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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.

Patent No.:

US 10223656 B1

PDFFull Text
Date of Patent:
Mar. 05, 2019

Filed:

May. 09, 2017

Method and system for minimizing time-variant energy demand and consumption of built environment

Applicant:

Conectric, Llc, Lewes, DE (US);

Inventor:

Phillip Kopp, San Diego, CA (US);

Assignee:

Conectric, LLC, Lewes, DE (US);

Attorney:

Procopio, Cory, Hargreaves & Savitch LLP

Primary Examiner:

Robert E Fennema

Assistant Examiner:

Jigneshkumar C Patel

Int. Cl.
CPC ...
G05B 15/02 (2006.01); G01R 1/36 (2006.01); G05B 13/04 (2006.01); G05B 23/02 (2006.01); G06F 17/18 (2006.01); G05F 1/66 (2006.01); G06Q 50/06 (2012.01); H02J 13/00 (2006.01); H02J 50/80 (2016.01); H02J 3/32 (2006.01); H05B 37/02 (2006.01); H02J 3/14 (2006.01); H02J 3/00 (2006.01); H02J 3/38 (2006.01); F24F 11/30 (2018.01); F24F 11/62 (2018.01); G06Q 10/06 (2012.01); H02J 9/06 (2006.01); H02J 15/00 (2006.01); G06F 1/26 (2006.01); H02J 1/00 (2006.01);
U.S. Cl.
CPC ...
G06Q 10/06312 (2013.01); F24F 11/30 (2018.01); F24F 11/62 (2018.01); G01R 1/36 (2013.01); G05B 13/041 (2013.01); G05B 15/02 (2013.01); G05B 23/024 (2013.01); G05B 23/0243 (2013.01); G05B 23/0281 (2013.01); G05B 23/0294 (2013.01); G05F 1/66 (2013.01); G06F 1/26 (2013.01); G06F 17/18 (2013.01); G06Q 50/06 (2013.01); H02J 3/00 (2013.01); H02J 3/008 (2013.01); H02J 3/14 (2013.01); H02J 3/32 (2013.01); H02J 3/382 (2013.01); H02J 9/061 (2013.01); H02J 13/0017 (2013.01); H02J 13/0055 (2013.01); H02J 13/0075 (2013.01); H02J 13/0086 (2013.01); H02J 15/00 (2013.01); H02J 50/80 (2016.02); G05B 2219/24048 (2013.01); H02J 3/383 (2013.01); H02J 3/386 (2013.01); H02J 2001/004 (2013.01); H02J 2003/003 (2013.01); H02J 2003/007 (2013.01); H02J 2003/146 (2013.01); Y02B 70/3225 (2013.01); Y02E 40/76 (2013.01); Y04S 10/54 (2013.01); Y04S 10/545 (2013.01); Y04S 10/60 (2013.01); Y04S 20/222 (2013.01);
Abstract

A computer-implemented method and system is provided. The system manipulates load curves corresponding to time-variant energy demand and consumption of a built environment. The system analyzes a first, second, third, fourth and a fifth set of data. The first set of data is associated with energy consuming devices. The second set of data is associated with an occupancy behavior of users. The third set of data is associated with energy storage and supply means. The fourth set of data is associated with environmental sensors. The fifth set of data is associated with energy pricing models. The system executes control routines for controlling peak loading conditions associated with the built environment. The system manipulates an optimized operating state of the energy consuming devices. The system integrates the energy storage and supply means for optimal reduction of the peak level of energy demand concentrated over the limited period of time.

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