Wind Speed Calculation Utilizing the Hellmann Coefficient Method and Roughness Length for Wind Turbine Application

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.

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Published
2024-12-11
DOI
https://doi.org/10.1109/isriti64779.2024.10963592
Primary Topic
Remote Sensing and LiDAR Applications
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article
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article

Wind Speed Calculation Utilizing the Hellmann Coefficient Method and Roughness Length for Wind Turbine Application

Syafaruddin Syafaruddin, Yusri Syam Akil, Hein Frans Jules Katuuk
Remote Sensing and LiDAR Applications
article

Wind Speed Calculation Utilizing the Hellmann Coefficient Method and Roughness Length for Wind Turbine Application

Syafaruddin Syafaruddin, Yusri Syam Akil, Hein Frans Jules Katuuk
article en

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.

Hasanuddin University (ID)
Affordable and clean energy
Openalex Percentile: Top 76%
Remote Sensing and LiDAR Applications
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Wind Speed Calculation Utilizing the Hellmann Coefficient Method and Roughness Length for Wind Turbine Application — Syafaruddin Syafaruddin, Yusri Syam Akil, et al. · (2024) | TGRS Research Map | TGRS