Journal article
Real-Time Optimal Stochastic Control of Power Plant River Heating
Journal of energy engineering, Vol.119(1), pp.1-18
04/1993
DOI: 10.1061/(ASCE)0733-9402(1993)119:1(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.
Details
- Title: Subtitle
- Real-Time Optimal Stochastic Control of Power Plant River Heating
- Creators
- Karol L Krajewski - University of WarsawWitold F Krajewski - University of IowaForrest M Holly - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of energy engineering, Vol.119(1), pp.1-18
- Publisher
- American Society of Civil Engineers
- DOI
- 10.1061/(ASCE)0733-9402(1993)119:1(1)
- ISSN
- 0733-9402
- eISSN
- 1943-7897
- Language
- English
- Date published
- 04/1993
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9984197360102771
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