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Modeling of Meteorological Data for Coastal Regions of Oman

Information of solar radiation at any site is essential for the proper design and assessment of solar energy conversion systems. Empirical modeling is an important and economical tool for the estimation of solar radiation. The aim of this study is to find a suitable model to explain the solar rad...

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Main Author: Mohammed Akaak, Ahmed
Format: Thesis
Language:English
English
Published: 1999
Subjects:
Meteorology - Research - Oman - Coastal Regions
Online Access:http://psasir.upm.edu.my/id/eprint/9459/1/FSAS_1999_17_A.pdf
http://psasir.upm.edu.my/id/eprint/9459/
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spelling my.upm.eprints.94592024-03-05T09:06:29Z http://psasir.upm.edu.my/id/eprint/9459/ Modeling of Meteorological Data for Coastal Regions of Oman Mohammed Akaak, Ahmed Information of solar radiation at any site is essential for the proper design and assessment of solar energy conversion systems. Empirical modeling is an important and economical tool for the estimation of solar radiation. The aim of this study is to find a suitable model to explain the solar radiation data in Oman. Daily global solar radiation of Oman is modeled using measured climatological data of the four weather stations at different locations over the period of five years. These stations are: Seeb in the North, Surin the East Coast, Masirah, an island off Central Oman and Salalah in the South. The data were obtained from the Directorate General of Civil Aviation and Meteorology in Oman. The daily extraterrestrial solar radiation, H 0' and the maximum daily hours of sunshine, So, are computed. The method used is based on Angstrom formula, which correlates relative global solar radiation to corresponding relative duration of bright sunshine. The daily temperature range (T), the mean humidity (D) and the multiplication of all of them were added to the sunshine duration to give better results. Regression coefficients are obtained and used for prediction of global solar radiation. The results were satisfactory and can be used to predict weather data for stations where such data are not available. Availability of wind energy and its characteristics for four weather stations in Oman has been studied based on primary data collected at these sites for a period of five years. The method used is based on the Weibull parameter distribution. The monthly average wind speed, the monthly mean scale and shape parameters and the monthly mean power density were determined for each station. The results showed that the mean wind speed, the scale and shape parameters and the mean power density have high values during summer season and low values during winter season. The K-S test was applied to the fitted model and showed excellent results for all the stations. As a result wind data used are very well represented by the Weibull distribution function. 1999-12 Thesis NonPeerReviewed text en http://psasir.upm.edu.my/id/eprint/9459/1/FSAS_1999_17_A.pdf Mohammed Akaak, Ahmed (1999) Modeling of Meteorological Data for Coastal Regions of Oman. Masters thesis, Universiti Putra Malaysia. Meteorology - Research - Oman - Coastal Regions English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
topic Meteorology - Research - Oman - Coastal Regions
spellingShingle Meteorology - Research - Oman - Coastal Regions
Mohammed Akaak, Ahmed
Modeling of Meteorological Data for Coastal Regions of Oman
description Information of solar radiation at any site is essential for the proper design and assessment of solar energy conversion systems. Empirical modeling is an important and economical tool for the estimation of solar radiation. The aim of this study is to find a suitable model to explain the solar radiation data in Oman. Daily global solar radiation of Oman is modeled using measured climatological data of the four weather stations at different locations over the period of five years. These stations are: Seeb in the North, Surin the East Coast, Masirah, an island off Central Oman and Salalah in the South. The data were obtained from the Directorate General of Civil Aviation and Meteorology in Oman. The daily extraterrestrial solar radiation, H 0' and the maximum daily hours of sunshine, So, are computed. The method used is based on Angstrom formula, which correlates relative global solar radiation to corresponding relative duration of bright sunshine. The daily temperature range (T), the mean humidity (D) and the multiplication of all of them were added to the sunshine duration to give better results. Regression coefficients are obtained and used for prediction of global solar radiation. The results were satisfactory and can be used to predict weather data for stations where such data are not available. Availability of wind energy and its characteristics for four weather stations in Oman has been studied based on primary data collected at these sites for a period of five years. The method used is based on the Weibull parameter distribution. The monthly average wind speed, the monthly mean scale and shape parameters and the monthly mean power density were determined for each station. The results showed that the mean wind speed, the scale and shape parameters and the mean power density have high values during summer season and low values during winter season. The K-S test was applied to the fitted model and showed excellent results for all the stations. As a result wind data used are very well represented by the Weibull distribution function.
format Thesis
author Mohammed Akaak, Ahmed
author_facet Mohammed Akaak, Ahmed
author_sort Mohammed Akaak, Ahmed
title Modeling of Meteorological Data for Coastal Regions of Oman
title_short Modeling of Meteorological Data for Coastal Regions of Oman
title_full Modeling of Meteorological Data for Coastal Regions of Oman
title_fullStr Modeling of Meteorological Data for Coastal Regions of Oman
title_full_unstemmed Modeling of Meteorological Data for Coastal Regions of Oman
title_sort modeling of meteorological data for coastal regions of oman
publishDate 1999
url http://psasir.upm.edu.my/id/eprint/9459/1/FSAS_1999_17_A.pdf
http://psasir.upm.edu.my/id/eprint/9459/
_version_ 1794564271587196928
score 13.211869

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