Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks

作者: F. Almonacid , C. Rus , P. Pérez-Higueras , L. Hontoria

DOI: 10.1016/J.ENERGY.2010.10.028

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摘要: Abstract The use of photovoltaics for electricity generation purposes has recorded one the largest increases in field renewable energies. energy production a grid-connected PV system depends on various factors. In wide sense, it is considered that annual provided by generator directly proportional to radiation incident plane and installed nominal power. However, range factors influencing expected outcome reducing energy. aim this study compare results four different methods estimating produced generator: three them are classical fourth based an artificial neural network developed R&D Group Solar Automatic Energy at University Jaen. obtained shown method provides better than alternative study, mainly due fact takes also into account some second order effects, such as low irradiance, angular spectral effects.

参考文章(19)
N. Martin, J.M. Ruiz, Calculation of the PV modules angular losses under field conditions by means of an analytical model Solar Energy Materials and Solar Cells. ,vol. 70, pp. 25- 38 ,(2001) , 10.1016/S0927-0248(00)00408-6
Ken-Ichi Funahashi, On the approximate realization of continuous mappings by neural networks Neural Networks. ,vol. 2, pp. 183- 192 ,(1989) , 10.1016/0893-6080(89)90003-8
FJMF Almonacid, C Rus, L Hontoria, FJ Munoz, None, Characterisation of PV CIS module by artificial neural networks. A comparative study with other methods Renewable Energy. ,vol. 35, pp. 973- 980 ,(2010) , 10.1016/J.RENENE.2009.11.018
J. Pérez-Alonso, M. Pérez-García, M. Pasamontes-Romera, A.J. Callejón-Ferre, Performance analysis and neural modelling of a greenhouse integrated photovoltaic system Renewable & Sustainable Energy Reviews. ,vol. 16, pp. 4675- 4685 ,(2012) , 10.1016/J.RSER.2012.04.002
F. Almonacid, C. Rus, L. Hontoria, M. Fuentes, G. Nofuentes, Characterisation of Si-crystalline PV modules by artificial neural networks Renewable Energy. ,vol. 34, pp. 941- 949 ,(2009) , 10.1016/J.RENENE.2008.06.010
Taher Maatallah, Souheil El Alimi, Sassi Ben Nassrallah, Performance modeling and investigation of fixed, single and dual-axis tracking photovoltaic panel in Monastir city, Tunisia Renewable & Sustainable Energy Reviews. ,vol. 15, pp. 4053- 4066 ,(2011) , 10.1016/J.RSER.2011.07.037