Numerical analysis of a solar tower receiver tube operated with liquid metals

Marocco, Luca; Cammi, Giorgia; Flesch, Jonathan; Wetzel, Th.

doi:10.1016/j.ijthermalsci.2016.02.002

Cited by 37 publications

(7 citation statements)

References 39 publications

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“…4 (a)). Apart from that, α t,r appears to be independent of the azimuthal location, as suggested by Antoranz et al [5] and Marocco et al [4]. Similarly, α t,ϕ appears to be independent of ϕ except for the singularity at ϕ = π/2.…”

Section: Turbulent Diffusivitymentioning

confidence: 51%

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Non-homogeneous thermal boundary conditions in low Prandtl number pipe flows

Straub¹,

Forooghi²,

Marocco³

et al. 2018

Proceeding of THMT-18. Turbulence Heat and Mass Transfer 9 Proceedings of the Ninth International Symposium on Turbulence Heat

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The effect of non-homogeneous thermal boundary conditions on temperature statistics in low Prandtl number turbulent pipe flows is studied numerically via direct numerical simulations. Two wall heat flux distributions, varying in azimuthal direction and motivated by concentrated solar power systems, are prescribed and their influence on the thermal field is presented. As a reference, also homogeneous thermal boundary conditions are simulated and compared the the non-homogeneous ones. The influence of the azimuthal variation of prescribed wall heat flux is assessed in terms of instantaneous velocity and temperature fields, local and global Nusselt numbers, averaged temperature distributions and the turbulent thermal diffusivity. The global Nusselt number appears to be unaffected by the thermal boundary conditions, whereas the local Nusselt number deviates appreciably.

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Section: Turbulent Diffusivitymentioning

confidence: 51%

“…[2,3]. More recently, numerical simulations also tackle non-homogeneous thermal boundary conditions [4][5][6][7][8]. Nevertheless, there is still a lack of openly available high-fidelity datasets for heat transfer in turbulent pipe flows, especially concerning low Prandtl number fluids.…”

Section: Introductionmentioning

confidence: 99%

Non-homogeneous thermal boundary conditions in low Prandtl number pipe flows

Straub¹,

Forooghi²,

Marocco³

et al. 2018

Proceeding of THMT-18. Turbulence Heat and Mass Transfer 9 Proceedings of the Ninth International Symposium on Turbulence Heat

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show abstract

“…Advanced nuclear reactor designs cooled with liquid metals have been proposed in the Generation IV Forum and some liquid metal fast nuclear reactors have been built and operated [1]. Liquid metal fluid dynamics is also studied in other engineering fields as they are considered possible coolants for new solar power systems [2]. These fluids show low dynamical viscosity with high thermal conductivity and therefore low Prandtl numbers.…”

Section: Introductionmentioning

confidence: 99%

A Logarithmic Turbulent Heat Transfer Model in Applications with Liquid Metals for Pr = 0.01–0.025

2020

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The study of turbulent heat transfer in liquid metal flows has gained interest because of applications in several industrial fields. The common assumption of similarity between the dynamical and thermal turbulence, namely, the Reynolds analogy, has been proven to be invalid for these fluids. Many methods have been proposed in order to overcome the difficulties encountered in a proper definition of the turbulent heat flux, such as global or local correlations for the turbulent Prandtl number and four parameter turbulence models. In this work we assess a four parameter logarithmic turbulence model for liquid metals based on the Reynolds Averaged Navier-Stokes (RAN) approach. Several simulation results considering fluids with P r = 0.01 and P r = 0.025 are reported in order to show the validity of this approach. The Kays turbulence model is also assessed and compared with integral heat transfer correlations for a wide range of Peclet numbers.

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“…Advanced nuclear reactor designs cooled with liquid metals have been proposed in the Generation IV Forum and some liquid metal fast nuclear reactors have been built and operated [1]. Liquid metal fluid dynamics is also studied in other engineering fields as they are considered possible coolants for new solar power systems [2]. These fluids show a low dynamical viscosity with a high thermal conductivity, thus resulting in a low Prandtl number.…”

Section: Introductionmentioning

confidence: 99%

A Logarithmic Turbulent Heat Transfer Model in Applications with Liquid Metals for PR = 0.01-0.025

Vià¹,

Manservisi²,

Giovacchini³

2020

Preprint

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The study of turbulent heat transfer in liquid metal flows has gained interest because of applications in several industrial fields. The common assumption of similarity between the dynamical and thermal turbulence, namely the Reynolds analogy, has been proven to be not valid for these fluids. Many methods have been proposed in order to overcome the difficulties encountered in a proper definition of the turbulent heat flux, such as global or local correlations for the turbulent Prandtl number or four parameter turbulence models. In this work we assess a four parameter logarithmic turbulence model for liquid metals based on RANS approach. Several simulation results considering fluids with Pr = 0.01 and Pr = 0.025 are reported in order to show the validity of this approach. The Kays turbulence model is also assessed and compared with integral heat transfer correlations for a wide range of Peclet numbers.

show abstract

Numerical analysis of a solar tower receiver tube operated with liquid metals

Cited by 37 publications

References 39 publications

Non-homogeneous thermal boundary conditions in low Prandtl number pipe flows

Non-homogeneous thermal boundary conditions in low Prandtl number pipe flows

A Logarithmic Turbulent Heat Transfer Model in Applications with Liquid Metals for Pr = 0.01–0.025

A Logarithmic Turbulent Heat Transfer Model in Applications with Liquid Metals for PR = 0.01-0.025

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