A simple method for the estimation of global solar radiation from sunshine hours and other meteorological parameters
Estimation of solar radiation is considered as the most important parameter for the design and development of various solar energy systems. But, the availability of the required data is very scarce and often not readily accessible. The foremost objective of the present study was to evaluate the...
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Main Authors: | , , , |
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Format: | E-Article |
Language: | English |
Published: |
IEEE
2010
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Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/16289/1/A%20simple%20method%20for%20the%20estimation%20of%20global%28abstract%29.pdf http://ir.unimas.my/id/eprint/16289/ http://ieeexplore.ieee.org/document/5684439/?reload=true&arnumber=5684439 |
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Summary: | Estimation of solar radiation is considered as the
most important parameter for the design and development of
various solar energy systems. But, the availability of the
required data is very scarce and often not readily accessible. The
foremost objective of the present study was to evaluate the
various models for the estimation of monthly average global
solar radiation from bright sunshine hours and other
meteorological parameters at four locations namely Sri Aman,
Sibu, Bintulu and Limbang in the Sarawak State. For this
purpose, six different solar radiation models, such as Angstrom,
Glover, Tasdemirglu, Bahel, Hargreaves and Sayigh, have been
investigated. The computed values are compared and assessed,
but no relationships of results were found among selected
models and with measured values of the nearest location. Hence,
a simple and more flexible model is introduced based on the
input data of bright sunshine hours, relative humidity and
maximum temperature, for the prediction of available global
solar radiation on a horizontal surface. The required data for
the suggested model is usually available in the most
meteorological sites. The proposed model demonstrated
acceptable results, and statistically displayed lower RMSE and
MBE as compared to the examined models. It could be a good
estimator for predicting the global solar radiation in coastal and
humid areas. |
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