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...
Published in: | Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment |
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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 |
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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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1766127547459829760 |