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Wind shear data at two different terrain types
The measurement of this data aims to evaluate the wind shear variability at three selected sites in Malaysia. The sites are Kudat in Sabah, Kijal in Terengganu and Langkawi in Kedah. Both sites in Kudat and Kijal is located in coastal areas with few buildings or trees, while the site in Langkawi is...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685699/ https://www.ncbi.nlm.nih.gov/pubmed/31406911 http://dx.doi.org/10.1016/j.dib.2019.104306 |
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author | Albani, Aliashim Ibrahim, Mohd Zamri Yong, Kim Hwang |
author_facet | Albani, Aliashim Ibrahim, Mohd Zamri Yong, Kim Hwang |
author_sort | Albani, Aliashim |
collection | PubMed |
description | The measurement of this data aims to evaluate the wind shear variability at three selected sites in Malaysia. The sites are Kudat in Sabah, Kijal in Terengganu and Langkawi in Kedah. Both sites in Kudat and Kijal is located in coastal areas with few buildings or trees, while the site in Langkawi is a coastal area with many buildings or trees. The variables were measured using the sensors that mounted on the wind mast with the maximum height from 55 m to 70 m from ground level. The variables measured were wind speed, wind direction, temperature, and pressure, while the wind shear data were directly generated using the power law equation. The averaged wind shear based on measured multiple height wind speed at selected sites is larger than the 1/7 law (0.143). Also, the value of wind shear was higher in order Langkawi > Kudat > Kijal. Ultimately, the wind shear data are essential and can be reused in the wind energy potential study, especially for data extrapolation to desired wind turbine hub height. |
format | Online Article Text |
id | pubmed-6685699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-66856992019-08-12 Wind shear data at two different terrain types Albani, Aliashim Ibrahim, Mohd Zamri Yong, Kim Hwang Data Brief Energy The measurement of this data aims to evaluate the wind shear variability at three selected sites in Malaysia. The sites are Kudat in Sabah, Kijal in Terengganu and Langkawi in Kedah. Both sites in Kudat and Kijal is located in coastal areas with few buildings or trees, while the site in Langkawi is a coastal area with many buildings or trees. The variables were measured using the sensors that mounted on the wind mast with the maximum height from 55 m to 70 m from ground level. The variables measured were wind speed, wind direction, temperature, and pressure, while the wind shear data were directly generated using the power law equation. The averaged wind shear based on measured multiple height wind speed at selected sites is larger than the 1/7 law (0.143). Also, the value of wind shear was higher in order Langkawi > Kudat > Kijal. Ultimately, the wind shear data are essential and can be reused in the wind energy potential study, especially for data extrapolation to desired wind turbine hub height. Elsevier 2019-07-24 /pmc/articles/PMC6685699/ /pubmed/31406911 http://dx.doi.org/10.1016/j.dib.2019.104306 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Energy Albani, Aliashim Ibrahim, Mohd Zamri Yong, Kim Hwang Wind shear data at two different terrain types |
title | Wind shear data at two different terrain types |
title_full | Wind shear data at two different terrain types |
title_fullStr | Wind shear data at two different terrain types |
title_full_unstemmed | Wind shear data at two different terrain types |
title_short | Wind shear data at two different terrain types |
title_sort | wind shear data at two different terrain types |
topic | Energy |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6685699/ https://www.ncbi.nlm.nih.gov/pubmed/31406911 http://dx.doi.org/10.1016/j.dib.2019.104306 |
work_keys_str_mv | AT albanialiashim windsheardataattwodifferentterraintypes AT ibrahimmohdzamri windsheardataattwodifferentterraintypes AT yongkimhwang windsheardataattwodifferentterraintypes |