Providing the Energy Industry with Predictable
Weather Data and Information to More Effectively
Deploy Energy Assets for Maximum Financial Return

Weather and Energy Forecasting2019-04-12T09:30:04+00:00

Weather and Energy Forecasting

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 Mesonet3-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
  • Texas Tech National Wind Institute (NWI) 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 Brief

Weather Forecasting White Paper