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Wind Mapping of Malaysia Using Ward's Clustering Method

Malaysian wind maps used in wind analysis and engineering design are dated back to the last 50 years of wind data. Cotemporally, the mean wind speed was used as the basic wind design and due to changes in the weather condition worldwide, wind monitoring assumption and structure design are jeopardize...

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Main Authors: Azhar, Amar, Hashim, Huzaifa
Format: Article
Published: MDPI 2024
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.um.edu.my/45346/
https://doi.org/10.3390/en17071563
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spelling my.um.eprints.453462024-10-14T07:42:35Z http://eprints.um.edu.my/45346/ Wind Mapping of Malaysia Using Ward's Clustering Method Azhar, Amar Hashim, Huzaifa TA Engineering (General). Civil engineering (General) Malaysian wind maps used in wind analysis and engineering design are dated back to the last 50 years of wind data. Cotemporally, the mean wind speed was used as the basic wind design and due to changes in the weather condition worldwide, wind monitoring assumption and structure design are jeopardized. Therefore, this study aims to map the wind based on the trend of the highest wind speed recorded. The wind speed was analyzed based on a trend basis. The study included 42 Malaysian Metrological Department weather stations and the annual wind speed was acquired based on the monthly highest wind speed (1990-2019). The data were then processed using the 95% confidence interval method to determine the mean of the month, and the annual wind trendline was obtained. The trendline was then clustered using Ward's method with the assistance of the high-level programming language, PYTHON v3.11.6. The clustering analysis produced two clusters for the Malaysian Peninsula and two for Sabah and Sarawak. The recommendation is to use the highest wind speed recorded on the map as the design wind speed. The recommendation is expected to help experts to compensate for the uncertainties in wind speed during the design stage and avoid incidents in the field. MDPI 2024-04 Article PeerReviewed Azhar, Amar and Hashim, Huzaifa (2024) Wind Mapping of Malaysia Using Ward's Clustering Method. Energies, 17 (7). p. 1563. ISSN 1996-1073, DOI https://doi.org/10.3390/en17071563 <https://doi.org/10.3390/en17071563>. https://doi.org/10.3390/en17071563 10.3390/en17071563
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Azhar, Amar
Hashim, Huzaifa
Wind Mapping of Malaysia Using Ward's Clustering Method
description Malaysian wind maps used in wind analysis and engineering design are dated back to the last 50 years of wind data. Cotemporally, the mean wind speed was used as the basic wind design and due to changes in the weather condition worldwide, wind monitoring assumption and structure design are jeopardized. Therefore, this study aims to map the wind based on the trend of the highest wind speed recorded. The wind speed was analyzed based on a trend basis. The study included 42 Malaysian Metrological Department weather stations and the annual wind speed was acquired based on the monthly highest wind speed (1990-2019). The data were then processed using the 95% confidence interval method to determine the mean of the month, and the annual wind trendline was obtained. The trendline was then clustered using Ward's method with the assistance of the high-level programming language, PYTHON v3.11.6. The clustering analysis produced two clusters for the Malaysian Peninsula and two for Sabah and Sarawak. The recommendation is to use the highest wind speed recorded on the map as the design wind speed. The recommendation is expected to help experts to compensate for the uncertainties in wind speed during the design stage and avoid incidents in the field.
format Article
author Azhar, Amar
Hashim, Huzaifa
author_facet Azhar, Amar
Hashim, Huzaifa
author_sort Azhar, Amar
title Wind Mapping of Malaysia Using Ward's Clustering Method
title_short Wind Mapping of Malaysia Using Ward's Clustering Method
title_full Wind Mapping of Malaysia Using Ward's Clustering Method
title_fullStr Wind Mapping of Malaysia Using Ward's Clustering Method
title_full_unstemmed Wind Mapping of Malaysia Using Ward's Clustering Method
title_sort wind mapping of malaysia using ward's clustering method
publisher MDPI
publishDate 2024
url http://eprints.um.edu.my/45346/
https://doi.org/10.3390/en17071563
_version_ 1814047544634769408
score 13.211869

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