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Extra info for Advanced Process Control and Information Systems 2005
Model-Based Control of a Delayed Coker Unit Improves Profitability,” AIChE, November 1992 (Arco Products Company, Carson, California); “Upgrade of Predictive Multivariable Control for a Delayed Coker,” Petroleum Technology Quarterly, Winter 1997/98. Licensor. Aspen Technology, Inc. Strategy. A single DMCplus full scope controller is applied to the furnaces and coke drums, main fractionator and gas plant. This controller minimizes impact on product qualities by adjusting all significant operating variables simultaneously in response to drum events.
Features. Closes the gap between steady-state optimization and dynamic plant operations Maintains existing distributed control system interlocks and safeguards Predicts and controls plant dynamic behavior using model-based control software. Real-time—supervisory mode. GE configures the MVC software based on facility operating data and requirements, equipment-specific data, plant control configuration and power purchase agreements to: • Implement automatically the optimum operating points calcu- lated by the EfficiencyMap’s optimizer software • Correct automatically and continuously the steady-state optimal operating point for real-time process variations • Monitor and maintain operations within measured environmental and operating constraints such as NOX • Predict effects of measured disturbances to the plant and take corrective action before the plant is affected • Maintain stability and safety by significantly reducing process variations • Schedule different power contracts • Control power sold/purchased at the tie-line precisely in either Continued block (MWh) or instantaneous (MW) modes Cogeneration plant, continued • Ensure that generating schedules are met and imbalances mini- mized.
Being able to control operation of a unit such as a CRU to achieve objectives normally measured by laboratory measurements allows maximizing quantity and quality of high-value aromatic product streams and also production of customized blending components designed to allow the final blend to be closer to specification limits with reduced quality give-away. Dependency on online analyzers is reduced. They provide useful process measurements if available but, if unavailable, laboratory measurements from the past can be used instead.
Advanced Process Control and Information Systems 2005