Research Papers

Computational Fluid Dynamics Simulation of Direct-Contact Condensation Phenomenon of Vapor Jet in Subcooled Water Tank

[+] Author and Article Information
Yu Ji

School of Energy Science and Engineering, Harbin Institute of Technology,
Harbin 150001, China;
Institute of Nuclear and New Energy Technology, Tsinghua University,
Beijing 100084, China
e-mail: jiyu1994joe11@163.com

Hao-Chun Zhang

Mem. ASME School of Energy Science and Engineering, Harbin Institute of Technology,
Harbin 150001, China
e-mail: zhc5@vip.163.com

Yi-Ning Zhang

School of Energy Science and Engineering, Harbin Institute of Technology,
Harbin 150001, China
e-mail: zhangmdc@163.com

Xu-Wei Wang

State Nuclear Power Technology R&D Center,
Beijing 102209, China
e-mail: wangxuwei@snptc.com.cn

Yan Quan

Science and Technology on Reactor System Design Technology Laboratory,
Chengdu 610213, China
e-mail: lrsdt@npic.ac.cn

1Corresponding author.

Manuscript received June 25, 2015; final manuscript received March 10, 2016; published online October 12, 2016. Assoc. Editor: Jovica R. Riznic.

ASME J of Nuclear Rad Sci 2(4), 041004 (Oct 12, 2016) (9 pages) Paper No: NERS-15-1126; doi: 10.1115/1.4033280 History: Received June 25, 2015; Accepted March 29, 2016

The direct-contact condensation (DCC) is a significant phenomenon in a nuclear reactor and its balance facilities, together with some chemical engineering systems. DCC occurs when the vapor is ejected from the nozzle, contacts with subcooled water, and condenses at the interface directly. The DCC phenomenon accompanied with the heat transfer and mass transfer will lead to the temperature and pressure fluctuations in the tank, even some accidents under certain conditions. This paper investigates the transport phenomena concerning the DCC in the subcooled water tank using the computational fluid dynamics (CFD) commercial code, ANSYS-FLUENT, in which the DCC process is simulated with the Euler–Euler framework for two-phase flow, and the simplified Hertz–Knudsen–Schrage relation is adopted to model mass transfer. In the simulation, the flow field and temperature profile are derived. Moreover, the shape and size of the plume jet are also investigated.

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Fig. 1

Schematic view of AP1000 reactor coolant system and passive core cooling system

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Fig. 2

Geometry model of DCC

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Fig. 4

Simulation mesh of the rectangular tank

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Fig. 3

Transverse distribution for longitudinal velocity at two different locations (z1=0.265  m, z2=0.280  m) for different grid densities under a steady state which has 100  m/s of vapor at the inlet section

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Fig. 9

Contour plot of velocity (m/s) at t=0.1  s

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Fig. 5

Schematic view of the validation model and its geometry(X+=x/d0, Z+=z/d0, where d0 is the inner diameter of the tube)

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Fig. 6

Comparison of the radial temperature at different longitudinal locations at t=0.5  s (CFD results versus Takase et al. [28])

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Fig. 7

Variation of velocity in longitudinal direction along the centerline: (a) t=0.1  s; (b) t=0.5  s; (c) t=1.0  s; and (d) t=2.0  s

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Fig. 8

Variation of velocity in transverse direction at the selected longitudinal positions (z=0.26  m, 0.30 m) in condensation case and no-condensation case: (a) t=0.1  s; (b) t=0.5  s; (c) t=1.0  s; (d) t=2.0  s

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Fig. 10

Transverse profiles for temperature at different longitudinal positions (z=0.26  m, 0.30 m) in condensation case and no-condensation case: (a) t=0.1  s; (b) t=0.5  s; (c) t=1.0  s; (d) t=2.0  s

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Fig. 11

Longitudinal profiles for temperature along the centerline: (a) t=0.1  s; (b) t=0.5  s; (c) t=1.0  s; (d) t=2.0  s

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Fig. 12

Longitudinal profiles for volume fraction of vapor along the centerline at different times

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Fig. 13

Contour plot of volume fraction of vapor at t=0.1  s (in the condensation case)



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