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A Study on the Effect of Particulate Matter Concentration on the Reliability of Decomposition Model

미세먼지 농도가 직산분리 모델의 신뢰성에 미치는 영향에 관한 연구

  • Lee, Sang-Hyuk (Department of Energy & Electrical Engineering, Korea Polytechnic University) ;
  • Lee, Kyung-Soo (Department of Energy & Electrical Engineering, Korea Polytechnic University)
  • 이상혁 (한국산업기술대학교 에너지.전기공학과) ;
  • 이경수 (한국산업기술대학교 에너지.전기공학과)
  • Received : 2019.05.30
  • Accepted : 2019.08.13
  • Published : 2019.08.30

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.

Keywords

References

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