Optimized precooling of structures

Patent metadata

Field	Value
Publication number	US-9625171-B2
Application number	US-201414167657-A
Country	US
Kind code	B2
Filing date	Jan 29, 2014
Priority date	Jan 29, 2014
Publication date	Apr 18, 2017
Grant date	Apr 18, 2017

Abstract

A method includes aggregating multiple zones of an indoor structure, each zone having associated comfort limits, formulating an aggregated single zone model predictive control (MPC) problem representative of the multiple zones for a heating ventilation and air conditioning (HVAC) system, determining optimal aggregated actions as a function of the aggregated single zone model predictive control problem, simulating an optimal trajectory of indoor qualities, and determining zone temperature setpoints to comply with the comfort limits for each zone and pre-cool the indoor structure.

First claim

The invention claimed is:

1. A method comprising:
aggregating multiple zones of an indoor structure via a processor, each zone having associated comfort limits;
formulating an aggregated single zone model predictive control (MPC) problem via the processor representative of the multiple zones for a heating ventilation and air conditioning (HVAC) system;
determining, via the processor, optimal aggregated actions as a function of the aggregated single zone model predictive control problem;
simulating, via the processor, an optimal trajectory of indoor qualities; and
determining, via the processor, zone temperature setpoints to:
comply with the comfort limits for each zone;
satisfy conditions based upon evaluating:
a weighted average of thermal properties of the multiple zones against an aggregated solution of the aggregated zone model predictive control problem;
comfort limits for a particular zone;
differences between temperatures in particular zones; and
pre-cool the indoor structure.

2. The method of claim 1 wherein determining the zone temperature setpoints is performed to minimize temperature differences in selected zones.

3. The method of claim 1 wherein determining the zone temperature setpoints is performed to minimize changes of setpoints for a zone from a previous time instant.

4. The method of claim 1 wherein determining the zone temperature setpoints is performed to determine setpoints that have integer values.

5. The method of claim 1 wherein zones are weighted for aggregation.

6. The method of claim 5 wherein weights for each zone are a function of area, volume, or other physical properties of the zone.

7. The method of claim 1 wherein determining zone temperature setpoints comprises disaggregating the aggregated actions.

8. The method of claim 1 and further comprising distributing the setpoints to lower level controllers of the HVAC system.

9. The method of claim 1 wherein determining optimal aggregated actions is performed by solving the MPC problem.

10. The method of claim 1 wherein the MPC problem utilizes weather predictions, dynamic prices, thermal capacity, and occupancy.

11. A machine readable storage device having instructions for execution by a processor of the machine to perform:
aggregating multiple zones of an indoor structure, each zone having associated comfort limits;
formulating an aggregated single zone model predictive control (MPC) problem representative of the multiple zones for a heating ventilation and air conditioning (HVAC) system;
determining optimal aggregated actions as a function of the aggregated single zone model predictive control problem;
simulating an optimal trajectory of indoor qualities; and
determining zone temperature setpoints to:
comply with the comfort limits for each zone;

satisfy conditions based upon evaluating:
a weighted average of thermal properties of the multiple zones against an aggregated solution of the aggregated zone model predictive control problem;
comfort limits for a particular zone;
differences between temperatures in particular zones; and

pre-cool the indoor structure.

12. The machine readable storage device of claim 11 wherein determining the zone temperature setpoints is performed to minimize temperature differences in selected zones.

13. The machine readable storage device of claim 11 wherein determining the zone temperature setpoints is performed to minimize changes of setpoints for a zone from a previous time instant.

14. The machine readable storage device of claim 11 wherein zones are weighted for aggregation.

15. The machine readable storage device of claim 14 wherein weights for each zone are a function of area of the zone or wherein weights for each zone are determined using an identification procedure.

16. The machine readable storage device of claim 11 wherein determining zone temperature setpoints comprises disaggregating the aggregated actions and further comprising distributing the setpoints to lower level controllers of the HVAC system.

17. The machine readable storage device of claim 11 wherein determining optimal aggregated actions is performed by solving the MPC problem.

18. The machine readable storage device of claim 11 wherein the MPC problem utilizes weather predictions, dynamic prices, thermal capacity, and occupancy.

19. A device comprising:
a processor; and
a memory device coupled to the processor and having a program stored thereon for execution by the processor to:
aggregate multiple zones of an indoor structure, each zone having associated comfort limits;
formulate an aggregated single zone model predictive control (MPC) problem representative of the multiple zones for a heating ventilation and air conditioning (HVAC) system;
determine optimal aggregated actions as a function of the aggregated single zone model predictive control problem;
simulate an optimal trajectory of indoor qualities; and
determine zone temperature setpoints to:
comply with the comfort limits for each zone;
satisfy conditions based upon evaluating:
a weighted average of thermal properties of the multiple zones against an aggregated solution of the aggregated zone model predictive control problem;
comfort limits for a particular zone;
differences between temperatures in particular zones; and

pre-cool the indoor structure.

20. The device of claim 19 wherein determining zone temperature setpoints comprises disaggregating the aggregated actions, wherein determining optimal aggregated actions is performed by solving the MPC problem, and further comprising distributing the setpoints to lower level controllers of the HVAC system.

Assignees

• Honeywell Int Inc

Inventors

• Macek Karel
• Marik Karel
• Majewski Joseph Steven

Classifications

• F24F2130/00

  Control inputs relating to environmental factors not covered by group F24F2110/00 · CPC title

• F24F11/63

  Electronic processing · CPC title

• F24F11/62

  characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values · CPC title

• F24F2130/10

  Weather information or forecasts · CPC title

• G05B2219/2614

  HVAC, heating, ventillation, climate control · CPC title