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Methods: this paper using facade renovation project of Wismar University in Germany as the carrier, it uses Energy-Plus energy simulation software, CFD computational fluid dynamics software and U-wert.net calculation software for U value of material to get the simulation analysis of the energy, physical and regional eco-effect of building green facade.
Construction of Analysis Method Table1 Analysis Method Type Aim Method Model Energy Insulation U-wert.net Wall Node Cooling energy EnergyPlus Building Physical Cooling CFD Office Room Indoor Airflow CFD Office Room Comfort EnergyPlus Office Room Regional Thermal environment CFD Compus Wind Environment CFD Compus Carbon emissions EnergyPlus Building Select the Appropriate Simulation Software.
Fig6 Report of west facade after green Fig7 Monthly heating and cooling energy simulation after green Fig8 Interior CFD analysis for velocity and pressure on 1.5m view Application of Simulation Analysis Simulation Analysis of Energy Eco-effect Insulation Performance.
The wind speed chart, barogram, three-dimensional diagram of two kinds of models can be obtained through the DesignBuilder-CFD simulation(refer with: Fig. 8).
Fig9 Summer design data for comfort (hourly) Fig10 Environment CFD analysis for thermal environment Fig11 Environment CFD analysis for air speed velocity-vectors Comfort.

This is done using Computational Fluid Dynamics (CFD) simulation where the aerodynamic performance a wing derived from a natural bat wing shape was studied.
The objective of this study is to study the aerodynamic performance of a flapping wing derived from a bat wing using a Computational Fluid Dynamics (CFD) simulation.
Fig. 3, Modules linkages schematics for the FSI simulation Mesh Generation Since the simulation was done in an FSI simulation that uses FEA and CFD solver, this means that all bodies that is involved needed to be meshed.
Fig. 4, Generated mesh of the wing For the CFD simulation, 2 flow fields were generated for the simulation, as seen in Fig. 5.
Fig. 5, Flow field used in the simulation Fig. 6, Generated mesh of the simulated flow field Computational Fluid Dynamics (CFD) The CFD simulation that is involved in this study was done using the Fluent module in the ANSYS software.

An investigation into three dimensional fluid flow has been conducted which combines the use of Computational Fluid Dynamics (CFD) simulations with the experimental phenomenon of Streaming Birefringence.
To allow direct comparisons of the CFD solutions with the optical results, a macro (UDF) was written to interpret the flow field results from a (FLUENT6) CFD simulation.
These advantages, combined with its ability to clearly define flow phenomenon, also make it useful as a means of experimentally validating two and three-dimensional laminar simulation results.
This research explores the use of automated phase stepping photoelasticity and Computational Fluid Dynamics (CFD) simulations to study three dimensional fluid flow.
CFD study To allow direct comparisons of the CFD solutions with the optical results, a macro (UDF) was written to interpret the flow field results from a (Fluent 6) CFD simulation.

This study reports a numerical CFD study concerning the effect of frost thickness on the heat transfer performance of a vertical pipe.
The simulation for frost formation carried out with coupling to a commercial CFD code(CFX).
The CFD simulation offers the possibility to predict frost formation within vertical geometries.
Modeling and Simulation In the present study, to simulate the vertical upward pipe of cryogenic LNG vaporizers used commercial CFD code (ANSYS 13.0 CFX).
Starting with an initially calculated frost thickness, the CFD simulation computes the fluid motion for one fluid cycle based on fixed condition.

Among the different renewable energy technologies, hydro power generation (large and small scale) is the prime choice in terms of contribution to the world's electricity generation by using water current turbines.CFD simulation using two equations turbulence model was carried out to compare performance of conventional savonius turnine and new consept of vertical axis turbine.
This study presented new idea to increase performance of savonius turbine and CFD simulation was done to proof this significant.
Albeit it is considerable that accuracy of 2D simulation is less than 3D, so some differences in Fig.2 are due to 2D simulations and the differences could be attributed to mesh sizes.
CFD Simulation Configuration In order to increase performance of VACT turbine new idea presented in this part.it was a combination of Darrieus and Savonius concept.
A.Ismail, Validation Study for Savonius Vertical Axis Marine Current Turbine Using CFD Simulation, The 6th Asia-Pacific Workshop on Marine Hydrodynamics-APHydro(2012)

