Advanced/Robust Optimal Process Control

    Linear model-based control techniques are developed and implemented to ensure the advanced operation of pilot-scale process facilities, while optimizing nominal and transient process performance without violating operating constraints. This is achieved by combining state-of-the-art modelling and optimization languages with modern control system architecture for total process monitoring and control.


    Additionally, the PSE group actively researches into non-linear large-scale model-based control of complex systems in an attempt to increase the relevance of non-trivial control technologies that drive operational constraints to an optimal state of process safety, environmental-friendliness and profitability. The recent studied systems include crystallization and polymerization processes.

Process Design & Optimal Operation

    The continual emphasis on energy saving and environmental protection has driven process systems engineers, including design and operations engineers, to involve a number of crucial steps in developing a design of a chemical process. Process design teams are required to integrate their designed processes to satisfy economical, environmental and social objectives, while at the same time maintaining the process within a satisfactory operational performance.


    The PSE group aims to develop an overall integrated approach allowing all relevant objectives to be formulated and accounted for during the design/retrofit stages of a processing plant. We focus on developing a general framework for such a methodology that incorporates economical, environmental and operational performances for assessing various levels of process integration for a given process.

Geaux Alumni