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Research Papers: Gas Turbines: Turbomachinery

Computational Fluid Dynamic Simulation of a Supercritical CO2 Compressor Performance Map

[+] Author and Article Information
Enrico Rinaldi

Process and Energy Department,
Delft University of Technology,
Leeghwaterstraat 39,
Delft 2628 CB, The Netherlands
e-mail: e.rinaldi@tudelft.nl

Rene Pecnik

Assistant Professor
Process and Energy Department,
Delft University of Technology,
Leeghwaterstraat 39,
Delft 2628 CB, The Netherlands
e-mail: r.pecnik@tudelft.nl

Piero Colonna

Professor
Aerodynamics, Wind Energy,
Flight Performance and Propulsion Department,
Delft University of Technology,
Kluyverweg 1,
Delft 2629 HS, The Netherlands
e-mail: p.colonna@tudelft.nl

1Corresponding author.

Contributed by the Turbomachinery Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received October 6, 2014; final manuscript received October 22, 2014; published online December 17, 2014. Editor: David Wisler.

J. Eng. Gas Turbines Power 137(7), 072602 (Jul 01, 2015) (7 pages) Paper No: GTP-14-1571; doi: 10.1115/1.4029121 History: Received October 06, 2014; Revised October 22, 2014; Online December 17, 2014

The performance map of a radial compressor operating with supercritical CO2 is computed by means of three-dimensional steady state Reynolds-averaged Navier–Stokes simulations. The geometry investigated is part of a 250 kW prototype which was tested at Sandia National Laboratories (SNL). An in-house fluid dynamic solver is coupled with a lookup table algorithm to evaluate the fluid properties. Tables are generated using a multiparameter equation of state, which ensures high accuracy in the fluid characterization. The compressor map is calculated considering three different rotational speeds (45 krpm, 50 krpm, and 55 krpm). For each speed-line, several mass flow rates are simulated. Numerical results are compared to experimental data from SNL to prove the potential of the methodology.

