SPATIAL INTERPOLATION OF DAILY SOLAR IRRADIATION, THROUGH ARTIFICIAL NEURAL NETWORKS

摘要：

This work proposes an alternative for generation of synthetic series of daily solar irradiation from spatial interpolation using artificial neural networks (ANN). The estimations were obtained using geographic variables and meteorological variables, that are easily available. The data were measured between 2001 and 2006 in seven Brazilian localities of semi-arid tropical climate, in Northeast Region of the country. The estimations were carried out for the months of November, one of the months of higher incidence of solar irradiation in the region. For each locality a daily temporal series was estimated founded on what was learned from the experimental sequences of the other six localities. The daily solar irradiation calculated series when compared with the experimental series produced RMSE between 11％ and 19％, depending on the local. The auto correlations of first order also are well reproduced with maximum deviation of 17％. Finally, the monthly accumulated irradiation values, calculated and experimental, have maximum deviation of 8％, thus, demonstrating their aptitude as input for long term solar system simulation.

作者: Adalberto N.Siqueira Chigueru Tiba Naum Fraidenraich

作者单位: Departamento de Energia Nuclear da Universidade Federal de Pernambuco Av.Prof.Luiz Freire, 1000 – CDU, CEP 50.740-540, Recife, Pernambuco, Brasil Fone:[phone], Fax: [phone]

会议类型: 国际会议

会议名称: 2007世界太阳能大会(Proceedings of ISES Solar World Congress 2007)

会议地点: 北京

会议语种:英文

在线出版日期: 2007-09-18（万方平台首次上网日期，不代表论文的发表时间）