Systems & Control
Industrial Applications in Process Systems Engineering
Session Organizer:
Ajay Ray, University of Saskatchewan
Ali Elkamel, University of Waterloo
Kim McAuley, Queen’s University
Methods, applications, and challenges regarding the industrial application of PSE principles, relating to design, control, optimization, operation, simulation, planning, scheduling, or other core PSE areas. Industrial contributions and academic-industrial collaborative research are especially encouraged.
Data Driven Analytics, Control, and Optimization
Session Organizers:
Carl Duchesne, Université Laval
Moncef Chioua, Polytechnique Montréal
Qinqin Zhu, University of Waterloo
Data-driven approaches and applications to industrial fault detection and diagnosis, process monitoring, control loop performance monitoring, product quality monitoring, process control and process optimization. The approaches include multivariate statistical methods, causality-based methods or any data-driven approach that does not fall into artificial intelligence or machine learning categories.
Artificial Intelligence and Machine Learning in Process Systems Engineering
Session Organizer:
Simant Upreti, Ryerson University
Martin Guay, Queen’s University
Bhushan Gopulani, University of British Columbia
Artificial Intelligence (AI) and Machine Learning (ML) as a part of PSE methodology. Submissions can focus on the AI or ML techniques and algorithms, or their implementations in PSE. These may include model development, digital twins, operator training, control, simulation, optimization, or others.
Process Systems Engineering for Energy and the Environment
Session Organizer:
Xiang Li, Queen’s University
Luis Ricardez-Sandoval, University of Waterloo
Jamie Rose, McMaster University
This session aims to present advances in the design, operations management, control, storage, distribution, planning, scheduling, optimization, and sustainability of conventional and emerging energy systems. Topics relevant to this session include, but not limited to: energy conversion, power generation under near-zero emissions, renewable energy systems, process integration strategies for sustainable development, heat recovery, energy storage, production of valuable chemicals and fuels from coal-fired systems or biomass sources (e.g., biorefineries), and CO2 capture, storage, management and utilization.
Methodologies and Fundamentals in Process Systems Engineering
Session Organizer:
Nicolas Hudon, Queen’s University
Fundamentals of PSE methodologies in modelling, analysis, numerical simulation, design, optimization, and control of chemical process systems and other non-specific areas of applications for PSE theory and methods.
