Control structures for optimization: examples from chemical industry

Optimization model for long range planning in the chemical industry

This paper presents a multiperiod MILP model for the optimal selection and expansion of processes given time varying forecasts for the demands and prices of chemicals. To reduce the computational expense of solving these long range planning problems, several strategies are investigated which include the use of integer cuts, strong cutting planes, Benders decomposition and heuristics. These proc...

Control of Pollution in the Chemical Industry

Chemical dosing for sulfide control in Australia: An industry survey.

Controlling sulfide (H(2)S) production and emission in sewer systems is critical due to the corrosion and malodour problems that sulfide causes. Chemical dosing is one of the most commonly used measures to mitigate these problems. Many chemicals have been reported to be effective for sulfide control, but the extent of success varies between chemicals and is also dependent on how they are applie...

Measurement-based Optimization in the Batch Chemical Industry

The optimal operation of batch processes has attracted more attention in recent years since, in the face of growing competition, it is a natural choice for reducing production costs, improving product quality, and meeting safety requirements and environmental regulations. Since the models currently available in industry are poor and carry a large amount of uncertainty, standard model-based opti...

Optimization Opportunities in Process Control for Industry/university Research

The Measurement and Control Engineering Center (MCEC), a National Science Foundation Industry/University Cooperative Research Center (I/UCRC), is a cooperative venture among Oklahoma State University, The University of Tennessee, Oak Ridge National Laboratory, the National Science Foundation, and numerous industrial partners. Current research efforts include two projects where opportunities for...