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Numerical Study on Indoor Air Quality of Commercial Kitchen in China Xiaotan Hou1,2,a, Angui Li 1,b, Zhihua Wang 1,3,c, Yujiao Zhao 1,d 1Xi’an University of Architecture and Technology, Shaanxi, Xi’an,710055, China 2Hefei University of Technology, Tunxi Road No.193 Hefei, 230009, Anhui.China 3Xi'an Jiaotong University, 28 Xian Ning Road, Xi'an 710049, China awaterhxt@126.com, b liag@xauat.edu.cn, cZHWang3123@stu.xjtu.edu.cn, dasaall@sina.com Key words: CFD, Commercial kitchen, IAQ, Displacement ventilation Abstract: Indoor air quality of commercial kitchen is investigated and analyzed through velocity, temperature, humidity, and CO2 concentration under different air change rate and supply air temperature. the best air change rate is 30 times per hour and air supply temperature is 301.15K for kitchen, the mean value of the minimum velocity and standard deviation is 0.410m/s and 0.129 respectively, the maximum of the average concentration of CO2 is 659.78ppm, which is less than the
(a) 30 times (b) 35 times (c) 40 times Fig.4 Indoor CO2 concentration distribution under different air change rate and 26˚C at the plane Z=1.2 m Table 4 Simulation results of different air change rate Air change rate Supply Temperature speed average speed standard deviation Temperature averages Temperature and standard deviation CO2 average CO2 standard deviation drainage efficiency energy utilization coefficient 30 26 0.413 0.131 33.58 3.285 659.03 132.73 71.23% 1.258 27 0.411 0.130 33.98 3.368 659.78 133.51 71.24% 1.302 28 0.410 0.129 34.36 3.464 660.65 134.17 71.24% 1.352 35 26 0.461 0.166 33.82 3.430 645.72 131.84 71.84% 1.216 27 0.448 0.171 33.01 3.225 647.10 140.76 71.84% 1.095 28 0.446 0.169 33.48 3.294 659.33 135.13 71.85% 1.123 40 26 0.516 0.205 34.16 3.511 634.62 129.93 72.35% 1.180 27 0.514 0.203 34.65 3.571 635.73 130.36 72.36% 1.206 28 0.513 0.201 35.14 3.651 636.70 130.78 72.36% 1.240 From table 4, with the increase of air change
Numerical Simulation of IAQ under Up-suction Exhaust Hood in Commercial Kitchen[J].Advanced Materials Research Vols. 250-253 (2011) pp 3228-3231

Numerical Simulation Analysis of Monotectic Alloy during Solidification In this paper, the CFD(Computational Fluid Dynamics) commercial software and above-established mathematical model are used to achieve the numerical analysis of Al-5wt% Pb alloy and Al-10wt% Pb alloy in monotectic alloy immiscible regions during solidification process, with the same alloy size and cooling condition.
In addition, the geometric model established in numerical simulation, the meshing and the whole process of numerical simulation computation are simplified under the premise that the simulated result is guaranteed to be stable and reliable.
Modelling and simulation of the microstructure formation in a strip cast Al-Pb alloy ,J.
Simulation and analysis of liquid-liquid separation mechanism of hypermonotectic Al-Bi alloy, J.
Model for Solidification Microstructure Simulation of Ag-Cu Alloy,J.

It has three important features comparing with the other conventional CFD models: (i) the convection operator (or streaming operator) in phase space (or velocity space) is linear.
A parabolic inlet velocity profile for flow entering to the channel was assumed for the present simulations.
Computational simulations were performed for Re = 300, and the grids are 120´120.
A two dimensional D2Q9 BGK model was used in the simulation.
In order to confirm the accuracy of the present LBM simulations, we also did the work.

Through the numerical simulation flow field, find the cause of the original pipe elbow cross section resistance.
Gavelli, et al., Application of CFD (Fluent) to LNG spills into geometrically complex environments, J.Hazard.

Simulation of LED products was shown in Fig. 1(b), where an thermal via was also effective to the heat dissipation.
Fig. 1 Numerical simulation of LED Experimental procedure Fig. 2(a) showed the test vehicles embedded with thermal via, where the sizes of via were ranged 0.2~0.8mm and the pitches were 1~5mm.
Aizar Abdul Karian, Thermal analysis of LED package, Microelectronics International(MI) 23/1 (2006) 19-25 [6] Victor Adrian Chiriac, Tien-Yu Tom Lee, Thermal Assessment of RF Integrated LTCC Front End Module (FEM), Inter Socitey Conference on Thermal Phenomens, 2002 [7] Darvin Edwards, Paul Hundt., Thermal Performance of Tape Based Ball Grid Array Over Molded Packages, IEEE, 1998, Page 738-743 [8] Evaluating Thermal Characteriaztion Accuracy Using CFD Codes-A Package Level Benchmark Study of Icepak and Flotherm, Bret A.Zahn, IEEE, 1998, Page 322-329 [9] Thermal Analysis of High Power LTCC LED with different Heat-via

Current design practice is mainly empirical and simulation, but both of them have dissimilarity.
Meanwhile the numerical method, such as the Boundary Element Method (BEM), Computational Fluids Dynamic (CFD) and the Finite Element Method (FEM) are widely used in commercial software [2-4].
Fischer, Acoustics Simulation of Exhaust System by Coupled FEM and Fast Multipole BM, Twelfth International Congress on Sound and Vibration, Department of Mechanical, Polytechnic Institute and State University, (2005) [4] T.W.

A FEM model for the simulation of the process was set up using the commercial code Deform 2D.
On the other hand, a computational fluid dynamics (CFD) approach was used by Gerlich et al. [18] to model FSSW.
The approach followed to set up the simulations is based on an analytical model for the heat flux calculus.
The main aspect of the FEM model set up for this work is a 2D approach used for the simulation of a 3D problem.
This solution resulted in very fast simulations, if compared with 3D FSSW simulations that usually require several hours or even days for the computation.

The results agree with the results of ANSYS heat flow field simulation.
Research shows that using heat flow field module of ANSYS simulation seepage field to serve research seepage field of well is a kind of general method.
Fig.1 Geometric model of perforation completion Fig.2 Finite element mesh modelof perforation completion This paper uses ANSYS's CFD of coordinating subdivision algorithm and independent subdivision algorithm to divide the mesh.
Fig.11 Electric Simulation Experiment Devic Fig.12 Measured and Theoretical Pressure Distribution Curve The contrast curve of pressures between the numerical simulation and the electrical analog along the direction of the perforation is shown in Fig.14.It can be seen from the Fig.14 that the pressure curve of the electrical analog changes largely at 1~1.2d and leveled off after 1.2d,which is coincident with the temperature field in ANSYS simulating the change law of the pressure field in Fig.14.Thus proves the accuracy of finite element simulation in ANSYS .
(5) The results of electrical analog and the numerical simulation of ANSYS show that using the thermal module of ANSYS to simulate the seepage field can be used as a generic method to study the seepage problems near the bottom of oil and gas wells.

The commercial CFD software ANSYS-FLUENT© was used to solve this numerical problem with the governing differential equations discretized by a control volume approach.
Simulations found that by increasing the nanoparticle volume fraction, heat transfer can be increased.
Hooman, Numerical simulation of natural convection and mixed convection of the nanofluid in a square cavity using Buongiorno model, Powder Technology, 268 (2014) 279-292

The concentration fields of Zn, ZnO, and O2 were analyzed by CFD simulation.
In order to explain the morphologies evolution, the simulation was performed using FLUENT 6.3.26 software.