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Numerical Sensitivity Analysis for Supercritical CO 2 Radial Turbine Performance and Flow Field
- Source :
- Energy Procedia. 129:1117-1124
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- The predominant advantage of a supercritical CO2 (SCO2) Brayton cycle is it’s diminished compression work when compared to an ideal working fluid such as helium, due to low compressibility factor. For flows where the density approaches the critical density, molecular interactions get stronger and the ideal gas assumption is no longer appropriate. As a means to investigate the accuracy of real gas models and sensitivity of the performance of a turbomachine on the numerical accuracy in the supercritical region, numerous unsteady simulations of a radial turbine have been performed. Real Gas Properties (RGP) table has been generated to overcome difficulties of instabilities in simulations in the supercritical region. Four Equation of States (EOS) models with different RGP table resolutions have been studied and results are compared with the experimental measurement performed at the Sandia National Laboratory. The studied unshrouded radial impeller has 11 blades while the nozzle has 10 vanes. The unsteady simulation results show the dependency of the predicted radial turbine performance on the RGP table resolution as well as on the implemented EOS models. In general, the results indicate that by using appropriate EOS model and a look up table with high resolution, the CFD can predict turbine performance with high accuracy while the use of some EOS and low resolution look up tables lead to significant deviations between the simulated and measured results. As a result of this study, an appropriate EOS model and sufficient resolution of the look-up table for turbines operating at supercritical region are suggested.
- Subjects :
- Engineering
Real gas
business.industry
020209 energy
Radial turbine
Mechanical engineering
02 engineering and technology
Mechanics
01 natural sciences
Brayton cycle
Turbine
Ideal gas
Supercritical fluid
010305 fluids & plasmas
Physics::Fluid Dynamics
0103 physical sciences
Turbomachinery
0202 electrical engineering, electronic engineering, information engineering
Compressibility factor
business
Subjects
Details
- ISSN :
- 18766102
- Volume :
- 129
- Database :
- OpenAIRE
- Journal :
- Energy Procedia
- Accession number :
- edsair.doi...........dde128f48bffd6d1ea2914c5fbb3edc6