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Multi-objective particle swarm optimization of flat plate solar collector using constructal theory

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  • Ganjehkaviri, A.
  • Mohd Jaafar, M.N.

Abstract

In this study, the design and thermo-economic assessment of a flat plate solar collector has been explored by considering two scenarios. A conventional flat plate collector (FPC) is selected as the first scenario and multi-objective particle swarm optimization (MOPSO) algorithm has been applied to improve the thermal efficiency and total annual cost (TAC) simultaneously. In the second scenario, the constructal concept is implemented for the FPC by considering the same range of variations for the selected decision variables in the conventional FPC. Six design parameters including the system specifications are selected for the conventional FPC and for the constructal FPC in which is analyzed in two parts, hence twelve design parameters are selected for its optimization. The Pareto optimal front is obtained and compared for these two scenarios. In the thermal efficiencies higher than 0.54, the constructal Pareto optimal front is dominated over the results related to the conventional FPC.

Suggested Citation

  • Ganjehkaviri, A. & Mohd Jaafar, M.N., 2020. "Multi-objective particle swarm optimization of flat plate solar collector using constructal theory," Energy, Elsevier, vol. 194(C).
    • Handle: RePEc:eee:energy:v:194:y:2020:i:c:s0360544219325411
    DOI: 10.1016/j.energy.2019.116846
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    References listed on IDEAS

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    1. Ganjehkaviri, A. & Mohd Jaafar, M.N. & Hosseini, S.E. & Barzegaravval, H., 2017. "Genetic algorithm for optimization of energy systems: Solution uniqueness, accuracy, Pareto convergence and dimension reduction," Energy, Elsevier, vol. 119(C), pages 167-177.
    2. Ganjehkaviri, A. & Mohd Jaafar, M.N. & Hosseini, S.E. & Barzegaravval, H., 2016. "On the optimization of energy systems: Results utilization in the design process," Applied Energy, Elsevier, vol. 178(C), pages 587-599.
    3. Rao, R. Venkata & Saroj, Ankit, 2017. "Constrained economic optimization of shell-and-tube heat exchangers using elitist-Jaya algorithm," Energy, Elsevier, vol. 128(C), pages 785-800.
    4. Hajabdollahi, Hassan & Ganjehkaviri, Abdolsaeid & Mohd Jaafar, Mohammad Nazri, 2015. "Thermo-economic optimization of RSORC (regenerative solar organic Rankine cycle) considering hourly analysis," Energy, Elsevier, vol. 87(C), pages 369-380.
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    Cited by:

    1. Zhao, Zhigao & Yang, Jiandong & Chung, C.Y. & Yang, Weijia & He, Xianghui & Chen, Man, 2021. "Performance enhancement of pumped storage units for system frequency support based on a novel small signal model," Energy, Elsevier, vol. 234(C).
    2. Marzouk, S.A. & Abou Al-Sood, M.M. & M.S. El-Said, Emad & Younes, M.M. & K. El-Fakharany, Magda, 2023. "Evaluating the effects of bifurcation angle on the performance of a novel heat exchanger based on contractual theory," Renewable Energy, Elsevier, vol. 219(P1).
    3. Tang, Wei & Feng, Huijun & Chen, Lingen & Xie, Zhuojun & Shi, Junchao, 2021. "Constructal design for a boiler economizer," Energy, Elsevier, vol. 223(C).
    4. Nejlaoui, Mohamed & Alghafis, Abdullah & Sadig, Hussain, 2022. "Six sigma robust multi-objective design optimization of flat plate collector system under uncertain design parameters," Energy, Elsevier, vol. 239(PA).

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