IP Library › Granted Patent US 12,393,999
Granted Patent B2
US 12,393,999 · App. 18/666,408 · Granted Aug 19, 2025

Asset sizing with utility use constraints

Inventors: Mohammad N. Elbsat (Milwaukee, WI); Michael J. Wenzel (Grafton, WI)
Assignee: Tyco Fire & Security GmbH
G06Q50/06G05B13/026G06Q30/0284Y04S10/50
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Quick Facts
Patent No.
US 12,393,999
App. No.
18/666,408
Granted
Aug 19, 2025
Kind
B2
Abstract

An energy optimization system includes an asset sizing system to determine an asset size and to cause a new asset to be purchased or installed. The energy optimization system uses a cost function dependent on a cost of operating a building system and on an initial purchase price of the new asset. The new asset may be a heat recover chiller, a solar energy system, a hydroelectric system, or an energy storage system. The optimization may be performed subject to a constraint related to the use of a resource supplied to the building system by one or more utilities. The optimization may include minimizing a simple pay back period or to maximizing a rate of return on the purchase of the new asset.

Claims (73)

1. An energy optimization system for one or more buildings, the system comprising:

HVAC equipment configured to satisfy a building energy load; and

one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to:

obtain a cost function defining a total cost over an optimization period as a function of:

an initial purchase cost of a new asset to be added to the HVAC equipment, wherein the initial purchase cost of the new asset comprises a function of one or more asset size variables defining a size of the new asset, wherein the new asset comprises at least one of a heat recovery chiller, a solar energy system, a hydroelectric system, or an energy storage system; and

a cost of operating the HVAC equipment and the new asset based on one or more energy load setpoints for the HVAC equipment and the new asset;

perform an optimization using the cost function to determine values for decision variables in the cost function including the one or more energy load setpoints for the HVAC equipment and the new asset and the one or more asset size variables, wherein the one or more energy load setpoints for the HVAC equipment and the new asset depend on the one or more asset size variables;

perform an action that causes the new asset having the size defined by the one or more asset size variables to be installed; and

operate the HVAC equipment and the new asset based on the determined values of one or more energy load setpoints for the HVAC equipment and the new asset.

2. The energy optimization system of claim 1 , wherein the optimization is performed subject to a constraint related to a use of a resource supplied to the HVAC equipment by one or more utilities.

3. The energy optimization system of claim 2 , wherein the constraint comprises a term comprising a coefficient multiplied by an amount of the resource supplied by the one or more utilities.

4. The energy optimization system of claim 1 , wherein the asset size variables comprise at least one of:

a capacity size variable indicating a maximum capacity of the new asset; or

a loading size variable indicating a maximum loading of the new asset.

5. The energy optimization system of claim 1 , wherein the optimization is performed by optimizing a financial metric comprising at least one of net present value, internal rate of return, or simple payback period.

6. The energy optimization system of claim 1 , wherein the optimization is performed by:

receiving a target value for at least one of an interest rate or an asset life-cycle;

calculating a target value for a simple payback period based on the target value for at least one of the interest rate or the asset life-cycle;

scaling one or more asset size cost terms in the cost function to a duration of the optimization period;

performing the optimization over the optimization period to determine current values of the asset size variables; and

repeating the optimization to determine values of the asset size variables and carrying over the values of the asset size variables, wherein the values of the asset size variables correspond to an optimal net present value.

7. The energy optimization system of claim 1 , wherein the optimization is performed by:

varying a target variable comprising at least one of a simple payback period or an annuity factor;

for each value of the target variable, scaling one or more asset size cost terms in the cost function to a duration of the optimization period;

for each value of the target variable, optimizing the cost function and determining whether the new asset is purchased based on the values of the asset size variables; and

optimizing an internal rate of return by finding a minimum value of the target variable that results in the new asset being purchased.

8. The energy optimization system of claim 1 , wherein the instructions cause the one or more processors to generate a benefit curve defining a relationship between the initial purchase cost of the new asset and a benefit of the new asset, wherein the benefit of the new asset is based on an effect of the new asset on the total cost.

9. The energy optimization system of claim 8 , wherein the optimization is performed by:

defining a net present value of the system as a function of the initial purchase cost of the new asset and the benefit of the new asset, wherein both the initial purchase cost and the benefit of the new asset depend on the asset size variables;

calculating the net present value of the system for a plurality of points along the benefit curve;

optimizing the net present value by finding an optimal point along the benefit curve that maximizes the net present value; and

determining a value of the asset size variable that corresponds to the optimal point along the benefit curve.

10. The energy optimization system of claim 8 , wherein the optimization is performed by:

defining an internal rate of return as a function of the initial purchase cost of the new asset and the benefit of the new asset, wherein both the initial purchase cost and the benefit of the new asset depend on the asset size variables;

calculating the internal rate of return for a plurality of points along the benefit curve;

optimizing the internal rate of return by finding an optimal point along the benefit curve that maximizes the internal rate of return; and

determining a value of the asset size variable that corresponds to the optimal point along the benefit curve.

