Decision Sciences Journal 30(2) Index


Decision Sciences Journal
Volume 30, Number 2
Spring 1999

Optimizing Natural Gas Flows with Linear Programming and Scenarios

John C. Butler
Department of Accounting and MIS, 2100 Neil Avenue, 400 Fisher Hall, The Ohio State University, Columbus, OH 43210, butlerj@cob.ohio-state.edu

James S. Dyer
Management Science and Information Systems Department, CBA 5.202 (B6500), The Graduate School of Business, University of Texas at Austin, Austin, TX 78712, j.dyer@mail.utexas.edu

ABSTRACT
Recently, we developed a linear programming model to aid an electric utility company in evaluating several long-term operating decisions. Variations of this model provide insights into daily operations and valuation of supply contracts. This paper outlines the important characteristics of this class of network models including the usage of a gas storage facility, the use of market forecasts of gas prices, and the accommodation of gas contract structures. In addition, we develop a scenario optimization procedure in which demand forecasts provide scenarios. We also describe ways in which these models were automated to drive a decision support system.

Subject Areas: Linear Programming, Inventory Management, and Utility Applications of Operations Research.

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