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
The integration of a photovoltaic system into buildings requires the consideration of its constructability and functions to get its optimized performance, as its installation is different from the conventional PV installation method that needs supporting structures opened to air. The efficiency of building-integrated PV(BIPV) system is determined by the method that is applied to the building envelope, as well as the efficiency of PV system itself. In addition to the general specifications of a PV system, there are various design factors that may decide the performance of the BIPV systems; orientation and tilt angle of PV modules, ventilation space between PV module and building elements, array configuration and so on. These factors are related to the temperature of building-integrated PV modules that subsequently have an effect on the system´s performance. In order to design optimized BIPV systems, it is required to perform the quantitative analysis about the effect of those design factors on the electricity generation of BIPV systems. This study aims to define the effects of BIPV design factors on the performance of the BIPV system, particularly considering the PV module temperature.
At first, a web-based tool, PV COOL-Build Calculator, was used to calculate the temperature of the BIPV modules. Based on the calculated temperatures of those modules, the electricity generation of a BIPV system with a capacity of lOkWp was modeled. It then performed a sensitivity study of design factors of BIPV systems on their energy performance, and produced the optimized design conditions for the system.
At first, a web-based tool, PV COOL-Build Calculator, was used to calculate the temperature of the BIPV modules. Based on the calculated temperatures of those modules, the electricity generation of a BIPV system with a capacity of lOkWp was modeled. It then performed a sensitivity study of design factors of BIPV systems on their energy performance, and produced the optimized design conditions for the system.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2009-563-018203268
