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A Nonlinear Heuristic Short-Term Model for Hydroelectric Energy Production: The Case of the Hazbani-Dan Water System

Author

Listed:
  • Gad Rabinowitz

    (Department of Administrative Sciences, Kent State University, Kent, Ohio 44242)

  • Abraham Mehrez

    (Department of Industrial Engineering & Management, Ben-Gurion University, Beer Sheva, Israel)

  • Avi Rabina

    (Department of Industrial Engineering & Management, Ben-Gurion University, Beer Sheva, Israel)

Abstract

A two-stage decision and control model for the operation of the power station in the Hazbani-Dan Water System (Israel) was developed and implemented. In this system, river water is stored and then either consumed by agricultural farms or released to a hydroelectric power station. Under management policy, agricultural consumption is taken as a constraint. The problem was solved via a two-stage procedure consisting of a long-term model (LTM) and a short-term model (STM). The LTM was presented by Rabinowitz et al. (1988). This paper reports on the development and analysis of the STM, in which operational flexibilities of the power station are taken into consideration, thereby improving the LTM solution. Our main contributions are aimed at: (1) describing the (nontraditional) systematic thinking process which transformed the mathematically expressed problem into an efficiently solvable model; (2) presenting the analysis of the model; and (3) reporting on a practical application of the model in a unique system.

Suggested Citation

  • Gad Rabinowitz & Abraham Mehrez & Avi Rabina, 1992. "A Nonlinear Heuristic Short-Term Model for Hydroelectric Energy Production: The Case of the Hazbani-Dan Water System," Management Science, INFORMS, vol. 38(3), pages 419-438, March.
    • Handle: RePEc:inm:ormnsc:v:38:y:1992:i:3:p:419-438
    DOI: 10.1287/mnsc.38.3.419
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    Cited by:

    1. Hypolite, Gautier & Boutin, Olivier & Sole, Sandrine Del & Cloarec, Jean-François & Ferrasse, Jean-Henry, 2023. "Evaluation of a water network’s energy potential in dynamic operation," Energy, Elsevier, vol. 271(C).

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