Abstract |
Wind power plays a role in easing the climate crisis. The electricity generation from wind can reduce the use of fossil fuels and greenhouse gas emissions into the atmosphere. Among the renewable energy sources, wind energy has been identified as one of the main potential sources for Thailand, and the geographical position of the upper northeast region is advantageous for wind energy generation. However, the optimal sites for installing wind power plants are specific, since wind potential is dependent on many factors. This research proposes approaches to specify the potential areas for wind power projects via simulated wind flow models. To achieve these assessments, the MC2 and Ms-Micro models were applied for mesoscale and microscale atmospheric models combined with a 10 year period of the climate database from NCEP/FNL. The evaluation of energy production, wind turbine selection and the cost of energy at each site have been investigated in this research. Based on the wind resource simulation results, the high potential areas are chiefly located in mountainous areas. It was concluded that the Kalasin site produced the largest energy output for wind power. Consequently, the information from this research can justify the feasibility of wind power plants in Thailand and the model developed can be applied to predict the potential of wind energy in other regions of the world. |