The North Carolina State Energy Office in the Department of Administration supported the NC Center for Geographic Information and Analysis to develop a polygon layer of windpower potential in North Carolina, based on an analysis and model developed for the State Energy Office by AWS Truewind, LLC of Albany, New York (2004). The data set represents windpower potential measured in Watts per square meter at a tower height of 50 meters, mapped originally in raster format in 200-meter cells by AWS TrueWind. The conversion to a polygon layer makes the data more suitable for web mapping applications, including NC OneMap.
This data set was created to assist energy producers and users and public agencies and others in making resource management decisions through use of a Geographic Information System (GIS).
system filename : windpower50meter_nc.shp in shapefile format file size = 5.1 mb This is the first polygon version of this data set.
Data creation and revision dates
Acknowledgement of products derived from this data set should cite the following: The source of the windpower data set is the State Energy Office with technical assistance from CGIA. The user must be sure to use the appropriate data set for the time period of interest. While efforts have been made to ensure that these data are accurate and reliable within the state of the art, CGIA cannot assume liability for any damages or misrepresentation caused by any inaccuracies in the data or as a result of changes to the data caused by system transfers.
1340 Mail Service Center
Preferred contact is by phone
Vincent Throop and Bob Leker, North Carolina State Energy Office, 1340 Mail Service Center, Raleigh, NC 27699-1340 NCCGIA Director, Tim Johnson Database Administration, Zsolt Nagy Project Manager, Jeffrey Brown North Carolina Center for Geographic Information and Analysis Dept. of Environment and Natural Resources 301 North Wilmington Street, Suite 700, Raleigh, NC 27699-0322
The attributes are based on model results from AWS TrueWind, LLC. The watts per square meter are expressed in ranges that represent low, medium and high windpower potential. The wind resource ratings are consistent with the 7-class scale used by the US Department of Energy.
Using ESRI's ArcGIS software, the dataset was reclassified to assign a value to "nodata" to enable conversion; converted from raster to feature; and projected to state plane coordinates.
These data represent windpower potential for locations in North Carolina including offshore.
At best, the data are accurate to the scale mapped (200 meter cells). Conversion from raster to polygon used the ArcGIS option "simplify polygons."
Model results in grid format.
CGIA copied the windpower grid from the CD furnished by the State Energy Office. The data were provided to the State Energy Office by AWS TrueWind, LLC in grid format, floating point, 200-meter cells in UTM coordinates.
20322 Mail Service Center
Phone and electronic mail preferred
CGIA converted raster to polygon using ArcGIS software and the "simplify polygons" option.
20322 Mail Service Center
CGIA projected the polygon to NC state plane coordinates, NAD 1983 meters. CGIA joined a table of value ranges for watts per square meter for each of the seven classes, represented by "grid_code" from the conversion of the grid to polygon.
20322 Mail Service Center
phone or email
Dataset copied.
Feature geometry.
ESRI
Internal feature number.
ESRI
Feature geometry.
ESRI
Watts per square meter of windpower potential
US Department of Energy
< 200 Watts per square meter, poor potential
US Department of Energy
200 to 300 Watts per square meter, or fair to good windpower potential
US Department of Energy
300 to 400 W/m2, fair potential
US Department of Energy
400 to 500 W/m2, good potential
US Department of Energy
500 to 600 W/m2, very good potential
US Department of Energy
600 to 800 W/m2, superior potential
US Department of Energy
Greater than 800 W/m2, excellent potential
US Department of Energy
Potential windpower in seven classes
US Department of Energy
Less than 200 Watts per square meterl windpower potential
US Department of Energy
200 to 300 W/m2 windpower potential
US Department of Energy
300 to 400 W/m2 windpower potential
US Department of Energy
400 to 500 W/m2 windpower potential
US Department of Energy
500 to 600 W/m2 windpower potential
US Department of Energy
600 to 800 W/m2 windpower potential
US Department of Energy
over 800 W/m2 windpower potential
US Department of Energy
Internal feature number.
ESRI
The attributes for each polygon include a 7-class rating ("grid_code") based on a scale used by the US Department of Energy, a range of Watts per square meter represented by that class, and a label for each of the seven classes.
Data were identified and organized by the North Carolina State Energy Office, 2004. CGIA prepared the geospatial data from the sources detaild in the citation.
20322 Mail Service Center
Phone and electronic mail preferred
NCCGIA is charged with the development and maintenance of the NC OneMap database and, in cooperation with other mapping organizations, is committed to offering its users accurate, useful, and current information about the state. Although every effort has been made to ensure the accuracy of information, errors and conditions originating from physical sources used to develop the corporate database may be reflected in the data supplied. The client must be aware of data conditions and bear responsibility for the appropriate use of the information with respect to possible errors, original map scale, collection methodology, currency of data, and other conditions specific to certain data. NCCGIA does not support secondary distribution of this data. The use of trade names or commercial products does not constitute their endorsement by the NCCGIA or North Carolina State Government.
shapefile
shapefile
contact CGIA 919-733-2090 or dataq@cgia.state.nc.us
Data creation and large data analysis jobs contact Database Administration P:(919)733-2090. All data are available through standard ordering procedures on a cost recovery basis.
20322 Mail Service Center
Phone and electronic mail preferred