DocumentCode :
815581
Title :
Calculation of the optimum installation angle for fixed solar-cell panels based on the genetic algorithm and the Simulated-annealing method
Author :
Chen, Yaow-Ming ; Lee, Chien-Hsing ; Wu, Hsu-Chin
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
Volume :
20
Issue :
2
fYear :
2005
fDate :
6/1/2005 12:00:00 AM
Firstpage :
467
Lastpage :
473
Abstract :
This paper presents the calculation of the optimum installation angle for the fixed solar-cell panels based on the genetic algorithm (GA) and the simulated-annealing (SA) method. The output power of the solar-cell panel is highly affected by the sunlight incident angle and its efficiency can be improved if the solar-cell panel is properly installed with the optimum angle. The relationship between the sunlight incident angle and the sunlight radiation intensity on the solar-cell panel surface is also presented in this paper. Both GA and SA with climatic data are utilized to calculate the optimum installation angle of the solar-cell panel for different locations in Taiwan. The best monthly and annual installation angles obtained by computer simulations are presented. Hardware experimental results indicate that the actual best monthly installation angles are very close to the computer simulation results.
Keywords :
genetic algorithms; power engineering computing; simulated annealing; solar cells; computer simulation; fixed solar-cell panels; genetic algorithm; optimum installation angle; simulated annealing method; sunlight radiation intensity; Computer simulation; Costs; Equivalent circuits; Genetic algorithms; Photovoltaic cells; Photovoltaic systems; Power generation; Solar energy; Solar power generation; Solar radiation; Genetic algorithm (GA); photovoltaic power systems; simulated-annealing (SA) method; solar-cell panels;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/TEC.2004.832093
Filename :
1432862
Link To Document :
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