인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
As global interest in building energy efficiency grows, South Korea has actively implemented the Building Energy Efficiency Rating Certification (BEEC). In this study, we analyzed all 13,370 BEEC-certified buildings from 2013 to 2025 to identify structural changes and characteristics across sectors, scale, and regions, with the aim of quantifying the determinants of top-rating certification grades. To achieve this aim, we used descriptive statistics, exploratory data analysis, logistic regression for determinant analysis, and a Python-based regression model to compare expected versus actual certification ratings. We found that that BEEC certification accounts for 34.1% and 65.9% of residential and non-residential buildings, respectively. Moreover, the practical spread of the certification system was led by non-residential buildings. Our results relieved improvement in energy efficiency qualitatively improved, with top-ratings (1++ and 1+++) comprising 62.2% of recent certifications (2021–2025). Logistic regression analysis showed that newer and public buildings are significantly more likely to achieve top-ratings grades, whereas residential buildings with larger gross floor areas are less likely to do so. Furthermore, the predictive model analysis confirmed that public offices and properties in Seoul and Gyeonggi-do often received lower-than-expected ratings compared to similar building groups. Overall, this study aimed to provide a comprehensive and quantitative evaluation of the BEEC system based on the data of the entire certified building and to provide practical policy insights in the implementation of the Zero Energy Building (ZEB) certification system.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
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오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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