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Wind energy potential analysis for Thailand: Uncertainty from wind maps and sensitivity to turbine technology
Authors:Kasemsan Manomaiphiboon  Carina P Paton  Thayukorn Prabamroong  Nuttee Rajpreeja  Nosha Assareh  Montana Siriwan
Institution:1. The Joint Graduate School of Energy and Environment, King Mongkut’s University of Technology Thonburi, and Center for Excellence on Energy and Environment Technology, Ministry of Education, Bangkok, Thailand;2. CDH Energy Corp., Cazenovia, New York, USA;3. Faculty of Environment and Resource Studies, Mahasarakham University, Maha Sarakham, Thailand;4. Energy Policy and Planning Office, Ministry of Energy, Bangkok, Thailand;5. Office of Natural Resources and Environmental Policy and Planning, Ministry of Natural Resources and Environment, Bangkok, Thailand
Abstract:Rapid development of wind energy has been witnessed in Thailand. However, different wind resource maps (over land) have brought great uncertainty to wind energy planning. Here, four important mesoscale wind maps were considered: DEDP (2001), World Bank (2001), Manomaiphiboon et al. (2010) of JGSEE, and DEDE (2010). The wind maps were first harmonized to a common grid at 100 m and then compared. The earlier wind maps (DEDP and World Bank) are shown to represent the lower and upper limits of predicted speed, respectively, while JGSEE and DEDE tend to be more moderate with predictions statistically closer to observations. A consolidated wind map was constructed based on their median and shown to have the best prediction performance. It was then used for the technical potential analysis, in which three large (2-MW) turbine models (two conventional and one designed for low wind speed) were considered. By GIS techniques, any land areas not feasible for large wind turbines were excluded, and the corresponding overall onshore technical potential ranges between 50 and 250 GW, depending on map and turbine model. Considering only economically feasible turbines (with capacity factors of 20%) and the median-based map, the final technical potential equals 17 GW when using the low-wind-speed model but is reduced to 5 GW with the conventional models, adequately meeting the national wind energy target of 3 GW by the year 2036. The results suggest a strong sensitivity of estimated technical potential to turbine technology and a suitability of low-wind-speed turbines for wind conditions in Thailand.
Keywords:GIS  land exclusion layer  technical potential  wind energy policy  wind turbine
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