표준기상자료를 활용한 태양광발전 시스템의 설치 조건별 발전량 예측 노모그램 개발
Development of Predicted Power Generation Nomogram of Photovoltaic System by Installation Conditions Using Typical Meteorological Year
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
Recently, with the increase in the use of photovoltaic systems, the importance of evaluating datafor the follow-up management of installed systems has also gradually increased. In particular,the power generation prediction data of photovoltaic systems play an important role inevaluating the performance of installed systems. Therefore, in this study, the power-generationperformance index of the photovoltaic system was derived by simulating the power-generationperformance according to the installation angle using a typical meteorological year of the sevenregions. Consequently, a monogram of the annual yield and performance factors was derivedaccording to the installation angle in the seven regions. As a result of examining annual yield inthe range of azimuth angle 180°±30° and inclination angle 30°±15°, the annual average yield forthe seven regions was 1,238 kWh/kWp. The performance factors based on the installationinclination angle exhibited similar characteristics in most regions, except for Jeju. Jeju showed ahigh performance factor under a relatively low inclination-angle, and accordingly, it showeddifferent characteristics from the other regions.
Abstract
Recently, with the increase in the use of photovoltaic systems, the importance of evaluating datafor the follow-up management of installed systems has also gradually increased. In particular,the power generation prediction data of photovoltaic systems play an important role inevaluating the performance of installed systems. Therefore, in this study, the power-generationperformance index of the photovoltaic system was derived by simulating the power-generationperformance according to the installation angle using a typical meteorological year of the sevenregions. Consequently, a monogram of the annual yield and performance factors was derivedaccording to the installation angle in the seven regions. As a result of examining annual yield inthe range of azimuth angle 180°±30° and inclination angle 30°±15°, the annual average yield forthe seven regions was 1,238 kWh/kWp. The performance factors based on the installationinclination angle exhibited similar characteristics in most regions, except for Jeju. Jeju showed ahigh performance factor under a relatively low inclination-angle, and accordingly, it showeddifferent characteristics from the other regions.
참고문헌 (16)
- "Legislative Notice of Amendment to Enforcement Decree of Renewable Energy Act" (2021)[URL]
- "Investigation of New and Renewable Energy Supply Performance" (2023)[URL]
- Christophe Ballif, "Integrated thinking for photovoltaics in buildings", Nature Energy, 3(6), pp.438~442 (2018), Springer Science and Business Media LLC[DOI]
- 이효문, "수평설치조건의 건물부착형 태양광발전시스템에 대한 장기 운영 성능평가", 한국태양에너지학회 논문집, 41(4), pp.147~160 (2021), 한국태양에너지학회[DOI]
- 김덕성, "주거용 건물 태양광발전시스템의 설치유형에 따른 발전성능 평가", 한국태양에너지학회 논문집, 37(2), pp.35~45 (2017), 한국태양에너지학회[DOI]
- 이현승, "태양광발전시스템 국내 지역별 발전특성 분석", 한국태양에너지학회 논문집, 39(2), pp.33~43 (2019), 한국태양에너지학회[DOI]
- 김동수, "건물적용 태양광발전시스템의 국내 지역에 따른 설치각도별 연간 전력생산량 예측에 관한 연구", KIEAE Journal, 14(1), pp.67~74 (2014), 한국생태환경건축학회[DOI]
- Kim, C. -K., "Solar Resource Potentials and Annual Capacity Factor Based on the Korean Solar Irradiance Datasets Derived by the Satellite Imagery from 1996 to 2019", Remote Sens, 13(17), pp.2021~ (2021)[DOI]
- 정민희, "대기오염도를 포함한 대기요소와 일사량의 상관관계 분석", KIEAE Journal, 19(1), pp.69~74 (2019), 한국생태환경건축학회[DOI]
- 강은호, "건물에너지해석용 국내 표준기상자료들의 일사량 비교분석 연구", 한국태양에너지학회 논문집, 42(6), pp.157~171 (2022), 한국태양에너지학회[DOI]
- "National Center for Standard Reference Data, Measurement-based TMY" (2022)[URL]
- Richard Perez, "Modeling daylight availability and irradiance components from direct and global irradiance", Solar Energy, 44(5), pp.271~289 (1990), Elsevier BV[DOI]
- Perez, R., "Dynamic Global-to-Direct Irradiance Conversion Models", ASHRAE Transactions-Research Series, 354~369 (1992)
- William, F. H., "Pvlib Python : A Python Package for Modeling Solar Energy Systems", Journal of Open Source Software, 3(29), pp.2018~ (2018)[DOI]
- "A Simplifed Thermal Model for Flat-Plate Photovoltaic Arrays, SAND85-0330" (1987)[URL]
- ASHRAE, "ASHRAE Guideline, Guideline 14-2014: Measurement of Energy, Demand, and Water Savings", American Society of Heating, Refrigerating, and Air Conditioning Engineers, ~ (2014)
