Burner system

Abstract

A burner system includes an artificial intelligence executed on a processing element, a burner control system including: a burner, an oxidizer subsystem, and a fuel subsystem. The artificial intelligence is operative to control the burner control system.

What is claimed is: 
     
         1 . A burner system comprising:
 an artificial intelligence executed on a processing element;   a burner control system including:
 a burner, 
 an oxidizer subsystem, and 
 a fuel subsystem; wherein the artificial intelligence is operative to control the burner control system. 
   
     
     
         2 . The burner system of  claim 1 , wherein the burner control system defines a control envelope, and the artificial intelligence is operative to control the burner control system within the control envelope. 
     
     
         3 . The burner system of  claim 1 , wherein the artificial intelligence is further operative to control the burner control system on a trim control curve. 
     
     
         4 . The burner system of  claim 3 , wherein the trim control curve is based on a performance parameter of the burner control system. 
     
     
         5 . The burner system of  claim 3 , wherein the performance parameter includes one or more of a working fluid flow rate, heat rate, efficiency, or power output of the burner system. 
     
     
         6 . The burner system of  claim 3 , wherein the artificial intelligence is further operative to control the burner control system on a control curve, and the trim control curve is based on a deviation from the control curve. 
     
     
         7 . The burner system of  claim 1 , wherein the oxidizer subsystem and the fuel subsystem include one or more control devices operative to supply an oxidizer and a fuel to the burner to support a combustion process within the burner. 
     
     
         8 . The burner system of  claim 1 , wherein the artificial intelligence controls the burner control system based on operational data of the burner system. 
     
     
         9 . The burner system of  claim 1 , wherein the artificial intelligence optimizes combustion efficiency by dynamically adjusting a fuel-to-oxidizer ratio. 
     
     
         10 . The burner system of  claim 1 , wherein the artificial intelligence controls the burner control system based on particle swarm optimization. 
     
     
         11 . The burner system of  claim 1 , wherein the oxidizer subsystem includes a variable speed blower controlled by the artificial intelligence. 
     
     
         12 . A method of operating a burner system with an artificial intelligence executed on a processor comprising:
 receiving, via the artificial intelligence, burner input data;   receiving, via the artificial intelligence, burner performance data;   receiving, via the artificial intelligence, a burner setpoint; and   controlling, via the artificial intelligence, the burner.   
     
     
         13 . The method of  claim 12 , wherein the burner input data comprises one or more of an oxidizer property or a fuel property. 
     
     
         14 . The method of  claim 13 , wherein one or more of the oxidizer property or the fuel property includes one or more of a humidity, a pressure, a temperature, or a chemical composition. 
     
     
         15 . The method of  claim 12 , wherein the burner performance data comprises one or more of a working fluid flow rate, a burner pressure, a flame scanner signal, or a flue gas composition. 
     
     
         16 . The method of  claim 12 , wherein the burner setpoint comprises one or more of a heat rate of the burner or an electrical power demand of a power generation system operatively coupled to the burner. 
     
     
         17 . A method of training an artificial intelligence to operate a burner system comprising:
 operating, via a processor, the burner system;   tuning, via the processor, the burner performance;   receiving, via the processor, burner input data;   receiving, via the processor, burner performance data;   providing, via the processor, the burner input data and the burner performance data to the artificial intelligence to train the artificial intelligence to operate the burner system.   
     
     
         18 . The method of  claim 17 , wherein the burner input data comprises one or more of an oxidizer property or a fuel property. 
     
     
         19 . The method of  claim 18 , wherein one or more of the oxidizer property or the fuel property includes one or more of a humidity, a pressure, a temperature, or a chemical composition. 
     
     
         20 . The method of  claim 18 , wherein the burner performance data comprises one or more of a working fluid flow rate, a burner pressure, a flame scanner signal, or a flue gas composition.