콘텐츠 본문
논문 국내 국내전문학술지(KCI급) 한국 기후대별 사무용 및 공동주택의 냉·난방 부하 저감을 위한 복층창 및 삼중창 조합 최적화
- 학술지 구분 국내전문학술지(KCI급)
- 게재년월 2026-07
- 저자명 이준영, 김동수, 이루다, 윤종호, 임한솔
- 학술지명 대한건축학회 논문집
- 발행처명 대한건축학회
- 발행국가 국내
- 논문언어 한국어
- 전체저자수 5
- 연구분야 공학 > 건축공학
- 키워드 #Cooling and heating load #Glazing #Genetic Algorithm #Optimization
논문 초록 (Abstract)
This study developed an optimization framework to identify optimal double- and triple-glazing combinations that minimize annual heating and cooling loads in office and residential buildings across four Korean climate zones. Commercial glazing data from the LBNL International Glazing Database (IGDB) were filtered and reduced to 17 representative glazing groups using K-means clustering. A genetic algorithm coupled with Python and EnergyPlus (v22.2) was then applied to the DOE Medium Office model and a validated Korean apartment model to optimize glazing configurations. For office buildings, low-SHGC double glazing with an air gap was consistently identified as the optimal solution across all climate zones. Because cooling accounted for 89–99% of the total load, triple glazing increased total load by up to 3.32%. In residential buildings, where heating accounted for 56–75% of the total load, triple glazing with Krypton gas layers reduced total load by 0.25–0.96%. The optimal SHGC also varied by region: lower SHGC was favorable in Jeju, whereas relatively higher SHGC was advantageous in Busan, Daejeon, and Chuncheon. These results indicate that window design criteria based solely on U-value are insufficient and should also reflect building type, climate zone, and SHGC.
