Modeling of Meteorological Parameters for Libya

Libya is a developing country with large natural resources. The surface of Libya amounts to 1,775,500 km2 and is the fourth biggest African country. The population of Libya amounts to approximately 5 million and is concentrated on the coastal strips though it is divided among cities, villages, an...

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Main Author: Sh-Eldin, Mohammed Ali
Format: Thesis
Language:English
English
Published: 2003
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/11613/1/FSAS_2003_10.pdf
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spelling my-upm-ir.116132024-06-24T03:27:48Z Modeling of Meteorological Parameters for Libya 2003-04 Sh-Eldin, Mohammed Ali Libya is a developing country with large natural resources. The surface of Libya amounts to 1,775,500 km2 and is the fourth biggest African country. The population of Libya amounts to approximately 5 million and is concentrated on the coastal strips though it is divided among cities, villages, and rural areas, while the desert has some green, sunny, and windy oasis where many tribes live there. Due to the random distribution of the villages and oasis among the vast Libyan area it will be very expensive to provide these remote areas with electric energy from the country's grid of electricity. This reason encourages us to consider renewable energy options such as solar, wind, as alternatives. For successful energy research and applications, weather parameters of Libya (wind speed, sunshine duration, humidity, temperature, rainfall, and global solar radiation) have to be modeled. For solar energy applications, information on global solar radiation for specific sites that have no records of weather data is required. A model based on Angstrom formula using weather data such as sunshine, temperature and humidity of five stations in Libya is described. The criteria of choosing the best formula among all formulae were based on R2 value (coefficient of determination), and the value of modeling efficiency (EFF). We can accept any of equations 2.12,2.19, and 2.20 to predict global solar radiation especially the nonlinear equation 2.20. Renewable energy sources - Libya Meteorology - Research - Libya 2003-04 Thesis http://psasir.upm.edu.my/id/eprint/11613/ http://psasir.upm.edu.my/id/eprint/11613/1/FSAS_2003_10.pdf text en public masters Universiti Putra Malaysia Renewable energy sources - Libya Meteorology - Research - Libya Faculty of Science Environmental Studies Sulaiman, Mohd Yusof English
institution Universiti Putra Malaysia
collection PSAS Institutional Repository
language English
English
advisor Sulaiman, Mohd Yusof
topic Renewable energy sources - Libya
Meteorology - Research - Libya

spellingShingle Renewable energy sources - Libya
Meteorology - Research - Libya

Sh-Eldin, Mohammed Ali
Modeling of Meteorological Parameters for Libya
description Libya is a developing country with large natural resources. The surface of Libya amounts to 1,775,500 km2 and is the fourth biggest African country. The population of Libya amounts to approximately 5 million and is concentrated on the coastal strips though it is divided among cities, villages, and rural areas, while the desert has some green, sunny, and windy oasis where many tribes live there. Due to the random distribution of the villages and oasis among the vast Libyan area it will be very expensive to provide these remote areas with electric energy from the country's grid of electricity. This reason encourages us to consider renewable energy options such as solar, wind, as alternatives. For successful energy research and applications, weather parameters of Libya (wind speed, sunshine duration, humidity, temperature, rainfall, and global solar radiation) have to be modeled. For solar energy applications, information on global solar radiation for specific sites that have no records of weather data is required. A model based on Angstrom formula using weather data such as sunshine, temperature and humidity of five stations in Libya is described. The criteria of choosing the best formula among all formulae were based on R2 value (coefficient of determination), and the value of modeling efficiency (EFF). We can accept any of equations 2.12,2.19, and 2.20 to predict global solar radiation especially the nonlinear equation 2.20.
format Thesis
qualification_level Master's degree
author Sh-Eldin, Mohammed Ali
author_facet Sh-Eldin, Mohammed Ali
author_sort Sh-Eldin, Mohammed Ali
title Modeling of Meteorological Parameters for Libya
title_short Modeling of Meteorological Parameters for Libya
title_full Modeling of Meteorological Parameters for Libya
title_fullStr Modeling of Meteorological Parameters for Libya
title_full_unstemmed Modeling of Meteorological Parameters for Libya
title_sort modeling of meteorological parameters for libya
granting_institution Universiti Putra Malaysia
granting_department Faculty of Science Environmental Studies
publishDate 2003
url http://psasir.upm.edu.my/id/eprint/11613/1/FSAS_2003_10.pdf
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