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Sunlight concentrator design using a revised genetic algorithm

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  • Wang, Kung-Jeng
  • Yang, Jheng-Wei

Abstract

Solar light is a source of green energy that poses no harm to the environment. The layout of a sunlight concentrator has a significant effect on prism-based sunlight concentration systems. This study develops a genetic algorithm that improves the layout efficiency and symmetry of sunlight concentration, by considering light reflection and refraction given the assumption of vertical incident light angle and known transmission rate. Results obtained from the experiments, which involved different settings, show that compared with the current design, more than 400% improvement in brightness and 80% in symmetry can be achieved by the proposed approach. In addition, sensitivity analyses are conducted to simulate different practical scenarios, including different incident light angles.

Suggested Citation

  • Wang, Kung-Jeng & Yang, Jheng-Wei, 2014. "Sunlight concentrator design using a revised genetic algorithm," Renewable Energy, Elsevier, vol. 72(C), pages 322-335.
  • Handle: RePEc:eee:renene:v:72:y:2014:i:c:p:322-335
    DOI: 10.1016/j.renene.2014.07.020
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    References listed on IDEAS

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    1. Mialhe, P. & Mouhamed, S. & Haydar, A., 1991. "The solar cell output power dependence on the angle of incident radiation," Renewable Energy, Elsevier, vol. 1(3), pages 519-521.
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    Cited by:

    1. Wang, Gang & Wang, Fasi & Shen, Fan & Jiang, Tieliu & Chen, Zeshao & Hu, Peng, 2020. "Experimental and optical performances of a solar CPV device using a linear Fresnel reflector concentrator," Renewable Energy, Elsevier, vol. 146(C), pages 2351-2361.
    2. Wang, Gang & Wang, Fasi & Chen, Zeshao & Hu, Peng & Cao, Ruifeng, 2019. "Experimental study and optical analyses of a multi-segment plate (MSP) concentrator for solar concentration photovoltaic (CPV) system," Renewable Energy, Elsevier, vol. 134(C), pages 284-291.
    3. Valentín Osuna-Enciso & Marco Pérez-Cisneros & Daniel Zaldívar-Navarro, 2020. "Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison," Energies, MDPI, vol. 13(2), pages 1-17, January.

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