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Comparison of Building Simulation Methods for Modeling Apartment Balconies

Author

Listed:
  • Yonghan Ahn

    (Department of Architectural Engineering, Hanyang University, Gyeonggi-do, Ansan 15588, Korea)

  • Hanbyeol Jang

    (Department of Smart City Engineering, Hanyang University, Gyeonggi-do, Ansan 15588, Korea)

  • Junghyon Mun

    (Sun & Light R&D Center, Seoul 06448, Korea)

Abstract

The purpose of this study is to compare the load calculation results by a model using the air changes per hour (ACH) method and a model using an airflow network (AFN) and to ascertain what causes the difference between the two models. In the basic case study, the difference in the heat transfer distribution of the model in the interior space was investigated. The most significant difference between the two models is the heat transfer that results from infiltration. Parameter analysis was performed to investigate the relationship between the difference and the environmental variables. The result shows that the greater the difference is between the air temperature inside the balcony and the outdoor air temperature, and the greater the air flows from the balcony to the residential area, and the greater the heating and cooling load difference occurs. The analysis using the actual weather files of five domestic cities in South Korea rather than a virtual case shows that the differences are not so obvious when the wind blows at a constant speed throughout the year, but are dominant when the wind does not blow during the night and is stronger alongside the occurrence of sunlight during the day.

Suggested Citation

  • Yonghan Ahn & Hanbyeol Jang & Junghyon Mun, 2021. "Comparison of Building Simulation Methods for Modeling Apartment Balconies," Energies, MDPI, vol. 14(13), pages 1-18, July.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3955-:d:586857
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    References listed on IDEAS

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    1. Junghyon Mun & Jongik Lee & Minsung Kim, 2021. "Estimation of Infiltration Rate (ACH Natural) Using Blower Door Test and Simulation," Energies, MDPI, vol. 14(4), pages 1-13, February.
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