Research Papers: Gas Turbines: Turbomachinery

Performance of Inlet Filtration System in Relation to the Uncaptured Particles Causing Fouling in the Gas Turbine Compressor

[+] Author and Article Information
Uyioghosa Igie

School of Aerospace, Transport and
Manufacturing (SATM),
Cranfield University,
Bedfordshire MK43 0AL, UK
e-mail: u.igie@cranfield.ac.uk

Domenico Amoia, Georgios Michailidis, Orlando Minervino

School of Aerospace, Transport and
Manufacturing (SATM),
Cranfield University,
Bedfordshire MK43 0AL, UK

Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received March 22, 2015; final manuscript received June 22, 2015; published online August 25, 2015. Assoc. Editor: Klaus Brun.

J. Eng. Gas Turbines Power 138(1), 012601 (Aug 25, 2015) (7 pages) Paper No: GTP-15-1105; doi: 10.1115/1.4031223 History: Received March 22, 2015; Revised June 22, 2015

Accounting for the impact of uncaptured particles that cause compressor fouling and subsequently performance degradation when a filter system is in place is often ignored when evaluating the performance of filtration systems. Too often, the emphasis is on capture efficiency and the corresponding differential pressure loss, which are important aspects, however only constitutes a part of the overall impact on the engine performance. The main aim of this study is a first step to quantify the loss that is attributed to compressor fouling by the uncaptured particles, identify a threshold point for which further increase in pressure losses (increasing capture efficiency) no longer yields further increases in fouling levels, and subsequently investigate these respective losses and total losses in a reference high efficiency system (HES) and a hypothetical low efficiency system. Corrected operational data from a 268 MW gas turbine engine were used to evaluate the levels of degradation in the engine at different power settings. With the measured filter media pressure loss during operation and turbomatch (an in-house gas turbine performance simulation software), the impact of power reduction due to pressure loss of the filter was accounted for in the total estimated losses due to engine degradation. That of fouling was calculated based on applicable assumptions, while deducting the loss due to filtration systems from the total loss due to degradation. The study shows the inverse relationship between fouling effects and filter pressure losses as expected. More importantly, it indicates that the higher efficiency system performs better than the low efficiency system, notwithstanding the more dominant impact of higher differential pressure losses. It was also observed that the threshold where fouling effects are zero or negligible is around 800 Pa at high power setting and 600 Pa at lower power setting. In general, for all forms of the degradation using the engine data and simulation software, it is observed that at lower power settings, the impact on the engine is a lot more severe in a single-shaft constant speed operation.

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Fig. 1

Depiction of gas turbine and filter system and uncaptured particles

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Fig. 2

Fouled rotor blades of gas turbine compressors

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Fig. 3

PO variation with time

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Fig. 4

Variation of filter pressure loss with time

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Fig. 5

Percentage change in PO due to correction

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Fig. 6

Relationship between NDMF and PR (engine model)

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Fig. 7

TET variation with time

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Fig. 8

Nondimensional TET frequency distribution

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Fig. 9

Degradation of PO with time for various cases of nondimensional TET

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Fig. 10

Impact of filter media pressure losses on PO for the different cases

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Fig. 11

Impact and levels of fouling at various filter media pressure losses for cases 1 and 3

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Fig. 12

Pressure losses of HES and LES with time

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Fig. 13

Reductions in PO due to pressure losses for the HES

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Fig. 14

Reductions in PO due to fouling for the HES

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Fig. 15

Reductions in PO due to pressure losses for the LES

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Fig. 16

Reductions in PO due to fouling for the LES

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Fig. 17

Total reductions in PO due to filter losses and fouling with their respective proportions




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