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