Granted Patent B2

US 10,955,800 · App. 16/415,170 · Granted Mar 23, 2021

Inventors: John H. Burroughs (Wauwatosa, WI); Andrew J. Przybylski (Franksville, WI); Michael J. Wenzel (Grafton, WI); Matthew J. Ellis (Milwaukee, WI)

Assignee: Johnson Controls Technology Company

G05B13/041F24F11/49G05B13/04G05B15/02G05B19/418H04L12/28

Abstract

Claims (67)

1. A method for controlling equipment in a building system, the method comprising:

identifying a plurality of granular assets of the building system, each of the granular assets representing one or more devices of the equipment that operate to produce, consume, or store one or more resources in the building system;

defining one or more general assets by grouping the plurality of granular assets into a plurality of groups, each general asset comprising a plurality of the granular assets that have been grouped together to form the general asset;

performing a non-granular optimization to determine a non-granular allocation of the one or more resources among the general assets, the non-granular allocation defining an amount of each of the one or more resources consumed, produced, or stored by each of the general assets at each of a plurality of time steps in a time period;

using the non-granular allocation of the one or more resources among the general assets to formulate a granular optimization for each general asset;

performing the granular optimization for each general asset to determine a granular allocation of the one or more resources among the plurality of granular assets that form the general asset, the granular allocation defining an amount of each of the one or more resources consumed, produced, or stored by each of the granular assets that form the general asset at each of the plurality of time steps in the time period; and

operating the equipment of the building system to consume, produce, or store the amount of each of the one or more resources defined by granular allocation.

2. The method of claim 1 , wherein:

the plurality of granular assets comprise one or more subplants configured to convert one or more input resources into one or more output resources, one or more storage devices configured to store one or more of the plurality of resources, and one or more sinks configured to consume one or more of the plurality of resources; and

at least one of the general assets comprises a plurality of the one or more subplants, the one or more storage devices, and the one or more sinks.

3. The method of claim 1 , wherein one or more of the general assets comprise multiple sub-general assets, each of the sub-general assets comprising a plurality of the granular assets; and

the method further comprises performing an intermediate optimization for each general asset to determine an intermediate allocation of the one or more resources among the multiple sub-general assets within the general asset.

4. The method of claim 1 , further comprising:

generating constraints based on the non-granular allocation defining the amount of each of the one or more resources consumed produced, or stored by each of the general assets; and

using one or more of the constraints that apply to a general asset to constrain the granular optimization performed for the general asset.

5. The method of claim 1 , further comprising receiving a resource diagram of the building system via a user interface, the resource diagram defining a number and type of the plurality of granular assets and defining interconnections between the plurality of granular assets.

6. The method of claim 1 , further comprising:

obtaining a model of each general asset, the model defining a relationship between one or more of the resources produced by the general asset and one or more resources consumed by the general asset; and

using the model to perform the non-granular optimization;

wherein the model of each general asset comprises at least one of a static model and a dynamic model.

7. The method of claim 6 , further comprising generating the model of the general asset by:

combining a plurality of granular models of the granular assets that form the general asset; or

performing a regression to determine a relationship between an amount of the one or more resources produced and an amount of the one or more resources consumed by the general asset at each time step of the time period.

8. The method of claim 7 , wherein combining the plurality of granular models of the general assets that form the general asset comprises at least one of:

combining models for a plurality of zones that predict zone temperature as a function of an amount of heating or cooling provided by the equipment; and

combining models for a plurality of zone groups that predict zone group temperature as a function of the amount of heating or cooling provided by the equipment.

9. A central plant system for serving energy loads of a building or campus, the central plant system comprising:

central plant equipment configured to consume, produce, or store one or more resources; and

a controller configured to:

identify a plurality of granular assets of the building or campus, each of the granular assets representing one or more devices of the central plant equipment that operate to produce, consume, or store one or more resources in the building or campus;

define one or more general assets by grouping the plurality of granular assets into a plurality of groups, each general asset comprising a plurality of the granular assets that have been grouped together to form the general asset;

perform a non-granular optimization to determine a non-granular allocation of the one or more resources among the general assets, the non-granular allocation defining an amount of each of the one or more resources consumed, produced, or stored by each of the general assets at each of a plurality of time steps in a time period;

use the non-granular allocation of the one or more resources among the general assets to formulate a granular optimization for each general asset;

perform the granular optimization for each general asset to determine a granular allocation of the one or more resources among the plurality of granular assets that form the general asset, the granular allocation defining an amount of each of the one or more resources consumed, produced, or stored by each of the granular assets that form the general asset at each of the plurality of time steps in the time period; and

operate the central plant equipment of the building system to consume, produce, or store the amount of each of the one or more resources defined by granular allocation.

