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CC-95-127 Multiple Boiler Emissions Optimization Using Neural Networks
Warren Thompson, CITGO, Greg Martin, Pavilion Technologies, Inc.
Format:
Electronic (digital download/no shipping)
Associate Member, International Member, Petrochemical Member, Refining Member -
$0.00
Government, NonMember -
$35.00
Description:
This paper presents an application of neural network technology at Citgo’s Corpus Christi Refinery. Individual neural network emissions models have been implemented on-line for each of eight utilities boilers. By considering the eight boilers together as a single emissions source, environmental compliance can be achieved while optimizing operation. A multi-boiler optimizer has been implemented on-line which uses the predictions from the individual boiler models and adjusts boiler loads to minimize refinery utilities operating costs while meeting demand and achieving environmental compliance.
Product Details:
Product ID: | CC-95-127 |
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Publication Year: | 1995 |