2012 ©
             Publication
Journal Publication
Title of Article Modeling of wind energy potential using a high-resolution grid over Mekong riverside region in the northeastern part of Thailand 
Date of Acceptance 5 October 2022 
Journal
     Title of Journal Theoretical and Applied Climatology 
     Standard SCOPUS 
     Institute of Journal Springer Nature 
     ISBN/ISSN  
     Volume 2022 
     Issue 150 
     Month November 2022
     Year of Publication 2022 
     Page 1587–1604 
     Abstract Wind energy has become more prominent with contributions to CO2 emission reduction, energy prices, and climate change issues. High-resolution wind energy potential maps of the Mekong riverside area in the upper northeastern part of Thailand at elevations of 100, 120, and 200 m above sea level (ASL) are presented in this paper, made using coupled mesoscale and microscale atmospheric wind flow modeling. Wind resource maps are presented and validated with observed wind data from three wind measurement towers installed along the Mekong riverside. Wind resource maps at an elevation of 120 m (ASL) show that the northern region near Laos is characterized by wind speeds in the range of 1.29 to 3.79 m/s, while the mountainous area in Mukdahan has wind speeds in the range of 1.63 to 3.85 m/s. As stipulated in Thai energy policies for wind power plant development, the annual energy production, the capacity factors, and the reduction of CO2 gas emissions are analyzed for wind power plants generated by 2.5-, 3.3-, and 4.5-MW wind turbine generators. Results show a high potential for energy production in Mukdahan province, with a 2.5-MW wind turbine generating 62,315 MWh/year for a very small power producer (VSPP) wind power plant. Under the small power producer (SPP) condition, a plant could produce 68,454 MWh/year along with 16% of capacity factors. Eventually, the CO2 emission gases are reduced by approximately 4915 tons of CO2 emission/year for the VSPP plant, while the SPP plant could reduce them by 24,575 tons of CO2 emission/year. 
     Keyword Wind energy potential; Wind resource map; Atmospheric modeling; High-resolution map; Thailand 
Author
617040018-2 Miss SUPITCHA TAWINPRAI [Main Author]
Engineering Doctoral Degree
605040113-3 Miss PANIDA SUKSOMPROM
Engineering Master's Degree
587040004-0 Mr. SUPACHAI POLNUMTIANG
Engineering Doctoral Degree

Reviewing Status มีผู้ประเมินอิสระ 
Status ตีพิมพ์แล้ว 
Level of Publication นานาชาติ 
citation true 
Part of thesis true 
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