DOE announces $12 million to advance early-stage solar research
The U.S. Department of Energy (DOE) has awarded $12 million for eight projects to advance predictive modeling capabilities for solar generation.
The models will lead to more accurate forecasts of solar generation levels, enabling utilities to better manage the variability and uncertainty of solar power and improve grid reliability.
“These projects will address a critical gap in our research, which is knowing precisely how much solar electricity to expect at any given hour on any given day,” U.S. Secretary of Energy Rick Perry said. “These tools are becoming more important as the solar industry continues to grow, and will work to ensure that solar contributes to the reliability, affordability and resilience of our nation’s electric grid.”
Today’s funding will advance solar forecasting technologies in a coordinated way with partnerships between national labs, universities and industry.
Four projects are aimed at making significant advances in predicting solar generation. Another project at the University of Arizona will build a testing framework to allow industry and academia to evaluate and compare the performance of advanced models according to a transparent set of rules and metrics.
Finally, three projects will study the integration of advanced forecasting technologies with grid planning and operations systems in partnership with the California Independent System Operator, the Midcontinent Independent System Operator and the Electric Reliability Council of Texas. The research will validate whether the technologies can be efficiently integrated into energy management systems and enhance grid operation efficiency, while working to identify future research needs.
Companies: U.S. Department of Energy