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Research Papers

Prism-Based Sunlight Concentrator Layout: A Genetic Algorithm Solution

[+] Author and Article Information
Kung-Jeng Wang

Department of Industrial Management,
National Taiwan University of Science
and Technology,
Taipei City 106, Taiwan
e-mail: kjwang@mail.ntust.edu.tw

Nguyen Dang Tien Dung

Department of Industrial Management,
National Taiwan University of Science
and Technology,
Taipei City 106, Taiwan

Allen Jong-Woei Whang

Graduate Institute of Color
and Illumination Technology,
National Taiwan University of Science
and Technology,
Taipei City 106, Taiwan

1Corresponding author.

Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING. Manuscript received October 25, 2012; final manuscript received September 3, 2013; published online November 26, 2013. Assoc. Editor: Dr. Akiba Segal.

J. Sol. Energy Eng 136(2), 021016 (Nov 26, 2013) (6 pages) Paper No: SOL-12-1291; doi: 10.1115/1.4025845 History: Received October 25, 2012; Revised September 03, 2013

Solar energy is a promising source of energy because it is abundant and harmless to the environment. One of the critical issues involving solar energy is the layout design of sunlight concentrators. This study presents a computational method for reforming the layout of a special sunlight concentrator that consists of a set of prisms to significantly enhance its light intensity. Sunlight movement toward the prisms is modeled, and a genetic algorithm is applied to find a good concentrator layout. Experiments under various light transmission rates validate the performance of our proposed method. The proposed optimal sunlight concentrator layout improves the intensity of light by 55%.

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Figures

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Fig. 1

Refraction of light at the interface between two different media (n2 > n1)

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Fig. 2

An example of prisms arrangement to receive, orient and converge sunlight

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Fig. 3

Logic of building the total light intensity function

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Fig. 4

PLGA structure of prism layout in pseudo-code

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Fig. 5

The existing patent of sunlight concentrator layout

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Fig. 6

Performance convergence of PLGA

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Fig. 7

The resulting layout by PLGA (LTR=0.8,BFV=3812)

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