미세먼지 농도가 직산분리 모델의 신뢰성에 미치는 영향에 관한 연구
A Study on the Effect of Particulate Matter Concentration on the Reliability of Decomposition Model
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초록
Recently, as the amount of particulate matter blowing from China increases, the domestic air environment is rapidly deteriorating. This pollution of the atmosphere greatly affects the light energy reaching the ground. Particularly, since the light enters the solar cell module in various forms, the amount of input energy of the solar power generation system may be changed depending on the ratio of direct beam irradiation and diffused horizontal irradiation. In this paper, we analyze how the ratio of direct beam component and diffused component on global horizontal irradiation varies with the atmospheric conditions. In addition, the reliability of the regression equation, designed to decompose the global horizontal irradiation into horizontal direct beam irradiation and diffused horizontal irradiation, was verified according to the level of air pollution. So, we derive the most suitable decomposition model for use in domestic climatic conditions in Korea by comparing the ratio of direct and diffuse component on the horizontal which is calculated with Perez model and Watanabe model using the meteorological weather data observed for 14 months. Finally, to reduce the error of the transposition result, we verified the reliability of the decomposition which depends on the atmospheric environment.
Abstract
Recently, as the amount of particulate matter blowing from China increases, the domestic air environment is rapidly deteriorating. This pollution of the atmosphere greatly affects the light energy reaching the ground. Particularly, since the light enters the solar cell module in various forms, the amount of input energy of the solar power generation system may be changed depending on the ratio of direct beam irradiation and diffused horizontal irradiation. In this paper, we analyze how the ratio of direct beam component and diffused component on global horizontal irradiation varies with the atmospheric conditions. In addition, the reliability of the regression equation, designed to decompose the global horizontal irradiation into horizontal direct beam irradiation and diffused horizontal irradiation, was verified according to the level of air pollution. So, we derive the most suitable decomposition model for use in domestic climatic conditions in Korea by comparing the ratio of direct and diffuse component on the horizontal which is calculated with Perez model and Watanabe model using the meteorological weather data observed for 14 months. Finally, to reduce the error of the transposition result, we verified the reliability of the decomposition which depends on the atmospheric environment.
참고문헌 (6)
- 정민희, "대기오염도를 포함한 대기요소와 일사량의 상관관계 분석", KIEAE Journal, 19(1), pp.69~74 (2019), 한국생태환경건축학회[DOI]
- 심지수, "표준기상데이터 작성을 위한 국내 기후특성을 고려한 일사량 예측 모델 적합성 평가", 설비공학 논문집, 28(12), pp.467~476 (2016), 대한설비공학회[DOI]
- Son, J. H., "A Research of the Effects of Particulate Matter on Solar Photovoltaic", Conference of Korea Environmental Policy And Administration Society, pp.52~54 (2019)
- 권오현, "기상 환경 모니터링 데이터를 이용한태양광발전시스템 발전량 성능 분석", 한국태양에너지학회 논문집, 38(4), pp.11~31 (2018), 한국태양에너지학회[DOI]
- Lanini, F., "Division of Global Radiation Into Direct Radiation and Diffuse Radiation", Master, pp.2010
- 이상혁, "피라노미터 실측 일조량을 통한 직산 분리 모델과경사면 일조량 변환 모델에 관한 연구", 한국태양에너지학회 논문집, 38(3), pp.1~20 (2018), 한국태양에너지학회[DOI]