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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Main Authors: | , |
Language: | unknown |
Published: |
2017
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Subjects: | |
Online Access: | https://doi.org/10.1177/1475090216653495 https://research.chalmers.se/en/publication/242092 |
_version_ | 1835017993375973376 |
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author | Mao, Wengang Rychlik, Igor |
author_facet | Mao, Wengang Rychlik, Igor |
author_sort | Mao, Wengang |
collection | Unknown |
container_issue | 2 |
container_start_page | 464 |
container_title | Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment |
container_volume | 231 |
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. |
genre | North Atlantic |
genre_facet | North Atlantic |
id | ftchalmersuniv:oai:research.chalmers.se:242092 |
institution | Open Polar |
language | unknown |
op_collection_id | ftchalmersuniv |
op_container_end_page | 480 |
op_doi | https://doi.org/10.1177/1475090216653495 |
op_relation | http://dx.doi.org/10.1177/1475090216653495 https://research.chalmers.se/en/publication/242092 |
publishDate | 2017 |
record_format | openpolar |
spelling | ftchalmersuniv:oai:research.chalmers.se:242092 2025-06-15T14:42:52+00:00 Estimation of Weibull distribution for wind speeds along ship routes Mao, Wengang Rychlik, Igor 2017 text https://doi.org/10.1177/1475090216653495 https://research.chalmers.se/en/publication/242092 unknown http://dx.doi.org/10.1177/1475090216653495 https://research.chalmers.se/en/publication/242092 Probability Theory and Statistics Wind speeds wind energy efficiency Weibull distribution hindcast wind on-board measurements 2017 ftchalmersuniv https://doi.org/10.1177/1475090216653495 2025-05-19T04:26:12Z 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. Other/Unknown Material North Atlantic Unknown Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment 231 2 464 480 |
spellingShingle | Probability Theory and Statistics Wind speeds wind energy efficiency Weibull distribution hindcast wind on-board measurements Mao, Wengang Rychlik, Igor Estimation of Weibull distribution for wind speeds along ship routes |
title | 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_short | Estimation of Weibull distribution for wind speeds along ship routes |
title_sort | estimation of weibull distribution for wind speeds along ship routes |
topic | Probability Theory and Statistics Wind speeds wind energy efficiency Weibull distribution hindcast wind on-board measurements |
topic_facet | Probability Theory and Statistics Wind speeds wind energy efficiency Weibull distribution hindcast wind on-board measurements |
url | https://doi.org/10.1177/1475090216653495 https://research.chalmers.se/en/publication/242092 |