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Korean Journal of Computational Design and Engineering 2025;30(3):316-325. Published online:
DOI : https://doi.org/10.7315/cde.2025.316
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.
키워드 Green Standard for Energy and Environmental Design(G-SEED), Building Information Modeling (BIM), Design certification evaluation, Natural ventilation performance, Automation evaluation