Wind Speed Weibull Model Identification in Oman, and Computed Normalized Annual Energy Production (NAEP) From Wind Turbines Based on Data From Weather Stations
Osama A. Marzouk

TL;DR
This study models wind speed distributions in Oman using Weibull parameters derived from weather station data (2000-2023) to predict wind energy potential and identify optimal locations for wind farms.
Contribution
It provides localized Weibull parameter estimations and NAEP predictions for multiple sites in Oman, highlighting the most promising locations for wind energy development.
Findings
Thumrait has the highest wind energy potential with 1.727 GWh/MWp/year.
Four locations are significantly windier than others.
Thumrait's wind is fast, unidirectional, and suitable for wind farms.
Abstract
Using observation records of wind speeds from weather stations in the Sultanate of Oman between 2000 and 2023, we compute estimators of the two Weibull distribution parameters (namely, the Weibull distribution's shape parameter and the Weibull distribution's scale parameter) in 10 weather station locations within eight Omani governorates. The 10 weather station locations in Oman and their corresponding governorates are Seeb (in Muscat), Salalah (in Dhofar), Buraimi (in Al Buraimi), Masirah (in Ash Sharqiyah South), Thumrait (in Dhofar), Sur (in Ash Sharqiyah South), Khasab (in Musandam), Sohar (in Sohar), Fahud (in Az Zahirah), and Saiq (in Ad Dakhiliyah). The obtained wind speed distributions at these weather stations are then used to predict the annual energy production (AEP) for a proposed reference amount of 1 MWp of wind turbine capacity, and this specific AEP is designated here by…
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Taxonomy
TopicsWind Energy Research and Development · Energy Load and Power Forecasting · Wind Turbine Control Systems
