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 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.

A combustion control system that collects and accumulates, at predetermined intervals, combustion controlling information including at least a signal indicating an operating state of an ignition device, a signal indicating the supplying state of fuel to a pilot burner, a signal indicating the supplying state of fuel to a main burner, a signal indicating the supplying state of air to the main burner, a flame detection signal indicating the strengths of the flames of the burners (the pilot burner and the main burner), and information indicating presence or absence of the flames determined based on the value of the flame detection signal, and displays the combustion controlling information as trend data of combustion control in a graph in such a form that the relationship between time zones of the combustion sequences from the start of a combustion device to normal combustion and the trend data is understandable.

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.

The aim is to create a facility which is carried out without operator intervention, operates without delay, does not require a connection to the mains and meets the requirements of the regulations on permissible pollutant emissions. The device consists of a control unit which is electrically connected to two temperature sensors and a door contact switch and actuates an actuator via an electric motor and transmission elements. The temperature detection in the flue takes place behind the outlet of the respective combustion chamber. The temperature sensors record the temperature change over time and the speed of the temperature change. The temperature target-actual evaluation serves to record the burning state of the solid fuel. The degree of the outgassing process is carried out by recording and evaluating the temperature rise or temperature drop over time. The target-actual temperature over time in comparison with comparative values for combustion optimization is carried out as an adaptive system. Thus, the respective nature of the solid fuel for the optimal combustion process is taken into account and the necessity of the new feed with solid fuel is determined via the program and displayed via a visual signaling device. The device is used for electronic control for a fireplace with lower burn.

The invention relates to a device that does not require operator intervention, operates without delay, does not require a mains connection, and meets the requirements of the regulations with respect to permissible pollutant emissions. The device consists of a control unit which is electrically connected to two temperature sensors and to a door contact switch and which actuates an actuator by means of an electric motor and transmission elements. The temperature is detected in the flue behind the outlet of the combustion chamber. The temperature sensors record the change in temperature over time and the speed of the change in temperature. The temperature target/actual evaluation is used to record the combustion state of the solid fuel. The degree of the outgassing process is determined by recording and evaluating the increase or decrease in temperature over time. The target/actual temperature over time compared to comparative values for optimising combustion is an adaptive system. Therefore, the composition of the solid fuel is taken into account for the optimum combustion process and the necessity of the new charging with solid fuel is determined by means of the programme and displayed by means of an optical signal transmitter. The device is used for electronic closed-loop control for a fireplace comprising a lower combustion system.

Systems and methods for monitoring and controlling burning operations are provided. A method of one embodiment includes igniting oil or gas with a burner (282) during a burning operation and monitoring the burning operation with a camera (290). This monitoring of the burning operation can include acquiring image data for a flame (290) of the burner via the camera and analyzing the acquired image data to detect image features indicative of combustion of the oil or gas via the burner. Additional systems, methods, and devices are also disclosed.

A method of operating a heat releasing reactor producing product gas. The method includes steps of (a) monitoring a current load of the reactor, (b) finding such a numerical value for a current computational maximum momentary load for which at least one product gas factor computed using currently monitored process data with a numerical model of the reactor fulfills an acceptance condition, and selecting the numerical value as the current computational maximum momentary load, (c) indicating the current computational maximum momentary load to the operator and/or, if the current load is (c1) less than the current computational maximum momentary load, (c1i) indicating the operator that the load may be increased, and/or (c1ii) automatically increasing the load, and/or (c2) greater than the current computational maximum momentary load, (c2i) indicating the operator that the load exceeds the current computational maximum boiler momentary load, and/or (c2ii) automatically reducing the boiler load.

A method of determining a local temperature anomaly in a fluidized bed combustion boiler system that includes at least three temperature sensors together defining a measurement grid, each sensor representing a measurement point, includes monitoring current operation data of the boiler, including measured bed temperature and at least primary air flow, fuel moisture, main steam flow, flue gas oxygen, and bed pressure, preparing a numerical model among operation data, such as primary air flow, fuel moisture, main steam flow, flue gas oxygen, and bed pressure. The measured bed temperatures measurement points are prepared and calibrated. Bed temperatures for the measurement points are monitored using the numerical model. This obtains computed bed temperatures under normal operation conditions, and the measured bed temperatures are compared with the computed bed temperatures for at least some of the measurement points. If an anomaly threshold is exceeded, determining that a local temperature anomaly is present.