Version 1
: Received: 12 October 2023 / Approved: 16 October 2023 / Online: 17 October 2023 (11:54:28 CEST)
How to cite:
Jan, Y.; Ahmed, S.; Wang, Y.; Sydney, M. An Investigation of Wind Shear Coefficients and Their Impact on Electrical Energy Generation in Coastal Locations of Balochistan, Pakistan. Preprints2023, 2023101067. https://doi.org/10.20944/preprints202310.1067.v1
Jan, Y.; Ahmed, S.; Wang, Y.; Sydney, M. An Investigation of Wind Shear Coefficients and Their Impact on Electrical Energy Generation in Coastal Locations of Balochistan, Pakistan. Preprints 2023, 2023101067. https://doi.org/10.20944/preprints202310.1067.v1
Jan, Y.; Ahmed, S.; Wang, Y.; Sydney, M. An Investigation of Wind Shear Coefficients and Their Impact on Electrical Energy Generation in Coastal Locations of Balochistan, Pakistan. Preprints2023, 2023101067. https://doi.org/10.20944/preprints202310.1067.v1
APA Style
Jan, Y., Ahmed, S., Wang, Y., & Sydney, M. (2023). An Investigation of Wind Shear Coefficients and Their Impact on Electrical Energy Generation in Coastal Locations of Balochistan, Pakistan. Preprints. https://doi.org/10.20944/preprints202310.1067.v1
Chicago/Turabian Style
Jan, Y., Yong Wang and Mutale Sydney. 2023 "An Investigation of Wind Shear Coefficients and Their Impact on Electrical Energy Generation in Coastal Locations of Balochistan, Pakistan" Preprints. https://doi.org/10.20944/preprints202310.1067.v1
Abstract
This study examines the wind shear coefficient (WSC) values at three coastal wind sites located in the southern region of Balochistan, Pakistan: Pasni, Ormara, and Jiwani. These WSC values were obtained using 10-minute measured wind speed data at heights of 20, 40, and 60 meters above ground level (AGL). Since wind measurements are typically recorded at lower heights due to cost and resource constraints, extrapolation techniques were employed to estimate wind speeds at higher altitudes. However, using a constant WSC value for extrapolation may lead to significant errors between extrapolated and actual wind speed measurements, impacting the energy output of wind turbines. To evaluate the effect of WSC on energy yield, the study employed power curves and frequency distributions for 2MW and 1.5MW wind turbines. Additionally, wind power density was calculated using air density derived from measured air temperature and surface pressure data, covering two years period from November 2016 to August 2018. The overall mean WSC values were found to be 0.076 at Pasni, 0.094 at Jiwani, and 0.053 at Ormara. The study further investigated the seasonal, monthly, and diurnal variations of WSC. For assessing wind resources at a height of 60m, the study utilized Wind Roses, wind power density, and Weibull parameters. Comparing the actual WSC values presented in this paper with those obtained using the 1/7 power law and measured data at 60m AGL, the energy yield from the wind turbines showed reduced output and capacity factor.
Keywords
wind Energy; wind turbine; wind shear; wind power density
Subject
Environmental and Earth Sciences, Sustainable Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
