Estimation of Weibull distribution for wind speeds along ship routes

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...

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Published in:Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment
Main Authors: Mao, Wengang, Rychlik, Igor
Other Authors: Vetenskapsrådet, Knut och Alice Wallenbergs Stiftelse, energy area of advance, Chalmers University of Technology
Format: Article in Journal/Newspaper
Language:English
Published: SAGE Publications 2016
Subjects:
Online Access:http://dx.doi.org/10.1177/1475090216653495
http://journals.sagepub.com/doi/pdf/10.1177/1475090216653495
http://journals.sagepub.com/doi/full-xml/10.1177/1475090216653495
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spelling crsagepubl:10.1177/1475090216653495 2023-05-15T17:30:40+02:00 Estimation of Weibull distribution for wind speeds along ship routes Mao, Wengang Rychlik, Igor Vetenskapsrådet Knut och Alice Wallenbergs Stiftelse energy area of advance, Chalmers University of Technology 2016 http://dx.doi.org/10.1177/1475090216653495 http://journals.sagepub.com/doi/pdf/10.1177/1475090216653495 http://journals.sagepub.com/doi/full-xml/10.1177/1475090216653495 en eng SAGE Publications http://journals.sagepub.com/page/policies/text-and-data-mining-license Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment volume 231, issue 2, page 464-480 ISSN 1475-0902 2041-3084 Mechanical Engineering Ocean Engineering journal-article 2016 crsagepubl https://doi.org/10.1177/1475090216653495 2022-09-21T19:51:44Z 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. Article in Journal/Newspaper North Atlantic SAGE Publications (via Crossref) Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 231 2 464 480
institution Open Polar
collection SAGE Publications (via Crossref)
op_collection_id crsagepubl
language English
topic Mechanical Engineering
Ocean Engineering
spellingShingle Mechanical Engineering
Ocean Engineering
Mao, Wengang
Rychlik, Igor
Estimation of Weibull distribution for wind speeds along ship routes
topic_facet Mechanical Engineering
Ocean Engineering
description 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.
author2 Vetenskapsrådet
Knut och Alice Wallenbergs Stiftelse
energy area of advance, Chalmers University of Technology
format Article in Journal/Newspaper
author Mao, Wengang
Rychlik, Igor
author_facet Mao, Wengang
Rychlik, Igor
author_sort Mao, Wengang
title Estimation of Weibull distribution for wind speeds along ship routes
title_short Estimation of Weibull distribution for wind speeds along ship routes
title_full Estimation of Weibull distribution for wind speeds along ship routes
title_fullStr Estimation of Weibull distribution for wind speeds along ship routes
title_full_unstemmed Estimation of Weibull distribution for wind speeds along ship routes
title_sort estimation of weibull distribution for wind speeds along ship routes
publisher SAGE Publications
publishDate 2016
url http://dx.doi.org/10.1177/1475090216653495
http://journals.sagepub.com/doi/pdf/10.1177/1475090216653495
http://journals.sagepub.com/doi/full-xml/10.1177/1475090216653495
genre North Atlantic
genre_facet North Atlantic
op_source Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment
volume 231, issue 2, page 464-480
ISSN 1475-0902 2041-3084
op_rights http://journals.sagepub.com/page/policies/text-and-data-mining-license
op_doi https://doi.org/10.1177/1475090216653495
container_title Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment
container_volume 231
container_issue 2
container_start_page 464
op_container_end_page 480
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