Wind Potential Assessment for Songkhla, Thailand

Authors

  • Chayakorn Chaitammachok Energy Technology Program, Faculty of Engineering, Prince of Songkla University, Hat Yai, 90110 Songkhla, Thailand
  • Juntakan Taweekun Department of Mechanical and Mechatronics, Faculty of Engineering, Prince of Songkla University, Hat Yai, 90110 Songkhla, Thailand
  • Kittinan Maliwan Department of Mechanical and Mechatronics, Faculty of Engineering, Prince of Songkla University, Hat Yai, 90110 Songkhla, Thailand

DOI:

https://doi.org/10.37934/arfmts.118.1.86103

Keywords:

Wind turbine, annual energy productive, levelized cost of electricity, mean wind speeds, WAsP

Abstract

The analysis and evaluation of wind energy projects are important to understand their economic and environmental suitability for installation and operation. Using wind data from the Meteorological Department, Used WAsP software for calculating, simulating, and analyzing the Annual Energy Production (AEP) and then applied it to calculate the Levelized Cost of Electricity (LCOE) of wind turbines installed in the Songkhla province area. The selected areas are suitable for all three models of wind turbines in the simulation. From the wind data analysis, wind direct was found that in the east sector (sector 4), there is the highest wind frequency at the wind station. The simulation results from Laem son-on area and Hua khao area show suitable mean wind speeds for wind farm installations. In the wind turbine simulation, three models were compared: Bonus 300 kW MkIII, Bonus 1.3 MW, and PowerWind 56 900 kW. At the Songkhla cape area, the positions with the highest AEP were 132.485 MWh, 344.419 MWh, and 332.597 MWh, respectively. Hua Khao area, the positions with the highest AEP were 225.284 MWh, 586.303 MWh, and 540.045 MWh, respectively. In the LCOE calculations for all model of wind turbines, at both Laem Son- On and Hua Khao locations, the most cost-effective wind turbine is the Bonus 300 kW. It has an LCOE of $142.43/MWh and $83.76/MWh, respectively. Therefore, the most cost-effective location is Hua Khao.

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Author Biographies

Chayakorn Chaitammachok, Energy Technology Program, Faculty of Engineering, Prince of Songkla University, Hat Yai, 90110 Songkhla, Thailand

real.chayakorn.003@gmail.com

Juntakan Taweekun, Department of Mechanical and Mechatronics, Faculty of Engineering, Prince of Songkla University, Hat Yai, 90110 Songkhla, Thailand

juntakan.t@psu.ac.th

Kittinan Maliwan, Department of Mechanical and Mechatronics, Faculty of Engineering, Prince of Songkla University, Hat Yai, 90110 Songkhla, Thailand

kittinan.m@psu.ac.th

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Published

2024-06-15

How to Cite

Chayakorn Chaitammachok, Juntakan Taweekun, & Kittinan Maliwan. (2024). Wind Potential Assessment for Songkhla, Thailand. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 118(1), 86–103. https://doi.org/10.37934/arfmts.118.1.86103

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