본문 바로가기
KERD
논문KCI 등재

태양광발전시스템 국내 지역별 발전특성 분석

Analysis of Power Generation Characteristics of a Photovoltaic System in Korea

2

조회

0

다운로드

4

인용

0

참고문헌

키워드

주제분류기타공학

초록

In this study, reflecting long-term climate characteristics, we analyzed electricity generation and generation characteristics of 3kWp PV system, which was semi-integrated with air duct behind. Using PVsyst as a simulation analysis tool, we inputted "National reference standard weather data" of 16 regions as a typical climatic data. The result is summarized as follows: First, the national average annual electricity generation was 1,312 kWh/kWp (StDev, σ = 71). It was most abundant in Mokpo with 1,434 kWh/kWp, which was average 21% greater than the lowest with 1,165 kWh/kWp in Seoul and 1,197 kWh/kWp in Jeju. National average daily generating time based on STC was 3.6 hours (σ=0.43), and that of Mokpo and Seoul was 3.9 and 3.2 hours respectively. Second, Jeju showed the great difference of annual monthly generation by month (annual average = 99.7 kWh/kWp, σ = 25.5), while Jinju showed the smallest difference (annual average = 115.5 kWh/kWp, σ = 10.6). Generation in Jeju was at the largest in April with 132.2 kWh/kWp, which was 2.3 times greater than the lowest 55.2 kWh/kWp in January. However, generation in Jinju was at the largest in March with 129.3 kWh/kWp, which was only 1.3 times greater than the lowest 101.1 kWh/kWp in June. Third, the annual average PR was the highest in Incheon with 85.8% and the lowest in Jeju with 83.2%. PR of Mokpo was 84.3%, which was lower than that of national average.

Abstract

In this study, reflecting long-term climate characteristics, we analyzed electricity generation and generation characteristics of 3kWp PV system, which was semi-integrated with air duct behind. Using PVsyst as a simulation analysis tool, we inputted "National reference standard weather data" of 16 regions as a typical climatic data. The result is summarized as follows: First, the national average annual electricity generation was 1,312 kWh/kWp (StDev, σ = 71). It was most abundant in Mokpo with 1,434 kWh/kWp, which was average 21% greater than the lowest with 1,165 kWh/kWp in Seoul and 1,197 kWh/kWp in Jeju. National average daily generating time based on STC was 3.6 hours (σ=0.43), and that of Mokpo and Seoul was 3.9 and 3.2 hours respectively. Second, Jeju showed the great difference of annual monthly generation by month (annual average = 99.7 kWh/kWp, σ = 25.5), while Jinju showed the smallest difference (annual average = 115.5 kWh/kWp, σ = 10.6). Generation in Jeju was at the largest in April with 132.2 kWh/kWp, which was 2.3 times greater than the lowest 55.2 kWh/kWp in January. However, generation in Jinju was at the largest in March with 129.3 kWh/kWp, which was only 1.3 times greater than the lowest 101.1 kWh/kWp in June. Third, the annual average PR was the highest in Incheon with 85.8% and the lowest in Jeju with 83.2%. PR of Mokpo was 84.3%, which was lower than that of national average.

참고문헌 (27)

