Research
Research areas of the Process Systems and Simulation Laboratory (PSSL).
The Process Systems and Simulation Laboratory (PSSL) conducts research at the intersection of chemical process systems engineering, advanced simulation, and artificial intelligence. Our goal is to support the design, analysis, and operation of sustainable process systems through rigorous modeling, optimization, and data-driven decision-making.
Research Areas
Process Modeling and Simulation
We develop steady-state and dynamic process models to analyze complex chemical and energy systems. Our work covers process design, separation processes, energy integration, and simulation-based evaluation for industrially relevant systems.
Optimization and AI for Process Systems
We integrate mathematical optimization, machine learning, and reinforcement learning with process simulation to improve process design and operational decision-making. This includes simulation-based optimization, surrogate modeling, and AI-assisted workflows for exploring complex design spaces.
Sustainable Energy, Carbon Utilization, and Techno-Economic Assessment
We investigate sustainable process pathways for low-carbon energy and chemical production, including LNG-related systems, hydrogen processes, carbon capture and utilization, and electrochemical CO2 conversion. Techno-economic analysis and life-cycle assessment are used to evaluate the feasibility and environmental impact of emerging technologies.
Research Themes
- Advanced process simulation and dynamic analysis
- AI-integrated process optimization and decision support
- Carbon capture, utilization, and electrochemical CO2 conversion
- LNG, hydrogen, and sustainable energy systems
- Separation process design and analysis
- Techno-economic analysis and life-cycle assessment