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Offshore wind resource assessment off the coast of Daejeong, Jeju Island using 30-year wind estimates

Long-term offshore wind resource assessment was performed for the offshore site off the Daejeong coast on Jeju Island of South Korea. A jacket type offshore met mast was installed at the site to measure wind and meteorological conditions for 1 year from 1 July 2015 to 30 June 2016. The wind conditio...

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Autores principales: Kim, Byeongtaek, Lee, Keonwoo, Ko, Kyungnam, Choi, Jungchul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391412/
https://www.ncbi.nlm.nih.gov/pubmed/35986166
http://dx.doi.org/10.1038/s41598-022-18447-7
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author Kim, Byeongtaek
Lee, Keonwoo
Ko, Kyungnam
Choi, Jungchul
author_facet Kim, Byeongtaek
Lee, Keonwoo
Ko, Kyungnam
Choi, Jungchul
author_sort Kim, Byeongtaek
collection PubMed
description Long-term offshore wind resource assessment was performed for the offshore site off the Daejeong coast on Jeju Island of South Korea. A jacket type offshore met mast was installed at the site to measure wind and meteorological conditions for 1 year from 1 July 2015 to 30 June 2016. The wind conditions were measured at 32.5 m, 72.5 m and 100.5 m above mean sea level (AMSL). Fundamental wind characteristics such as average wind speed, wind direction frequency, turbulence intensity and so on were analyzed utilizing 1-year wind measurements. In order to correct the limited period of 1-year measurements to long-term conditions, the Measure-Correlate-Predict (MCP) method was applied to estimate 30-year wind conditions using nearby Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) reanalysis data. Also, wind turbine classes suitable for the offshore site were determined based on extreme wind speed estimations and the measured ambient turbulence intensity. Five commercial wind turbines were chosen for estimation of the 30-year annual energy productions (AEPs) and capacity factors (CFs). As a result, it was estimated that the 30-year average wind speed was 7.86 m/s at 100.5 m AMSL. The wind turbine class II rating was estimated to be suitable for enduring extreme wind speed for a return period of 50 years. For the 30-year results, the minimum CF of 30.48% was estimated, while the maximum nearly reached 45%.
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spelling pubmed-93914122022-08-21 Offshore wind resource assessment off the coast of Daejeong, Jeju Island using 30-year wind estimates Kim, Byeongtaek Lee, Keonwoo Ko, Kyungnam Choi, Jungchul Sci Rep Article Long-term offshore wind resource assessment was performed for the offshore site off the Daejeong coast on Jeju Island of South Korea. A jacket type offshore met mast was installed at the site to measure wind and meteorological conditions for 1 year from 1 July 2015 to 30 June 2016. The wind conditions were measured at 32.5 m, 72.5 m and 100.5 m above mean sea level (AMSL). Fundamental wind characteristics such as average wind speed, wind direction frequency, turbulence intensity and so on were analyzed utilizing 1-year wind measurements. In order to correct the limited period of 1-year measurements to long-term conditions, the Measure-Correlate-Predict (MCP) method was applied to estimate 30-year wind conditions using nearby Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) reanalysis data. Also, wind turbine classes suitable for the offshore site were determined based on extreme wind speed estimations and the measured ambient turbulence intensity. Five commercial wind turbines were chosen for estimation of the 30-year annual energy productions (AEPs) and capacity factors (CFs). As a result, it was estimated that the 30-year average wind speed was 7.86 m/s at 100.5 m AMSL. The wind turbine class II rating was estimated to be suitable for enduring extreme wind speed for a return period of 50 years. For the 30-year results, the minimum CF of 30.48% was estimated, while the maximum nearly reached 45%. Nature Publishing Group UK 2022-08-19 /pmc/articles/PMC9391412/ /pubmed/35986166 http://dx.doi.org/10.1038/s41598-022-18447-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kim, Byeongtaek
Lee, Keonwoo
Ko, Kyungnam
Choi, Jungchul
Offshore wind resource assessment off the coast of Daejeong, Jeju Island using 30-year wind estimates
title Offshore wind resource assessment off the coast of Daejeong, Jeju Island using 30-year wind estimates
title_full Offshore wind resource assessment off the coast of Daejeong, Jeju Island using 30-year wind estimates
title_fullStr Offshore wind resource assessment off the coast of Daejeong, Jeju Island using 30-year wind estimates
title_full_unstemmed Offshore wind resource assessment off the coast of Daejeong, Jeju Island using 30-year wind estimates
title_short Offshore wind resource assessment off the coast of Daejeong, Jeju Island using 30-year wind estimates
title_sort offshore wind resource assessment off the coast of daejeong, jeju island using 30-year wind estimates
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391412/
https://www.ncbi.nlm.nih.gov/pubmed/35986166
http://dx.doi.org/10.1038/s41598-022-18447-7
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