Grant: Collaborative Research and Development Grants
Queen's University
$76,500.00
Distributed real-time optimization for energy efficiency in uncertain large scale building systems
FY 2021-22
Summary
Smart buildings are a major element of sustainable development in smart cities. Optimal functionality and efficiency of smart building systems are of primary concern in the design of future living and working environments. Energy efficiency, in particular, is the driving force behind many recent developments in the sustainable design and operation of building infrastructures. While the development of alternative energy and hybrid energy platforms can contribute to the overall sustainability of energy sources, the energy utilization patterns of building systems require very close attention. Building operators and developers have identified tremendous opportunities in the design of smart automation and monitoring strategies for building energy systems. A new generation of advanced automation protocols are beginning to enter the market which offer smart building energy efficiency improvements with enhanced operating flexibility.In this project, we develop new technology to minimize energy consumption in building systems. The proposed technology, to be developed in collaboration of an industry leader, Johnson Controls (JCI), has the potential to revolutionize building energy management systems by providing simple distributed optimization algorithms that allow building wide energy consumption reduction using only simple control algorithms. The algorithms are model free and require minimal computing capabilities. They are easy to implement and provide a strong platform for commercial applications. Working closely with the experts at JCI, the project will be aimed at the development of a proof of concept for the proposed technology and its implementation in operating building control systems. The project will provide a unique environment for the training of four graduate students and a post-doctoral fellow. The students will work closely with industry leaders and acquire skills in control systems design and optimization that are highly sought by Canadian companies and 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
543836-2019
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
2021
Competition year année de concours
2019
Award amount
76500
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
Installment
inst:4
Partie
1
Nb partie
4
Application title
Distributed real-time optimization for energy efficiency in uncertain large scale building systems
Keyword
NSERC
Application summary
Smart buildings are a major element of sustainable development in smart cities. Optimal functionality and efficiency of smart building systems are of primary concern in the design of future living and working environments. Energy efficiency, in particular, is the driving force behind many recent developments in the sustainable design and operation of building infrastructures. While the development of alternative energy and hybrid energy platforms can contribute to the overall sustainability of energy sources, the energy utilization patterns of building systems require very close attention. Building operators and developers have identified tremendous opportunities in the design of smart automation and monitoring strategies for building energy systems. A new generation of advanced automation protocols are beginning to enter the market which offer smart building energy efficiency improvements with enhanced operating flexibility.In this project, we develop new technology to minimize energy consumption in building systems. The proposed technology, to be developed in collaboration of an industry leader, Johnson Controls (JCI), has the potential to revolutionize building energy management systems by providing simple distributed optimization algorithms that allow building wide energy consumption reduction using only simple control algorithms. The algorithms are model free and require minimal computing capabilities. They are easy to implement and provide a strong platform for commercial applications. Working closely with the experts at JCI, the project will be aimed at the development of a proof of concept for the proposed technology and its implementation in operating building control systems. The project will provide a unique environment for the training of four graduate students and a post-doctoral fellow. The students will work closely with industry leaders and acquire skills in control systems design and optimization that are highly sought by Canadian companies and manufacturers.
