DocumentCode :
2079870
Title :
Determination of the solar cell panel installation angle
Author :
Chen, Yaow-Ming ; Wu, Hsu-Chin
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chia-Yi, Taiwan
Volume :
2
fYear :
2001
fDate :
22-25 Oct. 2001
Firstpage :
549
Abstract :
The output power of the solar cell panel is highly affected by the sunlight incident angle. The 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 presented in this paper. Genetic algorithms with climatic date are used to find out 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. A database information inquiry system based on the computer simulation results is developed by using the computer language C++ Builder. It can provide the sufficient installation information for both the stand-alone and grid-connected photovoltaic power generation systems.
Keywords :
genetic algorithms; photovoltaic power systems; solar cell arrays; sunlight; C++ Builder; Installation information; Taiwan; annual installation angles; computer simulations; database information inquiry system; genetic algorithms; grid-connected photovoltaic power generation systems; monthly installation angles; optimum angle; optimum installation angle; output power; solar cell panel; sunlight incident angle; sunlight radiation intensity; Artificial intelligence; Computer simulation; Costs; Genetic algorithms; Photovoltaic cells; Photovoltaic systems; Power generation; Solar energy; Solar power generation; Solar radiation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Drive Systems, 2001. Proceedings., 2001 4th IEEE International Conference on
Print_ISBN :
0-7803-7233-6
Type :
conf
DOI :
10.1109/PEDS.2001.975377
Filename :
975377
Link To Document :
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