  1. Plan for the Implementation of 3020 of Renewable Energy, "Ministry of Trade, Industry and Energy", ~ (2017)
  2. "KOrean Statistical Information Service"[URL]
  3. 김동수, "건물적용 태양광발전시스템의 국내 지역에 따른 설치각도별 연간 전력생산량 예측에 관한 연구", KIEAE Journal, 14(1), pp.67~74 (2014), 한국생태환경건축학회[DOI]
  4. 김진철, "태양광시스템의 지역별 최적 방향 및 각도 연구: SAM을 활용한 시뮬레이션 사례분석", 신재생에너지, 14(2), pp.9~20 (2018), 한국신·재생에너지학회[DOI]
  5. 장효식, "한국 중부 지역의 태양광 모듈 타입에 따른발전량 특성", 한국태양에너지학회 논문집, 38(1), pp.37~44 (2018), 한국태양에너지학회[DOI]
  6. 이개명, "제주지역에 설치된 1MW 태양광발전소의 발전특성 분석", 전기학회논문지, 64(5), pp.726~731 (2015), 대한전기학회[DOI]
  7. 오세경, "주택용 고정식 태양광발전시스템의 최적 전력발전량에 관한 연구", GRI연구논총, 14(2), pp.271~288 (2012), 재단법인 경기연구원[DOI]
  8. 이현진, "태양에너지 시스템에 적합한 표준기상데이터의 제작과 일사량 데이터 분석", 신재생에너지, 13(3), pp.24~33 (2017), 한국신·재생에너지학회
  9. Yoo, H. C., "Creation of standard weather data for major cities in Korea", The Magazine of Korean Solar Energy Society, 8, pp.42~45 (2009)
  10. "ASHRAE 2018"[URL]
  11. "Handbook part 1 : Software", METEOTEST, ~
  12. Noh, J. Y., "Photovoltaic System Performance Analysis in a Apartment", Journal of 2012 Summer Conference of ‘The Society of Air-Conditioning and Refrigerating Engineers of Korea’, pp.650~654 (2012)
  13. 김덕성, "주거용 건물 태양광발전시스템의 설치유형에 따른 발전성능 평가", 한국태양에너지학회 논문집, 37(2), pp.35~45 (2017), 한국태양에너지학회[DOI]
  14. Kim, B. J., "Case Analysis on Electric Load Matching of Photovoltaic House", Journal of 2017 Spring Conference of ‘The Korean Society for New and Renewable Energy’, pp.180~ (2017)
  15. Hong, S. K., "Comparison of Meteorological Data of KMA and Measured Data for Feasibility Analysis of Photovoltaic Systems", The Korean Institute of Illuminating and electrical Installation Engineers, Proceedings of KIIEE Annual Conference, pp.27~ (2017)
  16. 윤종호, "건물용 태양광발전 시스템 성능 및 경제성 평가 프로그램 개발 연구", 한국태양에너지학회 논문집, 28(1), pp.1~8 (2008), 한국태양에너지학회
  17. 황계호, "독립형 태양광 시스템에 적용한 태양광 모듈 시뮬레이션에 관한 연구", 조명.전기설비학회논문지, 23(2), pp.131~137 (2009), 한국조명.전기설비학회
  18. 전정표, "주택용 태양광발전시스템의 적정 용량 및 설치각 선정을 위한 최적화 모델 연구", 전기학회논문지ABCD, 59(6), pp.1046~1052 (2010), 대한전기학회
  19. 노상태, "태양광 발전량 예측 도구별 입력 요소 분석 및 실제 발전량 비교에 관한 연구", KIEAE Journal, 14(6), pp.87~92 (2014), 한국생태환경건축학회[DOI]
  20. 박성현, "방위각 및 경사각을 고려한 지역별 태양광 모듈 배치안 검토", 설비공학 논문집, 24(6), pp.461~466 (2012), 대한설비공학회[DOI]
  21. 김석현, "태양광발전 시스템이 설치된 학교건물의 신재생에너지 공급비율 증가방안에 관한 연구", 한국태양에너지학회 논문집, 33(2), pp.42~49 (2013), 한국태양에너지학회
  22. Jung, S. M., "A Study on the Application of Solar Energy System in Apartment Complex", Journal of 2009 Spring Conference of ‘The Korean Solar Energy Society’, pp.43~48 (2009)
  23. An, Y. S., "Estimation of Energy Self-sufficiency in Municipal Wastewater Treatment Plant Using Simulated Solar Photovoltaic Performance", Journal of 2011Winter Conference of The Korean Solar Energy Society, pp.291~296 (2011)
  24. "PVsyst User’s manual", PVSYST SA, ~ (2014)
  25. 김법전, "건물일체형 태양광발전 시스템 성능평가 프로그램 개발", KIEAE Journal, 15(4), pp.85~90 (2015), 한국생태환경건축학회[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (7건)