An Analytic Approach to Operational Data for Generating Performance Map of a Gas Turbine Compressor

The accuracy of gas turbine performance prediction depends on the precision of the performance map. An accurate performance map is crucial for maintaining the gas turbine compressor's efficiency and stability across diverse operating conditions. Traditionally, performance maps have been created by manufacturers based on experimental data. This study aims to generate a gas turbine compressor performance map using actual operational data from power plants instead of experimental data. To achieve this, Gas Path Analysis (GPA) was implemented to calculate and correcte performance parameters according to external conditions, resulting in a more accurate performance map. Our research consists of the following steps. First, a virtual performance map was used to construct a virtual dataset to validate the accuracy of the GPA was performed using the virtual dataset, and the results were compared with the virtual data to verify the accuracy of the GPA. Next, actual operational data from power plants were applied, and extensive filtering and GPA were used to calculate the gas turbine performance parameters. Based on these performance parameters, correction criteria for operating points were established, and fitting techniques were employed to generate the performance map. Finally, the accuracy of the generated performance map was evaluated through off-design analysis and compared with actual operational data. This validation confirmed that the performance map accurately reflects various operating conditions and effectively predicts performance variations.