제로에너지건축물의 BIPV 에너지 생산량과 기상 데이터의 상관 관계 분석 연구 (Correlation Analysis Study between BIPV Energy Generation of Zero Energy Building and Weather Data)

서지정보

· 발행기관 : 한국태양에너지학회
· 수록지 정보 : 한국태양에너지학회 논문집 / 44권 / 4호 / 97 ~ 111페이지
· 저자명 : 조효문, 이순명

초록

This study investigated whether building integrated photo voltaic (BIPV) can achieve energy independence in zero-energy buildings. We analyzed BIPV energy generation data from a certified zero-energy building to verify this. The first method involved analyzing the correlation between the energy generation data and BIPV installation factors. The energy generation by BIPV based on installation factors, such as location and direction, were analyzed at minute intervals for one year. Additionally, the energy generation performance was compared using the Capacity Utility Factor, which is a measure of the power generation facility utilization rate. The second method was a correlation analysis between the energy generation data and environmental factors. The environmental factors included time and 21 types of numerical meteorological data. Among these factors, solar radiation had the strongest correlation with energy generation. Bases on this finding, verification was performed by comparing solar radiation data with energy generation data. This verification confirmed the presence of a transmission error in the BIPV inverter data.

영어초록

This study investigated whether building integrated photo voltaic (BIPV) can achieve energy independence in zero-energy buildings. We analyzed BIPV energy generation data from a certified zero-energy building to verify this. The first method involved analyzing the correlation between the energy generation data and BIPV installation factors. The energy generation by BIPV based on installation factors, such as location and direction, were analyzed at minute intervals for one year. Additionally, the energy generation performance was compared using the Capacity Utility Factor, which is a measure of the power generation facility utilization rate. The second method was a correlation analysis between the energy generation data and environmental factors. The environmental factors included time and 21 types of numerical meteorological data. Among these factors, solar radiation had the strongest correlation with energy generation. Bases on this finding, verification was performed by comparing solar radiation data with energy generation data. This verification confirmed the presence of a transmission error in the BIPV inverter data.

참고자료

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