Disclosed is a control system for controlling the feed of a solid fuel in a combustion process. The system includes a control unit which is adapted to communicate by way of a communications link in the system, to receive from online measuring instruments online measurement data regarding a fuel coming from a fuel reception unit, and to control a feeding unit for delivering the measured fuel into a fuel silo on the basis of its content model and measurement data.

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.

Systems and methods include a computer-implemented method for real-time flare network monitoring. Real-time flaring volume data is received from relief devices connected to a flare network. The real-time flaring volume data is analyzed in conjunction with heat and material balance information of the relief devices. A comprehensive molar balance is performed based on the analyzing, the balancing including losses/feed percentages for each component of the flare network including the relief devices throughout the flare network. Flaring data for the components is aggregated for each flare header. Real-time flare network monitoring information, including instantaneous component-wise flaring for each flare header in the flare network is provided for display to a user in a user interface.

A control system for a gas turbine includes a controller. The controller includes a processor configured to receive a plurality of signals comprising a temperature signal, a pressure signal, a speed signal, a mass flow signal, or a combination thereof, from sensors disposed in the gas turbine system. The processor is further configured to apply the plurality of signals as input to a heating value model. The processor is also configured to execute the heating value model to derive a heating value for a fuel combusted by the gas turbine system. The processor is additionally configured to control operations of the gas turbine system based on the heating value for the fuel.

A system for controlling a boiler apparatus in a power plant to combust under optimized conditions, and a method for optimizing combustion of the boiler apparatus using the same are provided. The boiler control system may include a modeler configured to create a boiler combustion model, an optimizer configured to receive the boiler combustion model from the modeler and perform the combustion optimization operation for the boiler using the boiler combustion model to calculate an optimum control value, and an output controller configured to receive the optimum control value from the optimizer, and control an operation of the boiler by reflecting the optimum control value to a boiler control logic.

A method of controlling an operating temperature of a first combustion zone of a combustor of a rotary machine includes determining a current operating temperature and a target operating temperature of a first combustion zone using a digital simulation. The method further includes determining a derivative of the current operating temperature with respect to a current fuel split using the digital simulation. The fuel split apportions a total flow of fuel to the combustor between the first combustion zone and a second combustion zone. The method also includes calculating a calculated fuel split that results in a calculated operating temperature approaching the target operating temperature. The method further includes channeling a first flow of fuel to the first combustion zone and a second flow of fuel to the second combustion zone.

A control device is a control device for a gas turbine including a plurality of combustors and is configured to select combustors to ignite in accordance with a target load on the basis of a predictor which defines a relationship between a load and the number and arrangement of combustors to ignite and a combustion temperature.

A method of controlling an operating temperature of a first combustion zone of a combustor of a rotary machine includes determining a current operating temperature and a target operating temperature of a first combustion zone using a digital simulation. The method further includes determining a derivative of the current operating temperature with respect to a current fuel split using the digital simulation. The fuel split apportions a total flow of fuel to the combustor between the first combustion zone and a second combustion zone. The method also includes calculating a calculated fuel split that results in a calculated operating temperature approaching the target operating temperature. The method further includes channeling a first flow of fuel to the first combustion zone and a second flow of fuel to the second combustion zone.

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.

An apparatus for combustion optimization is provided. The apparatus for combustion optimization includes a management layer configured to collect currently measured real-time data for boiler combustion, and to determine whether to perform combustion optimization and whether to tune a combustion model and a combustion controller by analyzing the collected real-time data, a data layer configured to derive learning data necessary for designing the combustion model and the combustion controller from the real-time data and previously measured past data for the boiler combustion, a model layer configured to generate the combustion model and the combustion controller through the learning data, and an optimal layer configured to calculate a target value for the combustion optimization by using the combustion model and the combustion controller, and to output a control signal according to the calculated target value.