Search OEDI Data

Filtered (1% slope and less) direct normal solar resource data for the Southwest United States This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...

Filtered (2% slope and less) direct normal solar resource data for the Southwest United States This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...

Filtered (3% slope and less) direct normal solar resource data for the Southwest United States This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...

Filtered (4% slope and less) direct normal solar resource data for the Southwest United States This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...

Filtered (5% slope and less) direct normal solar resource data for the Southwest United States This data provides filtered solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Exclusions: Contiguous Area 1km squared;...

Stockholm Royal Seaport is one of Europe’s largest urban development projects and is a leader when it comes to next generation sustainable neighborhoods. As part of Stockholm Royal Seaport’s sustainability focus the competition is organized to find long-term solar energy solut...

This entry is supplemental data used as inputs for the 2022 The Opportunity Project sprint. The goal of the sprint is to help island communities transition to a resilient grid powered 100% by renewable energy through the creation of digital tools that use open access federal data ...

The National Science Foundation, the Department of Labor and the Department of Energy have programs that support training for jobs in energy and manufacturing related workforce training programs. This dataset provides a searchable list of the training programs in these areas showi...

The Solar Metrics Online Portal collects data from teams participating in the Rooftop Solar Challenge (RSC II). The data is collected from each jurisdiction on a team over three time periods (past, present, and future). The data collected is used to calculate a team’s market mat...

Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale m...

Berkeley Labs "Utility-Scale Solar", 2022 Edition presents analysis of empirical plant-level data from the U.S. fleet of ground-mounted photovoltaic (PV), PV+battery, and concentrating solar-thermal power (CSP) plants with capacities exceeding 5 MWAC. While focused on key developm...

The SMART-DS datasets (Synthetic Models for Advanced, Realistic Testing: Distribution systems and Scenarios) are realistic large-scale U.S. electrical distribution models for testing advanced grid algorithms and technology analysis. This document provides a user guide for the data...

Lawrence Berkeley National Laboratory (Berkeley Lab) estimates hourly project-level generation data for utility-scale solar projects and hourly county-level generation data for residential and non-residential distributed photovoltaic (PV) systems in the seven organized wholesale m...

For emerging energy technologies, a variety of cost and performance numbers are cited in presentations and reports for present-day characteristics and potential improvements. Amid a variety of sources and methods for these data, the Office of Energy Efficiency and Renewable Energy...