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:
Apr. 07, 2020

Filed:

Dec. 19, 2016
Applicant:

Siemens Aktiengesellschaft, Munich, DE;

Inventors:

Zhen Song, Plainsboro, NJ (US);

Sanjeev Srivastava, Princeton, NJ (US);

Yubo Wang, Pasadena, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/50 (2006.01); G06F 17/11 (2006.01); H02J 7/00 (2006.01); H02J 3/00 (2006.01); H02J 3/14 (2006.01); H02J 3/32 (2006.01); G05B 15/02 (2006.01); B60L 3/00 (2019.01); B60L 58/12 (2019.01); B60L 58/16 (2019.01); G01R 31/392 (2019.01); G01R 31/36 (2020.01);
U.S. Cl.
CPC ...
G06F 17/11 (2013.01); G05B 15/02 (2013.01); H02J 3/00 (2013.01); H02J 3/14 (2013.01); H02J 3/32 (2013.01); H02J 7/0021 (2013.01); H02J 7/0029 (2013.01); H02J 7/0047 (2013.01); H02J 7/0057 (2013.01); B60L 3/0046 (2013.01); B60L 58/12 (2019.02); B60L 58/16 (2019.02); G01R 31/36 (2013.01); G01R 31/392 (2019.01); G05B 2219/2642 (2013.01); H02J 2003/003 (2013.01); H02J 2003/007 (2013.01); H02J 2003/146 (2013.01); Y02E 10/563 (2013.01); Y02E 10/566 (2013.01); Y02E 10/766 (2013.01);
Abstract

A system for calculating total lifecycle costs for a building energy management system includes lifecycle costs for a grid-scale battery system. The system includes a battery lifecycle optimizer configured to provide an optimal battery configuration for a building and a building energy system controller. The building energy system controller receives optimum battery configuration information, information relating to the heat ventilation air conditioning system of the building, intrinsic thermodynamic properties of the building, energy tariff schedules and weather forecast data to forecast a monthly peak demand profile. A simulation is run using a battery model, system model along with tariff and weather information to produce an hourly building energy management plan for minimizing overall energy costs with consideration of system lifecycle costs.


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