General Electric Company

Exxonmobil Upstream Research Company

Brian Allen Rittenhouse

Karl Dean Minto

Danian Zheng

Daniel Richard Waugh

Scott Charles Evans

Frederick Wilson Wheeler

Jonathan Carl Thatcher

Jason Dean Fuller

Samuel Bryan Shartzer

Samuel Davoust

Justin Allen

Nurali Virani

Aaron Lavene Vorel

Alvaro Enrique Gil

Raul Munoz

Ricardo Zetina

James Huu Phan

A method for assessing or validating wind turbine or wind farm performance produced by one or more upgrades is provided. Measurements of operating data from wind turbines in a wind farm are obtained. Baseline models of performance are generated, and each of the baseline models is developed from a different portion of the operating data. A generating step filters the wind turbines so that they are in a balanced randomized state. An optimal baseline model of performance is selected from the baseline models and the optimal baseline model includes direction. The optimal baseline model of performance and an actual performance of the wind farm or wind turbine is compared. The comparing step determines a difference between an optimal baseline model of power output and an actual power output of the wind farm/turbine. The difference is reflective of a change in the power output produced by the upgrades.

System and method for assessing and validating wind turbine and wind farm performance

A method for evaluating performance of a wind turbine includes operating the wind turbine in a first operational mode. The method also includes generating a first set of operational data relating to the first operational mode. More specifically, the first set of operational data includes, at least, a first parameter and a second parameter. Further, the first and second parameters of the first set are measured during different time periods during the first operational mode. The method further includes changing the first operational mode to a second operational mode. Moreover, the method includes generating a second set of operational data relating to the second operational mode. The second set of operational data also includes, at least, a first parameter and a second parameter. Thus, the method includes determining a performance characteristic of the first and second operational modes based on the first and second sets of operational data.

Offset toggle method for wind turbine operation

In one embodiment, a system includes a drive train starter system. The drive train starter system includes a generator mechanically coupled to a drive train of a gas turbine system and an exciter system electrically coupled to the generator and configured to provide a magnetic field. The drive train starter system additionally includes a load commutated inverter (LCI) electrically coupled to the generator and configured to provide electrical power to the generator and a controller communicatively coupled to the generator, the exciter system, and the LCI. The controller is configured to start up the drive train via the LCI and the generator up to less than a drive train operating speed, wherein the generator is converting electricity into mechanical motion; drive the drive train via a gas turbine up to the drive train operating speed; and to drive the drive train via the generator at the drive train operating speed.

Method and system for startup of gas turbine system drive trains with exhaust gas recirculation

A gas turbine system includes a combustor configured to combust an oxidant and a fuel in the presence of an exhaust gas diluent to produce combustion products, an oxidant supply path fluidly coupled to the combustor and configured to flow the oxidant to the combustor at an oxidant flow rate, and a turbine configured to extract work from the combustion products to produce an exhaust gas used to generate the exhaust gas diluent. The turbine causes a shaft of the gas turbine system to rotate when the work is extracted from the combustion products. The system also includes an electrical generator that generates electrical power in response to rotation by the shaft, and a controller that performs load control in response to a target load by adjusting the oxidant flow rate along the oxidant flow path as a primary load control parameter.

Gas turbine load control system

Embodiments of the present application include a stall detection system for a gas turbine engine. The system may include a compressor and a number of variable stator vanes associated with the compressor. The variable stator vanes may form one or more variable stator vane stages. The system may also include one or more resolvers associated with one or more of the variable stator vanes. The resolvers may be configured to detect a flutter in an angle of the variable stator vanes. The flutter may be indicative of the onset of compressor stall.

Systems and methods for detecting the onset of compressor stall

The present application provides a variable stator vane control system. The variable stator vane control system may include a variable stator vane positioned by an actuator and a trimmer motor, a resolver to determine a position of the variable stator vane, and a controller in communication with the resolver, the actuator, and the trimmer motor to prevent over travel of the variable stator vane.

Variable stator vane control system

Embodiments of the disclosure relate to systems and methods for holding target turbomachine compressor pressure ratio constant while varying the shaft speed. In order to characterize a load compressor and validate the compressor design, the speed of the load compressor can be changed while controlling the compressor operating line and holding the inlet guide vanes at a constant angle. Discharge control valves can be dynamically adjusted to maintain the pressure ratio equal to the operating line over a range of speeds.

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Simpsonville, SC, United States of America

Brian Allen Rittenhouse