IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v245y2025ics0960148125004811.html
   My bibliography  Save this article

Optimization of the low-load performance and emission characteristics for a heavy-duty diesel engine fueled with diesel/methanol by RSM-NSWOA

Author

Listed:
  • Pan, Xiubin
  • Guan, Wei
  • Gu, Jinkai
  • Wang, Xinyan
  • Zhao, Hua

Abstract

In this paper, the renewable energy, methanol, used as alternative fuel for diesel engine was systematically investigated under low load. The effect of different methanol fractions (MF) on diesel-methanol dual-fuel (DMDF) combustion, emission and performance is explored. Results shows that the net indicated efficiency (NIE) of DMDF is 2.4 % higher than that of conventional diesel combustion (CDC) when the MF increased to 60 %, although the combustion efficiency is decreased. The higher MF can also produce less NOX and smoke with higher HC and CO emissions. Then, exhaust gas recirculation (EGR) was added to further optimize the DMDF operation under MF of 60 %. A comparison analysis shows that the DMDF with 26 % EGR improve the NIE and NOX emission by 3.5 % and 87 %, respectively compared to CDC. Finally, the NOX, BSFC and combustion efficiency of DMDF were further optimized based on response surface method (RSM) and non-dominated sorting whale optimization algorithm (NSWOA). It is found that there is a strong trade-off among them. In order to obtain lower NOX emissions and BSFC simultaneously, the combustion efficiency has to be compromised. Finally, the NOX and BSFC of optimized DMDF are reduced by 53.42 %, 5.37 % respectively when compared to the previous experimental results.

Suggested Citation

  • Pan, Xiubin & Guan, Wei & Gu, Jinkai & Wang, Xinyan & Zhao, Hua, 2025. "Optimization of the low-load performance and emission characteristics for a heavy-duty diesel engine fueled with diesel/methanol by RSM-NSWOA," Renewable Energy, Elsevier, vol. 245(C).
  • Handle: RePEc:eee:renene:v:245:y:2025:i:c:s0960148125004811
    DOI: 10.1016/j.renene.2025.122819
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125004811
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.122819?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.

    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:245:y:2025:i:c:s0960148125004811. 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.