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