The Closed Loop Comfort-Cost Control Thermostat and Monitor

Technology #ua14-072

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Categories
Researchers
Susan Lysecky
Assistant Professor, Electrical & Computer Engineering
Xiao Qin
Graduate Research Assistant, Electrical & Computer Engineering
Jonathan Sprinkle
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.

 

Applications:

  • HVAC systems

 

Advantages:

  • In-expensive hardware
  • Cloud compatible
  • Predictive capabilities

 

Licensing Manager:

Bob Sleeper

RobertS@tla.arizona.edu

(520) 626-4604