Strategies for reducing cost of Engineering Optimisation

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Title
Strategies for reducing cost of Engineering Optimisation

CoPED ID
cc928a7e-01b9-45c6-8ea1-41ba4f230aec

Status
Active

Funders

Value
No funds listed.

Start Date
Sept. 30, 2019

End Date
March 30, 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
Thomas Wainwright STUDENT_PER

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

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

Related Pages

UKRI project entry

UK Project Locations