Calculation of the optimum installation angle for fixed solar-cell panels based on the genetic algorithm and the simulated-annealing method

Yaow Ming Chen; Chien Hsing Lee; Hsu Chin Wu

doi:10.1109/TEC.2004.832093

Calculation of the optimum installation angle for fixed solar-cell panels based on the genetic algorithm and the simulated-annealing method

Yaow Ming Chen, Chien Hsing Lee, Hsu Chin Wu

Department of Systems and Naval Mechatronic Engineering

Research output: Contribution to journal › Article › peer-review

127 Citations (Scopus)

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.

Original language	English
Pages (from-to)	467-473
Number of pages	7
Journal	IEEE Transactions on Energy Conversion
Volume	20
Issue number	2
DOIs	https://doi.org/10.1109/TEC.2004.832093
Publication status	Published - 2005 Jun

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/TEC.2004.832093

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title = "Calculation of the optimum installation angle for fixed solar-cell panels based on the genetic algorithm and the simulated-annealing method",

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.",

author = "Chen, {Yaow Ming} and Lee, {Chien Hsing} and Wu, {Hsu Chin}",

note = "Funding Information: Manuscript received December 3, 2002; revised January 15, 2004. This work was supported in part by the National Science Council of Taiwan, R.O.C., under Project NSC 89-2218-E-194-031. Paper no. TEC-00266-2002. Y.-M. Chen is with the Department of Electrical Engineering, National Chung Cheng University, Chiayi 621, Taiwan, R.O.C. (e-mail: ieeymc@ccu.edu.tw). C.-H. Lee is with the Department of Electrical Engineering, National Yunlin University of Science and Technology, Yunlin 640, Taiwan, R.O.C. (e-mail: chlee@yuntech.edu.tw). H.-C. Wu is with the Department of Electrical Engineering, I-Shou University, Kaohsiung 840, Taiwan, R.O.C. Digital Object Identifier 10.1109/TEC.2004.832093",

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N2 - 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.

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Calculation of the optimum installation angle for fixed solar-cell panels based on the genetic algorithm and the simulated-annealing method

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