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Grant: Alliance Grants

Concordia University

$45,000.00

Occupant-centric control for multi-occupant spaces with variable and reduced occupancy

EF 2024-25

Résumé
This project aims to develop occupant-centric control strategies for multi-occupant spaces in response to the evolving norms of reduced and variable occupancy, particularly influenced by the post-COVID-19 flexible work arrangements. It seeks to optimize the operational methods of commercial and institutional buildings, enhancing their adaptability to fluctuating occupancy and individual occupant preferences while minimizing energy consumption. Office occupancy patterns have shifted significantly due to the pandemic, creating an opportunity to rethink conventional control strategies that rely on simplistic assumptions of full or near-full occupancy, and the incorrect notion that all people prefer a fixed set of indoor conditions. To this end, Occupant-centric control (OCC) strategies can improve occupant comfort and energy efficiency by directly measuring occupant preferences, but they traditionally faced many technical limitations. Recent developments in Information and Communication Technologies (ICT) and the possible integration of Personal Comfort Systems (PCS) present further opportunities to address these issues. The project consists of four main objectives: benchmarking energy, occupancy, and occupant comfort; formulating occupant data collection and modeling approaches; developing and testing control sequences to minimize energy use and improve thermal comfort; and quantifying the effect of the control strategies on occupant comfort and energy efficiency. These objectives will be achieved through field implementation in Concordia University's living lab, and validation in similar facilities at other institutions. The project is expected to generate new scientific knowledge in the fields of OCC and Personalized Comfort Systems (PCS), filling existing knowledge gaps and providing evidence to support the adoption of OCC strategies. It has the potential to significantly reduce energy use in commercial buildings, contributing to environmental sustainability. The project also prioritizes equity, diversity, and inclusion (EDI) in its recruitment efforts and aims to have a diverse team of researchers, while carefully considering EDI in research design and execution.
Programme
Alliance Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
586814-2023
Name nom
Ouf, Mohamed MMMA
Department département
Building, Civil and Environmental Engineering
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
45000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
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
2100
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical engineering
Research subject fr
Génie mécanique
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Occupant-centric control for multi-occupant spaces with variable and reduced occupancy
Keywords
building operations; control systems; data mining; internet of things; occupant-centric control; occupant comfort; personal comfort models; personal comfort systems
Application summary
This project aims to develop occupant-centric control strategies for multi-occupant spaces in response to the evolving norms of reduced and variable occupancy, particularly influenced by the post-COVID-19 flexible work arrangements. It seeks to optimize the operational methods of commercial and institutional buildings, enhancing their adaptability to fluctuating occupancy and individual occupant preferences while minimizing energy consumption. Office occupancy patterns have shifted significantly due to the pandemic, creating an opportunity to rethink conventional control strategies that rely on simplistic assumptions of full or near-full occupancy, and the incorrect notion that all people prefer a fixed set of indoor conditions. To this end, Occupant-centric control (OCC) strategies can improve occupant comfort and energy efficiency by directly measuring occupant preferences, but they traditionally faced many technical limitations. Recent developments in Information and Communication Technologies (ICT) and the possible integration of Personal Comfort Systems (PCS) present further opportunities to address these issues. The project consists of four main objectives: benchmarking energy, occupancy, and occupant comfort; formulating occupant data collection and modeling approaches; developing and testing control sequences to minimize energy use and improve thermal comfort; and quantifying the effect of the control strategies on occupant comfort and energy efficiency. These objectives will be achieved through field implementation in Concordia University's living lab, and validation in similar facilities at other institutions. The project is expected to generate new scientific knowledge in the fields of OCC and Personalized Comfort Systems (PCS), filling existing knowledge gaps and providing evidence to support the adoption of OCC strategies. It has the potential to significantly reduce energy use in commercial buildings, contributing to environmental sustainability. The project also prioritizes equity, diversity, and inclusion (EDI) in its recruitment efforts and aims to have a diverse team of researchers, while carefully considering EDI in research design and execution.