A technique for accurate energy yields prediction of photovoltaic system

Author(s): Chiou-Jye Huanga*, Chao-Yang Huanga,b, Po-Chun Huanga, Shun-Hung Tsaic
Green Energy & Environment Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan
Department of mechanical engineering, National Chiao Tung University, Hsinchu, Taiwan
Institute of Automation Technology, National Taipei University of Technology, Taipei, Taiwan
International Journal of Smart Grid and Clean Energy, vol. 3, no. 1, January 2014: pp. 51-56
ISSN: 2315-4462
Digital Object Identifier: 10.12720/sgce.3.1.51-56


Abstract: In this paper, the authors have investigated the long-term energy prediction of photovoltaic system in Hsinchu Taiwan. The steady-state model of the photovoltaic system has been used. The evaluation for energy prediction of the photovoltaic system has been developed with the integration of photovoltaic modules temperature losses. PV energy generation prediction employs module performance, installation site and meteorological data information. A simple model is created to simulate the energy yields of using PV module thermal model. PV module thermal model is created for the module temperature, ambient temperature and solar radiation. In this present study, the prediction model is created to simulate the energy yields of PV system. Experimental results show that our energy yields prediction results of PV system have clearly demonstrated that the root-meat-squared error (RMSE) performance is very well. The yearly RMSE of our prediction model is 4.92% better than PVSYS 5.42 model.

Keywords: Energy prediction, photovoltaic system, energy yields

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