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Maximum power point tracking (MPPT) of a scale-up pressure retarded osmosis (PRO) osmotic power plant

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  • He, Wei
  • Wang, Yang
  • Shaheed, Mohammad Hasan

Abstract

This paper presents a maximum power point tracking (MPPT) of a scale-up pressure retarded osmosis (PRO) based osmotic power generator. Inspired by the well-known MPPT in photovoltaic (PV) array, two algorithms, perturb & observe (P&O) and incremental mass-resistance (IMR) method, are investigated. Using a series of simulations, both the algorithms are demonstrated to be capable of tracking the maximum power point (MPP) and capturing the transitions between varied MPPs due to the fluctuations of operating temperature. However, in both cases the trade-off between the rise time and the oscillation is found requiring further consideration on the selection of the step-size for perturbation pressure or incremental pressure. In order to improve the performance of the MPPT, furthermore, an optimum model-based controller (OMC) is used to estimate the initial optimum pressure for the MPPT in a scale-up PRO process. It is found that with OMC, the performance of the MPPT is improved significantly. Finally, a strategy to operate and coordinate the MPPT and OMC to deal with the rapid variations of the salinities are proposed and evaluated in terms of individual variation of the concentration or flow rate and co-variation of the both. The simulations demonstrate the preferred performance of the proposed strategy to adjust the operation subject to the rapid changes of the salinities.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:158:y:2015:i:c:p:584-596
    DOI: 10.1016/j.apenergy.2015.08.059
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    References listed on IDEAS

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    Cited by:

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    2. He, Wei & Wang, Jihong, 2017. "Feasibility study of energy storage by concentrating/desalinating water: Concentrated Water Energy Storage," Applied Energy, Elsevier, vol. 185(P1), pages 872-884.
    3. Maisonneuve, Jonathan & Chintalacheruvu, Sanjana, 2019. "Increasing osmotic power and energy with maximum power point tracking," Applied Energy, Elsevier, vol. 238(C), pages 683-695.
    4. 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.
    5. Wen Yi Chia & Kuan Shiong Khoo & Shir Reen Chia & Kit Wayne Chew & Guo Yong Yew & Yeek-Chia Ho & Pau Loke Show & Wei-Hsin Chen, 2020. "Factors Affecting the Performance of Membrane Osmotic Processes for Bioenergy Development," Energies, MDPI, vol. 13(2), pages 1-22, January.
    6. Hong, Ying-Yi & Beltran, Angelo A. & Paglinawan, Arnold C., 2018. "A robust design of maximum power point tracking using Taguchi method for stand-alone PV system," Applied Energy, Elsevier, vol. 211(C), pages 50-63.
    7. Touati, Khaled & Rahaman, Md. Saifur, 2020. "Viability of pressure-retarded osmosis for harvesting energy from salinity gradients," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    8. 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.
    9. 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.
    10. Touati, Khaled & Usman, Haamid Sani & Mulligan, Catherine N. & Rahaman, Md. Saifur, 2020. "Energetic and economic feasibility of a combined membrane-based process for sustainable water and energy systems," Applied Energy, Elsevier, vol. 264(C).

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