Praxair Technology, Inc.

Lawrence Megan

William Randy Esposito

Paul F Scharf

David F Lennox

Derin Adebekun

Mark Zhu

Method for controlling the production of one or more liquid products produced by one or more plants, that can be an air separation plant, that has a liquid storage capacity and that consumes electrical power. Linguistic values related to current liquid inventory, a rate of change of liquid inventory, projected demand requirements and projected unit power costs are inputted into a expert system controller having one or more rule sets that apply such input linguistic values to produce output linguistic values that are converted back to an output numerical value of a forecasted differential production rate to be applied during a forecast period. The output numerical value of differential production is added to the current production rate of the plants to obtain a new production rate which is applied during the forecast period.

Method of controlling liquid production utilizing an expert system controller

A method of controlling liquid and gaseous production within a plurality of air separation plants to produce and distribute gaseous and liquid products to a plurality of customers in which the electrical power costs involved in producing gaseous and liquid products is optimized to be at a minimum together with road shipping costs of liquid products by a real time optimization program.

Control of liquid production of air separation plant network

A method of controlling a gas distribution system in which one or more air separation plants supply gaseous oxygen and nitrogen products to pipeline sections. The air separation plants are controlled by supervisory control systems that direct production rates of the gaseous products to be consumed by customers connected to the pipeline sections. The gas distribution system is controlled by a model predictive control system in which empirically determined open loop response models are used to generate open loop responses of the pipeline sections due to changes in customer demands. Optimized closed loop responses in production rate requests to the supervisory control systems are generated by model predictive control techniques.

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East Amherst, NY, United States of America

Lawrence Megan