A CFD Model Based Research On Wet Deposition of Large ... · PDF fileA CFD Model Based...
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A CFD Model Based Research On Wet Deposition of Large Scale Natural Draft Cooling Tower
Shanghai Nuclear Engineering Research & Design Institute
www.snerdi.com.cn
Wenjie Bao
Shanghai Nuclear Engineering Research & Design Institute
Shanghai,China
©SNERDI 2016. All Rights Reserved.
1.Background 2.Methodology 3.Model Validation 4.Case Study 5.Conclusion
©SNERDI 2016. All Rights Reserved.
1.Background 2.Methodology 3.Model Validation 4.Case Study 5.Conclusion
©SNERDI 2016. All Rights Reserved.
1. Background
Nuclear power plant construction plan
0 10 20 30 40 50 60 70 80 90 100
UnitedStatesOfAmerica
France
Japan
China
Russia
SouthKorea
Numberofreactors
NuclearPowerPlantStatusinTypicalCountries
UnderConstrucKon OperaKng
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1. Background
EIA for Inland nuclear power plants
MountainousArea
CoolingTowerImpact
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1. Background
Disadvantages of tradition methods
Methods Disadvantages
Gaussian model Not suggest for mountainous area
Wind tunnel experiments High demand for money and time
SF6 field experiments
CFD model √
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1.Background 2.Methodology 3.Model Validation 4.Case Study 5.Conclusion
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2. Methodology
CFD Model (Computational Fluid Dynamics)
Aerodynamic
shape design
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2. Methodology
CFD Model (Computational Fluid Dynamics)
Smoke plume simulation
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2. Methodology
CFD Model (Computational Fluid Dynamics)
Model: Star CCM+
Validation Data: Chalk Point Plant experiment
Case study: Inland NPP sites in China (Planned)
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2. Methodology
Chalk Point Power Plant
CoolingTower
Plant Overview
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2. Methodology
Chalk Point Power Plant
Sampling Points Distribution
1km
0.5km
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2. Methodology
3D model parameter
Chalk Point 3D model
Domainlength:2000mwidth:1000mheight:500m
Coolingtowerheight:124m
baseradius:40moutsetradius:27.4m
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2. Methodology
3D model parameter
Inlet wind speed profile 6781.03523.0 zv ⋅=
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2. Methodology
3D model set up
Chalk Point grid model
PolyhedralmeshGridsizeofcoolingtower:4mGridsizeofotherpart:50~100mTotalnumberofgrid:600,000
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1.Background 2.Methodology 3.Model Validation 4.Case Study 5.Conclusion
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3. Model Validation
Cooling tower plume lift
Cooling tower plume diffusion
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3. Model Validation
Cooling tower plume lift
Plume lift height comparison
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3. Model Validation
Cooling tower wet deposition
Cooling tower wet deposition distribution
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3. Model Validation
Cooling tower wet deposition
Wet deposition data comparison
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1.Background 2.Methodology 3.Model Validation 4.Case Study 5.Conclusion
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4. Case study
Inland Nuclear Power Plant in China
3D model of NPP site
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4. Case study
Inland Nuclear Power Plant in China
3D grid of NPP site
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4. Case study
Cooling tower design parameter
Parameters Value
Basediameter 168.66m
Height 215m
Outletdiameter 102.70m
Throatdiameter 99.0m
Twotowersdistance 110m
Eliminatorefficiency 95% DriHvelocity 4.35m/s
DriHtemperature 30.33℃
Plumemassrate 0.455kg/s
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4. Case study
Model boundary conditions
Parameters Value
Windspeedat70m 5.2m/s Surfaceroughness 0.3m
Turbulenceintensity H<100m,0.1;H≥100m,0.05 Airtemperature 16.5℃
pZ
uu ⎟⎟⎠
⎞⎜⎜⎝
⎛×=
0.7070Inlet wind profile expression
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4. Case study
Calculation result
Downwind centerline wet deposition distribution
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4. Case study
Calculation result
Cooling tower plume diffusion pattern
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1.Background 2.Methodology 3.Model Validation 4.Case Study 5.Conclusion
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5. Conclusion
l CFD could simulate the process of cooling tower plum dispersion and
deposition well.
l When field data is not available, CFD could be a powerful tool in
cooling tower EIA.
l In case study, this method could reflect the blocking effect of cooling
tower, thus a more reasonable result could be provided.
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5. Conclusion
l In further studies, it is necessary to work on boundary conditions
optimization and reasonable meteorological classification, in order
that CFD model could run under multiple meteorological conditions.
l Plume shadowing of cooling tower drift is decided by season, sun
angel and location, which are not included in CFD model. These
could be important research directions in the future.
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THANK YOU ! ขอบคุณ!
Shanghai Nuclear Engineering Research & Design Institute
www.snerdi.com.cn
Wenjie Bao Email:[email protected]