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stephenholleran edited this page Oct 20, 2023 · 11 revisions

IEA Wind Task 43 - Digital Energy Yield Assessment

This wiki will serve as a resource for any additional supporting documentation that is either hosted here on GitHub or by other services (e.g. Presentations).

Our mission is to make the energy yield assessment process more efficient, transparent and reproducible through digitizing and automation.

The WRA Data Model

We have developed the WRA Data Model. This model provides the instructions for how to digitally represent the configuration of an installed met mast, lidar, sodar, floating lidar or solar measurement station. An implementation of the data model therefore can contain the latitude and longitude of where the met mast was installed. At what height is a wind speed measurement been made and by what sensor. How is this sensor mounted onto the mast. How the sensor is connected to the logger and how the logger channel is programmed (i.e. what slope and offset values are programmed into the logger). And how all these properties may have changed over time.

This Task 43 WRA Data Model - An introduction written by Amit Bohara of (Altosphere) is a great first place to start as it explains the need for a standardized data model.

Digital Calibration Certificate

As a requirement resulting from the development of the WRA Data Model, a Digital Calibration Certificates was introduced as a complementary standard. This standard currently supports anemometer calibration certificates according to IEC 61400-12-1:2017.

Dissemination

List of presentations : The list of presentations delivered on behalf of the WRA Data Model.

Tutorials

  1. 2023 Workshop - Floating Lidar Demo - Daniel Nuno.ipynb is a notebook that Daniel Nuno from Eolos demonstrated at the 2023 WRA Data Model workshop where this notebook shows the usefulness of the WRA Data Model, that Eolos now produce for their floating lidars, using the E06 NYSERDA floating lidar.