IP Library Granted Patent US 12,181,848
Granted Patent B2
US 12,181,848 · App. 18/337,230 · Granted Dec 31, 2024

Building energy storage system with planning tool

Inventors: Mohammad N. Elbsat (Milwaukee, WI); Michael J. Wenzel (Grafton, WI); Kirk H. Drees (Cedarburg, WI)
Assignee: Con Edison Battery Storage, LLC
G05B19/042H02J3/00H02J3/32H02J5/00G05B2219/2639H02J7/34
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Quick Facts
Patent No.
US 12,181,848
App. No.
18/337,230
Granted
Dec 31, 2024
Kind
B2
Abstract

An energy storage system for a building includes a battery asset configured to store electricity and discharge the stored electricity for use in satisfying a building electric load. The system includes a planning tool configured to identify one or more selected functionalities of the energy storage system and generate a cost function defining a cost of operating the energy storage system over an optimization period. The cost function includes a term for each of the selected functionalities. The planning tool is configured to generate optimization constraints based on the selected functionalities, attributes of the battery asset, and the electric energy load to be satisfied. The planning tool is configured to optimize the cost function to determine optimal power setpoints for the battery asset at each of a plurality of time steps of the optimization period.

Claims (37)

1. An energy storage system for a building, the system comprising:

a battery asset configured to store energy for satisfying a building energy load; and

an energy storage controller including a computer readable medium and a processor, the energy storage controller including computer executable instructions stored in the computer readable medium for implementing a resource allocation planning tool to:

estimate the building energy load to be satisfied for a time step during an optimization period based on one or more functions of the energy storage system, the one or more functions including accounting for revenue generated by using the battery asset to participate in an incentive program during the optimization period;

generate a cost function corresponding to a cost of operating the energy storage system over the optimization period based on one or more battery power setpoints for the battery asset;

determine optimal battery power setpoints for the time step based on the estimated building energy load; and

generate a control signal configured to control the energy stored to or discharged from the battery asset based on the optimal battery power setpoints.

2. The energy storage system of claim 1 , wherein the incentive program is a frequency regulation (“FR”) program.

3. The energy storage system of claim 2 , wherein the cost function includes at least one term related to FR revenue.

4. The energy storage system of claim 1 , wherein the incentive program is an economic load demand response (“ELDR”) program.

5. The energy storage system of claim 4 , wherein the cost function includes at least one term related to ELDR revenue.

6. The energy storage system of claim 4 , wherein the ELDR program is a day-ahead market.

7. The energy storage system of claim 1 , the energy storage controller further comprising computer executable instructions stored in the computer readable medium for implementing the resource allocation planning tool to:

shift the optimization period forward in time a predetermined number of time steps during a planning period;

determine optimal battery power setpoints for each time step of the planning period; and

estimate the cost of operating the energy storage system over the planning period based on the optimal battery power setpoints for each time step of the planning period.

8. The energy storage system of claim 1 , the energy storage controller further comprising computer executable instructions stored in the computer readable medium for implementing the resource allocation planning tool to:

obtain historical data related to the one or more functions of the energy storage system, wherein the historical data is used as an input to the cost function.

9. The energy storage system of claim 1 , wherein the one or more functions of the energy storage system include determining an optimal size for the battery asset.

10. The energy storage system of claim 9 , wherein the cost function accounts for an initial purchase cost of the battery asset and an operating cost of the battery asset.

11. The energy storage system of claim 10 , wherein the initial purchase cost of the battery asset and the operating cost of the battery asset are functions of a battery size variable in the cost function.

12. The energy storage system of claim 11 , the energy storage controller further comprising computer executable instructions stored in the computer readable medium for implementing the resource allocation planning tool to:

determine an optimal value for the battery size variable.

13. The energy storage system of claim 11 , the energy storage controller further comprising computer executable instructions stored in the computer readable medium for implementing the resource allocation planning tool to:

scale the battery size variable based to a duration of the optimization period.

14. The energy storage system of claim 9 , wherein the cost function accounts for a financial metric that includes at least one of a net present value, an internal rate of return, and a simple payback period.

15. The energy storage system of claim 1 , wherein:

the one or more functions of the energy storage system include accounting for a demand charge during a demand charge period; and

the demand charge is based on a cost of an amount of electricity purchased during the demand charge period.

16. The energy storage system of claim 15 , the energy storage controller further comprising computer executable instructions stored in the computer readable medium for implementing the resource allocation planning tool to:

apply a demand charge mask to the demand charge to cause the planning tool to disregard the electricity purchased outside the demand charge period.

17. The energy storage system of claim 15 , the energy storage controller further comprising computer executable instructions stored in the computer readable medium for implementing the resource allocation planning tool to:

scale the demand charge based on a duration of the optimization period.

18. The energy storage system of claim 1 , wherein the one or more functions of the energy storage system include accounting for a peak load contribution (“PLC”) charge.

19. The energy storage system of claim 18 , wherein the cost function accounts for a PLC cost based on an amount of electricity purchased during coincidental peak (“CP”) hours of the optimization period.

20. The energy storage system of claim 19 , the energy storage controller further comprising computer executable instructions stored in the computer readable medium for implementing the resource allocation planning tool to:

apply a peak hours mask to the PLC cost to cause the planning tool to disregard the electricity purchased outside of projected peak hours.

Assignments (4)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 11, 2023
From: WENZEL, MICHAEL J.; ELBSAT, MOHAMMAD N.; DREES, KIRK H.
To: JOHNSON CONTROLS TECHNOLOGY COMPANY
Reel/Frame 065824/0443 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 11, 2023
From: JOHNSON CONTROLS TECHNOLOGY COMPANY
To: JOHNSON CONTROLS, INC.
Reel/Frame 065824/0531 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 11, 2023
From: JOHNSON CONTROLS, INC.
To: TAURUS DES, LLC
Reel/Frame 065824/0566 →
CHANGE OF NAME Recorded Dec 11, 2023
From: TAURUS DES, LLC
To: CON EDISON BATTERY STORAGE, LLC
Reel/Frame 065844/0456 →
Continuity (5)
Continuation 17493071 · Oct 4, 2021
Continuation 16580385 · Sep 24, 2019
Continuation 15474511 · Mar 30, 2017
Provisional Application 62467426 · Mar 6, 2017
Related Publication 20240053715A1 · Feb 15, 2024