Modelling of weather characteristics and wind power in the eastern part of Saudi Arabia

Ahmed Z. Al-Garni; Ahmet Z. Sahin; Abdulghani Al-Farayedhi

doi:10.1002/(SICI)1099-114X(199907)23:9<805::AID-ER516>3.0.CO;2-6

Modelling of weather characteristics and wind power in the eastern part of Saudi Arabia

Ahmed Z. Al-Garni^*, Ahmet Z. Sahin, Abdulghani Al-Farayedhi

^*Corresponding author for this work

King Fahd University of Petroleum and Minerals

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

In this work, the weather conditions and wind power in the eastern part of Saudi Arabia over a period of 36 years (1961-1996) are studied and modelled. The study involves temperature, relative humidity, fog, wind speed, wind power and dust storms. A regression analysis is carried out by using the linear regression technique to model the weather parameters. The models developed can be used in any study related to weather and its effect on the environment and energy.

Original language	English
Pages (from-to)	805-812
Number of pages	8
Journal	International Journal of Energy Research
Volume	23
Issue number	9
DOIs	https://doi.org/10.1002/(SICI)1099-114X(199907)23:9<805::AID-ER516>3.0.CO;2-6
Publication status	Published - Jul 1999
Externally published	Yes

Keywords

Dust
Energy
Environment
Fog
Humidity
Saudi Arabia
Temperature
Weather
Wind
Wind power

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/(SICI)1099-114X(199907)23:9<805::AID-ER516>3.0.CO;2-6

Cite this

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title = "Modelling of weather characteristics and wind power in the eastern part of Saudi Arabia",

abstract = "In this work, the weather conditions and wind power in the eastern part of Saudi Arabia over a period of 36 years (1961-1996) are studied and modelled. The study involves temperature, relative humidity, fog, wind speed, wind power and dust storms. A regression analysis is carried out by using the linear regression technique to model the weather parameters. The models developed can be used in any study related to weather and its effect on the environment and energy.",

keywords = "Dust, Energy, Environment, Fog, Humidity, Saudi Arabia, Temperature, Weather, Wind, Wind power",

author = "Al-Garni, \{Ahmed Z.\} and Sahin, \{Ahmet Z.\} and Abdulghani Al-Farayedhi",

year = "1999",

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language = "English",

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AU - Al-Garni, Ahmed Z.

AU - Sahin, Ahmet Z.

AU - Al-Farayedhi, Abdulghani

PY - 1999/7

Y1 - 1999/7

N2 - In this work, the weather conditions and wind power in the eastern part of Saudi Arabia over a period of 36 years (1961-1996) are studied and modelled. The study involves temperature, relative humidity, fog, wind speed, wind power and dust storms. A regression analysis is carried out by using the linear regression technique to model the weather parameters. The models developed can be used in any study related to weather and its effect on the environment and energy.

AB - In this work, the weather conditions and wind power in the eastern part of Saudi Arabia over a period of 36 years (1961-1996) are studied and modelled. The study involves temperature, relative humidity, fog, wind speed, wind power and dust storms. A regression analysis is carried out by using the linear regression technique to model the weather parameters. The models developed can be used in any study related to weather and its effect on the environment and energy.

KW - Dust

KW - Energy

KW - Environment

KW - Fog

KW - Humidity

KW - Saudi Arabia

KW - Temperature

KW - Weather

KW - Wind

KW - Wind power

UR - https://www.scopus.com/pages/publications/0005035161

U2 - 10.1002/(SICI)1099-114X(199907)23:9<805::AID-ER516>3.0.CO;2-6

DO - 10.1002/(SICI)1099-114X(199907)23:9<805::AID-ER516>3.0.CO;2-6

M3 - Article

AN - SCOPUS:0005035161

SN - 0363-907X

VL - 23

SP - 805

EP - 812

JO - International Journal of Energy Research

JF - International Journal of Energy Research

IS - 9

ER -

Modelling of weather characteristics and wind power in the eastern part of Saudi Arabia

Abstract

Keywords

UN SDGs

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