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Research Papers

Computational Fluid Dynamics Prediction of Heat Transfer in Rod Bundles With Water at Supercritical Pressure

[+] Author and Article Information
Andrea Pucciarelli

Dipartimento di Ingegneria Civile e Industriale,
Università di Pisa,
Largo Lucio Lazzarino 2, Pisa 56126, Italy
e-mail: andrea.pucciarelli@yahoo.it

Walter Ambrosini

Dipartimento di Ingegneria Civile e Industriale,
Università di Pisa,
Largo Lucio Lazzarino 2, Pisa 56126, Italy
e-mail: walter.ambrosini@ing.unipi.it

1Corresponding author.

Manuscript received May 20, 2015; final manuscript received July 29, 2015; published online December 9, 2015. Assoc. Editor: Thomas Schulenberg.

ASME J of Nuclear Rad Sci 2(1), 011011 (Dec 09, 2015) (9 pages) Paper No: NERS-15-1090; doi: 10.1115/1.4031201 History: Received May 20, 2015; Accepted August 06, 2015

The paper further explores the application of computational fluid dynamics (CFD) codes for the study of the heat-transfer phenomena involved when working with fluids at supercritical pressure; bundle analysis is considered here in particular. As for previous simulations performed by the authors considering heat-transfer deterioration inside heated tubes, this application points out the limited capabilities of the most commonly used Reynolds-averaged Navier–Stokes models when approaching the heat-transfer deterioration phenomenon. It must be noted that some of the considered experimental conditions, which are very close to the pseudocritical temperature, represent at the same time one of the most challenging situations for the CFD codes and a very common situation if supercritical water-cooled reactors (SCWRs) will be developed. Improvements of the currently available turbulence models are then needed. The paper analyzes the most likely causes of the observed insufficient quality of the obtained predictions. In addition to comparing the measured and calculated wall temperature trends, the effect of the presence of the spacer grids on the turbulent flow is considered. Spacers are in fact very important to assure the structural stability of fuel, though they also affect the flow, generally improving the turbulence conditions in their neighborhood and slightly impairing it in the downstream region. A comparison between predictions performed including or not including the spacers is also performed.

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References

Figures

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Fig. 1

Proposed geometry and considered computational domain, taken from the documentation provided by the benchmark-proposing organization [16]

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Fig. 2

Spacer geometry, taken from the documentation provided by the benchmark-proposing organization [16]

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Fig. 3

Geometry of the problem and particular of the spacers shape, documentation provided by the authors of Ref. [13]

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Fig. 4

Comparison of the calculated wall temperature values with the experimental data

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Fig. 5

Comparison of the calculated ranges with the experimental data

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Fig. 6

Comparison of the calculated values with the experimental data when adopting the AKN (1994) model for Case 1

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Fig. 7

Comparison of the calculated values with the experimental data when adopting the SST κ–ω (1994) model for Case 1

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Fig. 8

Comparison of the calculated values with the experimental data when adopting the AKN (1994) model for Case 2

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Fig. 9

Comparison of the calculated values with the experimental data when adopting the SST κ–ω (1994) model for Case 2

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Fig. 10

Calculated wall temperature trend for Case B1 when considering the spacer grids and adopting the SST κ–ω (1994) model

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Fig. 11

Calculated wall temperature trend for Case B1 when not considering the spacer grids and adopting the SST κ–ω (1994) model

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Fig. 12

Considered section for the analyses of the spacer effect

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Fig. 13

Calculated axial velocity distribution for Case B1 adopting the SST κ–ω (1994) model in the region straddling the spacer at 300 mm

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Fig. 14

Calculated production term of turbulent kinetic energy for Case B1 adopting the SST κ–ω (1994) model in the region straddling the spacer at 300 mm

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Fig. 15

Calculated distribution of turbulent kinetic energy for Case B1 adopting the SST κ–ω (1994) model in the region straddling the spacer at 300 mm

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Fig. 16

Calculated wall temperature trend for Case 1 when considering the spacer grids and adopting the AKN (1994) model

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Fig. 17

Calculated wall temperature trend for Case 1 when not considering the spacer grids and adopting the AKN (1994) model

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Fig. 18

(a) Calculated wall temperature trend for the regions in the vicinity of the thermocouples highlighted in the corresponding sketch. (b) Calculated wall temperature trend for the regions in the vicinity of the thermocouples highlighted in the corresponding sketch

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