Wind Resource Assessment of the Southernmost Region of Thailand Using Atmospheric and Computational Fluid Dynamics Wind Flow Modeling
| Autor: | Somphol Chiwamongkhonkarn, Yves Gagnon, Jompob Waewsak, Chana Chancham |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Control and Optimization
Meteorology 020209 energy Energy Engineering and Power Technology technical power potential 02 engineering and technology Atmospheric model atmospheric modeling Computational fluid dynamics lcsh:Technology Wind speed 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering wind power plant Engineering (miscellaneous) Wind power Renewable Energy Sustainability and the Environment business.industry wind resource assessment GHG emissions lcsh:T 021001 nanoscience & nanotechnology Weather Research and Forecasting Model Greenhouse gas Wind resource assessment Environmental science Electricity 0210 nano-technology business Energy (miscellaneous) |
| Zdroj: | Energies, Vol 12, Iss 10, p 1899 (2019) Energies; Volume 12; Issue 10; Pages: 1899 |
| ISSN: | 1996-1073 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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