Prediction of Offshore Wind Speeds
Presentation Type
Event
Full Name of Faculty Mentor
Siming Guo
Major
Physics PreEngineering
Presentation Abstract
Offshore wind turbines are far more efficient than wind turbines on land. This makes offshore wind power very desirable. Before turbines are built the climate, wind shear and elevation are considered to determine the wind speeds at the build spot. These wind speeds directly correlate to how efficient a wind turbine will be. On land this can be an easy task with using past forecasts and wind speed extrapolation calculations but finding wind speeds over a body of water can be much more challenging. I will attempt to find a solution to predicting offshore wind speeds by taking measurements of onshore wind at the same time as offshore winds. This will lead me to finding a correlation to predict offshore wind speeds when only the neighboring onshore wind speeds can be found. Thus allowing a true determination of offshore wind power's cost effectiveness.
Course
499-Physics
Location
Not Available
Start Date
17-4-2019 4:30 PM
End Date
17-4-2019 4:50 PM
Disciplines
Engineering Physics
Recommended Citation
Bennett, James, "Prediction of Offshore Wind Speeds" (2019). Undergraduate Research Competition. 3.
https://digitalcommons.coastal.edu/ugrc/2019/oral/3
Prediction of Offshore Wind Speeds
Not Available
Offshore wind turbines are far more efficient than wind turbines on land. This makes offshore wind power very desirable. Before turbines are built the climate, wind shear and elevation are considered to determine the wind speeds at the build spot. These wind speeds directly correlate to how efficient a wind turbine will be. On land this can be an easy task with using past forecasts and wind speed extrapolation calculations but finding wind speeds over a body of water can be much more challenging. I will attempt to find a solution to predicting offshore wind speeds by taking measurements of onshore wind at the same time as offshore winds. This will lead me to finding a correlation to predict offshore wind speeds when only the neighboring onshore wind speeds can be found. Thus allowing a true determination of offshore wind power's cost effectiveness.