CFD analysis of thermal–hydraulic behavior of heavy liquid metals in sub-channels

Xu, Cheng; Tak, Nam-il

doi:10.1016/j.nucengdes.2006.02.001

Cited by 108 publications

(28 citation statements)

References 17 publications

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“…The investigation on the turbulent heat transfer for eutectic alloys of lead and bismuth, conducted by Cheng and Tak [16] refers to an in-depth study about modelling of the turbulent Prandtl number [17][18][19][20] necessary to fully understand these flows. The significance in defining this value is detectable early in the direct influence it exerts in flows with turbulent heat exchange.…”

Section: Empiric Correlation Researchedmentioning

confidence: 99%

Performance of Dish-Stirling CSP system with dislocated engine

Kaliakatsos

Cucumo

Ferraro

et al. 2015

Int J Energy Environ Eng

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In this paper, a Dish-Stirling Concentrating Solar Power (CSP) system was examined in which the engine works no longer as a receiver but is displaced away from it. In this arrangement it is necessary to adopt a heat transfer fluid capable of transmitting the useful power from the receiver to the hot spring in the Stirling engine head. Various components of the system need designing and especially the heat exchanger in charge of transferring power to the engine head thanks to the cooling of the fluid. The Dish-Stirling system under study includes a linear piston Stirling engine of 4 kW total rated power (3 kW thermal and 1 kW electric). The minimum temperature for starting of the engine is 190°C, while the maximum is 565°C. There are many innovative aspects of dish Concentrating Solar Power systems with Stirling engine dislocated, for example, the possibility of using an increased number of engines powered by a single greater dish and energy savings in the solar tracking system. The work covers the search for the most suitable fluids for the purpose, risks and benefit evaluation of fluids never used previously in the field of solar concentration. The heat exchanger sizing was carried out examining different geometric configurations. The study was conducted using a computer and setting up thermo-fluid dynamics simulations in the ANSYS 14.5 environment. Finally, the results were tested and validated through a comparison study with empirical correlations found in the literature.

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Section: Empiric Correlation Researchedmentioning

confidence: 99%

Performance of Dish-Stirling CSP system with dislocated engine

Kaliakatsos

Cucumo

Ferraro

et al. 2015

Int J Energy Environ Eng

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show abstract

“…There is a strong need for reliable predictions of the heat transfer when performing CFD studies of devices employed in a nuclear reactor core, subject to a liquid metal flow. The common assumption of a constant turbulent Prandtl number defined as Pr t ¼ m t =a t , where m t is the turbulent viscosity and a t the eddy heat diffusivity, does not hold for these fluids [5,6]. More sophisticated models need to be developed and tested to overcome these difficulties and to obtain valuable predictions of the turbulent heat transfer in liquid metal flows.…”

Section: Introductionmentioning

confidence: 99%

A k–Ω–kθ–
Vià
¹
,
Manservisi
²
,
Menghini
³

2016
International Journal of Heat and Mass Transfer
23
0
14
0
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“…It is well known that when the standard SED model is adopted with low Prandtl numbers the obtained values of heat transfer are very different from the experimental ones. This problem can be solved by specifying the P r t for each geometry or using a more sophisticated turbulence model in order to define the proper thermal characteristics time scales [1,2,3,4,5].…”

Section: Introductionmentioning

confidence: 99%

Numerical Validation of a Four Parameter Logarithmic Turbulence Model

Cerroni¹,

Vià²,

Manservisi³

et al. 2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Abstract. Computational Fluid Dynamics codes are used in many industrial applications in order to evaluate interesting physical quantities, such as the heat transfer in turbulent flows. Commercial CFD codes use only turbulence models with an imposed constant turbulent Prandtl number P r t , which can give accurate results only for simulations when a strong similarity between the velocity field and the temperature field can be assumed. For fluids with a low Prandtl number, as for heavy liquid metals, a constant turbulent Prandtl number leads to an overestimation of the heat transfer, so experimental results and Direct Numerical Simulation cannot be reproduced. In this work we propose a new k-Ω-k θ -Ω θ turbulence model as an improvement of the k-ω-k θ -ω θ turbulence model, already validated by the authors, where Ω and Ω θ are calculated as the natural logarithm of the variables ω and ω θ . With this reformulation of the previous turbulence model we obtain some important advantages in numerical stability and robustness of the code. Results for the simulations of fully developed turbulent flows in two and three dimensional geometries are reported and compared with experimental correlations and DNS data, when available.

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CFD analysis of thermal–hydraulic behavior of heavy liquid metals in sub-channels

Cited by 108 publications

References 17 publications

Performance of Dish-Stirling CSP system with dislocated engine

Performance of Dish-Stirling CSP system with dislocated engine

A k–Ω–kθ–
Vià
¹
,
Manservisi
²
,
Menghini
³

2016
International Journal of Heat and Mass Transfer
23
0
14
0
View full text Add to dashboard Cite

Numerical Validation of a Four Parameter Logarithmic Turbulence Model

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CFD analysis of thermal–hydraulic behavior of heavy liquid metals in sub-channels

Cited by 108 publications

References 17 publications

Performance of Dish-Stirling CSP system with dislocated engine

Performance of Dish-Stirling CSP system with dislocated engine

A k–Ω–kθ–Vià1, Manservisi2, Menghini3 2016International Journal of Heat and Mass Transfer230140View full textAdd to dashboardCite

Numerical Validation of a Four Parameter Logarithmic Turbulence Model

Contact Info

Product

Resources

About

A k–Ω–kθ–
Vià
¹
,
Manservisi
²
,
Menghini
³

2016
International Journal of Heat and Mass Transfer
23
0
14
0
View full text Add to dashboard Cite