DOE announces new projects to boost solar energy
The DOE announced seven data-driven projects to unearth new opportunities for reducing costs and accelerating solar energy deployment in the U.S.
As part of the Department of Energy's SunShot Initiative, the DOE announced seven data-driven projects to unearth new opportunities for reducing costs and accelerating solar energy deployment in the U.S.
These projects — located in California, Colorado, Connecticut, Massachusetts, North Carolina and Texas — will improve the operations of solar energy researchers, manufacturers, developers, installers and policymakers, and speed the commercialization and deployment of solar energy.
"Through powerful analytical tools developed by our nation's top universities and national labs, we can gain unparalleled insight into solar deployment that will help lower the cost of solar power and create new businesses and jobs," said Energy Secretary Steven Chu. "Projects like these will help accelerate technological and financing innovations — making it easier for American families and businesses to access clean, affordable energy."
The DOE will invest about $9 million across the seven projects announced today. These efforts will help scientists, project developers, installers and communities work together to discover previously unexplored ways to improve solar cell efficiency, reduce costs and streamline installation processes.
As part of the investment, the DOE will provide $7 million to research teams led by Sandia National Laboratories, the National Renewable Energy Laboratory, Yale University and the University of Texas – Austin. These teams will partner with public and private financial institutions, utilities and state agencies to apply statistical and computational tools to industry problem-solving and lead regional pilot projects across the country to test the impact and scalability of their innovations.
For example, Yale University researchers will partner with SmartPower's New England Solar Challenge to design and implement innovative strategies that can increase the effectiveness of community-led bulk solar purchase programs. The team from the University of Texas – Austin will work with complex datasets from six Texas utilities to better understand customer needs and identify opportunities to streamline installation and interconnection.
Similarly, the National Renewable Energy Laboratory in Golden, Colorado, will lead another project with Clean Power Finance to develop a computational model that will analyze data from over 1,300 solar installation companies to establish new types of community- and regional-scale financing structures.
Additionally, the DOEis investing $2 million across three projects led by the University of North Carolina – Charlotte, Massachusetts Institute of Technology and SRI International to analyze decades' of scientific publications, patents and cost and production data. Through these projects, researchers will be able to obtain a complete picture on the U.S. solar industry and discover methods to accelerate technological breakthroughs and remove roadblocks to greater cost reduction.
Based in Menlo Park, California, SRI International will develop advanced software that reads and analyzes thousands of scientific publications and patents to discover new ways to speed solar energy technology innovation and commercialization. Meanwhile, Massachusetts Institute of Technology and the University of North Carolina – Charlotte will apply computational tools to patent, cost and production data to speed up solar technology cost reductions and better forecast future cost reductions for new energy technologies.