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Improved GT Fleet Performance Evaluations by Considering Installed Compressor Blading Clearances

[+] Author Affiliations
J. Wäsle, D. Cameron, J. Schabacker

Alstom Power, Baden, Switzerland

Paper No. GT2012-68765, pp. 903-912; 10 pages
doi:10.1115/GT2012-68765
From:
  • ASME Turbo Expo 2012: Turbine Technical Conference and Exposition
  • Volume 3: Cycle Innovations; Education; Electric Power; Fans and Blowers; Industrial and Cogeneration
  • Copenhagen, Denmark, June 11–15, 2012
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-4469-4
  • Copyright © 2012 by Alstom Technology Ltd.

abstract

The product development process for gas turbines relies upon the understanding of the existing engine fleet. For this reason, performance measurement data are regularly collected. The processed data show a remaining scatter, which complicates the direct use of the fleet evaluation results. This scatter can be attributed to e.g. the measurement chain, existing hardware condition, and hardware installation. To understand the true engine performance, the contributing factors behind the scatter must be addressed.

This paper describes the influence of compressor blading clearances on gas turbine performance. Fleet evaluation results are first presented. The scatter in the resulting parameters (i.e.: compressor efficiency and mass flow rate, turbine efficiency) cannot be explained simply by uncertainty in the performance measurement data. Therefore, an empirical model has been developed which correlates measured compressor clearances with deviations in component efficiencies in order to understand the end effect on engine performance.

The evaluation shows a correlation between the weighted average clearances and compressor blading efficiencies. Thus, one of the contributors to the data scatter has been identified and quantified by using the empirical model and statistical analysis. The result demonstrates a method to reduce uncertainties in the fleet data and consequently improve the component understanding.

Copyright © 2012 by Alstom Technology Ltd.

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