wind energy forecaster a web-based wind energy prediction tool aditya trivedi ’16 advisor: dr....

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Wind Energy Forecaster A Web-based Wind Energy Prediction Tool Aditya Trivedi ’16 Advisor: Dr. Eric Larson

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  • Slide 1
  • Wind Energy Forecaster A Web-based Wind Energy Prediction Tool Aditya Trivedi 16 Advisor: Dr. Eric Larson
  • Slide 2
  • Wind is fast growing source of energy Potential to grow even more Poorly understood by the public Growth of wind will impact the grid Thus, a need to inform the public and accurately predict wind energy generation Motivation and Background
  • Slide 3
  • Web application to predict electricity generation from wind energy Two main functions Electricity generation at existing farms User inputs LOCATION and DISTANCE Potential for generation at arbitrary locations User inputs LOCATION and program uses pre-determined input Application Summary
  • Slide 4
  • Determine a list of active wind farms Determine turbine models installed Turbine characteristics differ model to model and impact generation Aggregate farms by models installed When user makes a query, find all farms within area, get wind forecasts Model Existing Farms
  • Slide 5
  • Determine land characteristics necessary for wind turbine installations Decide type of turbines to use Simulate farm by determining spacing of turbines and assuming an area Model Potential Installations
  • Slide 6
  • USGS Wind Turbine database (farms, turbine models) Wind Turbine manufacturers Over 100 different models installed in US Each is unique! USGS National Land Cover Database (for potential calculations) National Weather Service (wind speeds) Data Sources
  • Slide 7
  • Validation! Compare wind farm output against what the model would have predicted Determine if sources of error are forecast or model related Further Work
  • Slide 8
  • Demonstration