CFD validation of condensation heat transfer in scaled-down small modular reactor applications, Part 1: Pure steam

Bhowmik, Palash K.; Schlegel, Joshua P.; Kalra, Varun; Alam, Syed Bahauddin; Hong, Seung‐Eun; Usman, Shoaib

doi:10.1007/s42757-021-0115-5

Cited by 7 publications

(1 citation statement)

References 27 publications

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“…Bhowmik P K The design method should be validated by comparing experimental results with computational results. The design method should be validated by comparing experimental results with computational results [3]. Habashi W G compared the conventional flat fin and the new hybrid fin cooler by numerical calculations and experimental validation and found that the fin cooler dissipated heat better than the flat fin cooler under the same operating conditions [4].…”

Section: Introductionmentioning

confidence: 99%

Design of an All-electric Bus Cooling System Incorporating Computational Fluid Dynamics

2022

KME

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With the emphasis on renewable energy and environmental protection, new energy vehicles are gradually entering the social space and electric vehicles are once again moving to new heights. The aim of this paper is to investigate the design of a cooling system for a purely electric bus incorporating computational fluid dynamics. This paper follows the principle of "determine the heat source distribution of the prototype -calculate the temperature rise of the prototype -design an optimised cooling structure -analyse the cooling effect -propose the design of the prototype cooling structure". This paper studies the temperature rise and cooling of the prototype, focusing on the effect of different cooling structures on the temperature rise of the prototype. Based on the heat transfer, a finite element model of the engine is established and the losses and heat source distribution of the prototype are calculated by combining empirical equations and MAP diagrams of the engine losses. The heat transfer process of the engine is investigated, including the heat transfer process within and between the components of the prototype in contact with each other, and the convective heat transfer process between the prototype and the fluid contact surface. Based on the CFD (Computational Fluid Dynamics) method, the flow and temperature fields of the physical air-cooled prototype are calculated using the existing CFD mathematical model, and the influence of the flow field of the prototype heat exchanger ventilation duct on the engine temperature rise is analysed. A forced air cooling solution for the prototype was proposed to determine the structure of the vents, the location of the ventilation holes and the size of the cooling fan. The effect of forced air cooling on the temperature rise of the prototype is compared with the effect of natural air cooling. A parallel water jacket should be designed and its structure optimised in order to compare the effect of the water jacket on the temperature rise of the prototype before and after optimisation. Finally, all studies are combined to provide reference recommendations for the design of the prototype cooling structure.

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Section: Introductionmentioning

confidence: 99%

Design of an All-electric Bus Cooling System Incorporating Computational Fluid Dynamics

2022

KME

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CFD validation of condensation heat transfer in scaled-down small modular reactor applications, Part 2: Steam and non-condensable gas

Bhowmik

Schlegel

Kalra

et al. 2021

Exp. Comput. Multiph. Flow

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This paper presents the computational fluid dynamics (CFD) validation and scaling assessment of the condensation heat transfer (CHT) models in the presence of non-condensable gas for the passive containment cooling system (PCCS) of the small modular reactor (SMR). The STAR-CCM+ software with 3D scaled-down SMR containment geometries was used in CFD simulations with steam and non-condensable gas (NCG). The limitations and approximations of the previous studies were resolved to avoid scaling distortion and uncertainties. Air was used as the NCG gas with steam. The multi-component gas model was used to define the steam-NCG mixture, and the condensation-seed parameter was used as the source term for the fluid film model. Three different turbulence models were used to check the heat flux performances and temperature distributions on the coolant side. The heat flux was estimated from the axial coolant bulk temperature, which was identical to the test data reduction method. An implicit-unsteady numerical solver was applied to the conjugate heat transfer models between the gas, liquid, and solid regions. Detailed simulations were performed, and simulation results were validated with the measured parameters experimentally. The condensation heat transfer performance was quantified using non-dimensional numbers and compared for different scaled geometries to identify the scaling distortions.

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Multicomponent gas mixture parametric CFD study of condensation heat transfer in small modular reactor system safety

Bhowmik

Schlegel

2022

Exp. Comput. Multiph. Flow

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CFD validation of condensation heat transfer in scaled-down small modular reactor applications, Part 1: Pure steam

Cited by 7 publications

References 27 publications

Design of an All-electric Bus Cooling System Incorporating Computational Fluid Dynamics

Design of an All-electric Bus Cooling System Incorporating Computational Fluid Dynamics

CFD validation of condensation heat transfer in scaled-down small modular reactor applications, Part 2: Steam and non-condensable gas

Multicomponent gas mixture parametric CFD study of condensation heat transfer in small modular reactor system safety

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