Jeff Freedman

Biography

Freedman´s main research focus is on renewable energy issues, including work on improving wind and solar power production forecasting, resource assessment, weather and climate influences, and the interaction of wind farms with the atmospheric boundary layer. His current research projects include: Uncertainty in wind and solar resource assessment; Using remote sensing measurement systems (LiDAR and SoDAR) for renewable energy applications; Detecting trends in the wind and solar resource; and Reliability of short-term power forecasting. Recent sponsored research includes the Wind Forecasting Improvement Project (WFIP), a two-year Department of Energy (DOE)/National Oceanographic and Atmospheric Administration (NOAA) study to demonstrate the value of additional atmospheric observations and model enhancements on wind energy production forecasts, and the development of the Solar Wind Integrated Forecast Tool (SWIFT), a state-of-the-art forecasting service for Hawaii's electric utilities.

Research Interest

Wind and solar power production forecasting; resource assessment; weather and climate influences; interaction of wind farms with the atmospheric boundary layer