jo, Jae-Hun & Kim, Eui-Jong & Cho, Young-Hum, 2023. "Review of infiltration and airflow models in building energy simulations for providing guidelines to building energy modelers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 181(C).
  • Handle: RePEc:eee:rensus:v:181:y:2023:i:c:s1364032123001831
    DOI: 10.1016/j.rser.2023.113327
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    Cited by:

    1. Andrea Costantino, 2023. "Development, Validation, and Application of Building Energy Simulation Models for Livestock Houses: A Systematic Review," Agriculture, MDPI, vol. 13(12), pages 1-28, December.
    2. Gao, Yuan & Hu, Zehuan & Chen, Wei-An & Liu, Mingzhe, 2024. "Solutions to the insufficiency of label data in renewable energy forecasting: A comparative and integrative analysis of domain adaptation and fine-tuning," Energy, Elsevier, vol. 302(C).
    3. Gao, Yuan & Hu, Zehuan & Shi, Shanrui & Chen, Wei-An & Liu, Mingzhe, 2024. "Adversarial discriminative domain adaptation for solar radiation prediction: A cross-regional study for zero-label transfer learning in Japan," Applied Energy, Elsevier, vol. 359(C).

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