The aim of this international collaboration research project is to develop the high-resolution wind atlas using 3-D atmospheric model. Mesoscal Compressible Community (MC2) atmospheric model was applied to predict the spatial wind speed over the terrain of Nakhon Si Thammarat and Sonkkhla provinces. The National Centers for Atmospheric Prediction and the National Center for Atmospheric Research (NCEP/NCAR) re-analysis data and GIS data were the model inputs. The Anemoscope toolkit was used to execute and to predict the mesoscale wind speed and resolution. The mesoscale coupling microscale module was executed in order to compute the microscale wind resource over the entire study area. The microscale wind atlas with 500 m resolution at height of 40 m, 65 m, 80 m, 90 m and 100 m were prepared. They were validated with the wind speed which was observed at 40 m along the coast of southern Thailand obtained from 10 met towers. Result showed that the wind speed over the terrain of Nakhon Si Thammarat and Songkhla provinces were in the range of 3-8 m/s. The potential area where wind resource was over 5 m/s was found in the map and represent along the mountainous area. Furthermore, the offshore wind speed was in the range of 4-6 m/s. Results from the development of the Wind Atlas of Nakhon Si Thammarat and Songkhla provinces, Thailand, showed that the region has a good wind regime along the Phuket mountain range and Songkhla Lake, along with a moderate to low wind regime along the Gulf of Thailand coastline at 100 m A.G.L.. The wind regime in the other areas is generally low, even at 100 m A.G.L.. Furthermore, the study also showed that Nakhon Si Thammarat and Songkhla provinces have a moderate offshore wind regime at 100 m A.G.L. along the majority of its shorelines. At the present time, as commercial wind turbines operating at low wind regime are increasingly available, the region should eventually be able to benefit from wind energy development along the Phuket mountain range, the Songkhla lake or its coastlines. The results of this study have shown that the region has a potential for offshore wind energy developments, which may be more cost effective than onshore wind energy projects to exploit, depending on the specific site conditions. The costs of the wind farm power plant project were analyzed using the geo-informatics. It includes local road, 33 kV integration, land, wind turbine generator, installation, operation, maintenance and replacement within 20 years of project lifetime as well as the cost of CDM documentation. The Results showed that there were 2 clusters of 0.75 MW 0.80 MW and 1.00 MW wind farms and were economic feasible. The total installed capacity of wind farm power plants were 5.25 - 7.00 MW. Furthermore, the installed wind farm power plants could avoid the CO2 emission 102,217-122,330 ton CO2-eq for 0.75 MW WTG 0.80 MW WTG and 1.00 MW WTG wind farm respectively.