A method for combustion tuning, comprises collecting exhaust parameters indicating combustion status of a boiler by a sensor array; determining whether the exhaust parameters of the boiler match a preset optimization target; and optimizing combustion, if the exhaust parameters do not match the preset optimization target by selecting a model from a model repository based on a current boiler condition, wherein the model corresponds to a relationship between model input variables and the exhaust parameters; determining at least one optimized model input variable of the boiler for realizing the optimization target, based on the selected model; and adjusting actuators of the boiler according to the optimized model input variable.

A method for combustion tuning, comprises collecting exhaust parameters indicating combustion status of a boiler by a sensor array; determining whether the exhaust parameters of the boiler match a preset optimization target; and optimizing combustion, if the exhaust parameters do not match the preset optimization target by selecting a model from a model repository based on a current boiler condition, wherein the model corresponds to a relationship between model input variables and the exhaust parameters; determining at least one optimized model input variable of the boiler for realizing the optimization target, based on the selected model; and adjusting actuators of the boiler according to the optimized model input variable.

A boiler coal saving control method includes a linear relation model creating step, an optimization target determination step, and a machine learning step. The linear relation model creating step includes creating a multi-grade model grading mechanism and creating linear relation models accordingly so as to fill an empty set in a data set. The multi-grade model grading mechanism includes performing primary grading based on boiler load, coal quality, and ambient temperature, and secondary grading based on boiler load. The optimization target determination step includes determining a boiler optimization target that includes boiler combustion efficiency and a nitrate concentration control value for flue gas. The machine learning step performs machine learning according to a data source and includes a model numbering sub-step, an ontology determination sub-step, and a target optimization sub-step. The control method uses machine learning to provide an operation recommendation for improving boiler combustion efficiency and thereby saving coal.

The invention is in the field of boiler control and relates to a control method for the operation of a combustion boiler, comprising providing a predetermined upper limit (VF,max) for the flue gas velocity in at least one location of the boiler; monitoring the flue gas velocity (VF) during the combustion of fuel in said at least one location of the boiler; comparing the flue gas velocity (VF) with the predetermined upper limit (VF,max); decreasing the thermal load of the boiler if the flue gas velocity exceeds the predetermined upper limit (VF,max). The invention also relates to a control system configured to execute the control method.

A burner system and a retrofit flame control system for an existing burner system are disclosed. The burner system may include burner components, electrodynamic components, and a data interface. The data interface may receive a command for controlling the burner components and prepare a command for controlling the electrodynamic components at least partially based on the command for controlling the burner components.

A burner system and a retrofit flame control system for an existing burner system are disclosed. The burner system may include burner components, electrodynamic components, and a data interface. The data interface may receive a command for controlling the burner components and prepare a command for controlling the electrodynamic components at least partially based on the command for controlling the burner components.

Methods and systems for programming and controlling a control system of a gas valve assembly. The methods and systems include programming a control system in an automated manner to establish an air-fuel ratio based at least in part on a burner firing rate. The established air-fuel ratio may be configured to facilitate meeting a combustion constituent set point of combustion constituents in the combustion exhaust. The methods and systems include controlling operation of a combustion appliance based on closed-loop control techniques and utilizing feedback from a sensor measuring combustion constituents in exhaust from a combustion chamber in the combustion appliance. The combustion constituents on which control of the combustion appliance may be determined include oxygen and/or carbon dioxide.

In a method for estimating water content of exhaust gas, a first gas concentration at a first position in an exhaust passage, a second gas concentration at a second position downstream of the first position, and a gas temperature at the second position are obtained. A saturated water vapor at the gas temperature is calculated as a water content at the second position. By using the water content at the second position and the second gas concentration, an excess air amount of a fuel-air mixture supplied to a combustion apparatus is calculated based on a chemical reaction formula of combustion of the mixture. By using the excess air amount and the first gas concentration, a water content at the first position is estimated.

An innovative oxyhydrogen (HHO) burner system including one or more burner systems is provided to eliminate emissions through total combustion. Each burner system includes at least one HHO gas supply and an external natural gas supply, both of which are connected to a gas mixer. A controller regulates the amounts of incoming HHO gas and the natural gas through being mixed. The mixed gas is supplied to each burner assembly with a predetermined pressure and flowrate to generate a flame for the total combustion of the exhaust stream inside the exhaust pipe. With feedback from an exhaust measuring system inside the exhaust pipe adjacent the outlet, the controller can adjust the burner system for optimal operations and achieve total combustion. Thus, by passing the exhaust or gases through a substantial cross-section covered by each flame, emissions can be greatly reduced or eliminated.

A gas burner for use in low-oxygen environments in which the oxygen concentration is insufficient to ensure complete combustion. The burner includes a central air supply that is annularly surrounded by a gas supply, thereby preventing the fuel from burning out with a delay in places where burn-out is detrimental to a system or plant.