Fatigue-based design optimization of tidal turbine blades under unsteady flow conditions with coupled artificial neural networks models

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Title
Fatigue-based design optimization of tidal turbine blades under unsteady flow conditions with coupled artificial neural networks models

CoPED ID
60db523d-b704-458f-9ed9-cf5060b1465b

Status
Active

Funder

Value
No funds listed.

Start Date
Sept. 30, 2021

End Date
Sept. 29, 2025

Description

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Tidal stream energy is the most predictable source of renewable energy (Neill & Hashemi, 2018) and has not been deployed in large arrays to achieve economies of scale. Different energy extraction devices are currently under development; however, the horizontal axis tidal stream turbine will be the focus of this research. Energy extracted from a 4.5 m/s moving water can be the same as a 40 m/s wind turbine for a turbine of similar dimensions (Alternative Energy Tutorials, 2020). The levelized cost of energy for tidal stream turbines are very design-dependent, since most of the companies developing these turbines have unique designs, and a standardised tidal stream turbine design has yet to evolve. First strike prices are expected to be under £200/MWh (Milne, 2020), as first offshore wind strike prices shared that upper limit when they were first introduced in 2014. To do so, reliability must be improved, and the structure needs to withstand the stresses throughout the desired lifespan of these devices

Subjects by relevance
  1. Renewable energy sources
  2. Wind energy
  3. Tidal energy
  4. Energy
  5. Turbines
  6. Forecasts
  7. Wind turbines

Extracted key phrases
  1. Standardised tidal stream turbine design
  2. Horizontal axis tidal stream turbine
  3. Tidal turbine blade
  4. Tidal stream energy
  5. Wind turbine
  6. Design optimization
  7. Different energy extraction device
  8. Artificial neural network model
  9. Unique design
  10. Unsteady flow condition
  11. Renewable energy
  12. Fatigue
  13. Offshore wind strike price
  14. Alternative Energy Tutorials
  15. Predictable source

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