Predicting the Performance Deterioration of a Three-Shaft Industrial Gas Turbine

Abstract

The gas turbine was one of the most important technological developments of the early 20th century, and it has had a significant impact on our lives. Although some researchers have worked on predicting the performance of three-shaft gas turbines, the effects of the deteriorated components on other primary components and of the physical faults on the component measurement parameters when considering the variable inlet guide valve scheduling and secondary air system for three-shaft gas turbine engines have remained unexplored. In this paper, design point and off-design performance models for a three-shaft gas turbine were developed and validated using the GasTurb 13 commercial software. Since the input data were limited, some engineering judgment and optimization processes were applied. Later, the developed models were validated using the engine manufacturer’s data. Right after the validation, using the component health parameters, the physical faults were implanted into the non-linear steady-state model to investigate the performance of the gas turbine during deterioration conditions. The effects of common faults, namely fouling and erosion in primary components of the case study engine, were simulated during full-load operation. The fault simulation results demonstrated that as the severity of the fault increases, the component performance parameters and measurement parameters deviated linearly from the clean state. Furthermore, the sensitivity of the measurement parameters to the fault location and type were discussed, and as a result they can be used to determine the location and kind of fault during the development of a diagnosis model.

Three Shaft Industrial Gas Turbine Transient Performance Analysis

“…The most common causes of gas turbine performance drops are fouling and erosion [ 46 ]. Fouling, which typically accounts for more than 70% of the overall degradation of engine performance over the period of operation, is one of the most common causes of component deterioration [ 47 , 48 , 49 ]. Thus, in this paper, fouling and erosion were simulated in the transient operation.…”

Synergistic Effect of Physical Faults and Variable Inlet Guide Vane Drift on Gas Turbine Engine

“…The remaining input parameters were gathered from scientific journal papers, and during model optimization, engineering judgments and estimated values were used. The input data presented in the paper [19] were used to develop the engine design point performance model and to calculate all the gas path parameters. Using the optimization parameters, constraints, parameters, and figure of merit listed in paper [19], the model has been tuned.…”

“…The input data presented in the paper [19] were used to develop the engine design point performance model and to calculate all the gas path parameters. Using the optimization parameters, constraints, parameters, and figure of merit listed in paper [19], the model has been tuned.…”

“…Therefore, stability is ensured, and performance is improved by removing compressor surge phenomena using the VIGVs and bleed control system. Variable geometry mechanism faults, axial compressor fouling, and increasing ambient temperature may also contribute to degradation [19]. Different connections attached to guiding vanes are used as part of an actuation system to regulate the VIGVs [20].…”

The Effect of Physical Faults on a Three-Shaft Gas Turbine Performance at Full- and Part-Load Operation

“…A hybrid approach, which is a combination of two or more data-driven approaches, is used to offset one’s technique limitation. Because there is always a trade-off when choosing a diagnostic approach, including accuracy, computational performance, and measurement noise, a model-based approach is recommendable because of its flexibility and noise-free nature [ 18 ]. Model-based methods will be the focus of this study since fast decision-making, ensuring efficient, robust, trustworthy, and real-time diagnosis, is essential.…”