A method for the post-combustion of exhaust gases comprising carbon monoxide from metallurgical processes includes conditioning the exhaust gas prior to post-combustion by metering a combustion gas and/or one additional gas in feedback-controlled fashion. The feedback control depends on the composition of the exhaust gas dependent on the exhaust gas volume flow. A device for post-combustion of exhaust gas during vacuum treatment of liquid steel comprises a flare stack at an exhaust outlet, means for feeding combustion gas to the flare stack, means for feeding an inert gas into the exhaust gas channel of the vacuum pump, means for ascertaining the exhaust gas volume flow and/or for measuring the exhaust gas velocity within the exhaust gas channel, means for analyzing the exhaust gas composition, means for metering the combustion gas and the inert gas, and means for feedback control of the metering of the combustion gas and/or the inert gas dependent on the exhaust gas composition.

This disclosure presents a clean burning flare stack, or gas flare, especially the tip portion thereof. The gas flare tip is air assisted to ensure clean burning. The disclosed gas flare tip provides smokeless clean burning of released gases. For example, the gas flare tip burns the released gases in a lean burning condition such that sufficient air is supplied to the surges of gases. In addition, the gas flare tip, by using a low pressure blower mixing chamber, is capable of handling low pressure gases and high pressure gases. As such, different flow rates may be provided to the gas flare tip when different amounts of low pressure and high pressure flammable gases are mixed with sufficient blower air to provide a clean burning condition. The disclosed smokeless gas flare is thus environmentally friendly and aesthetically appealing.

Disclosed herein are embodiments of a flare control method and a flare apparatus for automatically controlling, in real-time, the flow of one or more of fuel, steam, and air to a flare. The disclosed embodiments advantageously allow for automated control over a wide spectrum of operating conditions, including emergency operations, and planned operations such as startup and shutdown.

Performance optimization of power plants is one of the major challenges. Several machine learning based techniques are available which are used for optimization of the power plants. Coal selection and blending is critical to ensuring optimum operation of thermal power plants. The present disclosure provides a system and method for optimum coal selection for the power plant and power plant optimization. The system mainly comprises two components. First, a coal usage advisory module providing coal usage and blending ratio advice to the operators based on the available coal. The optimization is with respect to the entire power plant operation including its components. And second, a performance optimization advisory module provides operation instruction for boiler, SCR, APH and other power plant equipment based on the implemented coal blend in real-time.

This disclosure presents a clean burning flare stack, or gas flare. The gas flare is air assisted to ensure clean burning. The disclosed gas flare provides smokeless clean burning of released gases. For example, the gas flare burns the released gases in a lean burning condition such that sufficient air is supplied to the surges of gases. In addition, the gas flare, by using a low pressure blower mixing chamber, is capable of handling low pressure gases and high pressure gases. As such, different flow rates may be provided to the gas flare when different amounts of low pressure and high pressure flammable gases are mixed with sufficient blower air to provide a clean burning condition. The disclosed smokeless gas flare is thus environmentally friendly and aesthetically appealing.

In an embodiment, a system includes a gas turbine controller. The gas turbine controller is configured to receive a plurality of sensor signals from a fuel composition sensor, a pressure sensor, a temperature sensor, a flow sensor, or a combination thereof, included in a gas turbine engine system. The controller is further configured to execute a gas turbine model by applying the plurality of sensor signals as input to derive a plurality of estimated gas turbine engine parameters. The controller is also configured to execute a flame holding model by applying the plurality of sensor signals and the plurality of estimated gas turbine engine parameters as input to derive a steam flow to fuel flow ratio that minimizes or eliminates flame holding in a fuel nozzle of the gas turbine engine system.

A burner apparatus and process are described. The burner apparatus includes an inlet chamber in communication with a combustion chamber. A primary conduit delivers fuel gas to the combustion chamber. Each of a plurality of primary tips is located in the throat of the burner tile. Each of a plurality of cavities is disposed on a downstream wall of the burner tile and stabilize the flame. The primary tips have an end port and a lateral port. A secondary conduit provides fuel gas to a plurality of secondary tips. In a passive control mode, the fuel gas to the primary tips and secondary tips is a mixed gas comprising flue gas and fuel gas. In an active mode, valves are provided to proportion the amount of fuel gas fed to the primary tips and the amount of flue gas provided to the secondary tips.

Described herein are embodiments of systems and methods for oxidizing gases. In some embodiments, a reaction chamber is configured to receive a fuel gas and maintain the gas at a temperature within the reaction chamber that is above an autoignition temperature of the gas. The reaction chamber may also be configured to maintain a reaction temperature within the reaction chamber below a flameout temperature. In some embodiments, heat and product gases from the oxidation process can be used, for example, to drive a turbine, reciprocating engine, and injected back into the reaction chamber.

In an embodiment, a system includes a gas turbine controller. The gas turbine controller is configured to receive a plurality of sensor signals from a fuel composition sensor, a pressure sensor, a temperature sensor, a flow sensor, or a combination thereof, included in a gas turbine engine system. The controller is further configured to execute a gas turbine model by applying the plurality of sensor signals as input to derive a plurality of estimated gas turbine engine parameters. The controller is also configured to execute a flame holding model by applying the plurality of sensor signals and the plurality of estimated gas turbine engine parameters as input to derive a steam flow to fuel flow ratio that minimizes or eliminates flame holding in a fuel nozzle of the gas turbine engine system.

The present disclosure relates to systems and methods that are useful for controlling one or more aspects of a power production plant. More particularly, the disclosure relates to power production plants and methods of carrying out a power production method utilizing different fuel chemistries. Combustion of the different fuel mixtures can be controlled so that a defined set of combustion characteristics remains substantially constant across a range of different fuel chemistries.