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- Title
NASA POWER Project Offers Communities Free Solar Data.
- Authors
Stackhouse, Paul; Patadia, Falguni; Waring, Zoe
- Abstract
NASA's Prediction Of Worldwide Energy Resources (POWER) Project provides solar and meteorological data sets to support renewable energy, building energy efficiency, and agricultural needs. The project offers data parameters from the Clouds and the Earth's Radiant Energy System (CERES) mission for solar irradiance, as well as climate and meteorology parameters from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) data products. POWER has fulfilled over 480 million data requests and supports a range of solar projects, allowing users to select the parameters that suit their needs. The project also offers easy-to-access tools and web applications, such as the Data Access Viewer (DAV), which provides interactive mapping systems and visualization tools. POWER's data products are available globally and have been utilized by diverse users, including private commercial companies, government agencies, and research institutions. The project values user input and encourages communication to collect unique stories from every continent. One example of POWER's impact is its collaboration with SIL International, a nonprofit that uses POWER data products to optimize solar off-grid systems for language education and translations. SIL International developed a web-based Solar Insolation Lookup Tool (SILT) that predicts solar-energy output based on panel orientation. The tool also helps manage energy usage by identifying Dead Days, when solar panel output is insufficient to meet system demands. SIL International has implemented solar power systems across the world and plans to use POWER data products for future projects. POWER's data
- Subjects
UNITED States. National Aeronautics &; Space Administration; CLEAN energy; EARTH sciences; ALTERNATIVE fuels; POWER resources; RENEWABLE energy sources; GEOSPATIAL data
- Publication
Solar Today, 2024, Vol 38, Issue 2, p10
- ISSN
1042-0630
- Publication type
Article