A Study on the Improvement of Natural Ventilation Performance Evaluation of BIM-based Green Architecture Design Certification

Amid the growing interest in sustainable architecture and various methods of discussion, the construction industry is using strategies to induce sustainable architecture through design certification including Green Standard for Energy and Environment Design(G-SEED). In addition, the construction industry recommends using BIM technology for the purpose of digitalization. Currently, the green building certification system has efficiency issues because it evaluates using document data. Therefore, this study was conducted to improve the existing work process by automating the certification evaluation method using BIM data with building information. In particular, we studied how to automatically evaluate the natural ventilation performance of buildings. For this, an automation program has been developed that can analyze the required information, study how to extract it from BIM data, compare it with the standard, and review it. For future research, analyzed the results of the automation evaluation and identified deficieincies. Through this program, errors in the results can be reduced and faster than the existing evaluation method.

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Publication Details

Journal
Korean Journal of Computational Design and Engineering
Published
2025-09-09
DOI
https://doi.org/10.7315/cde.2025.316
Primary Topic
Energy and Environmental Systems
Type
article
Field-Weighted Citation Impact
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article

A Study on the Improvement of Natural Ventilation Performance Evaluation of BIM-based Green Architecture Design Certification

Jungsik Choi, Eunsang Yu, Heybin Hwang
Korean Journal of Computational Design and Engineering
Energy and Environmental Systems
article

A Study on the Improvement of Natural Ventilation Performance Evaluation of BIM-based Green Architecture Design Certification

Jungsik Choi, Eunsang Yu, Heybin Hwang
article en

Abstract

Amid the growing interest in sustainable architecture and various methods of discussion, the construction industry is using strategies to induce sustainable architecture through design certification including Green Standard for Energy and Environment Design(G-SEED). In addition, the construction industry recommends using BIM technology for the purpose of digitalization. Currently, the green building certification system has efficiency issues because it evaluates using document data. Therefore, this study was conducted to improve the existing work process by automating the certification evaluation method using BIM data with building information. In particular, we studied how to automatically evaluate the natural ventilation performance of buildings. For this, an automation program has been developed that can analyze the required information, study how to extract it from BIM data, compare it with the standard, and review it. For future research, analyzed the results of the automation evaluation and identified deficieincies. Through this program, errors in the results can be reduced and faster than the existing evaluation method.

Korean Journal of Computational Design and EngineeringVol. 30(3)
Openalex Percentile: Top 75%
Energy and Environmental Systems
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