Wind characteristics and wind energy assessment in the Barents Sea based on ERA-Interim reanalysis

Abstract The basic analysis of long-term wind characteristics and wind energy resources in the Barents Sea was carried out from 1996 to 2015 based on the ERA-Interim reanalysis dataset from ECMWF. In recent years, it has been possible to exploit the wind power resources in the Barents Sea at the hub...

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Published in:Oceanological and Hydrobiological Studies
Main Authors: Duan, Chenglin, Wang, Zhifeng, Dong, Sheng, Zhenkun, Liao
Format: Article in Journal/Newspaper
Language:English
Published: Walter de Gruyter GmbH 2018
Subjects:
Online Access:http://dx.doi.org/10.1515/ohs-2018-0039
http://www.degruyter.com/view/j/ohs.2018.47.issue-4/ohs-2018-0039/ohs-2018-0039.xml
https://www.degruyter.com/document/doi/10.1515/ohs-2018-0039/xml
https://www.sciendo.com/pdf/10.1515/ohs-2018-0039
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spelling crdegruyter:10.1515/ohs-2018-0039 2023-05-15T15:38:17+02:00 Wind characteristics and wind energy assessment in the Barents Sea based on ERA-Interim reanalysis Duan, Chenglin Wang, Zhifeng Dong, Sheng Zhenkun, Liao 2018 http://dx.doi.org/10.1515/ohs-2018-0039 http://www.degruyter.com/view/j/ohs.2018.47.issue-4/ohs-2018-0039/ohs-2018-0039.xml https://www.degruyter.com/document/doi/10.1515/ohs-2018-0039/xml https://www.sciendo.com/pdf/10.1515/ohs-2018-0039 en eng Walter de Gruyter GmbH http://creativecommons.org/licenses/by-nc-nd/4.0 CC-BY-NC-ND Oceanological and Hydrobiological Studies volume 47, issue 4, page 415-428 ISSN 1897-3191 Oceanography journal-article 2018 crdegruyter https://doi.org/10.1515/ohs-2018-0039 2022-05-11T14:45:06Z Abstract The basic analysis of long-term wind characteristics and wind energy resources in the Barents Sea was carried out from 1996 to 2015 based on the ERA-Interim reanalysis dataset from ECMWF. In recent years, it has been possible to exploit the wind power resources in the Barents Sea at the hub height due to the sea ice cover retreat in the northeast direction. Based on the NSDIC monthly sea ice concentration data, the entire Barents Sea has been partitioned into the ice-free zone and the ice zone. Spatial and temporal distributions of the mean monthly and annual wind speed and wind power density are presented in both zones. Seven points were selected at different locations in the ice-free zone so as to obtain and study the wind roses, the interannual wind power variation and the annual average net electric energy output. For extreme wind speed parameters, the Pearson type III distribution provides better fitness of annual speed extrema and the Gumbel distribution performs well with higher speeds at longer return periods. Article in Journal/Newspaper Barents Sea Sea ice De Gruyter (via Crossref) Barents Sea Oceanological and Hydrobiological Studies 47 4 415 428
institution Open Polar
collection De Gruyter (via Crossref)
op_collection_id crdegruyter
language English
topic Oceanography
spellingShingle Oceanography
Duan, Chenglin
Wang, Zhifeng
Dong, Sheng
Zhenkun, Liao
Wind characteristics and wind energy assessment in the Barents Sea based on ERA-Interim reanalysis
topic_facet Oceanography
description Abstract The basic analysis of long-term wind characteristics and wind energy resources in the Barents Sea was carried out from 1996 to 2015 based on the ERA-Interim reanalysis dataset from ECMWF. In recent years, it has been possible to exploit the wind power resources in the Barents Sea at the hub height due to the sea ice cover retreat in the northeast direction. Based on the NSDIC monthly sea ice concentration data, the entire Barents Sea has been partitioned into the ice-free zone and the ice zone. Spatial and temporal distributions of the mean monthly and annual wind speed and wind power density are presented in both zones. Seven points were selected at different locations in the ice-free zone so as to obtain and study the wind roses, the interannual wind power variation and the annual average net electric energy output. For extreme wind speed parameters, the Pearson type III distribution provides better fitness of annual speed extrema and the Gumbel distribution performs well with higher speeds at longer return periods.
format Article in Journal/Newspaper
author Duan, Chenglin
Wang, Zhifeng
Dong, Sheng
Zhenkun, Liao
author_facet Duan, Chenglin
Wang, Zhifeng
Dong, Sheng
Zhenkun, Liao
author_sort Duan, Chenglin
title Wind characteristics and wind energy assessment in the Barents Sea based on ERA-Interim reanalysis
title_short Wind characteristics and wind energy assessment in the Barents Sea based on ERA-Interim reanalysis
title_full Wind characteristics and wind energy assessment in the Barents Sea based on ERA-Interim reanalysis
title_fullStr Wind characteristics and wind energy assessment in the Barents Sea based on ERA-Interim reanalysis
title_full_unstemmed Wind characteristics and wind energy assessment in the Barents Sea based on ERA-Interim reanalysis
title_sort wind characteristics and wind energy assessment in the barents sea based on era-interim reanalysis
publisher Walter de Gruyter GmbH
publishDate 2018
url http://dx.doi.org/10.1515/ohs-2018-0039
http://www.degruyter.com/view/j/ohs.2018.47.issue-4/ohs-2018-0039/ohs-2018-0039.xml
https://www.degruyter.com/document/doi/10.1515/ohs-2018-0039/xml
https://www.sciendo.com/pdf/10.1515/ohs-2018-0039
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
Sea ice
genre_facet Barents Sea
Sea ice
op_source Oceanological and Hydrobiological Studies
volume 47, issue 4, page 415-428
ISSN 1897-3191
op_rights http://creativecommons.org/licenses/by-nc-nd/4.0
op_rightsnorm CC-BY-NC-ND
op_doi https://doi.org/10.1515/ohs-2018-0039
container_title Oceanological and Hydrobiological Studies
container_volume 47
container_issue 4
container_start_page 415
op_container_end_page 428
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