Real-Time Optimal Stochastic Control of Power Plant River Heating

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 exa...

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Bibliographic Details
Published in:Journal of energy engineering 1993-04, Vol.119 (1), p.1-18
Main Authors: Krajewski, Karol L, Krajewski, Witold F, Holly, Forrest M
Format: Article
Language:English
Subjects:
20 FOSSIL-FUELED POWER PLANTS
200201 - Fossil-Fueled Power Plants- Waste Management- Thermal Effluents
540320 - Environment, Aquatic- Chemicals Monitoring & Transport- (1990-)
AIR POLLUTION CONTROL
Applied sciences
Computer simulation
COMPUTERIZED CONTROL SYSTEMS
CONTROL
CONTROL SYSTEMS
Cooling
COOLING SYSTEMS
Dynamic programming
Energy
Energy. Thermal use of fuels
Environmental protection
ENVIRONMENTAL SCIENCES
Exact sciences and technology
FEEDBACK
Installations for energy generation and conversion: thermal and electrical energy
MATHEMATICAL MODELS
ON-LINE CONTROL SYSTEMS
ON-LINE SYSTEMS
ONCE-THROUGH COOLING SYSTEMS
Optimal control systems
OPTIMIZATION
POLLUTION
POLLUTION CONTROL
POWER PLANTS
REAL TIME SYSTEMS
RIVERS
Stochastic control systems
STOCHASTIC PROCESSES
STREAMS
SURFACE WATERS
TECHNICAL PAPERS
Thermal effluents
THERMAL POLLUTION
Thermal power plants
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Description
Summary: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.
ISSN:0733-9402
0733-9372
1943-7897
1943-7870
DOI:10.1061/(ASCE)0733-9402(1993)119:1(1)