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Kun-Chang Kuo, Jen-Cheng Wang, Yu-Li Su, Jui-Jen Chou and Joe-Air Jiang A novel power benefit prediction approach for two-axis sun-tracking type photovoltaic systems based on semiconductor theory Progress in Photovoltaics: Research and Applications 22

Version of Record online: 26 DEC 2012 | DOI: 10.1002/pip.2327

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This study proposes a novel method for estimating the power benefit harvested by the sun-tracking type (STT) photovoltaic (PV) system. The method is based on the semiconductor theory, and the dynamic characteristics of PV modules can be integrated with the solar incidence database to predict the energy harvested by an STT PV system. The annual energy increment provided by an STT PV system compared with that by a fixed-type PV system can be accurately estimated by the proposed method.

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