IEA Wind Task 32 Workshop 16:
Lidar Data Filtering
1 October 2019
Workshop leader: Marijn Floris van Dooren (ForWind - University of Oldenburg)
Organization team: Nikola Vasiljevic (Danish Technical University), Andy Clifton (WindForS, U. Stuttgart)
Venue: ForWind - University of Oldenburg, Germany
Background to the Workshop
There is a growing need for community tools that enable simplified sharing of lidar data.
This is partly enabled by the e-WindLidar data formats described in the IRP Wind report Figure 4.3, i.e.;
- Level 0: backscattered signal
- Level 1: Doppler spectra
- Level 2: radial velocity
- Level 3: reconstructed wind velocity
- Level 4: flow characteristic.
The e-WindLidar format and the well-defined data levels provide consistent points in the lifetime of a lidar dataset at which data can be exchanged between users, or where new approaches can be implemented.
The IEA Wind Task 32 "Lidar Data Processing" Workshop Series
Regardless of the level of data, data manipulation typically goes through the same steps each time. These steps are data import - filter- processing - export (see Figure).
IEA Wind Task 32 therefore plans a series of workshops to set up and improve community tools built around these steps:
- Lidar data filtering: the ingest of e-WindLidar level n data, filtering that data, and export back to level n. (Workshop 16: 1 October 2019, Oldenburg)
- Lidar data processing: ingest, filtering, processing level n data, and exporting it to level n+m (early-mid 2020, location TBD)
- Lidar data uncertainty: ingest of level n data, filtering, processing, and ascribing uncertainty to level n+m data. (mid-late 2020, location TBD).
The objective of this series of workshops is to increase the adoption of common tools across the wind lidar community.
A Hands-On Workshop
We're planning several hands on sessions that will help all of us to get the most benefit from the workshop.
Please bring a laptop with a local version of a more-or-less working implementation of a data filtering workflow in matlab, R, or python that leverages the e-WindLidar data formats (including any data files, IDEs / SDKs, etc. that you might need) to the meeting.
Please consider depositing this workflow in the e-WindLidar Github repository to help build up a community tool set. This can be done anonymously (via one of the workshop organizers) or you can do it yourself. This should ideally be done before the workshop.
We'd also like your help to identify and capture issues and opportunities to improve these tools.
Who Should Attend
All wind lidar stakeholders are welcome, including lidar manufacturers, system providers, end users, consultants, researchers, and others.
Please register for the workshop here. Please register before 16 September 2019. Registration for the workshop is free of charge.
After you register, please send us one slide by 23 September that describes your experience with wind lidar and your expectation for the workshop. The slide will be used for the introduction round and uploaded to our website. An example from a previous workshop can be found here. The slides and other material will be available after the Workshop on a password-protected website. Please send your slide in PDF format to Marijn.
Registered participants will receive more information prior to the workshop.
Please contact the workshop leaders (Marijn van Dooren) for any questions about the workshop or logistics.
Please contact the IEA Wind Task 32 Operating Agent with any questions about your country's participation in IEA Wind Task 32.
The workshop will take place at ForWind - University of Oldenburg (Building W33, Küpkersweg 70, 26129 Oldenburg).
If you travel by airplane: the closest airports are in Bremen and Hamburg.
If you travel by train: make sure to get a ticket to Oldenburg in Oldenburg, not Oldenburg in Holstein. From the train station take bus 306 to the ‘Carl-von-Ossietzky-Straße’ bus stop.
The following program is a draft and subject to revision without notice. Please check back for updates!
Day 1: Thursday, October 17th
Educational Session: Lidar-assisted control and systems engineering
Understanding the benefits of lidar-assisted control
Identifying models needed to include lidar-assisted control in wind turbine design
Day 2: Friday, October 18th
Summary of Day 1
Wind turbine optimization using systems engineering
Identifying methods for optimizing wind turbines with lidar-assisted control
Developing a plan for including lidar-assisted control in wind turbine optimization
Summary of the workshop and follow up