Journal of the Korean Solar Energy Society (한국태양에너지학회 논문집)

The Korean Solar Energy Society (한국태양에너지학회)
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Variation of Solar Photovoltaic Power Estimation due to Solar Irradiance Decomposition Models

일사량 직산분리 모델에 따른 표준기상연도 데이터와 태양광 발전 예측량의 불확실성

  • Jo, Eul-Hyo (School of Mechanical Engineering, Kookmin University) ;
  • Lee, Hyun-Jin (School of Mechanical Engineering, Kookmin University)
  • Received : 2019.05.16
  • Accepted : 2019.06.24
  • Published : 2019.06.30
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Abstract

Long-term solar irradiance data are required for reliable performance evaluation and feasibility analysis of solar photovoltaic systems. However, measurement data of the global horizontal irradiance (GHI) are only available for major cities in Korea. Neither the direct normal irradiance (DNI) nor the diffuse horizontal irradiance (DHI) are available, which are also needed to calculate the irradiance on the tilted surface of PV array. It is a simple approach to take advantage of the decomposition model that extracts DNI and DHI from GHI. In this study, we investigate variations of solar PV power estimation due to the choice of decomposition model. The GHI data from Korea Meteorological Administration (KMA) were used and different sets of typical meteorological year (TMY) data using some well-known decomposition models were generated. Then, power outputs with the different TMY data were calculated, and a variation of 3.7% was estimated due to the choice of decomposition model.

Keywords

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Fig. 1 Effects of decomposition models on GHI in TMY data

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Fig. 2 Effects of decomposition models on DNI in TMY data

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Fig. 3 Solar irradiance incident on surfaces of solar panel (POA irradiance)

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Fig. 4 Effects of decomposition models on POA irradiance

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Fig. 5 Effects of decomposition models on estimation of solar PV power generation

Table 1 Weighting factors of weather elements

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