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Estimation of Weibull distribution for wind speeds along ship routes

Wengang Mao (Institutionen för sjöfart och marin teknik, Marin teknik) ; Igor Rychlik (Institutionen för matematiska vetenskaper, matematisk statistik)
Journal of Engineering for the Maritime Environment (1475-0902). Vol. 231 (2017), 2, p. 464-480.
[Artikel, refereegranskad vetenskaplig]

In order to evaluate potential benefits of new green shipping concepts that utilize wind power as auxiliary propulsion in ships or of offshore wind energy harvest, it is essential to have reliable wind speed statistics. A new method to find parameters in the Weibull distribution is given. It can be used either at a fixed offshore position or along arbitrary ship routes. The method employs a spatio-temporal transformed Gaussian model for wind speed variability. The model was fitted to 10 years’ ERA-Interim reanalysis data of wind speed. The proposed method to derive Weibull distribution is validated using wind speeds measured on-board by vessels sailing in the North Atlantic and the west region of the Mediterranean Sea. For the westbound voyages in the North Atlantic, the proposed method gives a good approximation of the observed wind distribution along those ship routes. For the eastbound voyages, significant difference is found between the observed wind distribution and that approximated by the proposed method. The suspected reason is attributed to the ship routing decisions of masters and software. Hence, models that consider only the wind climate description need to be supplemented with a method to take into account the effect of wind-aware routing plan.

Nyckelord: Wind speeds, Weibull distribution, on-board measurements, hindcast wind, wind energy efficiency

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Denna post skapades 2016-09-21. Senast ändrad 2017-07-06.
CPL Pubid: 242092


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Institutioner (Chalmers)

Institutionen för sjöfart och marin teknik, Marin teknik (2015-2017)
Institutionen för matematiska vetenskaper, matematisk statistik (2005-2016)


Sannolikhetsteori och statistik

Chalmers infrastruktur