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Optimal control and operation strategy for an integrated photovoltaic/thermal-pressure retarded osmosis-solid oxide fuel cell system

Author

Listed:
  • Chen, Yingxue
  • Chi, Haoran
  • Ji, Zhixing
  • Li, Guang
  • Gou, Linfeng

Abstract

Hydrogen-based renewable microgrids have gained widespread recognition as a promising, clean, efficient, and economically viable zero-carbon solution. In this work, a centralized energy management strategy for a stand-alone DC microgrid employing the photovoltaic thermal system, the pressure retarded osmosis system, and the solid oxide fuel cell system is proposed for the first time. The performance of the developed hybrid system depends on environmental conditions such as temperature, pressure, solar intensity, etc., and its nonlinear characteristics require fast and robust control to improve energy efficiency and lifetime. In this study, a maximum power point tracking (MPPT) control based on the distributed optimization algorithm using triangulation topology aggregation optimizer (TTAO) and reptile search algorithm is first adopted to improve the dynamic operating efficiency of the integrated system under fluctuating environmental conditions. The results indicate that the proposed system combined with EMS can provide superior MPPT performance with less power fluctuation and higher production efficiency. The TTAO algorithm outperforms the other three evaluated algorithms. In the proposed hybrid system, an annual output power of 1852 kW is achieved, an increase of 9.84 % compared to the classic approach, achieving higher energy efficiency and a lower operating cost for the hybrid system.

Suggested Citation

  • Chen, Yingxue & Chi, Haoran & Ji, Zhixing & Li, Guang & Gou, Linfeng, 2025. "Optimal control and operation strategy for an integrated photovoltaic/thermal-pressure retarded osmosis-solid oxide fuel cell system," Renewable Energy, Elsevier, vol. 254(C).
  • Handle: RePEc:eee:renene:v:254:y:2025:i:c:s0960148125014119
    DOI: 10.1016/j.renene.2025.123749
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    References listed on IDEAS

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    1. Mottaghizadeh, Pegah & Jabbari, Faryar & Brouwer, Jack, 2022. "Integrated solid oxide fuel cell, solar PV, and battery storage system to achieve zero net energy residential nanogrid in California," Applied Energy, Elsevier, vol. 323(C).
    2. Singh, Bhuwan Pratap & Goyal, Sunil Kumar & Siddiqui, Shahbaz Ahmed & Saraswat, Amit & Ucheniya, Ravi, 2022. "Intersection Point Determination Method: A novel MPPT approach for sudden and fast changing environmental conditions," Renewable Energy, Elsevier, vol. 200(C), pages 614-632.
    3. 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.
    4. Bi, Honghui & He, Xiaojun & Zhang, Hanfang & Li, Hongqiang & Xiao, Nan & Qiu, Jieshan, 2021. "N, P co-doped hierarchical porous carbon from rapeseed cake with enhanced supercapacitance," Renewable Energy, Elsevier, vol. 170(C), pages 188-196.
    5. Alirahmi, Seyed Meysam & Raisi, Afrasiab & Ghasemi, Behzad & Nadooshan, Afshin Ahmadi, 2023. "Comprehensive techno-economic assessment and tri-objective optimization of an innovative integration of compressed air energy storage system and solid oxide fuel cell," Renewable Energy, Elsevier, vol. 218(C).
    6. 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.
    7. Fathy, Ahmed & Rezk, Hegazy & Mohamed Ramadan, Haitham Saad, 2020. "Recent moth-flame optimizer for enhanced solid oxide fuel cell output power via optimal parameters extraction process," Energy, Elsevier, vol. 207(C).
    8. Wei, Ya & Stanford, Russell J., 2019. "Parameter identification of solid oxide fuel cell by Chaotic Binary Shark Smell Optimization method," Energy, Elsevier, vol. 188(C).
    9. Refaat, Ahmed & Ali, Qays Adnan & Elsakka, Mohamed Mohamed & Elhenawy, Yasser & Majozi, Thokozani & Korovkin, Nikolay V. & Elfar, Medhat Hegazy, 2024. "Extraction of maximum power from PV system based on horse herd optimization MPPT technique under various weather conditions," Renewable Energy, Elsevier, vol. 220(C).
    10. 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.
    11. Wang, Fang & You, Tian & Cui, Hongzhi, 2024. "Multi-objective optimization and evaluation of the building-integrated photovoltaic/thermal-energy pile ground source heat pump system," Applied Energy, Elsevier, vol. 371(C).
    12. repec:plo:pone00:0183750 is not listed on IDEAS
    13. Soleimanzade, Mohammad Amin & Sadrzadeh, Mohtada, 2021. "Deep learning-based energy management of a hybrid photovoltaic-reverse osmosis-pressure retarded osmosis system," Applied Energy, Elsevier, vol. 293(C).
    14. Khojaste Effatpanah, Saeed & Rahbari, Hamid Reza & Ahmadi, Mohammad H. & Farzaneh, Ali, 2023. "Green hydrogen production and utilization in a novel SOFC/GT-based zero-carbon cogeneration system: A thermodynamic evaluation," Renewable Energy, Elsevier, vol. 219(P2).
    15. He, Wei & Wang, Yang & Shaheed, Mohammad Hasan, 2015. "Stand-alone seawater RO (reverse osmosis) desalination powered by PV (photovoltaic) and PRO (pressure retarded osmosis)," Energy, Elsevier, vol. 86(C), pages 423-435.
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