Assessment of Wind Energy Potential in Green-Mountain, Libya
محورهای موضوعی :
Saad Alfalahi
1
,
Walaa Mahdi
2
,
Sabah Alwatar
3
,
Mohammed Abdulhadi
4
,
Aiman Nouh
5
1 - Computer Engineering Department, Medinat El-Elem University College, Baghdad, Iraq.
2 - Department of Computer Engineering Techniques, Madenat al-Elem University College, 10006 Baghdad, Iraq.
3 - Department of Computer Engineering Techniques, Madenat al-Elem University College, 10006 Baghdad, Iraq.
4 - Electrical Engineering Dept., Faculty of Engineering, University of Omar Almukhtar, 47721 Albaydha, Libya.
5 - Electrical Engineering Dept., Faculty of Engineering, University of Omar Almukhtar, 47721 Albaydha, Libya.
کلید واژه: Wind power plants, Weibull distribution, Wind Energy, Renewable energy systems,
چکیده مقاله :
Abstract:The annual capacity additions from renewable sources across the globe are growing at a rapid rate. Considering the efforts made by the international community to mitigate the effects of global warming, it is anticipated that it will continue to rise. As a result, many nations across the globe are increasing their installed capacities by capitalizing on renewable resources, such as wind resources, in order to satisfy the rising demand for electrical power. In the first part of this study, a wind resource assessment is carried out to determine the wind potential at several different places in the Green Mountain Province, which is in the northeastern part of Libya. The sites with valuable annual wind speed frequency distribution and power density are then evaluated further to determine the technological features required for a wind farm to be constructed there. Wind turbines are chosen based on their power characteristic curves, and those curves must match the resultant wind distribution. To determine the system's financial and technical parameters, the data from the most prominent site are analyzed using two different processing technologies, both of which implement the Weibull Distribution Model. The findings indicate the possibility of implementation at least at two locations, with hub heights of 10 and 50 meters, respectively.
Abstract:The annual capacity additions from renewable sources across the globe are growing at a rapid rate. Considering the efforts made by the international community to mitigate the effects of global warming, it is anticipated that it will continue to rise. As a result, many nations across the globe are increasing their installed capacities by capitalizing on renewable resources, such as wind resources, in order to satisfy the rising demand for electrical power. In the first part of this study, a wind resource assessment is carried out to determine the wind potential at several different places in the Green Mountain Province, which is in the northeastern part of Libya. The sites with valuable annual wind speed frequency distribution and power density are then evaluated further to determine the technological features required for a wind farm to be constructed there. Wind turbines are chosen based on their power characteristic curves, and those curves must match the resultant wind distribution. To determine the system's financial and technical parameters, the data from the most prominent site are analyzed using two different processing technologies, both of which implement the Weibull Distribution Model. The findings indicate the possibility of implementation at least at two locations, with hub heights of 10 and 50 meters, respectively.
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