IP Library › Granted Patent US 12,222,120
Granted Patent B2
US 12,222,120 · App. 18/126,057 · Granted Feb 11, 2025

Smart thermostat with model predictive control

Inventors: Robert D. Turney (Watertown, WI); Matthew J. Ellis (Milwaukee, WI); Michael J. Wenzel (Oak Creek, WI); Mohammad N. Elbsat (Milwaukee, WI); Juan Esteban Tapiero Bernal (Wauwatosa, WI); Brennan H. Fentzlaff (Oconomowoc, WI)
Assignee: Tyco Fire & Security GmbH
F24F11/47F24F11/00F24F11/30F24F11/52F24F11/58F24F11/64F24F11/89G05B13/048G05B15/02G05D23/1904G05D23/1917G05D23/1923F24F11/46F24F11/62F24F11/65F24F2110/10F24F2110/12F24F2130/10F24F2140/50F24F2140/60G05B2219/2614
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Quick Facts
Patent No.
US 12,222,120
App. No.
18/126,057
Granted
Feb 11, 2025
Kind
B2
Abstract

A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.

Claims (47)

1. A thermostat system for monitoring and controlling temperature of an environment, the thermostat system comprising:

a controller configured to:

predict a temperature of the environment for a plurality of time steps as a function of temperature setpoints for a thermostat;

generate the temperature setpoints for the thermostat by performing an optimization subject to a constraint on the temperature using a utility rate; and

provide at least a first temperature setpoint of the temperature setpoints to the thermostat via a communications network;

wherein the thermostat is configured to drive the temperature of the environment toward the first temperature setpoint during a corresponding time step of the plurality of time steps by operating HVAC equipment to provide heating or cooling to the environment.

2. The thermostat system of claim 1 , wherein performing the optimization comprises optimizing a predicted resource usage of the HVAC equipment or performing the optimization comprises optimizing a cost of operating the HVAC equipment.

3. The thermostat system of claim 1 , wherein the utility rate includes a peak rate charge.

4. The thermostat system of claim 1 , wherein the thermostat is configured to:

receive user-provided temperature setpoints via a local user interface of the thermostat or a mobile device in communication with the thermostat; and

in response to receiving the user-provided temperature setpoints, override the temperature setpoints generated by the controller with the user-provided temperature setpoints and use the user-provided temperature setpoints to operate the HVAC equipment.

5. The thermostat system of claim 1 , wherein the temperature setpoints are chosen to precool or preheat the environment.

6. The thermostat system of claim 1 , wherein the controller is configured to:

predict the temperature of the environment using a predictive model; and

generate the predictive model by:

modulating the temperature setpoints during a plurality of time steps of a learning period;

collecting a set of input-output data comprising values of the temperature setpoints and values of the temperature of the environment that result from modulating the temperature setpoints; and

training the predictive model using the set of input-output data.

7. The thermostat system of claim 1 , wherein the controller is configured to predict the temperature of the environment using a thermal mass storage model that defines the temperature of the environment as a function of heat transfer between air within the environment and solid mass within the environment.

8. The thermostat system of claim 1 , wherein the controller is configured to predict the temperature of the environment as a function of at least one of a weather forecast or a heat load disturbance experienced by the environment.

9. A thermostat system for monitoring and controlling temperature of a building zone, the thermostat system comprising:

an equipment controller configured to drive the temperature of the building zone toward a temperature setpoint by operating HVAC equipment to provide heating or cooling to the building zone; and

a first controller configured to determine the temperature setpoint by:

using a model to predict a temperature of air within the building zone for a plurality of time steps during a time period; and

determining temperature setpoints for the plurality of time steps subject to a constraint on the temperature of air within the building zone and utility rates.

10. The thermostat system of claim 9 , wherein determining the temperature setpoints for the plurality of time steps comprises performing an optimization of resource consumption of the HVAC equipment subject to the constraint.

11. The thermostat system of claim 9 , wherein determining the temperature setpoints for the plurality of time steps comprises performing an optimization using peak demand information.

12. The thermostat system of claim 9 , wherein the equipment controller is configured to:

receive user-provided temperature setpoints via a local user interface of a thermostat or a mobile device in communication with the thermostat; and

in response to receiving the user-provided temperature setpoints, override the temperature setpoints generated by the first controller with the user-provided temperature setpoints and use the user-provided temperature setpoints to operate the HVAC equipment.

13. The thermostat system of claim 9 , wherein the first controller is separate from the equipment controller and is connected to the equipment controller through the internet, the equipment controller being a smart thermostat.

14. The thermostat system of claim 9 , wherein the first controller is configured to generate a predictive model by

modulating the temperature setpoints during a plurality of time steps of a learning period;

collecting a set of input-output data comprising values of the temperature setpoints and values of the temperature of the building zone that result from modulating the temperature setpoints; and

training the predictive model using the set of input-output data.

15. The thermostat system of claim 14 , wherein the predictive model is a grey-box model.

16. The thermostat system of claim 9 , wherein the first controller is configured to receive a weather forecast and use the weather forecast as an input to a predictive model.

17. A method for monitoring and controlling temperature of an environment, the method comprising:

predicting, by a controller, a temperature of the environment for a plurality of time steps as a function of temperature setpoints for a thermostat;

generating, by the controller, the temperature setpoints for the thermostat by performing an optimization subject to a constraint on the temperature using a utility rate;

providing, by the controller, at least a first temperature setpoint of the temperature setpoints to the thermostat via a communications network;

driving, by the thermostat, the temperature of the environment toward the first temperature setpoint during a corresponding time step of the plurality of time steps by operating HVAC equipment to provide heating or cooling to the environment.

18. The method of claim 17 , wherein performing the optimization comprises optimizing a predicted resource usage of the HVAC equipment or performing the optimization comprises optimizing a cost of operating the HVAC equipment.

19. The method of claim 17 , wherein the utility rate includes a peak rate charge.

20. The method of claim 17 , further comprising by the thermostat:

receiving user-provided temperature setpoints via a local user interface of the thermostat or a mobile device in communication with the thermostat; and

in response to receiving the user-provided temperature setpoints, overriding the temperature setpoints generated by the controller with the user-provided temperature setpoints and using the user-provided temperature setpoints to operate the HVAC equipment.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 20, 2024
From: ELLIS, MATTHEW J.; WENZEL, MICHAEL J.; ELBSAT, MOHAMMAD N.; BERNAL, JUAN ESTEBAN TAPIERO; FENTZLAFF, BRENNAN H.; TURNEY, ROBERT D.
To: JOHNSON CONTROLS TECHNOLOGY COMPANY
Reel/Frame 067779/0470 →
NUNC PRO TUNC ASSIGNMENT Recorded Jun 20, 2024
From: JOHNSON CONTROLS TECHNOLOGY COMPANY
To: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
Reel/Frame 067779/0597 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 9, 2024
From: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
To: TYCO FIRE & SECURITY GMBH
Reel/Frame 067056/0552 →
Continuity (5)
Continuation 16598539 · Oct 10, 2019
Continuation 16185274 · Nov 9, 2018
Continuation 15625830 · Jun 16, 2017
Provisional Application 62491545 · Apr 28, 2017
Related Publication 20230228438A1 · Jul 20, 2023
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US 12,571,556