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New technique for estimating the monthly average daily global solar radiation using bees algorithm and empirical equations
Author(s) -
Tolabi Hajar Bagheri,
Ayob Shahrin Bin Md,
Moradi M.H.,
Shakarmi Mehrnoosh
Publication year - 2014
Publication title -
environmental progress and sustainable energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.495
H-Index - 66
eISSN - 1944-7450
pISSN - 1944-7442
DOI - 10.1002/ep.11858
Subject(s) - radiance , estimator , matlab , heuristic , algorithm , population , nonlinear system , software , computer science , empirical modelling , bees algorithm , mathematics , statistics , mathematical optimization , simulation , remote sensing , geography , physics , demography , quantum mechanics , sociology , metaheuristic , programming language , operating system
Measurement of solar radiance demands expensive devices to be used. Alternatively, estimator models are used instead. In this article, a new method based on the empirical equations is introduced to estimate the monthly average daily global solar radiation (GSR) on a horizontal surface. The proposed method uses Bees algorithm as a heuristic and population‐based search technique. The best coefficients of linear and nonlinear empirical models and GSR are calculated for seven different climate regions of Iran using proposed algorithm written in MATLAB software. The results of the proposed method are compared with other techniques. The result shows that the proposed method is more accurate in estimating the monthly average daily GSR. © 2013 American Institute of Chemical Engineers Environ Prog, 33: 1042–1050, 2014