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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2025.4
- 수록면
- 33 - 45 (13page)
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초록· 키워드
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This study investigated and compared sunshine duration and capacity factors of photovoltaic power generation across four regions of Jeju Island. The regional classification system used in this study was based on climate divisions defined by the Korea Meteorological Administration, which differ from administrative divisions. The four regions—northern, western, eastern, and southern—exclude the mountainous region, which has few photovoltaic power plants. This classification system was chosen to utilize long-term accumulated weather data (e.g., sunshine duration) managed by the Korea Meteorological Administration. Five years of generation data from at least three photovoltaic power plants in each of the four regions were obtained from the Korea Power Exchange and used for the analysis. Strong positive correlations were found between sunshine duration and the capacity factor of photovoltaic power generation in all four regions. When comparing the capacity factors of the four regions, the northern region showed rates approximately 10% lower than those of the other regions. The difference in capacity factors—approximately 45%—between the northern and southern regions was particularly significant in winter. This phenomenon might have been triggered by the Foehn effect in Halla Mountain at the center of Jeju Island, which is 1,950 m high. This study provides seasonal and annual capacity factor reference data for four regions of Jeju Island. The data should be useful for new photovoltaic power plant investors and operators. Furthermore, the analysis conducted in this study demonstrated that utilizing accumulated sunshine duration data is an effective method for improving the reliability of short-term photovoltaic power generation data.
목차
Abstract
1. 서론
2. 태양광발전 데이터와 기상 데이터의 취득
3. 일조시간과 태양광발전소 이용률의 상관관계 분석
4. 지역 일조시간 분석
5. 태양광발전소 이용률 분석
6. 전체적인 고찰
7. 결론
REFERENCES
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