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TECHNICAL PAPERS: Gas Turbines: Controls, Diagnostics, and Instrumentation

Uncertainty Reduction in Gas Turbine Performance Diagnostics by Accounting for Humidity Effects

[+] Author and Article Information
K. Mathioudakis, T. Tsalavoutas

Laboratory of Thermal Turbomachines, National Technical University of Athens, Iroon Plolytechniou 9, Athens 15773, Greece

J. Eng. Gas Turbines Power 124(4), 801-808 (Sep 24, 2002) (8 pages) doi:10.1115/1.1470485 History: Received December 01, 2000; Revised March 01, 2001; Online September 24, 2002
Copyright © 2002 by ASME
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References

Andersen, H., 2000, “Early Detection of Combustor Pulsations and Optimized Operation Through On-Line Monitoring Systems,” ASME Paper No. 2000-GT-0180.
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Razak, A. M. Y, and Carlyle, J. S., 2000, “An Advanced Model Based Health Monitoring System To Reduce Gas Turbine Ownership Cost,” ASME Paper No. 2000-GT-627.
Cloyd, S. T., and Harris, A. J., 1995, “Gas Turbine Performance—New Application and Test Correction Curves,” ASME Paper No. 95-GT-167.
AGARD-AR-332,1995, Recommended Practices for the Assessment of the effects of Atmospheric Water Injestion on the Performance and Operability of Gas Turbines Engines, Sept.
Bird, J., and Grabe, W., 1991, “Humidity Effects on Gas Turbine Performance,” ASME Paper No. 91-GT-329.
Gu, Y. G., and Palmer, J. R., 1985, “A Mathematical Model for Computing the Effects of Air Humidity, Fuel Composition and Gas Dissociation on Gas Turbine Performance and Its Application,” ASME Paper No. 86-GT-114.
Walsh, P. P., and Fletcher, P., 1998, Gas Turbine Performance, Blackwell Oxford, UK.
Dundas, R., Sullivan, D., and Abegg, F., 1992, “Performance Monitoring of Gas Turbines for Failure Prevention,” ASME Paper No. 92-GT-267.
Mathioudakis, K., Stamatis, A., Tsalavoutas, A., and Aretakis, N., 2001, “Performance Analysis of Industrial Gas Turbines for Engine Condition Monitoring,” ImechE J. Power Energy, 215 (A2), p. 1.
Lee, Y. H., and Singh R., 1996, “Health Monitoring of Turbine engine Gas Path Components and Measurements Instruments,” ASME Paper No. 96-GT-242.
Stamatis,  A., Mathioudakis,  K., and Papailiou,  K. D., 1990, “Adaptive Simulation of Gas Turbine Performance,” ASME J. Eng. Gas Turbines Power, 112, pp. 168–175.
Stamatis, A., Mathioudakis, K., Smith, M., and Papailiou, K. D., 1990, “Gas Turbine Component Fault Identification by Means of Adaptive Performance Modelling,” ASME Paper No. 90-GT-376.
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Figures

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Layout of twin shaft gas turbine, used for constituting a component based performance model
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Percentage change of performance related quantities, in function of water/air ratio. Changes evaluates at constant (a) power output, (b) TIT, (c) EGT.
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Percentage change of referred quantities for constant referred load
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Interrelation of compressor delivery temperature and power output for different relative humidity levels, and related uncertainty bands
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Measurement deviations: (a) WAR=0.009 (b) IGV fault. Signatures for N1 constant.
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Deviation of modification factors if humid air data are processed by adaptive model with dry air
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Layout of the SULZER TYPE 10 gas turbine and quantities measured for monitoring
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Daily variations of ambient conditions over a period of a week
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Ambient conditions over a period of a week
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Referred measured quantities for low and high humidity level. Points around Instants A▪ and B•, Fig. 9.
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Comparison of predicted and measured differences for operating conditions of low and high ambient humidity (Instants A and B of Fig. 9)
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Health indices deviation for different levels of humidity, when f1,f2,f5,f6, and f7 are estimated from N1, CDP, CDT, EGT, and W2
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Compressor flow capacity evaluated (a) with a standard humidity of 60%, (b) using actual measured humidity
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Compressor flow capacity, resulting from fouling, and the effect of compressor washes
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Power turbine swallowing capacity evaluated (a) with a standard humidity of 60%, (b) using actual measured humidity

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