Name: Wind Potential at 80 Vertical Meters (per the National Renewable Energy Laboratory)
Display Field: state
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Wind turbines with a hub height of 80 vertical meters would be able to run at 30% capacity on average at the given acreage. Most polygons represent an area of approximately 11.5 square miles. This layer is part of a feature dataset containing layers related to renewable energy opportunities in the state of New Mexico, including wind capacity, solar irradiance, and geothermal potential.
Dataset available as shapefile, csv, kml, and geoJSON from National Renewable Energy Laboratory Wind Prospector (https://maps.nrel.gov/wind-prospector/)
Data update notes: calculation performed by the National Renewable Energy Laboratory (NREL) using 2014 U.S. Wind Industry Average Turbine data. NREL has not made available an update schedule; recommended to check for updated data every few years.
Copyright Text: National Renewable Energy Laboratory
Name: Wind Potential at 110 Vertical Meters (per the National Renewable Energy Laboratory)
Display Field: state
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Wind turbines with a hub height of 110 vertical meters would be able to run at 30% capacity on average at the given acreage. Most polygons represent an area of approximately 11.5 square miles. This layer is part of a feature dataset containing layers related to renewable energy opportunities in the state of New Mexico, including wind capacity, solar irradiance, and geothermal potential.
Dataset available as shapefile, csv, kml, and geoJSON from National Renewable Energy Laboratory Wind Prospector (https://maps.nrel.gov/wind-prospector/)
Data update notes: calculation performed by the National Renewable Energy Laboratory (NREL) using 2014 U.S. Wind Industry Average Turbine data. NREL has not made available an update schedule; recommended to check for updated data every few years.
Copyright Text: National Renewable Energy Laboratory
Name: Wind Potential at 140 Vertical Meters (per the National Renewable Energy Laboratory)
Display Field: state
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Wind turbines with a hub height of 140 vertical meters would be able to run at 30% capacity on average at the given acreage. Most polygons represent an area of approximately 11.5 square miles. This layer is part of a feature dataset containing layers related to renewable energy opportunities in the state of New Mexico, including wind capacity, solar irradiance, and geothermal potential.
Dataset available as shapefile, csv, kml, and geoJSON from National Renewable Energy Laboratory Wind Prospector (https://maps.nrel.gov/wind-prospector/)
Data update notes: calculation performed by the National Renewable Energy Laboratory (NREL) using 2014 U.S. Wind Industry Average Turbine data. NREL has not made available an update schedule; recommended to check for updated data every few years.
Copyright Text: National Renewable Energy Laboratory
Name: Solar Potential (per the National Renewable Energy Laboratory)
Display Field: id
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Shows mean year-round Direct Normal Irradiance (DNI) values, in watts per square meter. DNI measures solar potential without atmospheric scattering. This layer is part of a feature dataset containing layers related to renewable energy opportunities in the state of New Mexico, including wind capacity, solar irradiance, and geothermal potential.
Source: National Renewable Energy Laboratory Solar Prospector (https://maps.nrel.gov/nsrdb-viewer/)
Dataset: Multi Year PSM Global Horizontal Irradiance
Last updated: According to Solar Prospector website, "The data are averaged from hourly model output over 19 years (1998-2016)." Version 3.0.1.
Recommended update schedule: This dataset resulted from a study performed by NREL. NREL has not made available an update schedule; recommended to check for updated data every few years.
Copyright Text: National Renewable Energy Laboratory
Name: Geothermal Potential (per the National Renewable Energy Laboratory)
Display Field: class
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: This dataset is a qualitative assessment of geothermal potential for the U.S. using enhanced geothermal systems (EGS) based on the levelized cost of electricity, with Class 1 being most favorable and Class 5 being least favorable. This dataset does not include shallow EGS resources located near hydrothermal sites or the U.S. Geological Survey assessment of undiscovered hydrothermal resources. The source data for deep EGS temperature at depth from 3 km to 10 km were provided by the Southern Methodist University Geothermal Laboratory, and the analyses for regions with temperatures ≥150°C were performed by NREL. Class 999 regions have temperatures less than 150°C at a 10-km depth and were not assessed for deep EGS potential. Temperature-at-depth data for deep EGS in Alaska and Hawaii are not available. This layer is part of a feature dataset containing layers related to renewable energy opportunities in the state of New Mexico, including wind capacity, solar irradiance, and geothermal potential.
Source: National Renewable Energy Laboratory Geothermal Prospector (https://maps.nrel.gov/geothermal-prospector)
Dataset: USGS 2008 Favorability Map
Last updated: Study performed September 2008.
Recommended update schedule: This dataset resulted from a study performed by NREL. NREL has not made available an update schedule; recommended to check for updated data every few years.
Copyright Text: National Renewable Energy Laboratory