IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v29y1981i6p1137-1153.html
   My bibliography  Save this article

Supply-Demand Decomposition of the National Coal Model

Author

Listed:
  • Michael H. Wagner

    (ICF Incorporated, Washington, D.C)

Abstract

The National Coal Model is a highly disaggregate model of domestic coal supply and demand markets. The model has been extensively and successfully applied, but its linear programming component is computationally burdensome. In this paper we report computational results from experiments to reduce solution time through decomposition. The model is decomposed into two capacitated pure networks: a supply side, whose units of flow are Btus of coal; and a demand side, whose units of flow are megawatts of electrical generation capacity. The method used for integrating these components is a market equilibration (“cobweb”) algorithm. The mechanism is not generally convergent, but it produces an excellent starting basis for completion by standard linear programming methods. Order of magnitude solution time reductions have been achieved by the combined procedure. A new decomposition algorithm for linear programs is presented. The method is motivated by the present application, but has not been implemented.

Suggested Citation

  • Michael H. Wagner, 1981. "Supply-Demand Decomposition of the National Coal Model," Operations Research, INFORMS, vol. 29(6), pages 1137-1153, December.
    • Handle: RePEc:inm:oropre:v:29:y:1981:i:6:p:1137-1153
    DOI: 10.1287/opre.29.6.1137
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.29.6.1137
    Download Restriction: no
    File URL: https://libkey.io/10.1287/opre.29.6.1137?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. Wadhwa, Hitendra K. S. (Hitendra Kumar Singh) & Freund, Robert Michael., 1992. "Implementation and combined empirical study of combined Phase I-Phase II potential reduction algorithm for linear programming," Working papers 3411-92., Massachusetts Institute of Technology (MIT), Sloan School of Management.
    2. W. Chung & J. Fuller & Y. Wu, 2003. "A New Demand-Supply Decomposition Method for a Class of Economic Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 21(3), pages 231-243, June.
    3. Boucher, Jacqueline & Smeers, Yves, 1985. "Programmation mathématique et modélisation énergétique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 61(1), pages 24-50, mars.

    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:inm:oropre:v:29:y:1981:i:6:p:1137-1153. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.