Process Control

Optimal operation of batch processes with mixed energy integration

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Proposing Faculty
Research Area
  • Energy Integration
  • Modelling
  • Optimisation
  • Process Control

Integrated design and control of mixed energy integration

Mixed (combined direct and indirect integration) is an optimal way of designing energy-integrated batch process systems. While such configurations propose the maximum energy savings, these benefits can only be practical if such systems are robust to typical disturbances encountered by batch processes. This project aims to target this issue by considering an integrated design and control approach wherein operational considerations are incorporated right during the design stage. The resulting designs can therefore provide a good trade-off between economic benefits and ease of operation.  read more »

Proposing Faculty
Research Area
  • Energy Integration
  • Modelling
  • Optimisation
  • Process Control

Distributed control of integrated networks

Integrated network involving material recycle and energy integration are ubiquitous in chemical industries. Such networks are difficult to operate and control due to strong coupling between integrated process units. Traditional advanced controllers (like SISO PIDs) are not sufficient to achieve optimal operation. Distributed control architecture has emerged as an attractive option for such networks.   read more »

Proposing Faculty
Research Area
  • Modelling
  • Optimisation
  • Process Control

A general purpose dynamic process simulator

Process simulators are indispensable for the modern chemical industry.  For small and medium enterprises and also for new startups in the general area of chemicals and refining, simulation is an important mechanism to increase profits and to remain competitive.  As most small companies carry out their processing through batch operations, dynamic simulation capability is very important.  A general purpose open source dynamic process simulator has the potential to improve the employment potential of chemical engineering graduates.  read more »

Proposing Faculty
Research Area
  • Identification
  • Modelling
  • Optimisation
  • Process Control
  • Process Safety Analysis
Sujit S Jogwar
Dr. S Ganeshan
Yogendra Shastri

SC 620 Automation and Feedback Control

Basic concepts and techniques, tuning procedures, special feedback
techniques, direct synthesis and adaptive control, decoupling and
feed-forward methods, various multiple loop feedback control strategies
widely used in industries, such as cascade, ratio, split-range,
selective, feedforward compensation, sensors and actuators, basics of
industrial automation systems: PLCs and Distributed control systems
(DCS), their features and applications.

Gas Chromatography Mass Spectrometer DSQ II

DSQ II.jpg

GC-MS is a powerful analytical technique for separation, identification and quantification of volatile organic and inorganic compounds in a solvent mixture. It is an elegant interfaced instrument, in which the Gas chromatography (GC) first separates the components of a mixture and then the coupled Mass spectrometer (MS) characterizes each of the separated components individually. The components are separated based on their relative affinity or retention time of the individual compounds.  read more »

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