Potential of wind energy in Medina, Saudi Arabia based on Weibull distribution parameters
Type
DatasetAuthors
AlQdah, Khaled S
Alahmdi, Raed L.

Alansari, Abdulrahman
Almoghamisi, Abdulrahman
Abualkhair, Mohanad
Awais, Muhammad
Date
2021Permanent link to this record
http://hdl.handle.net/10754/674291
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This study aims to assess the potential of wind energy in Medina by using Weibull probability distribution to provide an insight concerning the energy production from the selected wind turbine Aventa AV-7. Scale factors $\textit{c}$ and shape $\textit{k}$ of Weibull distribution, were determined for wind speed frequency. Significant findings included a wind speed recurrence of 2.9 m/s with a probability of 30% approximately. The average $\textit{c}$ and $\textit{k}$ were found to be 3.467 and 2.923 m/s, respectively. The estimated average $\textit{k}$ is relatively high, which indicates that the spread in wind speeds is small. Aventa AV-7 turbine was chosen to test the power generation of wind in Medina. It was found that this wind turbine can generate 8648 kWh/year in the Medina region, which is only 15.2% of the maximum power production. This turbine is expected to generate the maximum possible power output at a wind speed of 7 m/s.Citation
AlQdah, K. S., Alahmdi, R., Alansari, A., Almoghamisi, A., Abualkhair, M., & Awais, M. (2021). Potential of wind energy in Medina, Saudi Arabia based on Weibull distribution parameters. SAGE Journals. https://doi.org/10.25384/SAGE.C.5487644Publisher
SAGE JournalsAdditional Links
https://sage.figshare.com/collections/Potential_of_wind_energy_in_Medina_Saudi_Arabia_based_on_Weibull_distribution_parameters/5487644Relations
Is Supplement To:- [Article]
AlQdah, K. S., Alahmdi, R., Alansari, A., Almoghamisi, A., Abualkhair, M., & Awais, M. (2021). Potential of wind energy in Medina, Saudi Arabia based on Weibull distribution parameters. Wind Engineering, 0309524X2110273. doi:10.1177/0309524x211027356. DOI: 10.1177/0309524x211027356 Handle: 10754/669812
ae974a485f413a2113503eed53cd6c53
10.25384/sage.c.5487644