10. The system of claim 9 , wherein:

the plurality of granular assets comprise one or more subplants configured to convert one or more input resources into one or more output resources, one or more storage devices configured to store one or more of the plurality of resources, and one or more sinks configured to consume one or more of the plurality of resources; and

at least one of the general assets comprises a plurality of the one or more subplants, the one or more storage devices, and the one or more sinks.

11. The system of claim 9 , wherein one or more of the general assets comprise multiple sub-general assets, wherein each of the sub-general assets comprise a plurality of the granular assets; and

the controller is further configured to perform an intermediate optimization for each general asset to determine an intermediate allocation of the one or more resources among the multiple sub-general assets within the general asset.

12. The system of claim 9 , where the controller is further configured to:

generate constraints based on the non-granular allocation defining the amount of each of the one or more resources consumed produced, or stored by each of the general assets; and

use one or more of the constraints that apply to a general asset to constrain the granular optimization performed for the general asset.

13. The system of claim 9 , wherein the controller is further configured to receive a resource diagram of the building system via a user interface, wherein the resource diagram defines a number and type of the plurality of granular assets and defining interconnections between the plurality of granular assets.

14. The system of claim 9 , wherein the controller is further configured to:

obtain a model of each general asset, wherein the model defines a relationship between one or more of the resources produced by the general asset and one or more resources consumed by the general asset; and

use the model to perform the non-granular optimization;

wherein the model of each general asset comprises at least one of a static model and a dynamic model.

15. The system of claim 9 , wherein the controller is further configured to generate the model of the general asset by:

combining a plurality of granular models of the granular assets that form the general asset; or

performing a regression to determine a relationship between an amount of the one or more resources produced and an amount of the one or more resources consumed by the general asset at each time step of the time period.

16. The system of claim 9 , wherein the controller is further configured to:

define a resource pool for each of the one or more resources; and

impose constraints on the non-granular optimization that require a balance between an amount of resources added to each resource pool and removed from each resource pool at each time step of the time period.

17. A controller for controlling equipment in a building system, the controller configured to:

identify a plurality of granular assets of the building system, each of the granular assets representing one or more devices of the equipment that operate to produce, consume, or store one or more resources in the building system;

define one or more general assets by grouping the plurality of granular assets into a plurality of groups, each general asset comprising a plurality of the granular assets that have been grouped together to form the general asset;

perform a non-granular optimization to determine a non-granular allocation of the one or more resources among the general assets, wherein the non-granular allocation defines an amount of each of the one or more resources consumed, produced, or stored by each of the general assets at each of a plurality of time steps in a time period;

use the non-granular allocation of the one or more resources among the general assets to formulate a granular optimization for each general asset;

perform the granular optimization for each general asset to determine a granular allocation of the one or more resources among the plurality of granular assets that form the general asset, wherein the granular allocation defines an amount of each of the one or more resources consumed, produced, or stored by each of the granular assets that form the general asset at each of the plurality of time steps in the time period; and

allocate the one or more resources among the plurality of granular assets.

18. The controller of claim 17 , wherein one or more of the general assets comprise multiple sub-general assets, each of the sub-general assets comprising a plurality of the granular assets, and the controller is further configured to perform an intermediate optimization for each general asset to determine an intermediate allocation of the one or more resource among the multiple sub-general assets within the general asset.

19. The controller of claim 18 , wherein the controller is further configured to operate the equipment of the building system to consume, produce, or store the amount of each of the one or more resources defined by granular allocation.

20. The controller of claim 17 , wherein the controller is further configured to:

generate a model of each general asset by combining a plurality of granular models of the granular assets that form the general asset or by performing a regression to determine a relationship between an amount of the one or more resources produced and an amount of the one or more resources consumed by the general asset at each time step of the time step period; and

use the model to perform the non-granular optimization;

wherein the model of each general asset comprises at least one of a static model and a dynamic model.

Assignments (3)

Cited By (11)

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