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A Hybrid Decomposition Method for Integrating Coal Supply and Demand Models

Author

Listed:
  • Jeremy F. Shapiro

    (Massachusetts Institute of Technology, Cambridge, Massachusetts)

  • David E. White

    (Energy System Research Group, Boston, Massachusetts)

Abstract

A number of large scale models have been proposed and implemented in recent years to study the anticipated expansion of coal production and utilization in the United States. This paper reports on the application of mathematical programming decomposition methods to the constructive integration and optimization of these models. In particular, it was found that an implemented hybrid decomposition approach, part resource directed and part price directed, exhibited fast convergence to an optimal solution.

Suggested Citation

  • Jeremy F. Shapiro & David E. White, 1982. "A Hybrid Decomposition Method for Integrating Coal Supply and Demand Models," Operations Research, INFORMS, vol. 30(5), pages 887-906, October.
    • Handle: RePEc:inm:oropre:v:30:y:1982:i:5:p:887-906
    DOI: 10.1287/opre.30.5.887
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    Cited by:

    1. Meijboom, B.R., 1986. "Planning in decentralized firms : a contribution to the theory on multilevel decisions," Other publications TiSEM 291e5a70-7bb8-4de3-be1f-0, Tilburg University, School of Economics and Management.
    2. Franziska Holz & Clemens Haftendorn & Roman Mendelevitch & Christian von Hirschhausen, 2016. "A Model of the International Steam Coal Market (COALMOD-World)," Data Documentation 85, DIW Berlin, German Institute for Economic Research.
    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.
    4. Suwala, Wojciech, 2008. "Modelling adaptation of the coal industry to sustainability conditions," Energy, Elsevier, vol. 33(7), pages 1015-1026.

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