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References

Angelino, G., 1968, “Carbon Dioxide Condensation Cycles for Power Production,” ASME J. Eng. Power, 90(3), pp. 287–295. [CrossRef]
Feher, E. G., 1968, “The Supercritical Thermodynamic Power Cycle,” Energy Convers., 8(2), pp. 85–90. [CrossRef]
Dostal, V., Hejzlar, P., and Driscoll, M. J., 2006, “High-Performance Supercritical Carbon Dioxide Cycle for Next-Generation Nuclear Reactors,” Nucl. Technol., 154(3), pp. 265–282.
Dostal, V., Hejzlar, P., and Driscoll, M. J., 2006, “The Supercritical Carbon Dioxide Power Cycle: Comparison to Other Advanced Power Cycles,” Nucl. Technol., 154(3), pp. 283–301.
Ishiyama, S., Muto, Y., Kato, Y., Nishio, S., Hayashi, T., and Nomoto, Y., 2008, “Study of Steam, Helium and Supercritical CO2 Turbine Power Generations in Prototype Fusion Power Reactor,” Prog. Nucl. Energy, 50(2–6), pp. 325–332. [CrossRef]
Kim, Y. M., Kim, C. G., and Favrat, D., 2012, “Transcritical or Supercritical CO2 Cycles Using Both Low- and High-Temperature Heat Sources,” Energy, 43(1), pp. 402–415. [CrossRef]
Yamaguchi, H., Sawada, N., Suzuki, H., Ueda, H., and Zhang, X.-R., 2010, “Preliminary Study on a Solar Water Heater Using Supercritical Carbon Dioxide as Working Fluid,” ASME J. Sol. Energy, 132(1), p. 011010. [CrossRef]
Garg, P., Kumar, P., and Srinivasan, K., 2013, “Supercritical Carbon Dioxide Brayton Cycle for Concentrated Solar Power,” J. Supercrit. Fluids, 76, pp. 54–60. [CrossRef]
Iverson, B. D., Conboy, T. M., Pasch, J. J., and Kruizenga, A. M., 2013, “Supercritical CO2 Brayton Cycles for Solar-Thermal Energy,” Appl. Energy, 111, pp. 957–970. [CrossRef]
Turchi, C. S., Ma, Z., Neises, T. W., and Wagner, M. J., 2013, “Thermodynamic Study of Advanced Supercritical Carbon Dioxide Power Cycles for Concentrating Solar Power Systems,” ASME J. Sol. Energy, 135(4), p. 041007. [CrossRef]
Wright, S. A., Radel, R. F., Vernon, M. E., Rochau, G. E., and Pickard, P. S., 2010, “Operation and Analysis of a Supercritical CO2 Brayton Cycle,” Sandia National Laboratories, Livermore, CA, Sandia Report No. SAND2010-0171.
Conboy, T., Wright, S., Pasch, J., Fleming, D., Rochau, G., and Fuller, R., 2012, “Performance Characteristics of an Operating Supercritical CO2 Brayton Cycle,” ASME J. Eng. Gas Turbines Power, 134(11), p. 111703. [CrossRef]
Boncinelli, P., Rubechini, F., Arnone, A., Cecconi, M., and Cortese, C., 2004, “Real Gas Effects in Turbomachinery Flows: A Computational Fluid Dynamics Model for Fast Computations,” ASME J. Turbomach., 126(2), pp. 268–276. [CrossRef]
Colonna, P., Harinck, J., Rebay, S., and Guardone, A., 2008, “Real-Gas Effects in Organic Rankine Cycle Turbine Nozzles,” J. Propul. Power, 24(2), pp. 282–294. [CrossRef]
Harinck, J., Guardone, A., and Colonna, P., 2009, “The Influence of Molecular Complexity on Expanding Flows of Ideal and Dense Gases,” Phys. Fluids, 21(8), p. 086101. [CrossRef]
Harinck, J., Colonna, P., Guardone, A., and Rebay, S., 2010, “Influence of Thermodynamic Models in Two-Dimensional Flow Simulations of Turboexpanders,” ASME J. Turbomach., 132(1), p. 011001. [CrossRef]
Congedo, P. M., Corre, C., and Cinnella, P., 2011, “Numerical Investigation of Dense-Gas Effects in Turbomachinery,” Comput. Fluids, 49(1), pp. 290–301. [CrossRef]
Pecnik, R., Rinaldi, E., and Colonna, P., 2012, “Computational Fluid Dynamics of a Radial Compressor Operating With Supercritical CO2,” ASME J. Eng. Gas Turbines Power, 134(12), p. 122301. [CrossRef]
Pecnik, R., Terrapon, V. E., Ham, F., Iaccarino, G., and Pitsch, H., 2012, “Reynolds-Averaged Navier–Stokes Simulations of the HyShot II Scramjet,” AIAA J., 50(8), pp. 1717–1732. [CrossRef]
Span, R., and Wagner, W., 2003, “Equations of State for Technical Applications. I. Simultaneously Optimized Functional Forms for Nonpolar and Polar Fluids,” Int. J. Thermophys., 24(1), pp. 1–39. [CrossRef]
Lemmon, E. W., McLinden, M. O., and Huber, M. L., 2002, “NIST Standard Reference Database 23: Reference Fluid Thermodynamic and Transport Properties-REFPROP, Version 8.0,” National Institute of Standards and Technology, Standard Reference Data Program, Gaithersburg, MD.
Liou, M.-S., 1996, “A Sequel to AUSM: AUSM+,” J. Comput. Phys., 129(2), pp. 364–382. [CrossRef]
Venkatakrishnan, V., 1995, “Convergence to Steady State Solutions of the Euler Equations on Unstructured Grids With Limiters,” J. Comput. Phys., 118(1), pp. 120–130. [CrossRef]