11. A method for optimizing equipment that serve one or more buildings, the method comprising:

obtaining a cost function defining a total cost over an optimization period as a function of:

an initial purchase cost of a new asset to be added to the equipment, wherein the initial purchase cost of the new asset depends at least partially on one or more asset size variables defining a size of the new asset, wherein a first set of decision variables in the cost function comprise the one or more asset size variables; and

an effect of the new asset on a cost of operating the equipment, wherein the cost of operating the equipment depends at least partially on one or more energy load setpoints for the equipment and the new asset to be added to the equipment, wherein the one or more energy load setpoints are a second set of decision variables in the cost function, wherein the one or more energy load setpoints depend on the one or more asset size variables;

performing an optimization using the cost function to determine optimal values for the first set of decision variables and the second set of decision variables including the one or more energy load setpoints and the one or more asset size variables,

performing an action that causes the new asset having the size defined by the one or more asset size variables to be installed; and

operating the equipment and the new asset based on the determined optimal values for the one or more energy load setpoints for the equipment and the new asset.

12. The method of claim 11 , wherein the optimization is performed subject to a constraint related to a use of a resource supplied to the equipment by one or more utilities.

13. The method of claim 12 , wherein the constraint comprises a term comprising a coefficient multiplied by an amount of the resource supplied by the one or more utilities.

14. The method of claim 11 , wherein the asset size variables comprise at least one of:

a capacity size variable indicating a maximum capacity of the new asset; or

a loading size variable indicating a maximum loading of the new asset.

15. The method of claim 11 , wherein performing the optimization comprises optimizing a financial metric comprising at least one of net present value, internal rate of return, or simple payback period.

16. The method of claim 11 , further comprising generating a benefit curve defining a relationship between the initial purchase cost of the new asset and a benefit of the new asset, wherein the benefit of the new asset is based on the effect of the new asset on the total cost of operating the equipment.

17. The method of claim 16 , wherein performing the optimization comprises:

defining a net present value of the system as a function of the initial purchase cost of the new asset and the benefit of the new asset, wherein both the initial purchase cost and the benefit of the new asset depend on the asset size variables;

calculating the net present value of the system for a plurality of points along the benefit curve;

optimizing the net present value by finding an optimal point along the benefit curve that maximizes the net present value; and

determining a value of the asset size variable that corresponds to the optimal point along the benefit curve.

18. The method of claim 16 , wherein performing the optimization comprises:

defining an internal rate of return as a function of the initial purchase cost of the new asset and the benefit of the new asset, wherein both the initial purchase cost and the benefit of the new asset depend on the asset size variables;

calculating the internal rate of return for a plurality of points along the benefit curve;

optimizing the internal rate of return by finding an optimal point along the benefit curve that maximizes the internal rate of return; and

determining a value of the asset size variable that corresponds to the optimal point along the benefit curve.

19. The method of claim 11 , wherein performing the optimization comprises:

varying a target variable comprising at least one of a simple payback period or an annuity factor;

for each value of the target variable, optimizing the cost function and determining whether the new asset is purchased based on the optimal values of the asset size variables; and

optimizing an internal rate of return by finding a minimum value of the target variable that results in the new asset being purchased.

20. An energy optimization system, the system comprising:

one or more memory devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to:

obtain a cost function comprising:

a cost of operating equipment over an optimization period as a function of one or more asset size variables and one or more energy load setpoints for the equipment and a new asset to be added to the equipment, wherein the one or more asset size variables comprise at least one of a capacity size variable related to a maximum capacity of the new asset to be added to the equipment or a loading size variable related to a maximum loading of the new asset; and

an initial purchase cost of the new asset, wherein the initial purchase cost of the new asset is a function of the one or more asset size variables defining a size of the new asset;

perform an optimization using the cost function to determine values for the one or more asset size variables and the one or more energy load setpoints for the equipment and the new asset;

perform an action that causes the new asset having the size defined by the one or more asset size variables to be installed, wherein the new asset comprises at least one of a heat recovery chiller, a solar energy system, a hydroelectric system, or an energy storage system, wherein the optimization is performed subject to a constraint related to a use of a resource supplied to the energy optimization system by one or more utilities; and

operate the equipment and the new asset based on the determined values for the one or more energy load setpoints for the equipment and the new asset.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 28, 2024
From: ELBSAT, MOHAMMAD N.; WENZEL, MICHAEL J.
To: JOHNSON CONTROLS TECHNOLOGY COMPANY
Reel/Frame 067543/0174 →
NUNC PRO TUNC ASSIGNMENT Recorded May 28, 2024
From: JOHNSON CONTROLS TECHNOLOGY COMPANY
To: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
Reel/Frame 067543/0236 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 28, 2024
From: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
To: TYCO FIRE & SECURITY GMBH
Reel/Frame 067543/0275 →
Continuity (11)
Continuation 17582988 · Jan 24, 2022
Continuation 16518314 · Jul 22, 2019
Continuation In Part 15426962 · Feb 7, 2017
Continuation In Part 15616616 · Jun 7, 2017
Continuation In Part 16115290 · Aug 28, 2018
Continuation In Part 16352485 · Mar 13, 2019
Continuation 15405236 · Jan 12, 2017
Continuation In Part 16383228 · Apr 12, 2019
Continuation 15405234 · Jan 12, 2017
Provisional Application 62558135 · Sep 13, 2017
Related Publication 20240311935A1 · Sep 19, 2024
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