Research Projects
Adsorption processes
Adsorptive separation is a crucial technique utilized in many fields, such as CO₂ recovery, pharmaceuticals, and food processing. Our research group applies process systems engineering techniques to adsorption processes for modeling, design, and optimization. We also operate experimental setups to obtain data in-house, thereby streamlining the development of adsorption processes.
Recent topic include:
- Optimal design of adsorption and chromatographic separation processes
- Modeling, design and economic evaluation of CO2 separation processes
- Design and optimization of direct air capture (DAC) processes
- Simulated moving bed chromatography
- Bayesian estimation for adsorption equilibria and processes
Data utilization and uncertainty quantification
Recent advances in data science are transforming approaches to chemical process development. In our research group, we analyze experimental and operational data to develop highly predictive and reliable models. We also address process optimization using these models.
Recent topics include:
- Design of processes with uncertainties
- Advanced simulation by statistical methods
- Design making for processes with uncertainty
- Optimization approaches and its application
.jpg)
Simulated moving bed chromatography.jpg)
High performance liquid chromatography
Breakthrough gas adsorption test unit (Dr. Fujiki)