Data Visualization and Geospatial Tools
NREL's geospatial data science researchers have developed tools that allow users to apply our data. These tools help determine things such as how much electricity can be produced from solar systems on a house or what renewable resources are available in a specific areas.
Examine, distribute, and analyze geothermal resources and identify sites for geothermal development.
View, download, and analyze hydrogen data spatially and dynamically. HyDRA contains hydrogen demand, resource, infrastructure, cost, production, and distribution data.
Marine and Hydrokinetic Data
Explore wave energy resources and ocean thermal energy conversions for all U.S. coastlines.
Examine the viability of three solar technologies in the United States at the state and federal levels.
Visualize, explore, and download solar resource data from the National Solar Radiation Database.
Explore this collaborative effort between government, industry, and the public to compile a comprehensive database of photovoltaic installation data for the United States.
Access via a public interface some of the photovoltaic performance data contributed to NREL.
Estimate the energy production and cost of energy of grid-connected photovoltaic energy systems throughout the world.
Visualize U.S. rooftop solar technical potential by income, building type, and tenure occupancy in the residential sector.
Find alternative fueling stations, discover where alternative fuel vehicles are concentrated, and explore alternative fuel production facilities.
Explore electric vehicle infrastructure within the state of California.
Visualize data and analyze the potential for wind energy.
The Renewable Energy Data Explorer provides analytic tools to facilitate renewable energy decision-making, investment, and deployment. Countries/regions include:
- ASEAN Region
- Central Asia Region
The Geospatial Toolkit is an NREL-developed, map-based group of software applications that integrates resource data and other geographic information systems data for integrated resource assessment.