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Banking on hub height wind data

By Paul Dvorak | April 21, 2017

The full case history, authored by Vaisala, is available after registering here: https://goo.gl/oezeZM

EverPower operates seven wind farms across the US, and its wind and solar development pipeline has locations in multiple states from Washington to Maine. With terrain that varies from simple to highly complex and locations that experience typically harsh North American winters, the company finds that using Triton to provide on-site measurements is one of the most effective ways in reducing wind resource uncertainty in their energy assessments.two pictures, setting up an ultrasonic wind sensor

▪ Collocate a Triton with an onsite met mast for an initial calibration and correlation study, and then move it around project sites to measure wind resource, effectively using Triton as a “proxy met tower” network

▪ Use one Triton to easily add multiple measurement sites to projects with complex terrain and flow regimes

▪ Take advantage of Triton’s low power requirements and high data recovery to measure wind speeds in situations where LiDAR is impractical

▪ Control field maintenance costs with advanced technical training from Vaisala

▪ Get instantaneous, up-to-date information and maintain data integrity through Vaisala’s SkyServe online data service

▪ Get instantaneous, up-to-date information and maintain data integrity through Vaisala’s SkyServe online data service

▪ Use Vaisala’s daily monitoring service to maintain maximum equipment uptime.

For the rest of the three-page case history: https://goo.gl/oezeZM


Filed Under: News
Tagged With: vaisala
 

About The Author

Paul Dvorak

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