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A Boosted Particle Swarm Method for Energy Efficiency Optimization of PRO Systems

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  • Yingxue Chen

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China)

  • Linfeng Gou

    (School of Power and Energy, Northwestern Polytechnical University, Xi’an 710129, China)

Abstract

The analytical solutions of complex dynamic PRO systems pose challenges to ensuring that maximum power can be harvested in stable, rapid, and efficient ways in response to varying operational environments. In this paper, a boosted particle swarm optimization (BPSO) method with enhanced essential coefficients is proposed to enhance the exploration and exploitation stages in the optimization process. Moreover, several state-of-the-art techniques are utilized to evaluate the proposed BPSO of scaled-up PRO systems. The competitive results revealed that the proposed method improves power density by up to 88.9% in comparison with other algorithms, proving its ability to provide superior performance with complex and computationally intensive derivative problems. The analysis and comparison of the popular and recent metaheuristic methods in this study could provide a reference for the targeted selection method for different applications.

Suggested Citation

  • Yingxue Chen & Linfeng Gou, 2021. "A Boosted Particle Swarm Method for Energy Efficiency Optimization of PRO Systems," Energies, MDPI, vol. 14(22), pages 1-13, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7688-:d:681044
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    References listed on IDEAS

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    1. Chen, Yingxue & Vepa, Ranjan & Shaheed, Mohammad Hasan, 2018. "Enhanced and speedy energy extraction from a scaled-up pressure retarded osmosis process with a whale optimization based maximum power point tracking," Energy, Elsevier, vol. 153(C), pages 618-627.
    2. He, Wei & Wang, Yang & Shaheed, Mohammad Hasan, 2015. "Maximum power point tracking (MPPT) of a scale-up pressure retarded osmosis (PRO) osmotic power plant," Applied Energy, Elsevier, vol. 158(C), pages 584-596.
    3. Tawalbeh, Muhammad & Al-Othman, Amani & Abdelwahab, Noun & Alami, Abdul Hai & Olabi, Abdul Ghani, 2021. "Recent developments in pressure retarded osmosis for desalination and power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    4. Etzaguery Marin-Coria & Rodolfo Silva & Cecilia Enriquez & M. Luisa Martínez & Edgar Mendoza, 2021. "Environmental Assessment of the Impacts and Benefits of a Salinity Gradient Energy Pilot Plant," Energies, MDPI, vol. 14(11), pages 1-24, June.
    5. Long, Rui & Lai, Xiaotian & Liu, Zhichun & Liu, Wei, 2019. "Pressure retarded osmosis: Operating in a compromise between power density and energy efficiency," Energy, Elsevier, vol. 172(C), pages 592-598.
    6. Maisonneuve, Jonathan & Chintalacheruvu, Sanjana, 2019. "Increasing osmotic power and energy with maximum power point tracking," Applied Energy, Elsevier, vol. 238(C), pages 683-695.
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