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Alfalahi, Saad, Mahdi, Walaa, Alwatar, Sabah, Abdulhadi, Mohammed, Nouh, Aiman. (1403). Assessment of Wind Energy Potential in Green-Mountain, Libya. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 16(2), 243-248. doi: 10.22094/joie.2023.1997285.2104
Saad T.Y. Alfalahi; Walaa Abdul Majeed Mahdi; Sabah Abdullatif Alwatar; Mohammed Abdulhadi; Aiman Nouh. "Assessment of Wind Energy Potential in Green-Mountain, Libya". نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 16, 2, 1403, 243-248. doi: 10.22094/joie.2023.1997285.2104
Alfalahi, Saad, Mahdi, Walaa, Alwatar, Sabah, Abdulhadi, Mohammed, Nouh, Aiman. (1403). 'Assessment of Wind Energy Potential in Green-Mountain, Libya', نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 16(2), pp. 243-248. doi: 10.22094/joie.2023.1997285.2104
Alfalahi, Saad, Mahdi, Walaa, Alwatar, Sabah, Abdulhadi, Mohammed, Nouh, Aiman. Assessment of Wind Energy Potential in Green-Mountain, Libya. نشریه علمی پژوهشی دانشگاه آزاد اسلامی, 1403; 16(2): 243-248. doi: 10.22094/joie.2023.1997285.2104

Assessment of Wind Energy Potential in Green-Mountain, Libya

Journal of Optimization in Industrial Engineering
مقاله 19، دوره 16، شماره 2 - شماره پیاپی 35، آذر 2024، صفحه 243-248    اصل مقاله (633.48 K)
نوع مقاله: Original Manuscript
شناسه دیجیتال (DOI): 10.22094/joie.2023.1997285.2104
نویسندگان
Saad T.Y. Alfalahi* 1؛ Walaa Abdul Majeed Mahdi2؛ Sabah Abdullatif Alwatar2؛ Mohammed Abdulhadi3؛ Aiman Nouh3
1Computer Engineering Department, Medinat El-Elem University College, Baghdad, Iraq.
2Department of Computer Engineering Techniques, Madenat al-Elem University College, 10006 Baghdad, Iraq.
3Electrical Engineering Dept., Faculty of Engineering, University of Omar Almukhtar, 47721 Albaydha, Libya.
چکیده
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.

تازه های تحقیق
  • Weibull distribution concept is used to evaluate wind data collected from several site locations using MLM and LSM algorithms at hub heights 10m and 50m.
  • Results show that both algorithms give similar distribution compared to each other, and both give slightly lower simulation to the measured data at 10m hub height and slightly higher than measured data at 50m height.
  • Wind potential at four sites was evaluated according to international standards, which shows that SHAHAT site has a wind class of ‘Moderate’ at both hub heights.
  • This indicates that investment in wind farm projects in Green-Mountain province.
کلیدواژه‌ها
Wind power plants؛ Wind energy؛ Renewable energy systems؛ Weibull distribution
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