Numerical simulation, PIV measurements and analysis of air movement influenced by nozzle jets and heat sources in underground generator hall
Numerical simulation, PIV measurements and analysis of air movement influenced by nozzle jets and heat sources in underground generator hall
复制标题
地下发电机房喷嘴射流和热源影响空气运动的数值模拟、PIV测量和分析
DOI:
10.1016/j.buildenv.2017.12.034
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发表时间:
2018-03
影响因子:
7.4
通讯作者:
Tao PF
中科院分区:
文献类型:
--
作者:
Li AG;Ren T;Yang CQ;Xiong J;Tao PF
A research project was undertaken, using Computational Fluid Dynamic (CFD) numerical simulations and Particle Image Velocimetry (PIV) experimental techniques, to investigate air movement influenced by nozzle jets and heat sources in large generator hall of underground hydropower station. The interaction between supply nozzle air jet (inertia force) and thermal plume from heat source (thermal buoyancy) was studied under the design heat source and five different nozzle jet modes: Case1= V/V 0= 0.5, Case2= V/V 0= 0.75, Case3= V/V 0= 1, Case4= V/V 0= 1.25 and Case5= V/V 0= 1.5 (V is the actual velocity of the nozzle jets, V 0 is the design nozzle jet velocity). The air distribution was assessed based on the evaluation indexes. The accuracy and reliability of the CFD prediction was verified by the theoretical formula and PIV experiment. The results show that the first three cases (A r≤ 0.00048) could meet the requirements of industry standards. After comparing with Case1 and Case2, Case3's velocity uniformity coefficient can be reduced by 24.96% and 13.63%; temperature uniformity coefficient can be decreased by 5.10% and 3.77%; energy efficiency coefficient can be raised by 22.61% and 6.83%; the average value of Air Diffusion Performance Index can be raised by 34.51% and 3.98% respectively. It is found that a larger jets velocity does not always ensure better replacement of the indoor air, and vice versa.
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影响因子:
1.5
作者:
Angui Li;Pengfei Tao;Xin Bao;Yujiao Zhao
通讯作者:
Angui Li;Pengfei Tao;Xin Bao;Yujiao Zhao
影响因子:
7.4
作者:
N. Roux;X. Faure;C. Inard;S. Soares;L. Ricciardi
通讯作者:
N. Roux;X. Faure;C. Inard;S. Soares;L. Ricciardi
影响因子:
6.4
作者:
Yanshun Yu;Xianting Li;W. Shi
通讯作者:
Yanshun Yu;Xianting Li;W. Shi
影响因子:
6.7
作者:
Angui Li;Changqing Yang;Tong Ren;Xin Bao;E. Qin;Ran Gao
通讯作者:
Angui Li;Changqing Yang;Tong Ren;Xin Bao;E. Qin;Ran Gao
DOI:
10.1016/j.proeng.2015.09.109
发表时间:
2015
期刊:
Procedia Engineering
影响因子:
--
作者:
Cong Zheng;Jing Liu
通讯作者:
Cong Zheng;Jing Liu