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Ship-based vertical profiling wind lidar data in Lollex campaign 2022-2023

dataset
posted on 2023-12-14, 11:51 authored by Shokoufeh MalekmohammadiShokoufeh Malekmohammadi

Introduction:

  • Timespan : 2022-09-20 : 2023-08-28
  • Time resolution : 1 second
  • Altitudes (m)= 40 60 80 100 125 150 175 200 225 250 275 290
  • CNR (dB) : signal to noise ratio
  • Radial Wind Speed (m/s) : wind speed observed along the line of sight of the beam at each timestamp
  • Wind Speed (m/s) : Reconstructed wind speed (m/s) at each altitude
  • 10-min Wind Speed (m/s)
  • Wind Direction : wind direction
  • X-wind (m/s) : wind speed component in x direction
  • Y-wind (m/s) : wind speed component in y direction
  • Z-wind (m/s) : wind speed component in z direction
  • Temperature : ambient weather temperature

These data files belong to the Lollex campaign. Data was collected in Rødsand II offshore wind farm (Denmark), aboard the crew transport vessel (CTV) in Rodbyhavn Denmark. The lidar used in this campaign is WindCube V2 offshore produced in Leosphere.


Resource Title

Statistic and Coherence Response of Ship-based Lidar Observations to Motion Compensation

DOI: 10.1088/1742-6596/1669/1/012020


Aim of data collection:

This one-year campaign aimed to assess wind conditions within Rødsand II offshore wind farm (Denmark).The objective of this campaign was to capture a comprehensive picture of the flow inside the wind farm, with a particular emphasis on momentum entrainment and the characteristics of the internal boundary layer (IBL).

Usage of data:

Using this dataset, wind speed profiles inside the wind farm (during the day) and at the harbor (during night) can be determined. It is possible to detect wind direction and wake loss behind the turbines based on the vessel's position within the wind farm.

In order to retrieve wind speed from lidar data, we recommend using the Python Oblopy package (link in references). This Python package has been developed and published by Christina Duscha at University of Bergen. It is a tool for retrieving wind velocity from wind profiling lidar data.

Upon request, routine scripts can also be provided for processing data.

Note: Motion correction has not been applied to this dataset.
Text editors can be used to open these files for preview.

Dataset specification :

Parameters measured:


Funding

EU H2020 Marie Curie Train2Wind project no. 861291

Training school on entrainment in offshore wind power

European Commission

Find out more...

History

Location

Rødsand II offshore wind farm>Lolland>Denmark (54.656944,11.349444)

Date

Start date 2022-09-21 End date 2023-08-28

Topic

  • Siting;>Resource assessment
  • Wind power plant;>Wind farm;>Wakes

Models

  • Not applicable

Activities

  • Measurements;>Field experiment

External conditions

  • Location;>Offshore;>Nearshore

Data category

  • Meteorological data

Contributors

Shokoufeh Malekmohammadi, Christiane Duscha, Mauro Ghirardelli, Joachim Reuder, Gregor Giebel, Jakob Mann

ORCID for corresponding depositor

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    DTU Wind

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