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Wind Speed Calculation Utilizing the Hellmann Coefficient Method and Roughness Length for Wind Turbine Application
Katuuk H.F.J.
7th International Seminar on Research of Information Technology and Intelligent Systems Advanced Intelligent Systems in Contemporary Society Isriti 2024 Proceedings
Abstract
This study quantifies wind power potential at elevated heights across South Sulawesi by examining the effects of atmospheric stability and surface roughness. Variability in wind speed due to surface types and stability poses challenges for effective wind power plant design. Using the Hellmann coefficient and roughness length, this analysis applies power law and logarithmic law to calculate wind power at higher height across offshore and inland areas. Results show that calm sea conditions in offshore Jeneponto support higher wind speeds at low altitudes, while inland areas with rice paddies, including Jeneponto, Sidrap, Bone, and Takalar, exhibit increased wind resistance. Annual average Hellmann coefficients for offshore Jeneponto, Takalar, and Bone are 0.073, 0.096, and 0.089, with roughness lengths of 0.00242 m, 0.01209 m, and 0.01846 m, respectively. The use of power law and logarithmic law as an initial solution to predict wind speeds at higher altitudes, along with the integration of new wind power plants and energy storage systems, can increase the utilization of renewable energy and meet the electricity needs in the South Sulawesi region.