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Wind Resource Assessment of the Southernmost Region of Thailand Using Atmospheric and Computational Fluid Dynamics Wind Flow Modeling

1
Research Center in Energy and Environment, Division of Physics, Faculty of Science, Thaksin University (Phatthalung Campus), Songkhla 90000, Thailand
2
Department of Sciences, Université de Moncton, Edmundston, NB E3V 2S8, Canada
*
Author to whom correspondence should be addressed.
Energies 2019, 12(10), 1899; https://doi.org/10.3390/en12101899 (registering DOI)
Received: 18 March 2019 / Revised: 18 April 2019 / Accepted: 26 April 2019 / Published: 18 May 2019
(This article belongs to the Section Wind, Wave and Tidal Energy)
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Abstract

This paper presents the wind resource assessment of the southernmost region of Thailand using atmospheric and computational fluid dynamics (CFD) wind flow modeling. The predicted wind data by the Weather Research and Forecasting (WRF) atmospheric modeling, assimilated to a virtual met mast, along with high-resolution topographic and roughness digital data, are then used as the main input for the CFD microscale wind flow modeling and high resolution wind resource mapping at elevations of 80 m, 100 m, 120 m, and 140 m agl. Numerical results are validated using measured wind data. Results show that the potential area where the wind speeds at 120 m agl are above 8.0 m/s is 86 km2, corresponding to a technical power potential in the order of 300 MW. The installation of wind power plants in the areas with the best wind resource could generate 690 GWh/year of electricity, thus avoiding greenhouse gas emissions of 1.2 million tonnes CO2eq/year to the atmosphere. On the other hand, developing power plants with International Electrotechnical Commission (IEC) Class IV wind turbines in areas of lower wind resource, but with easier access, could generate nearly 3000 GWh/yr of energy, with a CO2eq emissions avoidance of 5 million tonnes CO2eq on a yearly basis. View Full-Text
Keywords: wind resource assessment; atmospheric modeling; wind power plant; technical power potential; GHG emissions wind resource assessment; atmospheric modeling; wind power plant; technical power potential; GHG emissions
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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 (CC BY 4.0).

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Waewsak, J.; Chancham, C.; Chiwamongkhonkarn, S.; Gagnon, Y. Wind Resource Assessment of the Southernmost Region of Thailand Using Atmospheric and Computational Fluid Dynamics Wind Flow Modeling. Energies 2019, 12, 1899.

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