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. 11, 2023

Filed:

Mar. 05, 2021
Applicant:

Air Products and Chemicals, Inc., Allentown, PA (US);

Inventors:

Sanjay Mehta, Orefield, PA (US);

Pratik Misra, Breinigsville, PA (US);

Assignee:

AIR PRODUCTS AND CHEMICALS, INC., Allentown, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H02J 3/00 (2006.01); G05B 13/02 (2006.01); G05B 13/04 (2006.01); H02J 3/32 (2006.01); H02J 3/38 (2006.01);
U.S. Cl.
CPC ...
H02J 3/004 (2020.01); G05B 13/0265 (2013.01); G05B 13/048 (2013.01); H02J 3/32 (2013.01); H02J 3/381 (2013.01); H02J 2300/20 (2020.01);
Abstract

There is provided a method of determining and utilizing predicted available power resources from one or more renewable power sources for one or more industrial gas plants comprising one or more storage resources. The method is executed by at least one hardware processor and comprises: obtaining historical time-dependent environmental data associated with the one or more renewable power sources; obtaining historical time-dependent operational characteristic data associated with the one or more renewable power sources; training a machine learning model based on the historical time-dependent environmental data and the historical time-dependent operational characteristic data; executing the trained machine learning model to predict available power resources for the one or more industrial gas plants for a pre-determined future time period; and controlling the one or more industrial gas plants in response to the predicted available power resources for the pre-determined future time period.


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