SSwiFT

Development and Validation of an Offshore-Ready Scanning LiDAR for Marine Atmospheric Wind Field Measurements

Content

SSwiFT Wind aims to revolutionize offshore wind resource assessment by developing a modular floating LiDAR system (LMS) that integrates both scanning and vertical LiDAR technologies, combining the strengths of each. The project places particular emphasis on overcoming the challenges of operating scanning LiDAR on buoys, including the assimilation of LiDAR data into advanced numerical models. This approach will provide unprecedented insights into offshore wind conditions and enhance predictions of turbulence intensity, power output, and wake effects.

SWE’s contribution to the project is the deployment of the “USTUTT-FSL” (Floating Scanning LiDAR developed at the University of Stuttgart), a compact, lightweight, and energy-efficient scanning LiDAR optimized for buoy integration. The ultimate goal is a six- to nine-month at-sea measurement campaign to systematically compare its performance with established LiDAR systems and to support further validation and industrial adoption.

Organisation

Duration:
01.11.2025 - 31.10.2027

Project coordination:
EOLOS Floating Lidar Solutions

Finance:
funded by german BMWE
with 590.107,58 €

This research will be funded by CETPartnership, the Clean Energy Transition Partnership under the 2024 joint call for research proposals, co-funded by the European Commission (GA N°101069750) and funding organisations detailed on https://cetpartnership.eu/calls/joint-call-2024/fundig-organisations. This project will be co-funded by CDTI in Spain (and supported by the Ministry of Science and Innovation), PtJ (BMWE) in Germany and RVO in The Netherlands.

 

Content at SWE

  • Development of an improved version of the University of Stuttgart's floating scanning LiDAR (USTUTT-FSL)
  • Integration of the USTUTT-FSL into a buoy-based LiDAR Modular System (LMS)
  • Validation of the USTUTT-FSL in factory acceptance tests and a several-month offshore measurement campaign
  • Retrospective reliability analysis of the USTUTT-FSL
  • Support in the development of novel forecasting models using real-time LiDAR data assimilation

Further information about the group

Contact at SWE

This image shows Oliver Bischoff

Oliver Bischoff

Dipl.-Ing.

Research Associate

Holger Fürst

M.Sc.

Research Associate

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