IDEAS home Printed from https://ideas.repec.org/a/taf/nmcmxx/v22y2016i6p584-612.html
   My bibliography  Save this article

Architecture of model libraries for modelling turbocharged diesel engines

Author

Listed:
  • K. K. Yum
  • E. Pedersen

Abstract

Turbocharged diesel engines are complex engineering systems, which have a wide range of applications. Numerical simulations of the engine system for its performance, fuel economy and emissions offer affordable possibilities to improve the engine system itself and, furthermore, to optimize a larger system, such as a power plant and a marine propulsion system. As the simulation models of the diesel engines are used in a wide range of contexts, a library-based modelling approach provides benefits of making a modelling process and maintenance of the existing models easier. The model library should not be just a catalogue of the models but has to provide a solid model structure on different levels of abstraction and, therefore, guide the modeller to make appropriate decisions in a step-by-step manner at each level. Such a model structure consists of a technical component level, a physical concept level and a mathematical level. In this paper, application of the model structure to build a library for modelling turbocharged diesel engines is presented. For each level, a general framework is explained with practical examples. Finally, a procedure for building an engine system simulation model is demonstrated using a specific diesel engine model.

Suggested Citation

  • K. K. Yum & E. Pedersen, 2016. "Architecture of model libraries for modelling turbocharged diesel engines," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 22(6), pages 584-612, November.
  • Handle: RePEc:taf:nmcmxx:v:22:y:2016:i:6:p:584-612
    DOI: 10.1080/13873954.2016.1204324
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13873954.2016.1204324
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13873954.2016.1204324?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. Tavakoli, Sadi & Saettone, Simone & Steen, Sverre & Andersen, Poul & Schramm, Jesper & Pedersen, Eilif, 2020. "Modeling and analysis of performance and emissions of marine lean-burn natural gas engine propulsion in waves," Applied Energy, Elsevier, vol. 279(C).
    2. Huang, Lin & Cheng, Gang & Zhu, Guoqing & Li, Dongliang, 2018. "Development of a bond graph based model library for turbocharged diesel engines," Energy, Elsevier, vol. 148(C), pages 728-743.

    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:taf:nmcmxx:v:22:y:2016:i:6:p:584-612. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/NMCM20 .

    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.