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On the reliability of the 3D steady RANS approach in predicting microscale wind conditions in seaport areas: The case of the IJmuiden sea lock
- Source :
- Journal of Wind Engineering and Industrial Aerodynamics, 207:104437. Elsevier
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Coastal areas and seaport areas are exposed to high wind speeds which may involve risks for the ships and people working in the area. Therefore, knowledge of the microscale wind conditions is essential for safe maneuvering and mooring of ships and optimizing harbor design. In the present study, 3D steady RANS CFD simulations with the realizable k-e turbulence model are performed for the new configuration of the “IJmuiden sea lock” in Amsterdam, the largest sea lock in the world at the time of writing this article. The computed wind speed and turbulence intensity amplification factors and the local wind directions are validated with on-site measurements for the old configuration of the sea lock. For the wind speed amplification factor and local wind direction, a satisfactory agreement is obtained with 90% of CFD data within ±30% from the measured data. Conversely, for the turbulence intensity amplification factor, less satisfactory agreement is found with 74% of CFD data within ±30% from the measured data. Overall, the 3D steady RANS approach shows a sufficiently high reliability for predicting the wind conditions in the seaport area under neutral atmospheric conditions.
- Subjects :
- Technology
Engineering, Civil
010504 meteorology & atmospheric sciences
IMPACT
FLOW
Computational fluid dynamics
Mechanics
01 natural sciences
Wind speed
010305 fluids & plasmas
Engineering
Validation
0103 physical sciences
Microscale wind conditions
SDG 7 - Affordable and Clean Energy
SPEED
0105 earth and related environmental sciences
Civil and Structural Engineering
ATMOSPHERIC BOUNDARY-LAYER
SAFETY MANAGEMENT
Science & Technology
CLIMATE-CHANGE
Renewable Energy, Sustainability and the Environment
business.industry
Turbulence
Mechanical Engineering
Seaport areas
TROPICAL CYCLONES
On-site measurements
Wind direction
Amplification factor
FORECAST
Mooring
CFD SIMULATION
FIELD DATA
Computational fluid dynamics (CFD)
Turbulence kinetic energy
Environmental science
business
Reynolds-averaged Navier–Stokes equations
SDG 7 – Betaalbare en schone energie
Marine engineering
Subjects
Details
- ISSN :
- 01676105
- Volume :
- 207
- Database :
- OpenAIRE
- Journal :
- Journal of Wind Engineering and Industrial Aerodynamics
- Accession number :
- edsair.doi.dedup.....cd989cda1ff65361a508cc267bd7a88d
- Full Text :
- https://doi.org/10.1016/j.jweia.2020.104437