Optimal Operation of a Gogeneration Plant in Consideration of Equipment Startup/Shutdown Cost

Author:

Yokoyama R.1,Ito K.1

Affiliation:

1. Department of Energy Systems Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Sakai, Osaka 599-8531, Japan

Abstract

A rational method of determining the operational strategy of energy supply plants in consideration of equipment startup/shutdown cost is proposed. The operational planning problem is formulated as a large-scale mixed-integer linear programming one, in which on/off status and energy flow rates of equipment are determined so as to minimize the sum of energy supply and startup/shutdown costs over the period considered. By utilizing a special structure of the problem, an algorithm of solving the problem efficiently is proposed. Through a numerical study on the daily operational planning of a gas turbine cogeneration plant for district heating and cooling, the effectiveness of the proposed algorithm, is ascertained in terms of computation time, and the influence of equipment startup/shutdown cost on the operational strategy and cost is clarified.

Publisher

ASME International

Subject

Geochemistry and Petrology,Mechanical Engineering,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference5 articles.

1. Angle, E., and Bellman, R., 1972, Dynamic Programming and Partial Differential Equations, Academic Press, New York, NY.

2. Garfinkel, R. S., and Nemhauser, G. L., 1972, Integer Programming, John Wiley & Sons, New York, NY.

3. Ito K. , YokoyamaR., AkagiS., and MatsumotoY., 1990, “Influence of Fuel Cost on the Operation of a Gas Turbine-Waste Heat Boiler Cogeneration Plant,” ASME Journal of Engineering for Gas Turbines and Power, Vol. 112, pp. 122–128.

4. Iyer, R. R., and Grossmann, I. E., 1995, “Optimal Multiperiod Operational Planning for Utility Systems,” Report No. EDRC 06-212-95, Carnegie Mellon University, Pittsburgh, PA.

5. Yokoyama, R., and Ito, K., 1993, “Acquisition of Operational Knowledge of an Industrial Gas Turbine Cogeneration Plant by Optimization,” Paper No. 93-GT-82.

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