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Demonstration of a real-time maximum power point tracker for salt gradient osmotic power systems

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  • Yagnambhatt, Sanjana
  • Khanmohammadi, Saber
  • Maisonneuve, Jonathan

Abstract

Clean energy is needed to sustainably power our economies and communities. Salt gradients, which are available in marine ecosystems as well as from the brine of engineered desalination systems, are a renewable source of energy. Membrane-based osmotic power processes have been proposed for converting the free energy of mixing seawater and diluted water to useful mechanical work. It has been shown that during osmosis, the applied mechanical load as well as the circulation rates of diluted feed and concentrated draw through the membrane module have a significant impact of transport dynamics, including polarization and friction. Therefore, to maximize performance of this process, it is necessary to carefully adjust these operating conditions. Using modelling and simulation, our group has previously shown that it is possible to coordinate the control of these key operating variables in order to maximize net power output. In this work, we report on our efforts to experimentally demonstrate the concept of real-time maximum power point tracking for a salt gradient osmotic power system. The transient response of a laboratory scale osmotic system is characterized, showing water permeate flux, pressure losses, and power output in response to step changes in applied pressure and to feed and draw circulation rates. A “perturb and observe” feedback algorithm and control strategy are implemented and as a result, the real-time net power output of the osmotic power system is shown to more than double relative to baseline conditions. Such real-time control strategies have broad applications to a variety of membrane processes and can be customized to track selected performance metrics.

Suggested Citation

  • Yagnambhatt, Sanjana & Khanmohammadi, Saber & Maisonneuve, Jonathan, 2024. "Demonstration of a real-time maximum power point tracker for salt gradient osmotic power systems," Applied Energy, Elsevier, vol. 376(PA).
  • Handle: RePEc:eee:appene:v:376:y:2024:i:pa:s0306261924015885
    DOI: 10.1016/j.apenergy.2024.124205
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    References listed on IDEAS

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    1. Pei Ye, Song & Hua Liu, Yi & Chung Wang, Shun & Yu Pai, Hung, 2022. "A novel global maximum power point tracking algorithm based on Nelder-Mead simplex technique for complex partial shading conditions," Applied Energy, Elsevier, vol. 321(C).
    2. Maisonneuve, Jonathan & Laflamme, Claude B. & Pillay, Pragasen, 2016. "Experimental investigation of pressure retarded osmosis for renewable energy conversion: Towards increased net power," Applied Energy, Elsevier, vol. 164(C), pages 425-435.
    3. Tufa, Ramato Ashu & Pawlowski, Sylwin & Veerman, Joost & Bouzek, Karel & Fontananova, Enrica & di Profio, Gianluca & Velizarov, Svetlozar & Goulão Crespo, João & Nijmeijer, Kitty & Curcio, Efrem, 2018. "Progress and prospects in reverse electrodialysis for salinity gradient energy conversion and storage," Applied Energy, Elsevier, vol. 225(C), pages 290-331.
    4. Maisonneuve, Jonathan & Pillay, Pragasen & Laflamme, Claude B., 2015. "Pressure-retarded osmotic power system model considering non-ideal effects," Renewable Energy, Elsevier, vol. 75(C), pages 416-424.
    5. Peng, Lele & Zheng, Shubin & Chai, Xiaodong & Li, Liming, 2018. "A novel tangent error maximum power point tracking algorithm for photovoltaic system under fast multi-changing solar irradiances," Applied Energy, Elsevier, vol. 210(C), pages 303-316.
    6. Wang, Jian-jun & Deng, Yu-cong & Sun, Wen-biao & Zheng, Xiao-bin & Cui, Zheng, 2023. "Maximum power point tracking method based on impedance matching for a micro hydropower generator," Applied Energy, Elsevier, vol. 340(C).
    7. Prasanth Ram, J. & Rajasekar, N., 2017. "A new robust, mutated and fast tracking LPSO method for solar PV maximum power point tracking under partial shaded conditions," Applied Energy, Elsevier, vol. 201(C), pages 45-59.
    8. Han, Gang & Ge, Qingchun & Chung, Tai-Shung, 2014. "Conceptual demonstration of novel closed-loop pressure retarded osmosis process for sustainable osmotic energy generation," Applied Energy, Elsevier, vol. 132(C), pages 383-393.
    9. Naguib, Maged Fouad & Maisonneuve, Jonathan & Laflamme, Claude B. & Pillay, Pragasen, 2015. "Modeling pressure-retarded osmotic power in commercial length membranes," Renewable Energy, Elsevier, vol. 76(C), pages 619-627.
    10. Altaee, Ali & Millar, Graeme J. & Zaragoza, Guillermo, 2016. "Integration and optimization of pressure retarded osmosis with reverse osmosis for power generation and high efficiency desalination," Energy, Elsevier, vol. 103(C), pages 110-118.
    11. 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.
    12. Wan, Chun Feng & Chung, Tai-Shung, 2018. "Techno-economic evaluation of various RO+PRO and RO+FO integrated processes," Applied Energy, Elsevier, vol. 212(C), pages 1038-1050.
    13. 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.
    14. 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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