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Gas Turbine Modeling for Diagnosis and Control

Supervision of performance in gas turbine applications is important in order to achieve: (i) reliable operations, (ii) low heat stress in components, (iii) low fuel consumption, and (iv) efficient overhaul and maintenance. To obtain good diagnosis performance it is important to have tests which are based on models with high accuracy. A main contribution is a systematic design procedure to construct a fault detection and isolation (FDI) system for complex nonlinear models. To fulfill the requirement of an automated design procedure, a thermodynamic gas turbine package GTLib is developed. Using the GTLib framework, a gas turbine diagnosis model is constructed where component deterioration is introduced. In the design of the test quantities, equations from the de- veloped diagnosis model are carefully selected. These equa- tions are then used to implement a Constant Gain Extended Kalman filter (CGEKF) based test quantity. The test quan- tity is used in the FDI-system to supervise the performance and in the controller to estimate the flame temperature. An evaluation is performed using experimental data from a gas turbine site. The case study shows that the designed FDI-system can be used when the decision about a compressor wash is taken. Thus, the proposed model based design proce- dure can be considered when an FDI-system of an industrial gas turbine is constructed.

Emil Larsson, Jan Åslund, Erik Frisk and Lars Eriksson

Journal of Engineering for Gas Turbines and Power, 2014

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