Reference number : GC-2017-Q1-00405, amendment number : , agreement type : G, recipient legal name : Fung, Alan (Ryerson University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : In many regions of North America, natural gas is typically used for space heating via a furnace/boiler while_x000D_
electricity is used for space cooling via a central air-conditioner or heat pump. Due to increased demands for_x000D_
summer cooling and advancements in air source heat pump (ASHP) technologies, builders of residential homes_x000D_
are adopting ASHP as the main heating, ventilation and cooling (HVAC) system. However, ASHP capacity_x000D_
and efficiency drops with lower outdoor temperatures, typical in Canada, thus requiring a backup heating_x000D_
system, be it electric or otherwise. This trend has increased strain on the aging electrical grid, increases overall_x000D_
energy costs, and has associated environmental impact, particularly during peak demand periods. To mitigate_x000D_
these issues, Ecobee and Ryerson University are collaborating to develop a smart HVAC controller that can be_x000D_
implemented and deployed in residential homes within Ecobee's smart thermostats to optimally decide whether_x000D_
an electrically driven ASHP or a natural gas furnace/boiler should be used on a real-time basis, utilizing_x000D_
temporal information on equipment efficiencies, energy pricing, and short-term weather forecasts. This system_x000D_
could also be linked to the local utility's demand response (DR) system for full integration and participation_x000D_
with local smart grid infrastructure, thus, offering even greater flexibility and benefit to both home owners and_x000D_
utilities. The expected smart predictive residential HVAC control system will offer a user friendly cost saving_x000D_
opportunity to home owners. If the controller were widely deployed and aggregrated, it could potentially_x000D_
provide a cost effective and ubiquitous mechanism, as a dispatchable load, for utilities (both electric and_x000D_
natural gas) to better manage their infrastructure by maximizing the utilitization of their assets through supply_x000D_
and demand optimization. Therefore, the proposed system will be benefical to both home owners, by having a_x000D_
more flexible energy supply at a lower energy cost, and utilities (electric and natural gas) alike., program purpose french : In many regions of North America, natural gas is typically used for space heating via a furnace/boiler while_x000D_
electricity is used for space cooling via a central air-conditioner or heat pump. Due to increased demands for_x000D_
summer cooling and advancements in air source heat pump (ASHP) technologies, builders of residential homes_x000D_
are adopting ASHP as the main heating, ventilation and cooling (HVAC) system. However, ASHP capacity_x000D_
and efficiency drops with lower outdoor temperatures, typical in Canada, thus requiring a backup heating_x000D_
system, be it electric or otherwise. This trend has increased strain on the aging electrical grid, increases overall_x000D_
energy costs, and has associated environmental impact, particularly during peak demand periods. To mitigate_x000D_
these issues, Ecobee and Ryerson University are collaborating to develop a smart HVAC controller that can be_x000D_
implemented and deployed in residential homes within Ecobee's smart thermostats to optimally decide whether_x000D_
an electrically driven ASHP or a natural gas furnace/boiler should be used on a real-time basis, utilizing_x000D_
temporal information on equipment efficiencies, energy pricing, and short-term weather forecasts. This system_x000D_
could also be linked to the local utility's demand response (DR) system for full integration and participation_x000D_
with local smart grid infrastructure, thus, offering even greater flexibility and benefit to both home owners and_x000D_
utilities. The expected smart predictive residential HVAC control system will offer a user friendly cost saving_x000D_
opportunity to home owners. If the controller were widely deployed and aggregrated, it could potentially_x000D_
provide a cost effective and ubiquitous mechanism, as a dispatchable load, for utilities (both electric and_x000D_
natural gas) to better manage their infrastructure by maximizing the utilitization of their assets through supply_x000D_
and demand optimization. Therefore, the proposed system will be benefical to both home owners, by having a_x000D_
more flexible energy supply at a lower energy cost, and utilities (electric and natural gas) alike., agreement title english : Evaluation and Optimization of Model-based Predictive Controllers for Dual-Fuel Switching and Load Shifting in Residential HVAC Sector, agreement title french : Evaluation and Optimization of Model-based Predictive Controllers for Dual-Fuel Switching and Load Shifting in Residential HVAC Sector, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-04-25, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada