Performance analysis of a multi-stage ultra-supercritical steam turbine using computational fluid dynamics

2015 ◽  
Vol 87 ◽  
pp. 352-361 ◽  
Author(s):  
Hyuck Jun Jang ◽  
Soo Young Kang ◽  
Jeong Jin Lee ◽  
Tong Seop Kim ◽  
Seong Jin Park
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Performance Analysis ◽  
Steam Turbine ◽  
Multi Stage

Performance analysis and quantitative design of a flow‐guiding sieve tray by computational fluid dynamics

AIChE Journal ◽  
2019 ◽  
Vol 65 (5) ◽  
pp. e16563 ◽  
Author(s):  
Hongkang Zhao ◽  
Qunsheng Li ◽  
Gangqiang Yu ◽  
Chengna Dai ◽  
Zhigang Lei
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Performance Analysis ◽  
Sieve Tray ◽  
Quantitative Design

Assessment of Loss Correlations for Performance Prediction of Low Reaction Gas Turbine Stages

2008 ◽  
Author(s):  
Ernesto Benini ◽  
Giovanni Boscolo ◽  
Andrea Garavello
Keyword(s):  
Fluid Dynamics ◽  
Experimental Data ◽  
Computational Fluid Dynamics ◽  
Gas Turbine ◽  
Performance Prediction ◽  
Reasonable Accuracy ◽  
Algebraic Models ◽  
Two Stage ◽  
Accurate Model ◽  
Multi Stage

In spite of the remarkable advances in the field of the Computational Fluid Dynamics, algebraic models built upon empirical loss and deviation correlations are still one of the most reliable and effective tools to predict the performance of gas turbine stages with reasonable accuracy, especially when low-reaction, multi-stage architectures are considered. This paper deals with a comparison among some of the most popular loss correlations used by gas turbine manufacturers; such comparison is performed on a two-stage low-reaction turbine for which detailed experimental data are available. An overall assessment on the validity of loss correlations is carried out to help the designer/analyst using the most accurate model when both on- and off-design are to be carried out.

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