Evaluation of component characteristics of a reheat cycle gas turbine using measured performance data

Abstract

In this work, component characteristics of a reheat cycle gas turbine in a commercial combined cycle power plant were evaluated. An inverse performance analysis, in which component characteristic parameters were estimated based on measured performance data, was carried out. The measured parameters were the power, the fuel flow rates of two combustors, and the temperatures and pressures at various locations such as the compressor discharge, exits of both the high-and low-pressure turbines. The estimated parameters from the analysis include the compressor and turbine efficiencies and the inlet air flow rate. The analysis was performed for a wide operation range in terms of the ambient temperature and load, providing a database for the variations of the characteristic parameters with changes in the operating condition. In addition, a sensitivity analysis was performed to examine the influence of the uncertainties of the measured parameters on the estimated parameters. The analysis program can be further developed into a performance diagnosis tool and the obtained component characteristic data can be used as reference database.

Evaluation of Design Performance of the Semi-Closed Oxy-Fuel Combustion Combined Cycle

“…According to their study, the average stage pressure ratio is around 1.2-1.23, which is very similar to that of the state-ofthe-art conventional gas turbines (14-15 stages for a pressure ratio of [17][18]. However, it is quite achievable without critical material reinforcement because temperatures much higher than 500 °C are already available in industrial gas turbines which have a pressure ratio of over 30 [22]. Even though the pressure ratios are high, the compressor discharge temperature is acceptable.…”

Demonstration of Model-Based, Off-Line Performance Analysis on a Gas Turbine Air Compressor

“…These new models can accommodate operating points with the flame extending beyond the combustor and combustion occurring in the turbine. Further, this combination of effects does not appear to have been considered in the open literature (e.g., [3][4][5].). The general form of the component models are calibrated simultaneously using experimental data and numerical optimization techniques, and reductions in model complexity are then evaluated.…”