Strategies for reducing cost of Engineering Optimisation

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Title
Strategies for reducing cost of Engineering Optimisation

CoPED ID
f948bbf7-99ea-4083-b548-9d105509ffa8

Status
Closed


Value
No funds listed.

Start Date
Sept. 30, 2019

End Date
March 31, 2023

Description

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Improvements on CFD methods used in wind farm simulations.
This project seeks to advance numerical methods used during CFD simulations in the wind energy sector. The project has two distinct fields of study: turbine level, and farm level. At turbine level GPU technology is being utilised develop faster, high-fidelity numerical methods, suitable for optimisation. Following this, the code will be coupled with a structural solver and SVD shape optimisation framework developed at the University of Bristol, to facilitate Aero-structural optimisation of turbine blades. At the farm level, a GPU accelerated solver is being developed to incorporate slip-plane meshing, allowing the modelling of multiple moving turbine blades at a reduced computational cost. The key aim for this part of the project is to capture unsteady wake effects on turbine blades, and thus be able to more accurately more and predict the fatigue life behavior of the blades.

Daniel Poole SUPER_PER

Subjects by relevance
  1. Simulation
  2. Optimisation
  3. Numerical methods
  4. Turbines
  5. Wind energy

Extracted key phrases
  1. Turbine level GPU technology
  2. Wind farm simulation
  3. CFD method
  4. Fidelity numerical method
  5. Turbine blade
  6. CFD simulation
  7. Farm level
  8. Reduced computational cost
  9. Engineering Optimisation
  10. Wind energy sector
  11. Strategy
  12. SVD shape optimisation framework
  13. Structural optimisation
  14. Project
  15. Structural solver

Related Pages

UKRI project entry

UK Project Locations