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

Salilew, Waleligne Molla; Karim, Zainal Ambri Abdul; Lemma, Tamiru Alemu; Fentaye, Amare Desalegn; Kyprianidis, Konstantinos

doi:10.3390/s22197150

Cited by 6 publications

(7 citation statements)

References 43 publications

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“…This approach is very powerful as it considers the deviation of specific heat due to the inlet conditions such as ambient temperature, ambient pressure, and humidity [ 40 ]. Design point and off-design model development are the key tasks of developing the gas turbine performance model [ 41 ]. The design point model computes all parameters at each component station while simulating the engine running at design load.…”

Section: Design Point and Off-design Performance Modelmentioning

confidence: 99%

Three Shaft Industrial Gas Turbine Transient Performance Analysis

Salilew

Karim

Lemma

et al. 2023

Sensors

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The power demand from gas turbines in electrical grids is becoming more dynamic due to the rising demand for power generation from renewable energy sources. Therefore, including the transient data in the fault diagnostic process is important when the steady-state data are limited and if some component faults are more observable in the transient condition than in the steady-state condition. This study analyses the transient behaviour of a three-shaft industrial gas turbine engine in clean and degraded conditions with consideration of the secondary air system and variable inlet guide vane effects. Different gas path faults are simulated to demonstrate how magnified the transient measurement deviations are compared with the steady-state measurement deviations. The results show that some of the key measurement deviations are considerably higher in the transient mode than in the steady state. This confirms the importance of considering transient measurements for early fault detection and more accurate diagnostic solutions.

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Section: Design Point and Off-design Performance Modelmentioning

confidence: 99%

Three Shaft Industrial Gas Turbine Transient Performance Analysis

Salilew

Karim

Lemma

et al. 2023

Sensors

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“…As shown in Table 1, to simulate compressor fouling from 0% to 100% fouling severity level, the mass flow must be purposefully decreased at intervals of 0% to −7.5%, and isentropic efficiency was also reduced at intervals of 0% to −2.5%. The flow capacity and isentropic efficiency relationship is 3:1 [41,42]. For instance, the flow capacity and efficiency will drop by −0.75 percent and −0.25 percent, respectively, in a 10 percent low and high-pressure compressor fouling severity level scenario, which means 10% of −7.5% and −2.5%.…”

Section: Physical Fault Simulationmentioning

confidence: 99%

“…Mohd et al[35] recommended the top ten diagnosis set parameters for an RB211-24G three-shaft gas turbine engine. These suggested parameters have been used in[42,43], and they are listed as follows: PT4, T24, P3, T3, P43, P47, T5, FF, N1 and N2. The combined effect of fouling and VIGV drift and erosion and VIGV drift on these measurement parameters is shown in the following graphs.Figure11a-j show how measurement parameters change when components and existing fouling and VIGV drift are combined and how the measurement parameters…”

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confidence: 99%

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

et al. 2023

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This study presents a comprehensive analysis of the impact of variable inlet guide vanes and physical faults on the performance of a three-shaft gas turbine engine operating at full load. By utilizing the input data provided by the engine manufacturer, the performance models for both the design point and off-design scenarios have been developed. To ensure the accuracy of our models, validation was conducted using the manufacturer’s data. Once the models were successfully validated, various degradation conditions, such as variable inlet guide vane drift, fouling, and erosion, were simulated. Three scenarios that cause gas turbine degradation have been considered and simulated: First, how would the variable inlet guide vane drift affect the gas turbine performance? Second, how would the combined effect of fouling and variable inlet guide vane drift cause the degradation of the engine performance? Third, how would the combined effect of erosion and variable inlet guide vane drift cause the degradation of the engine performance? The results revealed that up-VIGV drift, which is combined fouling and erosion, shows a small deviation because of offsetting the isentropic efficiency drop caused by fouling and erosion. It is clearly observed that fouling affects more upstream components, whereas erosion affects more downstream components. Furthermore, the deviation of performance and output parameters due to the combined faults has been discussed.

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“…Health parameters depict the performance changes caused by various defects. The ratio of degraded component isentropic efficiency and mass flow to those that are in good condition are called component health parameters, as shown in Equations ( 12) and ( 13) [39]. It defines that gas turbine performance degradation occurs when the health parameter is less than 1 but not when it is greater than 1 [38].…”

Section: Physical Fault Simulationmentioning

confidence: 99%

“…As shown in Table 7, to simulate compressor fouling from 0% to 100% fouling severity level, the mass flow must be purposefully decreased at intervals of 0% to -7.5%, and isentropic efficiency must also be reduced at intervals of 0% to -2.5%. The flow capacityisentropic efficiency relationship is 3:1 [39]. For instance, the flow capacity and efficiency will drop by -0.75 percent and -0.25 percent, respectively, at a 10 percent low-and high-pressure compressor fouling severity level scenario.…”

Section: Physical Fault Simulationmentioning

confidence: 99%

Studying the Influence of Variable Inlet Guide Vane with the Physical Faults on the Performance of Industrial Gas Turbine at Part-Load Operation

Salilew,

Abdul Karim,

Lemma

2023

ETJ

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Effects of drift, fouling, and erosion on gas turbine efficiency and output are investigated.• Fouling impacts upstream, while erosion affects downstream components in gas turbines.• Research findings support ML-based fault detection for optimal turbine maintenance.This research work presents a gas turbine performance investigation. Researchers have put efforts into this field of study; however, the influence of the concurrence of variable inlet guide vane (VIGV) drift, fouling, and erosion on the three-shaft gas turbine's performance during part-load operation has remained unexplored. Therefore, this study addresses this gap. First the gas turbine design point and offdesign performance model have been developed by utilizing the original engine manufacturer data provided. The accuracy of the models was validated, and the maximum mean absolute percentage error of the design point performance model is shown at exhaust temperature prediction, it is about 1.74%. The off-design performance model was also validated with the power output versus ambient temperature and efficiency versus operating curves. At each operational point, the power output versus ambient temperature error from the validation data was 0.02%, while the efficiency versus ambient temperature error was 4.5%. After the validation, the engine model was subjected to the concurrence of variable inlet guide vane drift, fouling, and erosion conditions to simulate the degradation state.The results show that the highest isentropic efficiency deviation due to component faults occurred in the upstream components, specifically in the low-pressure compressor's (LPC) isentropic efficiency. The deviation recorded due to the concurrence of VIGV drift at -6.5° and 100% fouling severity is -11.47%, whereas 9.65% is the LPC isentropic efficiency deviation recorded when VIGV drift at -6.5° and erosion at 100% severity level simultaneously occurred. In addition, the effects of the faults above on gas path measurements were simulated, and the highest measurement deviation was observed when simultaneous LPC fouling and -6.5% VIGV drift occurred. Among the measurements, the highest deviation was observed in the exhaust temperature and thermal efficiency, about 9.23% and -7.35%, respectively.

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

Cited by 6 publications

References 43 publications

Three Shaft Industrial Gas Turbine Transient Performance Analysis

Three Shaft Industrial Gas Turbine Transient Performance Analysis

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

Studying the Influence of Variable Inlet Guide Vane with the Physical Faults on the Performance of Industrial Gas Turbine at Part-Load Operation

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