The results show that the biggest deviation of simulation on discharge coefficient linearity and relative pressure loss are less than 0.4% and 1.2%, the results simulated by CFD are in good agreement with that by experiment.
So computational fluid dynamics (CFD) numerical simulation tests based on orthogonal experiments and actual flow experiments are carried out in this research.
Comparisons between Simulations and Actual flow experiment The data comparison between actual flow experiment and CFD simulation are shown in Table 5.
The relative error is calculated by the equation (7)and (8) (7) (8) Where Eδ stands for the relative error calculated between the actual flow experiment and the CFD simulation on discharge coefficient linearity, δCFD stands for the value of discharge coefficient linearity got by CFD simulation and δEXP stands for the value of discharge coefficient linearity got by actual flow experiment; Eξ stands for the relative error calculated between the actual flow experiment and the CFD simulation on Relative pressure loss, δCFD stands for the value of Relative pressure loss got by CFD simulation and δEXP stands for the value of relative pressure loss got by actual flow experiment.
All of these data proves that the CFD simulation predicts is correct.

Effect of Blade Numbers on Pressure Drop of Axial Cyclone Separators by CFD LUAN Yigang1,a, SUN Haiou1,b 1 College of Power and Energy Engineering of Harbin Engineering University Heilongjiang Province China, 1,ashandong-313@163.com, 1,bsunhaiou@hrbeu.edu.cn Keywords: CFD; Blade Numbers; Cyclone Separators; Pressure Drop Abstract.
In this article, computational fluid dynamics(CFD) method is used to predict the effect of blade numbers on the pressure drop of axial cyclone separators.
On one hand, non-uniform grid partition guarantees the accuracy of simulation, on the other hand, controls the amount of calculation.
Numerical simulation results and analysis In order to well understanding the flow field inside axial cyclone separators, Fig.3 to Fig 5 are the distribution of several characteristic parameters inside cyclone separators.
Conclusions CFD method is used to predict the influence of blade numbers on pressure drop of axial cyclone separators.

Three-dimensional CFD Simulation for Water-lubricated Guide Bearing of Large Tubular Pump Hua-rong XIN 1,a, Ming-yue ZHANG 2,b* 1Hydraulic project management office, Jiangsu Jiangdu, Jiangdu225200,China 2College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing210009, China ae-mail:xxinhuarong@163.com, be-mail:392066578@qq.com Key words: water-lubrication; guide bearing; pressure field; CFD-computation fluid dynamics Abstract.
With the development of CFD, 3D CFD technique based on finite volume method is gradually applied to parameter optimization of sliding bearing [6-8].
Numerical Simulation and Analysis Document [11] shows the opinion that when the Re of sliding bearing internal flow field goes up to 1000, the flow will be turbulence.
Application of CFD analysis for rotating machinery-Part I: hydrodynamic, hydrostatic bearings and squeeze film damper[J].
Design of water-lubricated bearing of stern based on CFD[J].Lubrication and Seal,2008,33(5) : 72-76

In order to obtain the optimal parameters of nozzle, a new integrated method combining genetic algorithm with CFD simulation analysis is put forward in this paper.
CFD Simulation Theoretical analysis.
Fig.1 shows the simulation domain and the boundary conditions.
Then the grid was imported into the commercial CFD code Fluent.
To realize design automation by integrating CFD simulation and design optimization, four basic functions must be provided by different software packages, i.e., parametric model, geometry integrated automatic meshing, unstructured CFD solver, and optimization tools.

Flow simulation of transfer station and optimization of skirtboard Bo Zhang CISDI R&D Co., Ltd, 1th Shuanggang Road, Yuzhong Dsitrict,Chongqing, 400013 China Bo.C.Zhang@cisdi.com.cn Keywords: transfer station, dust, skirtboard, CFD, optimization Abstract.
Gas-solid flow in transfer station is simulated with Computational Fluid Dynamics (CFD) method in this paper.
Based on the simulation results of traditional rectangular skirtboard, an optimized skirtboard is proposed.
In this paper, flow in transfer station is simulated with CFD method, and characteristic of flow in traditional rectangular skirtboard is analyzed.
Numerical Simulation Flow in transfer station with traditional rectangular skirtboard, shown in fig.1, is simulated at first.