Weather and Energy Forecasting

Providing the energy industry with predictable weather data and information to more effectively deploy energy assets for maximum financial return is a GLEAMM priority.

Facilities and Equipment:

  • 432-core Linux cluster to run a high-resolution, probabilistic, real-time forecasting system over Texas and This system produces 36-hr forecasts twice daily and assimilates thousands of observations to provide atmospheric forecasts and their uncertainty throughout the 36-hr forecast window. The system uses 25 forecast members to estimate this uncertainty and to provide probabilities of exceeding certain wind thresholds.
  • West Texas Mesonet
    • 3-cup anemometer is located at the 2 meter level
    • Wind speed and direction data are measured every few seconds to compute mean and peak values
    • Measurement time histories are archived at Texas Tech University
    • Measurements are relayed in real-time every five minutes
    • A regional SODAR network provides measurements of the wind speed through hub height

Team Leaders:

  • Mark Harral, Group NIRE CEO
  • Brian Ancell, Texas Tech Atmospheric Science Researcher
  • Daan Liang, Texas Tech National Wind Institute (NWI) Interim Director and Civil, Environmental, and Construction Engineering Researcher

Experience:

  • The team used advanced meteorological equipment to analyze specific atmospheric characteristics that affect wind flow patterns. Shared projects with NOAA and the Department of Energy’s national laboratories were used to develop improved atmospheric simulations for the Weather Research and Forecasting model, a widely used weather prediction system.

Project Briefs: