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Occupant-Centric Building Decarbonization

Key project details

Principal investigator Mohamed Ouf, assistant professor, Building Engineering, Concordia University

Co-principal investigators

Burak Gunay, associate professor, Civil and Environmental Engineering, Carleton University; Liam O’Brien, professor, Civil and Environmental Engineering, Carleton University; Liangzhu Leon Wang, professor and associate director of the Centre for Zero Energy Building Studies, Concordia University; Radu Zmeureanu, professor, Building Engineering, Concordia University 

Research collaborators

Ursula Eicker, Concordia University; Mazdak Nik-Bakht, associate professor, Concordia University; Jenn McArthur, associate professor, Toronto Metropolitan University
Non-academic partners Montréal Pierre Elliott Trudeau International Airport, National Research Council of Canada, Delta Controls
Research Keywords occupant-centric controls, occupant comfort, building electrification, fault detection and diagnostics, indoor air quality, building resilience, living labs
Budget Cash: $280,000 In-Kind: $100,000

Research focus

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. The image shows a software interface with main layers and services listed on the left side, including options for 'Built Environment', 'Transport', 'Energy', 'Waste' and 'Ecosystem'.

Benchmarking occupancy, comfort, energy use and indoor air quality

This phase aims to establish benchmarks for occupancy, comfort, energy use, and indoor air quality and will be broken down into three parts. Part 1 will focus on energy benchmarking through the analysis of sub-metering data and the development of virtual meters for estimating energy flows in the airport. Part 2 will benchmark occupancy and comfort by analyzing spatial and temporal patterns and soliciting occupant feedback. Part 3 will be dedicated to indoor air quality benchmarking using CO2 and other indicators.

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. It features a services menu with options such as 'Building Info', 'Energy Demand' and 'Network Solution'.

Developing occupant-centric control approaches to optimize heating and cooling

This phase centers on optimizing heating and cooling operations. Step one involves occupancy modeling using historical data to predict occupancy patterns. Step two will be proposing adjustments to heating and cooling schedules based on these patterns. Step 3 will build on this by adjusting setpoints preemptively based on forecasted occupancy, enhancing energy efficiency and occupant comfort.

Developing occupant-centric control approaches to optimize ventilation

This phase aims to optimize ventilation operations. Occupancy metrics and CO2 levels will be used to propose changes in ventilation sequences and then we will employ predictive models for preemptive adjustments, ensuring optimal indoor air quality without compromising energy efficiency.

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. It features a services menu with options such as 'Building Info', 'Energy Demand' and 'Network Solution'.

Implementing fault detection and diagnostics

This phase focuses on automating fault detection and diagnostics, starting with analyzing historical data to identify sub-optimal operations and faults within HVAC systems. Then fault detection and diagnostics rule sets will be developed using advanced data mining methods.

Analyzing system level synergies for electrification and resilience

This phase will focus on conducting a feasibility study with a system-level analysis of the airport operations to identify potential synergies between different components and buildings and to develop a transition roadmap for electrification and deep energy retrofits. It also assesses system resilience against extreme weather events, contributing to sustainable and resilient airport operations.

A detailed 3D model visualization of an urban area with various layers indicating different aspects of the built environment. It features a services menu with options such as 'Building Info', 'Energy Demand' and 'Network Solution'.

Measurement, verification and knowledge transfer

The final phase will assess the effectiveness of implemented occupant-centric control (OCC) strategies in reducing energy use and improving comfort and air quality. It leverages benchmarks established in the first phase for measurement and verification. Additionally, this phase includes dissemination activities to share findings with relevant stakeholders across the industry.

Non-academic partners

Thank you to our non-academic partners for your support and trust.

Get in touch with the Volt-Age team

volt-age@concordia.ca

Volt-Age is funded by the Canada First Research Excellence Fund (CFREF)

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