US 12,455,075 B2
Gas turbine predictive emissions modeling, reporting, and model management via a remote framework
Henry P. Sepulveda, San Diego, CA (US); Brandon W. Stein, El Cajon, CA (US); Jamaal A. Sanders, La Mesa, CA (US); Stephen E. Theron, San Diego, CA (US); Nathan J. Kirksey, San Diego, CA (US); Ivan R. Carlos, San Diego, CA (US); Christian Di Norscia, Santee, CA (US); Karunakaran Thirumangalam Nadadur, San Diego, CA (US); Vishwas Banglore Vijay Kumar, San Diego, CA (US); and John Charles Torres, San Diego, CA (US)
Assigned to Solar Turbines Incorporated, San Diego, CA (US)
Filed by Solar Turbines Incorporated, San Diego, CA (US)
Filed on Mar. 24, 2022, as Appl. No. 17/703,726.
Prior Publication US 2023/0304664 A1, Sep. 28, 2023
Int. Cl. F23N 5/18 (2006.01); F23N 5/02 (2006.01); G06N 20/00 (2019.01)
CPC F23N 5/184 (2013.01) [F23N 5/022 (2013.01); G06N 20/00 (2019.01); F23N 2005/181 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method of monitoring emissions of a turbomachine with at least one hardware processor, the method comprising:
with the at least one hardware processor:
storing a model configured to predict emissions of a remote turbomachine based on one or more parameters of the turbomachine;
over a plurality of iterations,
receiving data from the remote turbomachine over at least one network, wherein the data include values of the one or more parameters,
applying the model to the values of the one or more parameters to output predicted emissions of the turbomachine,
determining an offset based on a difference between the output predicted emissions determined by the model, and a measured emission of the turbomachine, and adding the predicted emissions adjusted by the offset to an emissions history for the remote turbomachine which is stored in a memory; and
monitoring the emissions history for compliance with at least one emissions requirement;
wherein the model comprises a physics-based model that determines one or more airflow characteristics of the remote turbomachine based on at least one the values of the one or more parameters;
wherein the physics-based model further determines a primary zone temperature of a combustor of the remote turbomachine based on the determined one or more airflow characteristics; and
wherein the one or more parameters comprise a differential pressure of the combustor, and wherein the physics-based model determines the primary zone temperature further based on the differential pressure.