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The wind environment of a district is calculated and analyzed with numerical simulation by CFD software Fluent.
Numerical Simulation A district, for example, is shown in Fig. 1.
The CFD software Fluent is used to simulate the wind field around the slab-type buildings.
Simulation results and analysis Through the simulation of the wind field around buildings with different heights, the velocity distribution of different heights works out.
An investigation of flow fields around flanged diffusers using CFD [J].

To validate this numerical simulation USAF Digital DATCOM is used to analyze this aircraft; a comparison between predicted results for this aircraft and Digital DATCOM indicated that this numerical simulation has high ability for predicting the aerodynamics characteristics.
For the present simulation, K-omega SST turbulent model was used for the purpose of turbulence closure.
This model has wide spread popularity among CFD researchers.
First, the CATIA solid model is created to be suitable for CFD analysis.
CFD and digital DATCOM results shows a linear relation, There are differences in pitching moment curves between CFD simulation and DATCOM data which the CFD data shows a steep curve than DATCOM at Fig. 3b.

CFD simulations can provide useful guidelines for obtain the rate of recovery in outlets, which is of interest to the design of hydrocyclones with performance desired.
Air Core Simulation.
Other simulations were done in an attempt to establish air core in this device.
The profile is more clearly defined for simulation LES, Fig.°4 (b).
Results of Simulations in Presence of Air Core.

CFD-based Simulation of the Temperature Distribution in Multi-span Greenhouse with Warm Air Heating System Hengsong Jia Qian Wangb Zeyu Guoc School of Energy and Power Engineering, Jiangsu University, Zhenjiang, Jiangsu 212012, China ajihengsong@ujs.edu.cn, bqwang@ujs.edu.cn, cguozeyu106@126.com Keywords: Multi-span Greenhouse, Temperature Distribution, Experimental research, Numerical Simulation Abstract.
With the rapid development of CFD (Computational Fluid Dynamics), domestic and foreign scholars have conducted extensive research in the greenhouse microenvironment by means of the numerical simulation technology [1,2].
Simulation results existed some differences with experiment，but the tendency of temperature distributions was consistent, thus effectively of the CFD model was certified.
Thus it showed the validity of the built CFD model and the boundary conditions.
Montero, Esteban Baeza, A CFD greenhouse night-time condensation model Original Research Article, Biosystems Engineering. 111 (2012) 141-154

An SHM View of a CFD Model of Lillgrund Wind farm N.
Fluidity, the open-source CFD solver from Imperial College, was used to resolve the flow [5].
Large eddy simulation (LES) modelled the unsteady turbulent flow, along with the Synthetic Eddy Method (SEM) [7] to inject atmospheric turbulence into the simulation.
A further 600s of simulation time was then used to allow the turbines to ‘spin-up’.
The first 100 and last 300 points of data were removed because they represent the simulation beginning and ending respectively.

In [7] a comparative study of either using stationary or dynamic thermal analyses was presented.Figure 1: Principal geometry of a combustion chamber with nozzle extension and the periodic fraction of the FSI simulation model (red: CFD grid hot gas flow, blue: CFD grid coolant flow, green: structural CSM grid).
CFD-CSM scheme.
It is several orders more efficient than the CFD code in the classical CFD-CSM scheme.
Furthermore, cyclic FSI analyses are possible without dealing with the complexity and sensitiveness of a CFD code in the FSI simulation loop.
Conjugate heat transfer simulation of cooled turbine blades using unstructured-mesh cfd solver. 49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, AIAA 2011-498, 2011

In computational fluid dynamics (CFD) simulations, the large number of fuel rod bundles is approximated with porous medium technique that imposes similar flow resistance to the motion of the fluid.
The experiment was analyzed in comparison with a CFD simulation to validate the proposed CFD models.
Results and discussion The pressure drop for various velocities was compared with CFD simulation result and experimental data, as shown in Fig. 3.
For CFD simulations, the variation of pressure drop along the flow stream of model 5×5 is more obvious than the result with porous-medium approximation.
The analysis result of experiment and CFD simulation with porous medium are feasible, and the maximal velocity occurred at the center of fuel bundle in the pool.

Nowadays, CFD numerical simulation software has been widely applied in design, but the research of oil mist condensation in the transmission process based on CFD is very fare.
In this paper, the FLUENT software was utilized for numerical simulation.
And then use FLUENT for simulation and analysis.
�umerical simulation With the use of FLUENT software, numerical simulations were made at certain temperature and different pressure values[4-6].
The FLUENT simulation results are as shown in Fig.1 to Fig.3.

Xi’an Uni. of Arch. & Tech, Shaanxi, Xi’an 710055, China acooper_wsj123@163.com, bxazfyan@126.com Keywords: indoor thermal environment simulation, CFD simulation, night ventilation, thermal comfort, Design Builder Abstract.
Design Builder V2.4.2.024 based on Energy Plus 6.0 for simulation engine, and built CFD simulation module, make the simulation research of indoor thermal environment more convenient and comprehensive.
Design Builder is developed suitable for Energy Plus user graphic interface software, may to do what it can to do including indoor thermal environment dynamic simulation, cold and heat hourly load simulation, detailed HVAC system and CFD simulation, etc.
Simulation Condition.
Optimizing building scheme design based on building thermal environment simulation by CFD software[J].

It is also demonstrated that how computational fluid dynamics (CFD) is used to simulate phenomena at different scales.
This paper is the aspiration to furnish some thoughts about CFD utilization to assemble models at larger but coarser level. 2.
Simulation Results and Discussion 3.1.
Two phase simulations Two-phase simulations provide a simple approach to study the process released with gas and raw materials flow.
Justification of CFD models by experiments will be one vital keystone in upcoming maturity of metallurgical applications.