Abstract
The present paper deals with on-site measurements and 3D steady RANS simulations performed on the “IJmuiden vault” which falls under the Port Authority of Amsterdam. The numerical results were validated, in terms of amplification factor and local wind direction, using on-site measurements carried out by four 2D ultrasonic anemometers for a period of nine months. To quantify the deviation between measured and simulated data, the metric FAC1.3 was used. In that respect, 90% of simulated data (in terms of amplification factor) was found to be within 30% of deviation from the measured data. In terms of local wind direction, 86% of simulated data were found within ±30° and only the 6% of the whole database showed a large deviation equal and greater than ±60°. Finally, a software application was developed to convert the macroscale wind conditions to the local wind conditions near and in the newly built vault.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Baker CJ (2007) Wind engineering - past, present and future. J Wind Eng Ind Aerodyn 95:843–870
Blocken B, van der Hout A, Dekker J, Weiler O (2015) CFD simulation of wind flow over natural complex terrain: Case study with validation by field measurements for Ria de Ferrol, Galicia, Spain. J Wind Eng Ind Aerodyn 147:43–57
Blocken B (2014) 50 years of computational wind engineering: past, present and future. J Wind Eng Ind Aerodyn 129:69–102
Blocken B, Janssen WD, van Hooff T (2012) CFD simulation for pedestrian wind comfort and wind safety in urban areas: General decision framework and case study for the Eindhoven University campus. Environ Model Softw 30:15–34
Blocken B, Stathopoulos T, Carmeliet J (2007) CFD simulation of the atmospheric boundary layer: wall function problems. Atmos Environ 41:238–252
Burlando M, Pizzo M, Repetto MP, Solari G, De Gaetano P, Tizzi M (2014) Short-term wind forecast for the safety management of complex areas during hazardous wind events. J Wind Eng Ind Aerodyn 135:170–181
Cebeci T, Bradshaw P (1977) Momentum Transfer in Boundary Layers. Hemisphere Publishing Corporation, New York
Ferziger JH, Perić M (2002) Computational Methods for Fluid Dynamics, 3rd edn. Springer, Heidelberg ISBN 978-3-540-42074-3
Franke J, Hellsten A, Schlünzen, H, Carissimo, B (2007) COST Action 732 quality assurance and improvement of microscale meteorological models
Franke J, Hellsten A, Schlünzen H, Carissimo B (2007) COST Action 732 quality assurance and improvement of microscale meteorological models. COST Action 732
Janssen WD, Blocken B, van Wijhe HJ (2017) CFD simulations of wind loads on a container ship: validation and impact of geometrical simplifications. J Wind Eng Ind Aerodyn 166:106–116
Launder BE, Spalding DB (1974) The numerical computation of turbulent flows. Comput Methods Appl Mech Eng 3:269–289
Murakami S (1990) Computational wind engineering. J Wind Eng Ind Aerodyn 36:517–538
Pasquill F (1961) The estimation of the dispersion of windborne material. The Meteorological Magazine, vol 90, no 1063
Richards PJ, Hoxey RP (1993) Appropriate boundary conditions for computational wind engineering models using the k-ɛ turbulence model. J Wind Eng Ind Aerodyn 46–47:145–153
Ricci A, Burlando M, Freda A, Repetto MP (2017a) Wind tunnel measurements of the urban boundary layer development over a historical district in Italy. Build Environ 111:192–206
Ricci A, Kalkman I, Blocken B, Burlando M, Freda A, Repetto MP (2017b) Local-scale forcing effects on wind flows in an urban environment: impact of geometrical simplifications. J Wind Eng Ind Aerodyn 170:238–255
Schatzmann M, Olesen H, Franke J (2010) COST 732 model evaluation case studies: approach and results. COST Action 732
Shih TH, Liou WW, Shabbir A, Zhu J (1995) A new k-ε eddy-viscosity model for high Reynolds number turbulent flows e model development and validation. Comput Fluids 24:227–238
Solari G (2007) The international association for wind engineering (IAWE): progress and prospects. J Wind Eng Ind Aerodyn 95:813–842
Stathopoulos T (1997) Computational wind engineering: past achievements and future challenges. J Wind Eng Ind Aerodyn 67–68:509–532
Stull RB (1988) An Introduction to Boundary Layer Meteorology, 1st edn. Springer, Netherlands ISBN 978-94-009-3027-8
Tominaga Y, Mochida A, Yoshie R, Kataoka H, Nozu T, Yoshikawa M et al (2008) AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. J Wind Eng Ind Aerodyn 96:1749–1761
van Hooff T, Blocken B (2010) Coupled urban wind flow and indoor natural ventilation modelling on a high-resolution grid: a case study for the Amsterdam ArenA stadium. Environ Model Softw 25:51–65
Venkatram A (1996) An examination of the Pasquill-Gifford-Turner dispersion scheme. Atmos Environ 30:1283–1290
Wieringa J (1992) Updating the Davenport roughness classification. J Wind Eng Ind Aerodyn 41–44:357–368
Acknowledgements
This work was sponsored by NWO Exacte en Natuurwetenschappen (Physical Sciences) for the use of supercomputer facilities, with financial support from the Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organization for Scientific Research, NWO).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Ricci, A., Blocken, B. (2019). Experimental and Computational Analysis of Microscale Wind Conditions in the Port of Amsterdam. In: Ricciardelli, F., Avossa, A. (eds) Proceedings of the XV Conference of the Italian Association for Wind Engineering. IN VENTO 2018. Lecture Notes in Civil Engineering, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-030-12815-9_45
Download citation
DOI: https://doi.org/10.1007/978-3-030-12815-9_45
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12814-2
Online ISBN: 978-3-030-12815-9
eBook Packages: EngineeringEngineering (R0)