Grant: Collaborative Research and Development Grants
Queen's University
$64,243.00
Real-time optimization for performance and efficiency in manufacturing systems
FY 2014-15
Summary
Global market pressures have had a dramatic impact on the management and operation of manufacturing systems. The increasing frequency of market and energy cost fluctuations has caused a drastic change in the way that manufacturing sites must be managed and operated. Many Canadian companies are spending a considerable effort to integrate science and technology in an attempt to synthesize new strategies for offering competitive services and products for a dynamic world market. These changes in operating culture have led to an emphasis on the design of flexible integrated manufacturing strategies. The objective of the proposed research is to develop innovative process control and optimization techniques that provide maximum profitability in safe, environmentally-friendly and flexible manufacturing environments. Real-time optimization (RTO) is an established process optimization technology that has received wide acceptance in the process industries. Despite its relative success, RTO remains inherently limited to the solution of well characterized processes that are amenable to steady-state optimization. Within this program, we develop new RTO design technologies for process operated with limited information available and that are subject to substantial dynamic variations. The research project also considers the application of RTO in large-scale systems. Using recent advances in the area of distributed and decentralized control, new techniques that rely on the simultaneous solution of smaller manageable subproblems are developed for the design of large-scale RTO systems. Performed in collaboration with leading industrial partcipants, Praxair Inc, Suncor Energy and Johnson Controls, the research project provides new technologies that address industrially relevant problems that can benefit Canadian companies and manufacturers. Three graduate students and a postdoctoral fellow will be trained within the course of this project. They will develop a high level of expertise in optimization and control. The collaboration with the industrial partners will provide the students a unique training experience in strategic areas that highly valued by Canadian manufacturers.
Program
Collaborative Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
470659-2014
Name nom
Guay, Martin
Department département
Chemical Engineering
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2014
Award amount
64243
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
306
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy efficiency
Area of application fr
Efficacité énergétique
Research subject code
1800
Research subject group en
Chemical engineering
Research subject group fr
Génie chimique
Research subject en
Chemical engineering
Research subject fr
Génie chimique
Partie
1
Nb partie
2
Application title
Real-time optimization for performance and efficiency in manufacturing systems
Keyword
NSERC
Application summary
Global market pressures have had a dramatic impact on the management and operation of manufacturing systems. The increasing frequency of market and energy cost fluctuations has caused a drastic change in the way that manufacturing sites must be managed and operated. Many Canadian companies are spending a considerable effort to integrate science and technology in an attempt to synthesize new strategies for offering competitive services and products for a dynamic world market. These changes in operating culture have led to an emphasis on the design of flexible integrated manufacturing strategies. The objective of the proposed research is to develop innovative process control and optimization techniques that provide maximum profitability in safe, environmentally-friendly and flexible manufacturing environments. Real-time optimization (RTO) is an established process optimization technology that has received wide acceptance in the process industries. Despite its relative success, RTO remains inherently limited to the solution of well characterized processes that are amenable to steady-state optimization. Within this program, we develop new RTO design technologies for process operated with limited information available and that are subject to substantial dynamic variations. The research project also considers the application of RTO in large-scale systems. Using recent advances in the area of distributed and decentralized control, new techniques that rely on the simultaneous solution of smaller manageable subproblems are developed for the design of large-scale RTO systems. Performed in collaboration with leading industrial partcipants, Praxair Inc, Suncor Energy and Johnson Controls, the research project provides new technologies that address industrially relevant problems that can benefit Canadian companies and manufacturers. Three graduate students and a postdoctoral fellow will be trained within the course of this project. They will develop a high level of expertise in optimization and control. The collaboration with the industrial partners will provide the students a unique training experience in strategic areas that highly valued by Canadian manufacturers.