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Research Theme​

The research theme for Chemical Engineering Process Intensification (PI) typically revolves around enhancing the efficiency, sustainability, and economics of chemical processes. Collaborating with industry to apply process intensification principles to real-world processes, addressing specific challenges and improving overall process performance are indispensable. These themes aim to push the boundaries of traditional chemical engineering to develop more efficient, sustainable, and economically viable processes. Key areas of research might include:

  1. Innovative Process Design: Developing new process designs that significantly improve energy efficiency, reduce waste, and lower costs compared to traditional methods.
  2. Advanced Materials: Exploring new materials, such as catalysts, adsorbents, and membranes, that can enhance reaction rates, selectivity, and separation processes.
  3. Integration and Intensification: Combining multiple unit operations into single, more compact systems to improve process efficiency and reduce footprint.
  4. Sustainable Processes: Designing processes that minimize environmental impact by reducing emissions, utilizing renewable resources, and promoting circular economy principles.
  5. Energy Efficiency: Enhancing the energy efficiency of chemical processes through innovative heat integration, energy recovery systems, and alternative energy sources.
  6. Modelling and Simulation: Using advanced computational tools and models to simulate and optimize process performance, enabling the design of more efficient and robust processes.
  7. Process Control and Automation: Developing advanced control strategies and automation techniques to improve process stability, safety, and performance.
  8. Microreactors and Microfluidics: Investigating the use of microreactors and microfluidic devices for intensified chemical processing, allowing for better control and efficiency at small scales.
  9. Process Safety and Risk Management: Enhancing the safety and reliability of chemical processes through improved design, monitoring, and control strategies.