Session: 06-11 Advanced Simulation and testing

Paper Number: 153377

A Gas Turbine Performance Simulator Utilising 2D Streamline Curvature Analysis for Axial Flow Turbomachinery 

This paper presents a novel gas turbine performance model based on 2D streamline curvature analysis for axial flow turbomachinery. Unlike those traditional gas-turbine simulation programs used by industrial professionals and academic researchers throughout the turbomachinery community, which utilize component maps or scale ones from a library or different configuration to model off-design gas-turbine component behavior, the present program is able to model a whole GT performance at the design point (DP) and off design points (ODPs) where the performances of compressor and turbine are directly predicted using 2D throughflow (TF) models. This feature is particularly attractive in managing general air system flow or secondary-air-system (SAS) for a high technology aero or industrial engine where the SAS between compressor and turbine are directly connected using the spanwise distribution of pressure and temperature predicted by 2D throughflow, therefore make the predictions of the source and sink pressure gradients more accurate. Combustion was simplified using a 1D model where the combustion efficiency is derived from the combustor loading factor while the pressure loss includes the contributions from cold and hot parts.

The TF treatment of the component performances including compressor and turbine makes it feasible to remove the need for pre-generated component maps. The advantage of this method is that the pressure loss coefficients and deviation angles in each blade row can be adjusted in the TF models to match the CFD prediction or test data, therefore, enables the performance predictions more representative and physically meaningful to the real engine, serving the functionality of the digit-twin of a real gas turbine.

The developed program can predict the performance at the design point, part-load and part-speed conditions. The validation of the code has been carried out using the DP condition and ODPs in the test of a gas turbine, indicating that a good agreement is achieved between the predictions and design intent as well as test data.

Presenting Author: Jason Wu PCA Engineers Ltd

Presenting Author Biography: To add later on.

Authors:

Jason Wu PCA Engineers Ltd
Graham Cox PCA Engineers Ltd