A system that includes: a gas turbine having a combustion system; a control system operably connected to the gas turbine for controlling an operation thereof; and a combustion auto-tuner, which is communicatively linked to the control system, that includes an optimization system having an empirical model of the combustion system and an optimizer; sensors configured to measure the inputs and outputs of the combustion system; a hardware processor; and machine-readable storage medium on which is stored instructions that cause the hardware processor to execute a tuning process for tuning the operation of the combustion system. The tuning process includes the steps of: receiving current measurements from the sensors for the inputs and outputs; given the current measurements received from the sensors, using the optimization system to calculate an optimized control solution for the combustion system; and communicating the optimized control solution to the control system.

A method for monitoring a flame of a burner of a lime kiln, including imaging a video stream showing the burner end of the lime kiln; extracting at least one image from the imaged video stream; determining, using a pretrained algorithm, from the at least one image at least one area of interest, wherein the at least one area of interest includes a part of the at least one image showing an area having at least one characteristic portion of the flame and/or burner end; calculating the area of the at least one characteristic portion based on the pixels of the at least one area of interest; and determining at least one quantity of interest based on the calculated area of the at least one characteristic portion.

A flame analytics system that may incorporate a burner, one or more sensors at the burner, a historical database connected to the one or more sensors, a model training module connected to the historical database, and a runtime algorithm module connected to the one or more sensors and the model training module. The runtime algorithm may compare realtime data from the one or more sensors and historical data from the model training module in accordance with a machine learning algorithm. The system may further incorporate a fault detection module connected to the runtime algorithm module, a fault diagnostics module connected to the fault detection module, and an enunciator connected to the fault detection module. The one or more sensors may also include having video or acoustic sensitivity of combustion in the burner.

A flame analytics system that may incorporate a burner, one or more sensors at the burner, a historical database connected to the one or more sensors, a model training module connected to the historical database, and a runtime algorithm module connected to the one or more sensors and the model training module. The runtime algorithm may compare realtime data from the one or more sensors and historical data from the model training module in accordance with a machine learning algorithm. The system may further incorporate a fault detection module connected to the runtime algorithm module, a fault diagnostics module connected to the fault detection module, and an enunciator connected to the fault detection module. The one or more sensors may also include having video or acoustic sensitivity of combustion in the burner.

A method and an assembly for controlling an internal combustion engine having multiple burners is provided. Combustion measurement data is collected in a burner-specific manner for each burner and assigned to a burner identification identifying the respective burner. Performance measurement data of the internal combustion engine is also collected and used to determine a performance value. A machine learning model is trained by means of the combustion measurement data, the associated burner identifications and the performance measurement data, to generate burner-specific control data which optimizes the performance value when the burners are actuated in a burner-specific manner using the control data. The control data generated by the trained machine learning model is output for the burner-specific actuation of the burners.

Technologies are provided for applying energy to a combustion reaction. For example, a method may include supporting a combustion reaction; applying energy to the combustion reaction via one or more control signals; detecting a change in one or more parameters associated with the combustion reaction; comparing the change in the one or more parameters to a database; determining whether the change in the one or more parameters corresponds to a change in the combustion reaction; selecting a change in the one or more control signals from the database; and applying the change in the one or more control signals to change the a value of the energy applied to the combustion reaction responsive to changes in the one or more parameters associated with in the combustion reaction.

Systems and methods for monitoring emissions of a combusted gas are provided. The method includes determining a first net heating value of a flare gas. The method also includes determining a second net heating value of a combustion gas including the flare gas. The second net heating value can be determined based upon the first net heating value and a volumetric flow rate of the flare gas. Based upon the value of the second net heating value, an empirical model or a non-parametric machine learning model can be selected. A combustion efficiency of the combustion gas can be determined using the selected model, the second net heating value, and selected ones of the process conditions and the environmental conditions. Total emissions of the combustion mixture can be further determined from the combustion efficiency and a volumetric flow rate of the combustion gas.

Method, machine, manufacture, composition of matter, article, and improvements thereto, with particular regard to chemically heated hot emitter electric generators, and support thereof. Illustratively, there can be a machine including: a first computer system including a digital computer operably associated with an input device, a memory, and an output device, the computer programmed to carry out operations including: receiving, as information input at said input device, input representing chemically heated hot emitter electromagnetic emissions; computing, from said input, output that can be used for, or to facilitate, operation of chemically heated hot emitter generators.

A gas outlet monitoring system for a boiler system includes a gas probe(s) with a plurality of gas sensing locations wherein each location measures a plurality of parameters of the gas flow, such a oxygen concentration and temperature. The multi-sensor probe includes a tubular lance and a plurality of sensor pods spaced along the lance. Each sensor pod has an oxygen sensor disposed in a first port, and a first temperature sensor disposed in a second port. An enclosure is disposed at one end of the tubular lance. The enclosure has a respective pressure sensor for each oxygen sensor port. A plurality of first tubes passes through the lance between the enclosure and the first port of a respective sensor pod to provide a gas to the respective first port for the purpose of providing cleaning air. A plurality of second tubes passes through the lance between the enclosure and the first port of a respective sensor pod to provide fluid communication between gas in the respective first port and the respective pressure sensor. One pressure sensor is provided for each oxygen sensor.

A flame analytics system that may incorporate a burner, one or more sensors at the burner, a historical database connected to the one or more sensors, a model training module connected to the historical database, and a runtime algorithm module connected to the one or more sensors and the model training module. The runtime algorithm may compare realtime data from the one or more sensors and historical data from the model training module in accordance with a machine learning algorithm. The system may further incorporate a fault detection module connected to the runtime algorithm module, a fault diagnostics module connected to the fault detection module, and an enunciator connected to the fault detection module. The one or more sensors may also include having video or acoustic sensitivity of combustion in the burner.