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Particle swarm optimization algorithm for optical-geometric optimization of linear fresnel solar concentrators

Author

Listed:
  • Ajdad, H.
  • Filali Baba, Y.
  • Al Mers, A.
  • Merroun, O.
  • Bouatem, A.
  • Boutammachte, N.

Abstract

In this work we propose the application of the particle swarm optimization (PSO) method to Optical-geometric optimization of linear Fresnel reflector solar concentrators (LFR). The optical-radiative behavior of the system is modeled based on the Ray tracing-Monte Carlo algorithm that calculates the optical performances and the radiative energy collected by the absorber tube. For this system, the application of particle swarm optimization method for optical optimization has not been studied yet. For this reason, testing this method and developing its strategy of implementation in the case of Fresnel concentrator system is one of other objective of this work. In that sense, we present mainly the coupling strategy between the Monte Carlo-ray tracing algorithm and the particle swarm optimization method. In first, the PSO optimization algorithm established is validated by comparison with a deterministic method results. Then, we demonstrated the ability of the method to resolve optimization problem with high number of decision parameters and complex objective function. Subsequently, the various guidelines allowing the rational use of this method in the case of linear Fresnel systems optimization are proposed and discussed. Subsequently, the optimization algorithm is applied to the case of linear Fresnel concentrator module designed in the framework of SIROCCO project.

Suggested Citation

  • Ajdad, H. & Filali Baba, Y. & Al Mers, A. & Merroun, O. & Bouatem, A. & Boutammachte, N., 2019. "Particle swarm optimization algorithm for optical-geometric optimization of linear fresnel solar concentrators," Renewable Energy, Elsevier, vol. 130(C), pages 992-1001.
    • Handle: RePEc:eee:renene:v:130:y:2019:i:c:p:992-1001
    DOI: 10.1016/j.renene.2018.07.001
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    References listed on IDEAS

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    3. Benyakhlef, S. & Al Mers, A. & Merroun, O. & Bouatem, A. & Boutammachte, N. & El Alj, S. & Ajdad, H. & Erregueragui, Z. & Zemmouri, E., 2016. "Impact of heliostat curvature on optical performance of Linear Fresnel solar concentrators," Renewable Energy, Elsevier, vol. 89(C), pages 463-474.
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    5. Cheng, Ze-Dong & He, Ya-Ling & Du, Bao-Cun & Wang, Kun & Liang, Qi, 2015. "Geometric optimization on optical performance of parabolic trough solar collector systems using particle swarm optimization algorithm," Applied Energy, Elsevier, vol. 148(C), pages 282-293.
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    2. Sun, Jingqi & Ruze, Nuermaimaiti & Zhang, Jianjun & Shi, Jing & Shen, Boyang, 2021. "Capacity planning and optimization for integrated energy system in industrial park considering environmental externalities," Renewable Energy, Elsevier, vol. 167(C), pages 56-65.
    3. Sánchez-González, Alberto & Gómez-Hernández, Jesús, 2020. "Beam-down linear Fresnel reflector: BDLFR," Renewable Energy, Elsevier, vol. 146(C), pages 802-815.
    4. Ghazouani, Mokhtar & Bouya, Mohsine & Benaissa, Mohammed, 2020. "Thermo-economic and exergy analysis and optimization of small PTC collectors for solar heat integration in industrial processes," Renewable Energy, Elsevier, vol. 152(C), pages 984-998.
    5. de Sá, Alexandre Bittencourt & Pigozzo Filho, Victor César & Tadrist, Lounès & Passos, Júlio César, 2021. "Experimental study of a linear Fresnel concentrator: A new procedure for optical and heat losses characterization," Energy, Elsevier, vol. 232(C).
    6. Yuan, Guanghui & Yang, Weixin, 2019. "Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA)," Energy, Elsevier, vol. 183(C), pages 926-935.
    7. Abdelhady, Suzan, 2021. "Performance and cost evaluation of solar dish power plant: sensitivity analysis of levelized cost of electricity (LCOE) and net present value (NPV)," Renewable Energy, Elsevier, vol. 168(C), pages 332-342.
    8. Santos, Andre V. & Canavarro, Diogo & Collares-Pereira, Manuel, 2021. "The gap angle as a design criterion to determine the position of linear Fresnel primary mirrors," Renewable Energy, Elsevier, vol. 163(C), pages 1397-1407.
    9. Alkmini Michaloglou & Nikolaos L. Tsitsas, 2021. "Feasible Optimal Solutions of Electromagnetic Cloaking Problems by Chaotic Accelerated Particle Swarm Optimization," Mathematics, MDPI, vol. 9(21), pages 1-23, October.

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