Lake Michigan Wind Assessment Project: A Validation of Laser Wind Sensor Technology
Presentation Type
Poster/Portfolio
Presenter Major(s)
Biostatistics
Mentor Information
Charlie Standridge, David Zeitler
Department
Seymour and Esther Padnos College of Engineering and Computing, Statistics
Location
Henry Hall Atrium 69
Start Date
11-4-2012 9:00 AM
Keywords
Environment, Mathematical Science, Technology
Abstract
This research seeks to validate the use of a Laser Wind Sensor (LWS) unit placed on a research buoy located in Muskegon Lake. The validation process is the first step in exploring the behavior of wind in Lake Michigan and its environmental factors for potential placement of wind turbines. The validation focuses on measuring wind speed and wind direction over a month time span collected continuously. The data collected from the LWS unit was compared to the data from the anemometer on the GVSU Meteorological (MET) Tower which is currently stationed on the shore of Lake Muskegon. Comparison of the wind speed measurements and the differences of measurements of the two devices were analyzed using paired t-test, LOESS: Local Regression Smoothing, and correlation analysis. During the month's time span, several storms were encountered and recorded by the LWS unit. These storms were analyzed separately to determine the efficacy of the LWS unit and its ability to measure high wind speeds.
Lake Michigan Wind Assessment Project: A Validation of Laser Wind Sensor Technology
Henry Hall Atrium 69
This research seeks to validate the use of a Laser Wind Sensor (LWS) unit placed on a research buoy located in Muskegon Lake. The validation process is the first step in exploring the behavior of wind in Lake Michigan and its environmental factors for potential placement of wind turbines. The validation focuses on measuring wind speed and wind direction over a month time span collected continuously. The data collected from the LWS unit was compared to the data from the anemometer on the GVSU Meteorological (MET) Tower which is currently stationed on the shore of Lake Muskegon. Comparison of the wind speed measurements and the differences of measurements of the two devices were analyzed using paired t-test, LOESS: Local Regression Smoothing, and correlation analysis. During the month's time span, several storms were encountered and recorded by the LWS unit. These storms were analyzed separately to determine the efficacy of the LWS unit and its ability to measure high wind speeds.