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dc.contributor.authorMckinnon, Michael
dc.contributor.authorJohnson, David
dc.date.accessioned2018-11-07T19:37:50Z
dc.date.available2018-11-07T19:37:50Z
dc.date.issued2018-05
dc.identifierCSME108
dc.identifier.isbn978-1-77355-023-7
dc.identifier.urihttp://hdl.handle.net/10315/35304
dc.identifier.urihttp://dx.doi.org/10.25071/10315/35304
dc.description.abstractThe expansion of wind energy development has resulted in larger wind farms and closer placement of turbines to utilize the space available. Each turbine produces a wake that affects downstream turbines, which causes issues such as production loss, blade loading, and fluctuating electrical output. In order to minimize this impact, the wake produced by turbines must first be understood. Experimental methods were used in the exploration of the wake effects of wind turbines. Smoke visualization inside a controlled wind facility was used to determine the helical vortex wake distribution behind a 3.3 m diameter turbine as well as the tip vortex shedding on the blade. Wind Doppler Light Detection and Ranging (LiDAR) measurement devices are used to measure the velocity of aerosols to determine the wind velocity. This technique can be used to measure the airspeed in the wake of a wind turbine. The University of Waterloo Wind Energy Group has a ZephIR z150 LiDAR to use in this study. The LiDAR was verified for accuracy against a cup and vane anemometer. The results determined that the LiDAR was suitable to provide accurate measurements in further turbine wake experiments. The University of Waterloo’s facilities provide the advantage to study wake effects under controlled wind conditions as well as under realistic open-air conditions.en_US
dc.language.isoenen_US
dc.publisherCSME-SCGMen_US
dc.rightsThe copyright for the paper content remains with the author.
dc.subjectWind energyen_US
dc.subjectWake effectsen_US
dc.subjectLiDARen_US
dc.subjectWind farm layouten_US
dc.subjectAdvanced energy systemsen_US
dc.subjectFluid Mechanicsen_US
dc.titleWind Turbine Wake Effect Visualization And LiDAR Measurement Techniquesen_US
dc.typeArticleen_US


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