The Closed Loop Comfort-Cost Control Thermostat and MonitorTechnology #ua14-072
Questions about this technology? Ask a Technology Manager
- Jonathan Sprinkle Assistant Professor, Electrical & Computer Engineering
- Xiao Qin Graduate Research Assistant, Electrical & Computer Engineering
- Susan Lysecky Assistant Professor, Electrical & Computer Engineering
- Managed By
- Robert Sleeper Licensing Manager (520) 626-4604
Title: HVAC Prediction for a Cost-Limited Home Thermostat
Invention: This technology utilizes a novel management framework for thermostats targeted towards the end-user. Using a data-driven prediction component to learn data relationships, this technology predicts future HVAC loads within a given time frame. In its totality, the cost-effective hardware monitor with cloud-based computation and control calculations has the potential to help homeowners or building operators predict their HVAC load and plan accordingly for costs.
Background: Thermostats often use closed-loop controls which require a state-update function and frequent modifications of the optimization functions. Overall, the standard techniques for close-loop controls are inefficient and disturbances can have high impacts on performance of the thermostat. This technology makes the closed-loop control more efficient and allows users to predict how much their HVAC will cost.
- HVAC systems
- In-expensive hardware
- Cloud compatible
- Predictive capabilities