IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v256y2026iphs0960148125022281.html

Multi-objective optimization of an integrated ocean thermal energy conversion system

Author

Listed:
  • Xiao, Chenglong
  • Gao, Wei

Abstract

Low carbon, stability, and great capacity are the advantages of ocean thermal energy (OTE). Inadequate thermodynamics and exergoeconomic performances of ocean thermal energy power generation, however, impede its large-scaled commercial application. In that case, an integrated power generation, refrigeration, and desalination ocean thermal energy conversion (OTEC) system, where the deep cold seawater is reused, has been proposed to simultaneously produce the aforementioned diverse materials to cater the energy demands of remote tropical islands. Further, a reference point-based fast nondominated sorting genetic algorithm III (NSGA-III) is employed where the exergetic efficiency and levelized cost of energy (LCoE) are selected as the objective functions to obtain the optimal thermodynamics and exergoeconomic performances. The results display that a net output power of 4.36 kW, refrigeration capacity of 67.22 kW, and freshwater production of 13.31 t/d can be achieved when the flow rate of power subsystem is 1.0 kg/s. Moreover, compared to the single OTEC plant with an LCoE of 3.56 $/kWh, the integrated system's LCoE is only 0.31 $/kWh. Furthermore, the optimization result indicates that the ranges of the exergetic efficiency and LCoE are 10.93 %–40.56 %, and 0.091 $/(kWh) to 0.443 $/(kWh), respectively. Finally, decision-makers can choose any solution on the pareto frontier as operation values depending on specific preferences and criteria.

Suggested Citation

  • Xiao, Chenglong & Gao, Wei, 2026. "Multi-objective optimization of an integrated ocean thermal energy conversion system," Renewable Energy, Elsevier, vol. 256(PH).
  • Handle: RePEc:eee:renene:v:256:y:2026:i:ph:s0960148125022281
    DOI: 10.1016/j.renene.2025.124564
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125022281
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.124564?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:256:y:2026:i:ph:s0960148125022281. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.