Numerical study of single and two-phase models of water/Al2O3 nanofluid turbulent forced convection flow in VVER-1000 nuclear reactor

被引:56
作者
Hadad, Kamal [1 ]
Rahimian, Aref
Nematollahi, M. R.
机构
[1] Shiraz Univ, Dept Nucl Engn, Shiraz, Iran
关键词
Nanofluid; VVER-1000; Forced convection; Single-phase model; Two-phase model; HEAT-TRANSFER; TUBE; MIXTURE;
D O I
10.1016/j.anucene.2013.05.017
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
This is the second in a three-part series of papers on the behavior of nanofluid as a VVER-1000 nuclear reactor coolant, where heat transfer enhancement is studied through the use of homogeneous mixture of nanoparticles with water, so called nanofluid, as the reactor coolant. In the first paper we described the attribution of nanofluids to the neutronic properties of VVER-1000 reactor core. This paper investigates the thermal hydraulic attribution of nanofluid to a VVER-1000 nuclear reactor core. A fuel assembly coolant channel of a VVER-1000 core is modeled using a CFD code and heat transfer coefficient, pressure drop and temperature differences are calculated for water/Al2O3 nanofluid. Numerical predictions using single-phase and two-phase mixture model are presented in this paper. In the one phase model we use thermophysical properties of a homogenized mixture of water and nanofluid while for the two phase model we assume that the nanoparticles flow in separate phase and have their own properties different from water. The results indicate that the two phase model produces more realistic results due to inclusion of spacer grids which raises the turbulence and hence particle motions along the flow. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:287 / 294
页数:8
相关论文
共 23 条
[1]   Prediction of turbulent forced convection of a nanofluid in a tube with uniform heat flux using a two phase approach [J].
Behzadmehr, A. ;
Saffar-Avval, M. ;
Galanis, N. .
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW, 2007, 28 (02) :211-219
[2]   Effect of uncertainties in physical properties on forced convection heat transfer with nanofluids [J].
Ben Mansour, Ridha ;
Galanis, Nicolas ;
Nguyen, Cong Tam .
APPLIED THERMAL ENGINEERING, 2007, 27 (01) :240-249
[3]   Numerical investigation of nanofluids forced convection in circular tubes [J].
Bianco, V. ;
Chiacchio, F. ;
Manca, O. ;
Nardini, S. .
APPLIED THERMAL ENGINEERING, 2009, 29 (17-18) :3632-3642
[4]   A feasibility assessment of the use of nanofluids to enhance the in-vessel retention capability in light-water reactors [J].
Buongiorno, J. ;
Hu, L. W. ;
Apostolakis, G. ;
Hannink, R. ;
Lucas, T. ;
Chupin, A. .
NUCLEAR ENGINEERING AND DESIGN, 2009, 239 (05) :941-948
[5]  
Choi S.U., 1995, ANLMSDCP84938
[6]  
Das SK, 2008, NANOFLUIDS: SCIENCE AND TECHNOLOGY, P1
[7]   PCA-based ANN approach to leak classification in the main pipes of VVER-1000 [J].
Hadad, K. ;
Jabbari, M. ;
Tabadar, Z. ;
Hashemi-Tilehnoee, M. .
KERNTECHNIK, 2012, 77 (05) :365-370
[8]   Neutronic study of nanofluids application to VVER-1000 [J].
Hadad, K. ;
Hajizadeh, A. ;
Jafarpour, K. ;
Ganapol, B. D. .
ANNALS OF NUCLEAR ENERGY, 2010, 37 (11) :1447-1455
[9]   Fuel burnup and fuel pool shielding analysis for Bushehr Nuclear reactor VVER-1000 [J].
Hadad, Kamal ;
Ayobian, Navid .
INTERNATIONAL JOURNAL OF MODERN PHYSICS E, 2006, 15 (04) :925-938
[10]   Enhanced Neural Network Based Fault Detection of a VVER Nuclear Power Plant With the Aid of Principal Component Analysis [J].
Hadad, Kamal ;
Mortazavi, Mojtaba ;
Mastali, Mojtaba ;
Safavi, Ali Akbar .
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2008, 55 (06) :3611-3619