IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v291y2024ics0360544224000604.html
   My bibliography  Save this article

A modified Diesel cycle via isothermal heat addition, its endoreversible modelling and multi-objective optimization

Author

Listed:
  • Xu, Kaiyun
  • Ge, Yanlin
  • Chen, Lingen
  • Feng, Huijun

Abstract

A new model of thermal cycle, modified Diesel cycle, is constructed via isothermal heat addition. Endorebersible modelling is performed considering heat transfer loss. Power (P), efficiency (η), power density (Pd) and ecological function (E) are deduced and evaluated. Characteristic relationships are deduced by using the finite-time thermodynamics theory. Cycle performances under the conditions of the maximum E, the maximum Pd, the maximum η, and the maximum P are compared. Under the same conditions, four performance functions of modified Diesel cycle and traditional Diesel cycle are compared. Based on the algorithm of NSGA-II, taking four performance indictors as the optimization objectives and the compression ratio as the optimization variable, multi-objective optimizations of the modified and traditional Diesel cycles under different objective combinations are carried out. Three decision-making method are used to select a group of optimal solutions. Compared with traditional Diesel cycle, performances P, η, Pd and E of modified Diesel cycle are improved at least by 8.69 %, 0.97 %, 8.23 %, and 8.64 %, respectively. Modified Diesel cycle with Pd and E for two-objective optimization is optimal, and the minimum deviation index is 0.1336, while the traditional Diesel cycle with P, η and Pd for three-objective optimization is optimal, and the minimum deviation index is 0.1339.

Suggested Citation

  • Xu, Kaiyun & Ge, Yanlin & Chen, Lingen & Feng, Huijun, 2024. "A modified Diesel cycle via isothermal heat addition, its endoreversible modelling and multi-objective optimization," Energy, Elsevier, vol. 291(C).
  • Handle: RePEc:eee:energy:v:291:y:2024:i:c:s0360544224000604
    DOI: 10.1016/j.energy.2024.130289
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224000604
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.130289?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 search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huang, Jialuo & Xia, Shaojun & Chen, Lingen, 2024. "Optimal configurations of ammonia decomposition reactor with minimum power consumption and minimum heat transfer rate," Energy, Elsevier, vol. 293(C).

    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:energy:v:291:y:2024:i:c:s0360544224000604. 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/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.