The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 13, 2026

Filed:

Aug. 28, 2018
Applicant:

Johnson Controls Technology Company, Auburn Hills, MI (US);

Inventors:

Ranjeet Kumar, Madison, WI (US);

Michael J. Wenzel, Grafton, WI (US);

Matthew J. Ellis, Milwaukee, WI (US);

Mohammad N. Elbsat, Milwaukee, WI (US);

Kirk H. Drees, Cedarburg, WI (US);

Victor Manuel Zavala Tejeda, Madison, WI (US);

Assignee:

Tyco Fire & Security GmbH, Neuhausen am Rheinfall, CH;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H02J 3/00 (2006.01); G05B 13/04 (2006.01); G06Q 10/0631 (2023.01); G06Q 40/12 (2023.01); G06Q 50/06 (2012.01); H02J 3/14 (2006.01); H02J 3/32 (2006.01); H02J 3/38 (2006.01); H02J 3/40 (2006.01); H02J 3/46 (2006.01);
U.S. Cl.
CPC ...
H02J 3/003 (2020.01); G05B 13/048 (2013.01); G06Q 10/06315 (2013.01); G06Q 40/12 (2013.12); G06Q 50/06 (2013.01); H02J 3/14 (2013.01); H02J 3/32 (2013.01); H02J 3/381 (2013.01); H02J 3/40 (2013.01); H02J 3/466 (2020.01); H02J 2203/20 (2020.01); H02J 2300/24 (2020.01); H02J 2310/64 (2020.01);
Abstract

A building energy system includes equipment configured to consume, store, or discharge one or more energy resources purchased from a utility supplier. At least one of the energy resources is subject to a demand charge. The system further includes a controller configured to determine an optimal allocation of the energy resources across the equipment over a demand charge period. The controller includes a stochastic optimizer configured to obtain representative loads and rates for the building or campus for each of a plurality of scenarios, generate a first objective function comprising a cost of purchasing the energy resources over a portion of the demand charge period, and perform a first optimization to determine a peak demand target for the optimal allocation of the energy resources. The peak demand target minimizes a risk attribute of the first objective function over the plurality of the scenarios.


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