Development of novel met-ocean analytical techniques to characterise turbulence.

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Title
Development of novel met-ocean analytical techniques to characterise turbulence.

CoPED ID
808d1051-8de5-43a0-9b4c-d3ba6b3f8709

Status
Active

Funders

Value
No funds listed.

Start Date
Aug. 31, 2019

End Date
Aug. 30, 2023

Description

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One of the biggest challenges to tidal power development is the high cost attributable to conservative engineering of tidal energy converters (TEC's)1. This is due to a lack of understanding of tidal flows and in particular, of turbulence at high energy sites. Turbulence is known to affect turbine loading and power performance, however properly quantifying these effects remains a challenge.
Tidal site characterisation is usually based on methods inherited from the wind energy industry.2 However, this is not appropriate for tidal flows due to a number of differences such as: boundary layer considerations, blade sizes relative to the channel and additional complexities introduced by wave-current interactions, bathymetry and coastline geometries. Many wind turbulence models either have not been properly validated for tidal applications or have been found to be inadequate3.
To date, there have been few large-scale, operational TEC's to provide data, and due to the complex and chaotic nature of turbulent motion, simulations and modelling are challenging. The recent TEC's being tested in the field provide an opportunity for industry and academia to collaborate and use the field data to develop better methods for tidal turbulence characterisation.
This project will be carried out in collaboration with two industrial partners (EMEC and Orbital) and three universities (Edinburgh, Strathclyde and Exeter). The aim is to develop improved analytical methods for characterising tidal turbulence, using field data from Orbital's floating tidal turbine and other available datasets. The effects of turbulence on TEC loading and the sensitivities of various turbulence parameters will be analysed. Synchronous operational turbine data will be analysed to develop methods of relating turbine loads and power output to flow fluctuations and hence to turbulence parameters.

David Ingram SUPER_PER
Alyona Naberezhnykh STUDENT_PER

Subjects by relevance
  1. Turbulence
  2. Tidal energy
  3. Wind energy
  4. Turbines
  5. Simulation

Extracted key phrases
  1. Tidal power development
  2. Tidal turbulence characterisation
  3. Tidal energy converter
  4. Tidal site characterisation
  5. Tidal turbine
  6. Tidal flow
  7. Wind turbulence model
  8. Tidal application
  9. Turbulence parameter
  10. Ocean analytical technique
  11. Synchronous operational turbine datum
  12. High energy site
  13. Analytical method
  14. High cost attributable
  15. Wind energy industry.2

Related Pages

UKRI project entry

UK Project Locations
200 km
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