@article{43e91c6fb8bd4b51bda48bb9c9567faf,
title = "An integrated tool to improve the safety of seaports and waterways under strong wind conditions",
abstract = "The expanding capacity of seaports for worldwide competitiveness is leading to an increased risk exposure. The increasing ship size causes larger wind forces that can render ship navigation difficult in stormy weather. The alert system for the suspension of port operations is usually based on the wind conditions measured by anemometers installed (i) on top of cranes/buildings often sheltered for some wind sectors; hence unable to provide reliable wind statistics, (ii) at undisturbed positions (far from quays); hence unable to catch the actual wind near cranes/mooring ships. Despite many efforts towards the safety management of seaports and waterways, the prediction of real-time local wind conditions in such environments is still challenging. The goal of this paper is the innovative development of an integrated tool to transfer the measured wind field (by on-site measurements) from an undisturbed position to the sea lock under investigation by transfer coefficients computed with CFD. The tool allows tugboat pilots to check in real-time the mean wind speed, wind direction and turbulence intensity in the newly built IJmuiden sea lock, in the Netherlands. This project is targeted at improving the awareness of risks and the prevention of detrimental accidents in seaports in stormy weather.",
keywords = "CFD simulations, Integrated tool, Local wind conditions, On-site measurements, Seaport areas, Waterways",
author = "A. Ricci and R. Vasaturo and B. Blocken",
note = "Funding Information: The authors gratefully acknowledge the Koninklijk Nederlands Meteorologisch Instituut (KNMI) and the Port Authority of Amsterdam for the collaboration. The authors also gratefully acknowledge the partnership with ANSYS CFD. Alessio Ricci was a postdoctoral fellow of the Research Foundation – Flanders (FWO) (project FWO 1256822N ) at the time of writing the article and its financial support is gratefully acknowledged. Funding Information: It is important to note that also Ui is a matrix. Since the real-time measured wind direction at the KNMI station (Invoer windrichting in Fig. 10) is (obviously) not necessarily a multiple of 15°, the data employed for rescaling are those referred to the CFD simulation whose wind direction is the closest multiple of 15° (e.g. if the real-time KNMI wind direction is 67°, CFD data from the simulation with the wind direction of 60° are employed). Although this can be considered as a limitation, an error of ±7.5° is still considered minor given the complexity of the seaport topography and the turbulent ABL flow. Although included in the software, the turbulence intensity was not rescaled according to measured data, since it was not explicitly requested by the KNMI as real-time output to support the tugboat pilots who are mainly interested in the wind speed and wind direction. The resulting application is finally built using the MATLAB Compiler{\texttrademark} and then zipped. The total software tool size is about 1 GB, mostly occupied by the large CFD database. Windanalyse Ijmuiden Haven 1.0 can be easily installed (a “readme.txt” file is provided) and launched as standalone application; downloading the freely available MATLAB Runtime libraries is also required.The authors gratefully acknowledge the Koninklijk Nederlands Meteorologisch Instituut (KNMI) and the Port Authority of Amsterdam for the collaboration. The authors also gratefully acknowledge the partnership with ANSYS CFD. Alessio Ricci was a postdoctoral fellow of the Research Foundation – Flanders (FWO) (project FWO 1256822N) at the time of writing the article and its financial support is gratefully acknowledged.",
year = "2023",
month = mar,
doi = "10.1016/j.jweia.2023.105327",
language = "English",
volume = "234",
journal = "Journal of Wind Engineering and Industrial Aerodynamics",
issn = "0167-6105",
publisher = "Elsevier",
}
