nrel-gis-data-bhutan-wind-power-density-at-50m-above-ground-level

The National Renewable Energy Laboratory in the US specializes in the research and development of renewable energy, energy efficiency, energy systems integration, and sustainable transportation.

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National Renewable Energy Laboratory (NREL)

This data can be viewed using a GIS software. The data includes wind energy resource data for Bhutan. This includes the locations of areas around Bhutan that have potential for wind energy systems.

Bhutan Wind Density GIS.zip

This report outlines possible sources and locations for Solar and Wind energy sources in Bhutan. The information provided in this report may be of use to energy planners in Bhutan involved in developing energy policy or planning wind and solar projects, and to energy analysts around the world interested in gaining an understanding of Bhutan's wind and solar energy potential.

Potential for Development of Solar and Wind Resource in Bhutan

This document outlines the methodology used for creating a detailed high-resolution (1 km^2) wind energy resource map of Bhutan. This document includes the data and analysis used in the making of wind energy resource maps for Bhutan.

Bhutan Wind Energy Mapping Methods.zip

NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level

north-and-south-dakota-high-resolution-50m-wind-resource

GIS shapefile of 1000m resolution 50m height wind resource data for North and South Dakota generated from a raster dataset with a 1000 meter resolution, in a Lambert Azimuthal projection with the following parameters: 
* radius of the sphere of reference -100 15 0.000; 2) longitude of center of projection 46 3 0.000; 
* latitude of center of projection 0.00000
* false easting (meters) 0.00000
* false northing (meters) 0.00000

Dakotas High Resolution Wind Resource shape file.zip

Map-based analysis and GIS exploration tool developed by NREL that shows wind resource for the contiguous United States paired with useful supporting information such as land ownership and topography.

NREL's Wind Prospector

Wind resource data for North America was produced using the [Weather Research and Forecasting Model (WRF)](https://www.mmm.ucar.edu/weather-research-and-forecasting-model). The WRF model was initialized with the European Centre for Medium Range Weather Forecasts Interim Reanalysis (ERA-Interm) data set with an initial grid spacing of 54 km.  Three internal nested domains were used to refine the spatial resolution to 18, 6, and finally 2 km.  The WRF model was run for years 2007 to 2014. While outputs were extracted from WRF at 5 minute time-steps, due to storage limitations instantaneous hourly time-step are provided for all variables while full 5 min resolution data is provided for wind speed and wind direction only.

The following variables were extracted from the WRF model data:
- Wind Speed at 10, 40, 60, 80, 100, 120, 140, 160, 200 m
- Wind Direction at 10, 40, 60, 80, 100, 120, 140, 160, 200 m
- Temperature at 2, 10, 40, 60, 80, 100, 120, 140, 160, 200 m
- Pressure at 0, 100, 200 m
- Surface Precipitation Rate
- Surface Relative Humidity
- Inverse Monin Obukhov Length

Wind Integration National Dataset WIND Toolkit

An online navigable database of the locations of land-based and offshore wind turbines in the United States, corresponding wind project information, and turbine technical specifications, created and maintained by the Lawrence Berkeley National Laboratory (LBNL) Electricity Markets and Policy Group, the U.S. Geological Survey (USGS) Energy Resources Program, and the American Wind Energy Association (AWEA).

US Wind Turbine Database

North and South Dakota High Resolution 50m Wind Resource

puerto-rico-and-virgin-islands-high-resolution-wind-resource

high resolution 50m height wind resource data for Puerto Rico and the U.S. Virgin Islands

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