A Webbased Wind Energy Prediction Tool Aditya Trivedi 16 Advisor Dr Eric Larson Wind is fast growing source of energy Potential to grow even more Poorly understood by the public Growth of wind will impact the grid ID: 541099
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Slide1
Wind Energy Forecaster
A Web-based Wind Energy Prediction Tool
Aditya Trivedi ’16
Advisor: Dr. Eric LarsonSlide2
Wind is fast growing source of energy
Potential to grow even more
Poorly understood by the publicGrowth of wind will impact the gridThus, a need to inform the public and accurately predict wind energy generation
Motivation and BackgroundSlide3
Web application to predict electricity generation from wind energy
Two main functions
Electricity generation at existing farmsUser inputs LOCATION and DISTANCEPotential for generation at arbitrary locations
User inputs LOCATION and program uses pre-determined input
Application SummarySlide4
Determine a list of active wind farms
Determine turbine models installed
Turbine characteristics differ model to model and impact generationAggregate farms by models installedWhen user makes a query, find all farms within area, get wind forecasts
Model – Existing FarmsSlide5
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 InstallationsSlide6
USGS Wind Turbine database (farms, turbine models)
Wind Turbine manufacturers
Over 100 different models installed in USEach is unique!USGS National Land Cover Database (for potential calculations)National Weather Service (wind speeds)
Data SourcesSlide7
Validation!Compare wind farm output against what the model would have predicted
Determine if sources of error are forecast or model related
Further WorkSlide8
Demonstration