IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v18y1993i8p859-866.html
   My bibliography  Save this article

Uncertainty analysis of heat-exchanger thermal designs using the Monte Carlo simulation technique

Author

Listed:
  • Badar, M.Affan
  • Zubair, Syed M.
  • Sheikh, Anwar K.

Abstract

The Monte Carlo simulation technique for determining uncertainties of the thermal parameters needed in designing heat exchangers is discussed. Parameters such as the outside diameter Do, thickness t and thermal conductivity k are assumed to have Gaussian distributions, while the heat-transfer coefficients hi, and ho are considered to follow normal, log-normal and Weibull forms of distribution. An illustrative example is presented. The overall heat-transfer coefficient U obtained from the simulation is found to have a distribution that is well approximated by the Weibull model. Using the Weibull distribution of U, the additional percentage area is calculated for 80 and 99% confidence levels (CLs). The proposed approach of design analysis incorporates realistic risks associated with uncertainties of the parameters.

Suggested Citation

  • Badar, M.Affan & Zubair, Syed M. & Sheikh, Anwar K., 1993. "Uncertainty analysis of heat-exchanger thermal designs using the Monte Carlo simulation technique," Energy, Elsevier, vol. 18(8), pages 859-866.
    • Handle: RePEc:eee:energy:v:18:y:1993:i:8:p:859-866
    DOI: 10.1016/0360-5442(93)90063-J
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/036054429390063J
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/0360-5442(93)90063-J?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. Cuneo, A. & Zaccaria, V. & Tucker, D. & Traverso, A., 2017. "Probabilistic analysis of a fuel cell degradation model for solid oxide fuel cell and gas turbine hybrid systems," Energy, Elsevier, vol. 141(C), pages 2277-2287.
    2. Sheikh, Anwar K & Zubair, Syed M & Younas, Muhammad & Budair, M.O, 2000. "A risk based heat exchanger analysis subject to fouling," Energy, Elsevier, vol. 25(5), pages 445-461.
    3. Lal, Nathan S. & Atkins, Martin J. & Walmsley, Timothy G. & Walmsley, Michael R.W. & Neale, James R., 2019. "Insightful heat exchanger network retrofit design using Monte Carlo simulation," Energy, Elsevier, vol. 181(C), pages 1129-1141.

    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:eee:energy:v:18:y:1993:i:8:p:859-866. 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.