Real‐Time Optimal Stochastic Control of Power Plant River Heating
Publication: Journal of Energy Engineering
Volume 119, Issue 1
Abstract
To meet environmental pollution standards, the operators of industrial plants must include environmental criteria in their operating objectives. This involves dealing with the variability and uncertainty of natural processes, and requires mathematical modeling to quantify operational effects. An example is given in which optimal operation of a once‐through‐cooling power plant is affected by the uncertainty in the hydrometeorological conditions that control the heat exchange between the river water surface and the atmosphere. Real‐time optimal control of the power plant is based on simulations provided by a mathematical model of the river thermal regime. It is demonstrated that optimal results are achieved when correct information is provided on the uncertainty in the forecasts of the hydrometeorological conditions. Example study results are given for the Joliet, Illinois, power station and hydrometeorological data for the drought period of July 1988.
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References
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Fang, W‐T. (1991). “Uncertainty analysis in prediction of river water temperature,” MS thesis, The University of Iowa, Iowa City, Iowa.
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Copyright © 1993 American Society of Civil Engineers.
History
Received: Sep 8, 1992
Published online: Apr 1, 1993
Published in print: Apr 1993
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