Triton at Ecofys

Triton Verification Analysis

As part of wind measurement campaigns, a remote sensing system is often placed in close proximity to a met tower in order to validate the remote sensing measurements and provide greater certainty in any later analytical work.

An accurate, fast verification analysis will help you get the rest of your wind measurement campaign started more quickly and provide additional confidence in your wind resource assessment.

As part of wind measurement campaigns, a remote sensing system is often placed in close proximity to a met tower in order to validate the remote sensing measurements and provide greater certainty in any later analytical work.

A Remote Sensing / Met Tower Collocation Study analyzes data sets from a side-by-side measurement campaign, providing an understanding of the relative performance of the remote sensing system and the met tower. The analysis focuses on the bias and correlation of the wind speed measurements, compares the wind direction data, and concludes with an assessment of the expected uncertainty of the remote sensing measurements.

Features
A review of the site characteristics and installed equipment
Quality control of the remote sensing data and application of potential correction factors
Quality control of the met tower data
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Key Benefits

Validation, confidence, and an uncertainty value
Assigning an uncertainty value to the remote sensing data is useful not only in eventual wind resource assessment, but can help the project developer make decisions about the design of an overall met campaign. Validating the remote sensing system and the met tower data by comparing them gives the analyst additional confidence in both data sets and provides greater insight into the entire measurement campaign.
Characterization of site conditions
Creating a record of the site conditions and any concerns about the data sets is an important element of later wind resource analysis.
Shear validation
If the remote sensing system is later moved, data from the collocation study can be used to improve the quality of shear extrapolations to data from the met tower.