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Research Papers: Gas Turbines: Turbomachinery

Simulation of Full and Part-Load Performance Deterioration of Industrial Two-Shaft Gas Turbine

[+] Author and Article Information
E. Mohammadi

Systems Simulation and Control Laboratory,
School of Mechanical Engineering,
Iran University of Science and Technology (IUST),
Tehran 16846-13114, Iran
e-mail: ehs_mohammadi@iust.ac.ir

M. Montazeri-Gh

Professor
Systems Simulation and Control Laboratory,
School of Mechanical Engineering,
Iran University of Science and Technology (IUST),
Tehran 16846-13114, Iran
e-mail: montazeri@iust.ac.ir

1Corresponding author.

Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received February 12, 2014; final manuscript received February 23, 2014; published online April 18, 2014. Editor: David Wisler.

J. Eng. Gas Turbines Power 136(9), 092602 (Apr 18, 2014) (9 pages) Paper No: GTP-14-1079; doi: 10.1115/1.4027187 History: Received February 12, 2014; Revised February 23, 2014

In this paper, common faults in main components of an industrial two-shaft gas turbine are simulated, and the fault signatures are determined in both part and full-load conditions. As fouling and erosion are the most important and effective causes of performance deterioration in gas turbines (GTs), the effects of these faults on the performance of all three main components including compressor, gas generator turbine, and power turbine are studied and their effects on the overall efficiency of the whole system are analyzed. In this study, the faults simulation is performed by changing the health parameters (flow capacity and isentropic efficiency) of each GT components via modification of the compressor and turbines characteristic curves. The results obtained from the compressor fouling simulation are validated against the published experimental data; the validation results represent acceptable simulation accuracy in estimation of the measurement parameters deviation. Moreover, the fault signatures are determined in full-load conditions, and the effects of the examined faults on the main GT parameters are analyzed; in this way, the key measurement parameters in identification of these faults are introduced. Finally, in order to identify the fault signatures in part-load conditions, the fault implantation process is performed for each 10% reduction in gas turbine loads. Simulation results demonstrate that the fault signatures have different sensitivity to load variations, and thus, these are in general a function of the GT loading conditions.

Copyright © 2014 by ASME
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References

Figures

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Fig. 1

Schematic representation of a two-shaft gas turbine

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Fig. 2

Displacement of an operating point on the compressor map due to compressor degradation

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Fig. 3

Effect of compressor fouling on the compressor map (at fault severity 40%)

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Fig. 4

Effect of turbine erosion on the turbine map (at fault severity 50%)

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Fig. 11

Variation of compressor discharge temperature versus fault severity

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Fig. 12

Variation of power turbine inlet pressure versus fault severity

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Fig. 13

Variation of power turbine inlet temperature versus fault severity

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Fig. 14

Variation of GG turbine inlet temperature versus fault severity

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Fig. 15

Fault signatures for the compressor fouling at fault severity 100% and for different loading conditions

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Fig. 16

Fault signatures for the compressor erosion at fault severity 100% and for different loading conditions

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Fig. 17

Fault signatures for the GG turbine fouling at fault severity 100% and for different loading conditions

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Fig. 18

Fault signatures for the GG turbine erosion at fault severity 100% and for different loading conditions

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Fig. 19

Fault signatures for the power turbine fouling at fault severity 100% and for different loading conditions

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Fig. 20

Fault signatures for the power turbine erosion at fault severity 100% and for different loading conditions

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Fig. 10

Variation of GG turbine speed versus fault severity

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Fig. 9

Variation of compressor discharge pressure versus fault severity

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Fig. 8

Variation of compressor air mass flow versus fault severity

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Fig. 7

Variation of exhaust gas temperature versus fault severity

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Fig. 6

Thermal efficiency variation versus fault severity

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Fig. 5

Comparison of the compressor fouling simulation results and experimental data

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