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research-article

Development of a Flexible Turbine Cooling Prediction Tool for Preliminary Design of Gas Turbines

[+] Author and Article Information
Feijia Yin

Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, Netherlands
f.yin@tudelft.nl

Floris S. Tiemstra

Rolls Royce, Darby, United Kingdom
floris.tiemstra@gmail.com

Arvind Gangoli Rao

Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS, Delft, Netherlands
a.gangolirao@tudelft.nl

1Corresponding author.

ASME doi:10.1115/1.4039732 History: Received February 02, 2018; Revised February 18, 2018

Abstract

As the Overall Pressure Ratio (OPR) and Turbine Inlet Temperature (TIT) of modern gas turbines are constantly being increased in the pursuit of increasing efficiency and specific power, the effect of bleed cooling air on the engine performance is increasingly becoming important. During the thermodynamic cycle analysis and optimization phase, the cooling bleed air requirement is either neglected or is modelled by simplified correlations, which can lead to erroneous results. In the current research, a physics-based turbine cooling prediction model, based on semi-empirical correlations for heat transfer and pressure drop is developed and verified with turbine cooling data available in the open literature. Based on the validated model, a parametric analysis is performed to understand the variation of turbine cooling requirement with variation in TIT and OPR of future advanced engine cycles. It is found that the existing method of calculating turbine cooling with simplified correlation underpredicts the amount of turbine cooling air for higher OPR and TIT, thus overpredicts the efficiency of the engine.

Copyright (c) 2018 by ASME
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