Kim, S.-E., Makarov, B., and Caraeni, D., 2003, “A Multi-Dimensional Linear Reconstruction Scheme for Arbitrary Unstructured Grids,” AIAA Paper No. 2003-3990. [CrossRef]
Menter, F. R., 1994, “Two-Equation Eddy-Viscosity Turbulence Models for Engineering Applications,” AIAA J., 32(8), pp. 1598–1605. [CrossRef]
Pulliam, T. H., and Steger, J. L., 1985, “Recent Improvements in Efficiency, Accuracy, and Convergence for Implicit Approximate Factorization Algorithms,” AIAA Paper No. 85-0360 [CrossRef].
Rinaldi, E., Pecnik, R., and Colonna, P., 2014, “Exact Jacobians for Implicit Navier–Stokes Simulations of Equilibrium Real Gas Flows,” J. Comput. Phys., 270, pp. 459–477. [CrossRef]
Satish, B., Buschelman, K., Eijkhout, V., Gropp, W. D., Kaushik, D., Knepley, M. G., McInnes, L. C., Smith, B. F., and Zhang, H., 2009, “PETSc: Portable, Extensible Toolkit for Scientific Computation,” http://www.mcs.anl.gov/petsc
Fenghour, A., Wakeham, W. A., and Vesovic, V., 1998, “The Viscosity of Carbon Dioxide,” J. Phys. Chem. Ref. Data, 27(1), pp. 31–39. [CrossRef]
Vesovic, V., Wakeham, W. A., Olchowy, G. A., Sengers, J. V., Watson, J. T. R., and Millat, J., 1990, “The Transport Properties of Carbon Dioxide,” J. Phys. Chem. Ref. Data, 19(3), pp. 763–808. [CrossRef]
Colonna, P., van der Stelt, T. P., and Guardone, A., 2012, “FluidProp (Version 3.0): A Program for the Estimation of Thermophysical Properties of Fluids,” Asimptote, Delft, The Netherlands, http://www.fluidprop.com/
Denton, J. D., 1992, “The Calculation of Three-Dimensional Viscous Through Multistage Turbomachines,” ASME J. Turbomach., 114(1), pp. 18–26. [CrossRef]
ANSYS, 2009, ansys bladegen, Release 13.0 User’s Guide, ANSYS, Inc., Canonsburg, PA.
Shewchuk, J. R., 2002, “Delaunay Refinement Algorithms for Triangular Mesh Generation,” Comp. Geom. Theory Appl., 22(1–3), pp. 21–74. [CrossRef]
Rinaldi, E., Pecnik, R., and Colonna, P., 2013, “Steady State CFD Investigation of a Radial Compressor Operating With Supercritical CO2,” ASME Paper No. GT2013-94580 [CrossRef].
Baltadjiev, N., Lettieri, C., and Spakovszky, Z., 2014, “An Investigation of Real Gas Effects in Supercritical CO2 Centrifugal Compressors,” ASME Paper No. GT2014-26180 [CrossRef].
Lettieri, C., Yang, D., and Spakovszky, Z., 2014, “An Investigation of Condensation Effects in Supercritical Carbon Dioxide Compressors,” 4th International Symposium—Supercritical CO2 Power Cycles, Pittsburg, PA, Sept. 9–10.
He, S., Kim, W. S., and Bae, J. H., 2008, “Assessment of Performance of Turbulence Models in Predicting Supercritical Pressure Heat Transfer in a Vertical Tube,” Int. J. Heat Mass Transfer, 51(19–20), pp. 4659–4675. [CrossRef]
Yoo, J. Y., 2013, “The Turbulent Flows of Supercritical Fluids With Heat Transfer,” Annu. Rev. Fluid Mech., 45(1), pp. 495–525. [CrossRef]
Nemati, H., Patel, A., Boersma, B. J., and Pecnik, R., 2013, “Direct Numerical Simulation of Turbulent Flow With Supercritical Fluid in a Heated Pipe,” International Symposium on Turbulence and Shear Flow Phenomena (TSFP-8), Poitiers, France, Aug. 28–30.

Figures

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Fig. 1

Impeller and diffuser geometry [11]

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Fig. 5

Contours of pressure at 50% of the span and 55 krpm

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Fig. 4

Compressor performance map

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Fig. 3

Average inlet and outlet states. Symbols correspond to 45 krpm (squares), 50 krpm (diamonds), and 55 krpm (triangles).

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Fig. 2

Three-dimensional view of the computational mesh used to model the rotor and the diffuser vanes. The grid counts approximately 8 × 105 cells, which are clustered at the walls to ensure y+≈ 1. Hexahedral cells were used for the blades boundary layers and at the inlet of the rotor, while wedge cells were placed elsewhere. Detailed views are shown for the surface mesh of the rotor main blade, diffuser wedge, and the interface between rotor and diffuser.

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Fig. 6

Main blade leading edge: control volumes where the thermodynamic state is in the VLE region

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Fig. 7

Main and splitter blade trailing edge: control volumes where the thermodynamic state is in the VLE region

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