Steered LIDAR Resource Performance and Condition Monitoring For Optimising Offshore Wind Infrastructure

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Title
Steered LIDAR Resource Performance and Condition Monitoring For Optimising Offshore Wind Infrastructure

CoPED ID
498b7eac-b007-4fab-8c83-11a17c96759b

Status
Closed


Value
£2,212,640

Start Date
Sept. 30, 2014

End Date
Sept. 29, 2017

Description

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This project seeks to take a new LIDAR system from construction of field demonstrator through to installation on wind farm and environmental test for marine ruggedisation. The programmable scanning LIDAR under development will bring a step change in LIDAR measurement capability and enable wind farm operators to really know the wind profile that is hitting their turbine, rather than being kept ignorant by unrepresentative hub height measurements. A number of innovative steps will be employed in order to improve accuracy and capability. This will enable the total farm output to be forecast from seconds to minutes ahead, thus enabling truly flexible grid resource planning. The system will also offer savings by reducing infrastructure failure rates. This will be achieved by augmenting condition monitoring systems with detailed mapping of the incident wind vector field. As an added bonus the system will highlight yaw misalignment. The system will assist wind turbine parameter tuning so that wind turbine may be set up like a race car for the relevant operating conditions.

Sgurrenergy Limited LEAD_ORG
Fraunhofer UK Research Limited PARTICIPANT_ORG
Wind Farm Analytics Ltd PARTICIPANT_ORG
Thales UK Limited PARTICIPANT_ORG
Sgurrenergy Limited PARTICIPANT_ORG

Iona Dott PM_PER
Iona Dott PM_PER

Subjects by relevance
  1. Wind energy
  2. Measurement
  3. Wind
  4. Wind power stations
  5. Wind farms
  6. Lidar
  7. Farms
  8. Turbines
  9. Infrastructures
  10. Construction
  11. Renewable energy sources

Extracted key phrases
  1. Lidar Resource Performance
  2. New lidar system
  3. Lidar measurement capability
  4. Offshore Wind Infrastructure
  5. Programmable scanning lidar
  6. Wind farm operator
  7. Incident wind vector field
  8. Wind turbine parameter
  9. Condition Monitoring
  10. Wind profile
  11. Total farm output
  12. Unrepresentative hub height measurement
  13. Step change
  14. Field demonstrator
  15. Innovative step

Related Pages

UKRI project entry

UK Project Locations