IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v133y2017icp1035-1049.html
   My bibliography  Save this article

A real-time capable mixing controlled combustion model for highly diluted conditions

Author

Listed:
  • Dowell, P.G.
  • Akehurst, S.
  • Burke, R.D.

Abstract

A new real-time capable heat release rate model is presented that captures the high dilution effects of exhaust gas recirculation (EGR). The model is a Mixing Controlled Combustion type with enhancements to account for wall impingements, pilot injections, charge dilution caused by EGR at part load. The model was parameterised in two steps using a small set of measured data: the majority of model parameters were identified without EGR before identifying additional EGR related constants. The model performance was assessed based on key metrics: start of combustion; peak heat release and point of peak heat release and cylinder pressure. The model was evaluated over the full engine speed, load and EGR operating envelope and cylinder pressure metrics were predicted with R2 values above 0.94. With EGR, the model was able to predict qualitatively and quantitatively the performance whilst being parameterised by only by a small dataset. The model can be used to enable the engineering of robust new control algorithms and controller hardware for future engines using offline processes.

Suggested Citation

  • Dowell, P.G. & Akehurst, S. & Burke, R.D., 2017. "A real-time capable mixing controlled combustion model for highly diluted conditions," Energy, Elsevier, vol. 133(C), pages 1035-1049.
  • Handle: RePEc:eee:energy:v:133:y:2017:i:c:p:1035-1049
    DOI: 10.1016/j.energy.2017.05.171
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421730960X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2017.05.171?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. Zhaojie Shen & Wenzheng Cui & Xiaodong Ju & Zhongchang Liu & Shaohua Wu & Jianguo Yang, 2018. "Numerical Investigation on Effects of Assigned EGR Stratification on a Heavy Duty Diesel Engine with Two-Stage Fuel Injection," Energies, MDPI, vol. 11(3), pages 1-14, February.
    2. Yongming Feng & Haiyan Wang & Ruifeng Gao & Yuanqing Zhu, 2019. "A Zero-Dimensional Mixing Controlled Combustion Model for Real Time Performance Simulation of Marine Two-Stroke Diesel Engines," Energies, MDPI, vol. 12(10), pages 1-19, May.

    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:133:y:2017:i:c:p:1035-1049. 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.