Granted Patent
B2
US 12,560,346 · App. 17/509,990 · Granted Feb 24, 2026
Building control systems with optimization of equipment life cycle economic value while participating in IBDR and PBDR programs
Inventors:
Kirk H. Drees (Cedarburg, WI); Michael J. Wenzel (Oak Creek, WI); Robert D. Turney (Watertown, WI)
Assignee:
Johnson Controls Technology Company
F24F11/46F24F5/0017F24F5/0035F24F11/30F24F11/47F24F11/52F24F11/58F24F11/62F24F11/63F24F11/64F24F11/77F24F11/83F24F11/84G05B13/0205G05B15/02G05B19/406G06Q50/06H02J3/00H02J3/003H02J3/008H02J3/14H02J3/28H02J3/32H02J3/38H02J3/40H02J7/35H02J13/00001H02J13/00028H02S40/32F24F2005/0025F24F2005/0067F24F2110/10F24F2130/00F24F2130/10F24F2140/50F24F2140/60G05B2219/2642G05B2219/49068H02J3/381H02J15/00H02J2203/20H02J2300/24H02J2310/64Y02A30/272Y02B10/10Y02B10/20Y02B70/3225Y02B90/20Y02E10/56Y02E40/70Y02E60/00Y02E60/14Y02E70/30Y04S10/123Y04S10/50Y04S20/12Y04S20/222Y04S40/20
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Abstract
A method includes determining control setpoints for equipment based on a time-varying availability of green energy and revenue from an incentive program of an energy provider. The method also includes controlling the equipment using the control setpoints.
Claims (12)
1 . A control system comprising a processor and non-transitory memory, the memory storing instructions that, when executed by the processor, cause the processor to perform operations comprising:
estimating a power usage for a building or campus accounting for a time-varying availability of green energy;
determining a battery control setpoint indicating an amount of power to be stored or discharged by a battery based on a difference between the estimated power usage for the building or campus and a power indicated for an amount of participation in an incentive program of an energy provider, wherein the amount of participation is based upon revenue from the incentive program; and
controlling the battery to store or discharge electricity using the battery control setpoint.
2 . The control system of claim 1 , wherein the time-varying availability of green energy comprises a prediction of a power output of a photovoltaic system.
3 . The control system of claim 1 , wherein determining the battery control setpoint comprises predicting the time-varying availability of green energy.
4 . The control system of claim 3 , wherein predicting the time-varying availability of green energy comprises predicting solar intensity at a photovoltaic field.
5 . The control system of claim 1 , wherein determining the battery control setpoint comprises predicting the time-varying availability of green energy using an autoregressive moving average model or an autoregressive integrated moving average model.
6 . The control system of claim 1 , wherein determining the battery control setpoint comprises predicting the time-varying availability of green energy using a stochastic state-space model.
7 . The control system of claim 1 , wherein the operations further comprise determining a ramp rate for a power converter based on the time-varying availability of green energy.
8 . A system comprising the control system of claim 1 and the battery.
9 . The system of claim 8 , wherein a portion of the control system is remote from the battery.
Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST
Recorded Dec 4, 2025
From: DREES, KIRK H.; TURNEY, ROBERT D.; WENZEL, MICHAEL J.
To: JOHNSON CONTROLS TECHNOLOGY COMPANY
Reel/Frame 073115/0134 →
Continuity (9)
Provisional Application
62239233
· Oct 8, 2015
Provisional Application
62239131
· Oct 8, 2015
Provisional Application
62239231
· Oct 8, 2015
Provisional Application
62239249
· Oct 8, 2015
Provisional Application
62239246
· Oct 8, 2015
Provisional Application
62239245
· Oct 8, 2015
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