Development of household-level energy-related occupant behaviour models for demand-side management applications<\/strong> (NSERC Alliance with Hydro-Qu\u00e9bec and Concordia University): Develops empirical models of household behaviour to improve the design and effectiveness of utility demand-side management programs.<\/p>\n Occupant-centric demand-side management methods toward smart grid-interactive buildings <\/strong>(NSERC Discovery Grant): Develops building control methods that enable flexible, occupant-aware grid interaction.<\/p>\n Occupant-centric control development for multi-occupant spaces<\/strong> (FRQnet with Concordia University (lead), Universit\u00e9 Laval, University of Waterloo): Develops control strategies that account for heterogeneous comfort preferences in shared indoor environments.<\/p>\n Occupant-centric building decarbonization<\/strong> (CFREF Volt-Age with Concordia University (lead)): Investigates how occupant-aware control can accelerate electrification and emissions reduction.<\/p>\n Occupant-centric control algorithms for mixed-mode buildings in cold climates<\/strong> (NSERC Alliance with National University of Singapore): Develops algorithms coordinating natural ventilation and mechanical systems under cold-climate conditions. [COMPLETE]<\/p>\n Field implementation and assessment of a novel demand-controlled ventilation algorithm for multiple-zone VAV AHU systems<\/strong> (NSERC Alliance with Texas A&M University): Implements and evaluates advanced ventilation control in a real multi-zone VAV system. [COMPLETE]<\/p>\n Implementation of novel occupant-centric control strategies in commercial buildings<\/strong> (NSERC Alliance with BrainBox AI, Concordia University (lead)): Deploys and evaluates occupant-aware control strategies within a commercial control platform. [COMPLETE]<\/p>\n Zone-level demand-controlled ventilation to support post-COVID reopening challenges (NRC Contract):<\/strong> Develops ventilation strategies balancing indoor air quality and energy use. [COMPLETE]<\/p>\n A Wi-Fi-based occupancy sensing, modelling, and simulation method to ensure COVID-19 ventilation and social distancing norms at workplaces (NSERC Alliance with Sensible Building Science and Cisco):<\/strong> Uses Wi-Fi sensing to estimate occupancy and support ventilation and distancing strategies. [COMPLETE]<\/p>\n A unified advanced supervisory control framework for commercial building HVAC systems (NSERC Alliance with Delta Controls & Concordia University):<\/strong> Develops a general supervisory control layer integrating optimization and diagnostics into building automation systems.<\/p>\n Integrating smart energy management solutions into building automation systems (NSERC Alliance with Delta Controls):<\/strong> Embeds advanced analytics and control logic into operational building automation systems. TURBO Building Analytics<\/a><\/p>\n Next-generation fault detection, evaluation, and correction algorithms for HVAC control systems (NSERC Alliance with CopperTree Analytics):<\/strong> Develops scalable algorithms for continuous fault detection and correction.<\/p>\n Development of datasets, inverse models, and methods for adaptive fault detection and diagnostics in commercial buildings (NSERC Discovery Grant):<\/strong> Creates data-driven models and methods for automated fault detection across portfolios.<\/p>\n Advancing data-driven building energy management and optimization methods and tools (NRC Contract):<\/strong> Develops practical analytics and optimization tools for building operators.<\/p>\n Deriving near-optimal control policies for small commercial buildings without a building automation system (NRC Contract):<\/strong> Develops lightweight optimization-based control for buildings without centralized BAS.<\/p>\n Development of data-driven operation and maintenance methods for next-generation DND buildings (NRC Contract):<\/strong> Develops performance analytics for next-generation high-performance buildings.<\/p>\n Surrogate energy models for remote continuous envelope characterization (NRC Contract):<\/strong> Uses surrogate models to infer envelope performance from operational data. [COMPLETE]<\/p>\n Remote auditing of building energy systems through inverse modelling (NRC Contract):<\/strong> Uses inverse models to estimate system performance and identify inefficiencies without site visits. [COMPLETE]<\/p>\nHVAC supervisory control, optimization, and automation<\/h3>\n