IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5268314.html
   My bibliography  Save this article

Emission and Performance Optimization of Marine Four-Stroke Dual-Fuel Engine Based on Response Surface Methodology

Author

Listed:
  • Huaiyu Wang
  • Huibing Gan
  • Guanjie Wang
  • Guoqiang Zhong

Abstract

As the emissions regulations have become more stringent, reducing NO X emissions is of great importance to the shipping industry. Due to the price and emissions advantages of natural gas, the diesel-natural gas engines have become an attractive solution for engine manufacturers. Firstly, in this paper, the NO X emissions prediction model of a large marine four-stroke dual-fuel engine is built by using AVL-BOOST. In addition, the model is further calibrated to calculate the performance and emissions of the engine. Then, the influences of boost pressure, compression ratio, and the timing of intake valve closing on engine performance and emissions are analyzed. Finally, the response surface methodology is used to optimize the emissions and performance to obtain the optimal setting parameters of the engine. The results indicate that the response surface method is a highly desirable optimization method, which can save a lot of repeated research. Compared with the results from manufactured data, the power is increased by 0.55% and the BSFC, the NO X emissions, and the peak combustion pressure are decreased by 0.60%, 13.21%, and 1.51%, respectively, at low load.

Suggested Citation

  • Huaiyu Wang & Huibing Gan & Guanjie Wang & Guoqiang Zhong, 2020. "Emission and Performance Optimization of Marine Four-Stroke Dual-Fuel Engine Based on Response Surface Methodology," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-9, January.
  • Handle: RePEc:hin:jnlmpe:5268314
    DOI: 10.1155/2020/5268314
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2020/5268314.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2020/5268314.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2020/5268314?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
    ---><---

    Citations

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


    Cited by:

    1. Siniša Martinić-Cezar & Zdeslav Jurić & Nur Assani & Branko Lalić, 2024. "Optimization of Fuel Consumption by Controlling the Load Distribution between Engines in an LNG Ship Electric Propulsion Plant," Energies, MDPI, vol. 17(15), pages 1-21, July.

    More about this item

    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:hin:jnlmpe:5268314. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.