File:Wind Energy Resource Atlas of Sri Lanka and the Maldives.pdf

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This wind energy resource atlas identifies the wind characteristics and distribution of the wind resource in the countries of Sri Lanka and the Maldives. The detailed wind resource maps and other information contained in the atlas facilitate the identification of prospective areas for use of wind energy technologies for utility-scale power generation, village power, and off-grid wind energy applications. The maps portray the wind resource with high-resolution grids of wind power density at 50-m above ground. The wind maps were created at the National Renewable Energy Laboratory (NREL) using a computerized wind mapping system that uses Geographic Information System (GIS) software. NREL’s sophisticated wind mapping methodology integrates terrain and climatic data sets, GIS technology, and analytical and computational techniques. The meteorological data sources include surface and upper-air data taken from measurement stations, ocean surface winds derived from satellite measurements, and computer model-derived estimates. Mesoscale model data from TrueWind Solutions (an NREL subcontractor) were used for initial estimates of the wind power in Sri Lanka. The initial estimates in certain regions of Sri Lanka were adjusted after NREL’s evaluation of the available meteorological data (including measurement data collected by the Ceylon Electricity Board at prospective wind development sites) and other climatic data sets. The primary adjusted regions were selected coastal areas, the central highlands, and areas of northern Sri Lanka. For the Maldives, the most important data was the ocean satellite data, which NREL used in combination with some surface-station data and upper-air data to estimate the wind speed and power. The wind resource at 50 m for the atoll islands in the Maldives is essentially the same as for the surrounding ocean areas, because the individual islands are too small to have a significant effect on the ambient wind resource at 50-m height. Surface roughness data for the Maldives islands were not available, but any trees or buildings will minimally affect the 50-m wind power values on the small islands. However, treed or other areas with obstructions will have considerably reduced resource at 20 m or 30 m compared to the 50 m values. The wind-mapping results for Sri Lanka show many areas that are estimated to have good-toexcellent wind resources. These areas are concentrated largely in two major regions. The first is the northwestern coastal region from the Kalpitiya Peninsula north to Mannar Island and the Jaffna Peninsula. The second region is the central highlands in the interior of the country, largely in the Central Province but also in parts of Sabaragamuwa and Uva Provinces. Much of the highlands region is over 1500 m in elevation, and the best sites are those that are well exposed to the strong southwest monsoon winds. Other regions with notable areas of good wind resource include the exposed terrain in the southern part of the North Central Province and coastal areas in southeastern part of the Southern Province. High-quality wind measurement data were available to confirm the map estimates of wind resource in specific areas, such as the Kalpitiya Peninsula, the central highlands, and the southeast coast. The seasonal distribution of the wind resource for a particular site in Sri Lanka depends on elevation, its location, and its exposure to the monsoon flows. Throughout much of Sri Lanka, places exposed to both monsoon flows will have maximum resource from May through September (southwest monsoon) and a secondary maximum resource from December through February (northeast monsoon)

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current10:31, 26 May 2011Thumbnail for version as of 10:31, 26 May 20111,275 × 1,650, 175 pages (28.71 MB)Nlangle (Talk | contribs)This wind energy resource atlas identifies the wind characteristics and distribution of the wind resource in the countries of Sri Lanka and the Maldives. The detailed wind resource maps and other information contained in the atlas facilitate the identific

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