Gas turbine predictive emissions modeling, reporting, and model management via a remote framework

A system comprising:

• at least one hardware processor;
• and
• software configured to, when executed by the at least one hardware processor,
• store a model configured to predict emissions of a remote turbomachine based on one or more parameters of the remote turbomachine,
• over a plurality of iterations,
• receive data from the remote turbomachine over at least one network, wherein the data include values of the one or more parameters,
• apply the model to the values of the one or more parameters to output predicted emissions of the remote turbomachine, and
• add the predicted emissions to an emissions history for the remote turbomachine in a memory, and
• monitor the emissions history for compliance with at least one emissions requirement,
• wherein the one or more parameters comprise a percentage of pilot fuel in fuel used by the remote turbomachine,
• wherein the model determines a primary zone temperature of a combustor of the remote turbomachine based on at least one the values of the one or more parameters,
• wherein the model further determines the predicted emissions based on a ratio between the primary zone temperature and the percentage of pilot fuel.

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 percentage of pilot fuel in fuel used by the remote turbomachine, and wherein the physics-based model further determines the predicted emissions based on a ratio between the primary zone temperature and the percentage of pilot fuel.