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Prediction of module temperature and photovoltaic electricity generation by the data of Korea Meteorological Administration  

Kim, Yong-min (Korea East-West Power Co., Ltd.)
Moon, Seung-Jae (School of Mechanical Engineering, Hanyang University)
Publication Information
Plant Journal / v.17, no.4, 2021 , pp. 41-52 More about this Journal
Abstract
In this study, the PV output and module temperature values were predicted using the Meteorological Agency data and compared with actual data, weather, solar radiation, ambient temperature, and wind speed. The forecast accuracy by weather was the lowest in the data on a clear day, which had the most data of the day when it was snowing or the sun was hit at dawn. The predicted accuracy of the module temperature and the amount of power generation according to the amount of insolation decreased as the amount of insolation increased, and the predicted accuracy according to the ambient temperature decreased as the module temperature increased as the ambient temperature increased and the amount of power generated lowered the ambient temperature. As for wind speed, the predicted accuracy decreased as the wind speed increased for both module temperature and power generation, but it was difficult to define the correlation because wind speed was insignificant than the influence of other weather conditions.
Keywords
Photovoltaic system; Photovoltaic Power Prediction; Module temperature; Prediction model; Weather conditions;
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