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The 9th International Energy Conference
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Showing 2 results for Global Solar Radiation

Hajar Bagheri, Mohammad Hassan Moradi, Sahar Bagheri,
Volume 16, Issue 2 (7-2013)
Abstract

Solar radiation estimation is an important part for various solar energy systems. Many researches have proposed different techniques to estimate the solar radiation that hinder using expencive devices for direction measurement of solar radiation. Nonlinear and complex nature of these methods forced researchers to look for quick and efficient techniques to solve related issues. In this paper, a new method based on the Angstrom equation is introduced which estimates the monthly average daily global solar radiation on a horizontal surface by Bees Algorithm as a heuristic technique implemented in MATLAB software. The empirical coefficients for Angstrom equation are calculated for four different climate regions of Iran using proposed method proved the efficiency and predominance of the new techniue to find a more accurate level of solar radiation.

Volume 16, Issue 4 (1-2014)
Abstract

Global Solar radiation received by Earths surface is one of the most applicable parameters in the estimation and modeling of solar energy projects, hydrology, agriculture, meteorology and climatological is important. Since very expensive instrument for measuring the radiation, had been suggested many different experimental equations by researchers around the world to estimate this parameter. In this research, a neural network model to predict radiation moment in Rafsanjan city is designed. Comparing the values obtained from the model is designed With the values measured by Pyranometer for a year, Was determined that the statistical indexes RMSE, MBE and t respectively for the neural network 36.5366 , 0.0037and 0.0232 that The model shows have good performance of the neural network is designed.

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نشریه انرژی ایران Iranian Journal of Energy
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