NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level
GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL?s Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using wind speed data and the turbine's power curve, which describes the turbines operating power at different wind speeds. Using data found from this analysis, estimates can be made for the best potential locations for wind energy throughout Bhutan.
Citation Formats
National Renewable Energy Laboratory. (2014). NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level [data set]. Retrieved from https://data.openei.org/submissions/320.
Heimiller, Donna, Gilman, Paul, and Cowlin, Shannon. NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level. United States: N.p., 25 Nov, 2014. Web. https://data.openei.org/submissions/320.
Heimiller, Donna, Gilman, Paul, & Cowlin, Shannon. NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level. United States. https://data.openei.org/submissions/320
Heimiller, Donna, Gilman, Paul, and Cowlin, Shannon. 2014. "NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level". United States. https://data.openei.org/submissions/320.
@div{oedi_320, title = {NREL GIS data: Bhutan Wind Power Density at 50m Above Ground Level}, author = {Heimiller, Donna, Gilman, Paul, and Cowlin, Shannon.}, abstractNote = {GIS data for Bhutan's Wind Power Density at 50m Above Ground Level. NREL developed estimates of Bhutans wind resources at a spatial resolution of 1 km^2 using NREL?s Wind Resource Assessment and Mapping System (WRAMS). Wind turbine output at a given site can be predicted using wind speed data and the turbine's power curve, which describes the turbines operating power at different wind speeds. Using data found from this analysis, estimates can be made for the best potential locations for wind energy throughout Bhutan.}, doi = {}, url = {https://data.openei.org/submissions/320}, journal = {}, number = , volume = , place = {United States}, year = {2014}, month = {11}}
Details
Data from Nov 25, 2014
Last updated Jul 13, 2021
Submitted Nov 25, 2014
Organization
National Renewable Energy Laboratory
Contact
Donna Heimiller
