Systems and methods for control optimization of building subsytems

Patent metadata

Field	Value
Publication number	US-2023105859-A1
Application number	US-202217810020-A
Country	US
Kind code	A1
Filing date	Jun 30, 2022
Priority date	Sep 27, 2021
Publication date	Apr 6, 2023
Grant date	—

Abstract

Systems and methods for control optimization of building subsystems are disclosed. In some embodiments, a system comprises at least one processor; and memory storing instructions executable by the at least one processor, the instructions when executed cause the system to: obtain building load information, the building load information related to one or more power consuming subsystems of the building; determine a future building load based on the building load information; and adjust one or more setpoint tolerances for the one or more subsystems based on the determined future building load.

First claim

What is claimed is:

1 . A system for control optimization of building subsystems, the system comprising:
at least one processor; and memory storing instructions executable by the at least one processor, the instructions when executed cause the system to:
obtain a building load information, the building load information related to one or more power consuming subsystems of the building;
determine a future building load based on the building load information; and
adjust one or more setpoint tolerances for the one or more subsystems based on the determined future building load.

2 . The system of claim 1 , wherein the instructions further cause the system to:
obtain occupancy information for the building, the future load based on the occupancy information and the building load information.

3 . The system of claim 1 , wherein the instructions further cause the system to:
determine a power source for powering the subsystems based on the determined future building load, wherein adjusting the one or more or more setpoint tolerances is further based on the determined power source.

4 . The system of claim 3 , wherein:
determining the future building load comprises generating a building load forecast for a given period of time, and wherein determining the power source comprises generating a power source forecast for the given period of time, and wherein the instructions further cause the system to adjust the one or more setpoint tolerances for the given period of time.

5 . The system of claim 2 , wherein the instructions further cause the system to:
determine a future occupancy for the building based on the occupancy information, and wherein determining a future building load for the building is further based on the determined future occupancy.

6 . The system of claim 3 , wherein the instructions further cause the system to:
determine an adjustment amount for the setpoint tolerances based on the determined power source.

7 . The system of claim 1 , wherein the instructions further cause the system to:
generate a recommendation for the determined power source; and responsive to the user accepting the recommendation, adjusting the one or more setpoint tolerances.

8 . A method for control optimization of building subsystems, the method being implemented in system comprising at least one processor, and memory storing instructions, the method comprising:
obtaining a building load information, the building load information related to one or more power consuming subsystems of the building; determining a future building load based on the building load information; and adjusting one or more setpoint tolerances for the one or more subsystems based on the determined future building load.

9 . The method of claim 8 , further comprising:
obtaining occupancy information for the building, the future building load based on the occupancy information and the building load information.

10 . The method of claim 8 , further comprising:
determining a power source for powering the subsystems based on the determined future building load, wherein adjusting the one or more or more setpoint tolerances is further based on the determined power source.

11 . The method of claim 10 , wherein
determining the future building load comprises generating a building load forecast for a given period of time, and wherein determining the power source comprises generating a power source forecast for the given period of time, and wherein the method further comprises:
adjusting the one or more setpoint tolerances for the given period of time.

12 . The method of claim 9 , further comprising:
determining a future occupancy for the building based on the occupancy information, and wherein determining a future building load for the building is further based on the determined future occupancy.

13 . The method of claim 10 , further comprising:
determining an adjustment amount for the setpoint tolerances based on the determined power source.

14 . The method of claim 8 , further comprising:
generating a recommendation for the determined power source; and responsive to the user accepting the recommendation, adjusting the one or more setpoint tolerances.

15 . A non-transitory computer-readable storage medium storing program instructions, wherein the program instructions are computer-executable to implement:
obtaining a building load information, the building load information related to one or more power consuming subsystems of the building; determining a future building load based on the building load information; and adjusting one or more setpoint tolerances for the one or more subsystems based on the determined future building load.

16 . The non-transitory computer-readable storage medium of claim 15 , wherein the program instructions are computer-executable to implement:
determining a power source for powering the subsystems based on the determined future building load, wherein adjusting the one or more or more setpoint tolerances is further based on the determined power source.

17 . The non-transitory computer-readable storage medium of claim 16 , wherein
determining the future building load comprises generating a building load forecast for a given period of time, and wherein determining the power source comprises generating a power source forecast for the given period of time, and wherein the program instructions are computer-executable to implement:
adjusting the one or more setpoint tolerances for the given period of time.

18 . The non-transitory computer-readable storage medium of claim 15 , wherein the program instructions are computer-executable to implement:
obtaining occupancy information for the building, the future building load based on the occupancy information and the building load information; and determining a future occupancy for the building based on the occupancy information, and wherein determining a future building load for the building is further based on the determined future occupancy.

19 . The non-transitory computer-readable storage medium of claim 16 , wherein the program instructions are computer-executable to implement:
determining an adjustment amount for the setpoint tolerances based on the determined power source.

20 . The non-transitory computer-readable storage medium of claim 15 , wherein the program instructions are computer-executable to implement:
generating a recommendation for the determined power source; and responsive to the user accepting the recommendation, adjusting the one or more setpoint tolerances.

Assignees

• Carrier Corp

Inventors

• Leffler Robert
• Clark Matthew
• Mahmoud Ahmad
• Mangiahgari Phani Pavan Kumar
• Healey Alexander

Classifications

• H02J2101/24

  Photovoltaics · CPC title

• H02J2105/12

  supplying households or buildings · CPC title

• H02J13/14

  the power network being locally controlled, e.g. home energy management systems [HEMS] · CPC title

• H02J3/003 Primary

  Load forecast, e.g. methods or systems for forecasting future load demand · CPC title

• H02J3/381

  Dispersed generators · CPC title