IP Library Granted Patent US 11,960,261
Granted Patent B2
US 11,960,261 · App. 17/483,078 · Granted Apr 16, 2024

HVAC system with sustainability and emissions controls

Inventors: Michael J. Risbeck (Madison, WI); Kirk H. Drees (Cedarburg, WI); Jonathan D. Douglas (Mequon, WI)
Assignee: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
G05B19/042F24F8/10F24F11/47F24F11/52F24F11/64F24F11/70F24F8/22F24F2110/10F24F2110/20F24F2120/20F24F2140/60G05B15/02G05B19/04G05B2219/2614G06F30/20
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Quick Facts
Patent No.
US 11,960,261
App. No.
17/483,078
Granted
Apr 16, 2024
Kind
B2
Abstract

A controller for heating, ventilation, or air conditioning (HVAC) equipment that is operable to affect an environmental condition of a building is configured to obtain predictive models that predict values of a carbon emissions control objective and another control objective as a function of control decision variables for the HVAC equipment. The controller executes an optimization process using the predictive models to produce sets of optimization results corresponding to different values of the control decision variables, the carbon emissions control objective, and the other control objective. The controller selects from the sets of optimization results based on the values of the carbon emissions control objective and the other control objective. The controller operates the HVAC equipment to affect the environmental condition of the building in accordance with the values of the control decision variables corresponding to a selected set of the optimization results.

Claims (59)

1. A controller for heating, ventilation, or air conditioning (HVAC) equipment operable to affect an environmental condition of a building, the controller comprising:

one or more processors; and

memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

obtaining one or more predictive models configured to predict values of a carbon emissions control objective and another control objective as a function of control decision variables for the HVAC equipment, the carbon emissions control objective comprising an amount of carbon emissions predicted to result from operating the HVAC equipment in accordance with the control decision variables, the other control objective comprising an infection risk predicted to result from operating the HVAC equipment in accordance with the control decision variables;

executing an optimization process using the one or more predictive models to produce multiple sets of optimization results corresponding to different values of the control decision variables, the carbon emissions control objective, and the other control objective;

selecting one or more of the sets of optimization results based on the values of the carbon emissions control objective and the other control objective;

providing a user interface comprising multiple selectable control plan options corresponding to the multiple sets of optimization results, the user interface comprising for each of the multiple selectable control plan options: (i) a set of the values of the control decision variables for a corresponding set of the optimization results and (ii) a set of values of the carbon emissions control objective and the other control objective predicted to result from the set of values of the control decision variables for the corresponding set of optimization results; and

operating the HVAC equipment to affect the environmental condition of the building in accordance with the values of the control decision variables corresponding to a control plan option of the multiple selectable control plan options selected via the user interface.

2. The controller of claim 1 , wherein the other control objective further comprises an operating cost predicted to result from operating the HVAC equipment in accordance with the control decision variables.

3. The controller of claim 1 , wherein executing the optimization process comprises executing multiple optimization processes using different sets of constraints for the control decision variables or different search spaces for the control decision variables, the multiple optimization processes producing corresponding sets of the multiple sets of optimization results.

4. The controller of claim 1 , wherein selecting one or more of the sets of optimization results comprises selecting one or more of the sets of optimization results for which the values of the carbon emissions control objective and the other control objective are not both improved by another of the sets of optimization results.

5. The controller of claim 1 , wherein selecting one or more of the sets of optimization results comprises:

classifying the multiple sets of optimization results as either Pareto-optimal optimization results or non-Pareto-optimal optimization results with respect to the carbon emissions control objective and the other control objective; and

selecting two or more of the Pareto-optimal optimization results to be provided via the user interface as the multiple selectable control plan options.

6. The controller of claim 1 , wherein selecting one or more of the sets of optimization results comprises selecting:

a first set of optimization results that prioritizes the carbon emissions control objective over the other control objective;

a second set of optimization results that prioritizes the other control objective over the carbon emissions control objective; and

a third set of optimization results that balances the carbon emissions control objective and the other control objective.

7. The controller of claim 6 , the operations further comprising:

presenting the values of the carbon emissions control objective, the other control objective, and the values of the control decision variables associated with the first set of optimization results, the second set of optimization results, and the third set of optimization results as the multiple selectable control plan options via the user interface; and

determining the selected set of the optimization results responsive to a user selecting one of the multiple selectable control plan options via the user interface.

8. A controller for heating, ventilation, or air conditioning (HVAC) equipment operable to affect an environmental condition of a building, the controller comprising:

one or more processors; and

memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

obtaining one or more predictive models configured to predict values of a sustainability control objective and another control objective as a function of control decision variables for the HVAC equipment, the sustainability control objective comprising an amount of carbon emissions predicted to result from operating the HVAC equipment in accordance with the control decision variables, the other control objective comprising an indication of infection risk that results from a predicted concentration of airborne infectious quanta, the indication of infection risk predicted by an infectious quanta model as a function of the control decision variables;

executing an optimization process using the one or more predictive models to produce multiple sets of optimization results corresponding to different values of the control decision variables, the sustainability control objective, and the other control objective;

selecting one or more of the sets of optimization results for which the values of the sustainability control objective and the other control objective are not both improved by another of the sets of optimization results;

providing a user interface comprising multiple selectable control plan options corresponding to the multiple sets of optimization results, the user interface comprising for each of the multiple selectable control plan options: (i) a set of the values of the control decision variables for a corresponding set of the optimization results and (ii) a set of values of the sustainability control objective and the other control objective predicted to result from the set of values of the control decision variables for the corresponding set of optimization results; and

operating the HVAC equipment to affect the environmental condition of the building in accordance with the values of the control decision variables corresponding to a control plan option of the multiple selectable control plan options selected via the user interface.

