IDEAS home Printed from https://ideas.repec.org/a/ids/ijmore/v21y2022i4p554-567.html
   My bibliography  Save this article

Development of a polynomial model for power prediction of miniature neutron source reactors

Author

Listed:
  • Ahmed R. Abubakar
  • Hamisu A. Adamu
  • Asuku Abdulsamad
  • Yusuf A. Sha'aban

Abstract

This paper presents the development of a second-order polynomial model for the prediction of power of a typical miniature neutron source reactor (MNSR). Using the least-squares method, the model coefficients were generated from thermal power and reactor core coolant temperature as dependent and independent variables, respectively. Operational data were collected at 1-minute intervals, for a total of 100 minutes each for 6.20 kW, 15.50 kW, and 31.0 kW. The mean absolute deviation (MAD) obtained during validation using the developed model (QModel), at 6.2 kW, 12.4 kW, 15.5 kW, 18.6 kW, 24.8 kW and 31 kW were: 0.51, 0.25, 0.38, 0.29, 0.44, and 0.50 respectively while the corresponding results from earlier work were 3.03, 3.36, 3.49, 2.24, 1.24, and 5.71. The QModel gave a better power prediction with an error deviation of less than ±5%.

Suggested Citation

  • Ahmed R. Abubakar & Hamisu A. Adamu & Asuku Abdulsamad & Yusuf A. Sha'aban, 2022. "Development of a polynomial model for power prediction of miniature neutron source reactors," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 21(4), pages 554-567.
    • Handle: RePEc:ids:ijmore:v:21:y:2022:i:4:p:554-567
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=122807
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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:ids:ijmore:v:21:y:2022:i:4:p:554-567. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=320 .

    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.