Disclosed is a method for calculating combustion in the bed of a waste incinerator. The method is based on a model of combustion in a waste incinerator bed and comprises a water evaporation model, a volatile matter analysis model, a volatile matter combustion model, and a fixed carbon combustion model. The volatile matter of the volatile matter combustion model comprises CO, H.sub.2, CH.sub.4, NH.sub.3, and H.sub.2S. The volatile matter combustion model comprises a combustion reaction equation for said volatile matter and O.sub.2, and respective equations for CO and CH.sub.4 reacting with water vapor. Equations governing the model of combustion in the bed of a waste incinerator comprise a continuity equation, an energy equation, a momentum equation, and a component equation. Boundary conditions of said governing equations comprise: equations of heat transfer and mass transfer from an upper boundary layer of the bed to the exterior; and equations of heat transfer and mass transfer from lower boundary layer of the bed to the exterior.

Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.

Systems and methods include a computer-implemented method for providing flare header information. Instantaneous flaring flowrate data is received from flaring sources of a flare network of a processing facility. The instantaneous flaring flowrate data is analyzed in conjunction with physical properties of relief sources obtained from a heat and material balance of the processing facility. A heating value and a molecular weight are determined for each relief source and flare header using a processing model associated with a relief source type, size, and identifications. The relief sources are connected using a data signal received and processed using the processing model. Reports are generated showing average daily heating values and molecular weights for each flare header. A real-time display is provided for monitoring instantaneous heating values and molecular weights for each flare header on a real-time basis.

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 method for controlling a gas turbine, having a measurement step, a prediction step which is carried out after the measurement step, and a control step which is carried out after the prediction step. In the measurement step, a state variable of a combustion within a gas turbine is measured. In the prediction step, a future combustion dynamic is predicted using the measured state variable. In the control step, a control signal is output using the prediction of the future combustion dynamic.

A combustion simulation system is provided. The combustion simulation system can be performed using a computing device operated by a computer user or artist. The computer-implemented method of simulating a combustion process includes receiving a set of data representing a fluid flow. The fluid flow can include combustion precursors. The method includes simulating a chemical reaction representing simulated combustion of these precursors generating combustion byproducts. The method can include determining a change in temperature of the combustion byproducts due to the chemical reaction, determining a change in molar mass of the combustion byproducts due to the chemical reaction, determining a divergence of the combustion byproducts based on a combination of the change in the temperature and the change in molar mass, and generating data structures of the simulated combustion based on values of the fluid flow.

Systems and methods iteratively solve a fired-systems model of the process heater based on fuel information, a target heat release of the plurality of burners, ambient air information, and available airflow at each of the plurality of burners to identify optimized burner air register settings to achieve a target global excess oxygen level to be sensed by the oxygen sensor. The optimized burner air register settings may be output to a heater controller of the process heater for control of the process heater.

A combustion simulation system is provided. The system receives data representing a fluid flow. The data includes a plurality of combustion precursors, including at least one arbitrary combustion precursor that may not correspond to a physically realizable material. The system simulates a chemical combustion reaction involving the plurality of combustion precursors and generating combustion byproducts. The system determines a change in temperature and a molar mass of the combustion byproducts due to the chemical reaction, and determines a divergence of the combustion byproducts based on a combination of the change in the temperature and the change in molar mass. The system then generates one or more data structures of the simulated combustion based on at least a portion of the fluid flow.

A combustion simulation system is provided. The combustion simulation system can be performed using a computing device operated by a computer user or artist. The computer-implemented method of simulating a combustion process includes receiving a set of data representing a fluid flow. The fluid flow can include combustion precursors comprising at least one arbitrary combustion precursor. The method includes simulating a chemical reaction representing simulated combustion involving the at least one arbitrary combustion precursor and generating combustion byproducts. The method can include determining a change in temperature of the combustion byproducts due to the chemical reaction, determining a change in molar mass of the combustion byproducts due to the chemical reaction, determining a divergence of the combustion byproducts based on a combination of the change in the temperature and the change in molar mass, and generating data structures of the simulated combustion based on values of the fluid flow.

A combustion simulation system is provided. The combustion simulation system can be performed using a computing device operated by a computer user or artist. The system may include a computer-readable medium storing instructions, which when executed by at least one processor, cause the system to receive data representing a fluid flow. The data includes a plurality of combustion precursors, including at least one arbitrary combustion precursor that may not correspond to a physically realizable material. The system simulates a chemical combustion reaction involving the plurality of combustion precursors and generating combustion byproducts. The system determines a change in temperature and a molar mass of the combustion byproducts due to the chemical reaction, and determines a divergence of the combustion byproducts based on a combination of the change in the temperature and the change in molar mass. The system then generates one or more data structures of the simulated combustion based on at least a portion of the fluid flow.