9. The controller of claim 8 , wherein the other control objective further comprises at least one of an operating cost predicted to result from operating the HVAC equipment in accordance with the control decision variables or a capital cost of purchasing or installing the HVAC equipment.

10. The controller of claim 8 , wherein executing the optimization process comprises executing multiple optimization processes using different sets of constraints for the control decision variables or different search spaces for the control decision variables, the multiple optimization processes producing corresponding sets of the multiple sets of optimization results.

11. The controller of claim 8 , wherein selecting one or more of the sets of optimization results comprises:

classifying the multiple sets of optimization results as either Pareto-optimal optimization results or non-Pareto-optimal optimization results with respect to the sustainability control objective and the other control objective; and

selecting two or more of the Pareto-optimal optimization results to be provided via the user interface as the multiple selectable control plan options.

12. The controller of claim 8 , wherein selecting one or more of the sets of optimization results comprises selecting:

a first set of optimization results that prioritizes the sustainability control objective over the other control objective;

a second set of optimization results that prioritizes the other control objective over the sustainability control objective; and

a third set of optimization results that balances the sustainability control objective and the other control objective.

13. The controller of claim 12 , the operations further comprising:

presenting the values of the sustainability control objective, the other control objective, and the values of the control decision variables associated with the first set of optimization results, the second set of optimization results, and the third set of optimization results as the multiple selectable control plan options via the user interface; and

determining the selected set of the optimization results responsive to a user selecting one of the multiple selectable control plan options via the user interface.

14. A controller for a heating, ventilation, or air conditioning (HVAC) system fora building, the controller comprising:

one or more processors; and

memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

obtaining one or more predictive models configured to predict values of a sustainability control objective and another control objective as a function of control decision variables for the HVAC equipment, the sustainability control objective comprising an amount of carbon emissions predicted to result from operating the HVAC equipment in accordance with the control decision variables, the other control objective comprising an indication of infection risk that results from a predicted concentration of airborne infectious quanta, the indication of infection risk predicted by an infectious quanta model as a function of the control decision variables;

executing a Pareto optimization process using the one or more predictive models to produce one or more sets of Pareto optimal values of the control decision variables, the sustainability control objective, and the other control objective;

providing a user interface comprising a selectable control plan option, the user interface comprising: (i) a set of the Pareto optimal values of the control decision variables corresponding to the control plan option and (ii) a set of the Pareto optimal values of the sustainability control objective and the other control objective predicted to result from the set of the Pareto optimal values of the control decision variables corresponding to the control plan option; and

operating the HVAC equipment to affect the environmental condition of the building in accordance with the set of the Pareto optimal values of the control decision variables corresponding to the control plan option selected via the user interface.

15. The controller of claim 14 , wherein executing the Pareto optimization process comprises:

executing multiple optimization processes to produce corresponding sets of optimization results comprising values of the control decision variables, the sustainability control objective, and the other control objective; and

selecting, as the one or more sets of Pareto optimal values, one or more of the sets of optimization results for which the values of the sustainability control objective and the other control objective are not both improved by another of the sets of optimization results.

16. A controller for heating, ventilation, or air conditioning (HVAC) equipment operable to affect an environmental condition of a building, the controller comprising:

one or more processors; and

memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:

obtaining one or more predictive models configured to predict values of a carbon emissions control objective and another control objective as a function of control decision variables for the HVAC equipment, the carbon emissions control objective comprising an amount of carbon emissions predicted to result from operating the HVAC equipment in accordance with the control decision variables, the other control objective comprising an infection risk predicted to result from operating the HVAC equipment in accordance with the control decision variables;

executing an optimization process using the one or more predictive models to produce multiple sets of optimization results corresponding to different values of the control decision variables, the carbon emissions control objective, and the other control objective;

selecting two or more of the sets of optimization results based on the values of the carbon emissions control objective and the other control objective;

providing a user interface comprising two or more selectable control plan options corresponding to the selected two or more sets of the optimization results and comprising a predicted energy cost for each of the multiple selectable control plan options; and

operating the HVAC equipment to affect the environmental condition of the building in accordance with the values of the control decision variables corresponding to a set of the optimization results corresponding to a control plan selected via the user interface.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 18, 2024
From: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
To: TYCO FIRE & SECURITY GMBH
Reel/Frame 066957/0796 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 23, 2021
From: RISBECK, MICHAEL J.; DREES, KIRK H.; DOUGLAS, JONATHAN D.
To: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
Reel/Frame 057579/0529 →