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In this study, daily global solar radiation data at Guangzhou in 1995-2004 were investigated. Sunshine based models were used to estimate the global radiation. Estimated values were compared with measured values in terms of statistical error tests such as mean percentage error (MPE), mean bias error (MBE), root mean square error (RMSE). The model performing best was selected. The global solar radiation...
Six models for estimation of Kd vs. Kt or Kd vs. S/S0 using data from Guangzhou, China, were demonstrated in this study. The data set covers a period of 10 years (1995-2004). Estimated values were compared with measured values in terms of statistical error tests such as mean percentage error (MPE), mean bias error (MBE) and root mean square error (RMSE). Comparison of the estimated and measured values...
Accurate prediction of building energy performance requires precise information of the local climate. Typical weather year files like typical meteorological year (TMY) are commonly used in building simulation. They are also essential for numerical analysis of sustainable and renewable energy systems. The present paper presents the generation of typical meteorological year (TMY) for eight typical cities...
In order to obtain reliable radiation for design, operation and economic assessment of solar energy conversion device, a statistical analysis of daily correlations between diffuse solar radiation and global solar radiation is carried out using 10yr data (1995-2004) of daily global and diffuse solar radiation obtained at Beijing meteorological station of China. The accuracy of the correlations is performed...
The increase in negative effects of fossil fuels on the environment has forced many countries to use renewable energy sources, especially wind energy. China is a country which conceals abundant wind energy resources but the utilization of wind energy is limited. In this paper, our objective is to assess wind potential in Fujian Province by selecting two cities, Fuzhou and Shamen, both of which is...
Measured hourly diffuse solar radiation data of Zhengzhou in 2004 were analyzed in this work. The solar model proposed by Liu and Jordan was used to estimate the monthly mean hourly diffuse solar radiation data at Zhengzhou in 2004. Comparison between estimated and measured values of the hourly diffuse solar radiation showed that Liu & Jordan model can predict the measured data with good accuracy...
In this paper, an artificial neural network (ANN) model is developed for estimating monthly mean daily global solar radiation of 8 typical cities in China. The feed-forward back-propagation algorithm is applied in this analysis. The results of the ANN model and other empirical regression models have been compared with measured data on the basis of mean percentage error (MPE), mean bias error (MBE)...
In this study, several equations are employed to estimate monthly mean daily diffuse solar radiation for eight typical meteorological stations in China. Estimated values are compared with measured values in terms of statistical error tests such as mean percentage error (MPE), mean bias error (MBE), root mean square error (RMSE). All the models fit the data adequately and can be used to estimate monthly...
An artificial neural network (ANN) model for estimating monthly mean daily diffuse solar radiation is presented in this paper. Solar radiation data from 9 stations having different climatic conditions all over China during 1995–2004 are used for training and testing the ANN. Solar radiation data from eight typical cities are used for training the neural networks and data from the remaining one location...
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