The Department of Energy is putting a collective $9 million into 7 projects being developed at universities and government labs that will us big data to lower the cost of solar in various ways. The projects, at places like Yale, and the National Renewable Energy Laboratory, will be focused on using analytics to lower the cost of solar installations and making solar cells more efficient.
Here’s the 7 projects:
- A solar financing model: NREL and solar financing startup Clean Power Finance will use $2.26 million to analyze data from 1,300 solar installation companies to try to create new types of community and regional financing methods.
- A publication and patent reader: SRI International, the University of Toledo and GE (s GE) will use $600K to create software that can read and analyze science publications and patents to unearth innovations that can lower the cost of solar.
- Articulate a solar theory: Gordan…
View original post 201 more words