Track Description:
Industrial innovation requires the integration of emerging technology with comprehensive approaches to characterize the impact of process modifications, intensification, control strategies and new system designs. This technical track focuses on fundamental and applied research aimed at improving industrial processing systems. Topics include advanced process control, process intensification, process simulation, and process optimization, scaling and design.
Sessions in Track: Industrial Process Analysis and Development
Process and Equipment Design
Organizers:
Adel Al Taweel, Dalhousie University
Jan Haelssig, Dalhousie University
Keynote Speaker:
Céline Vaneeckhaute, Laval University
Keywords: equipment scale-up and scale-down, pilot-scale systems, multiphase flows, computational fluid dynamics (CFD), mixing, particulate processes, discrete element modelling (DEM), industrial reactors, industrial separation processes, unit operations, transport phenomena
Process Intensification
Organizers:
Adel Al Taweel, Dalhousie University
Jan Haelssig, Dalhousie University
Keywords: innovative process technologies, energy efficient processes, process integration, miniaturization, modularization, hybrid processes, transport phenomena, modelling and simulation
Process Simulation and Optimization
Organizer:
Xunyuan Yin, University of Alberta
Keynote Speaker:
Kamil Khan, McMaster University
Special Presentation:
Thomas A. Adams II, McMaster University
Title: Maximizing Our Impact: A call for the standardization of techno-economic analyses for sustainable energy systems design research.
Summary: The CSChE is leading the development of a new ISO standard for how eco-technoeconomic analyses are conducted on chemical and energy process systems. All potential stakeholders (researchers, industrial practitioners, public policy experts, etc) who are interested in learning about, using, or developing the standard are especially encouraged to attend.
Keywords: simulation software, optimization algorithms, optimal design strategies, model development, data science, data analytics, planning and scheduling
Systems and Control
Organizer:
Xunyuan Yin, University of Alberta
Keynote Speakers:
Nicolas Hudon, Queen's University
Christopher Swartz, McMaster University - D.G. Fisher Award
Keywords: statistical process control, statistical methods, linear and non-linear systems, fault detection, real-time monitoring, on-line measurements, data analytics, predictive control
