SWEPT2
Lead Research Organisation:
University of Bristol
Department Name: Aerospace Engineering
Abstract
The team at Bristol will be responsible for leading the experimental validation of the developed simulation tool (zCFD). This
will be performed using agreed test cases and, in particular, a detailed, iterative, comparison will be performed with data
from the experimental test case to be run at University of Surrey.
will be performed using agreed test cases and, in particular, a detailed, iterative, comparison will be performed with data
from the experimental test case to be run at University of Surrey.
Planned Impact
The UK offshore wind sector is projected to grow to £8bn annually by 2020 so the economic benefits estimated to result
from the new wake modelling tool, at over 1% of project costs, could be considerable across the UK investment.
Research results will be communicated through the ORE Catapult (a project partners ideally suited to this) and publication
in the relevant journals.
from the new wake modelling tool, at over 1% of project costs, could be considerable across the UK investment.
Research results will be communicated through the ORE Catapult (a project partners ideally suited to this) and publication
in the relevant journals.
People |
ORCID iD |
| Christian Allen (Principal Investigator) |
Publications
Bevan R
(2017)
Adaptive Surrogate-Based Optimization of Vortex Generators for Tiltrotor Geometry
in Journal of Aircraft
Curran D
(2016)
Towards Portability For A Compressible Finite-Volume CFD Code
Hall J
(2017)
A volumetric geometry and topology parameterisation for fluids-based optimisation
in Computers & Fluids
Masters D
(2017)
Geometric Comparison of Aerofoil Shape Parameterization Methods
in AIAA Journal
Poole D
(2016)
A generic framework for handling constraints with agent-based optimization algorithms and application to aerodynamic design
in Optimization and Engineering
Poole D
(2017)
High-fidelity aerodynamic shape optimization using efficient orthogonal modal design variables with a constrained global optimizer
in Computers & Fluids
Wainwright T
(2021)
High Fidelity Aero-Structural Simulation of Occluded Wind Turbine Blades
| Description | Simulation tools have been developed that allow more accurate modelling of physics associated with off-shore wind turbines. New wake and turbulence models developed, and new experimental data has been produced for validations. |
| Exploitation Route | Technology developed will provide new capability in terms of wind turbine modelling for accurate measures of energy production. New experimental data has also been produced for future validations. As a results University of Bristol has continued collaborative research with DNV-GL, and a recent EPSRC DTP-funded student is working in this area. |
| Sectors | Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Energy,Environment |
| URL | https://cfms.org.uk/news-events-opinions/news/2018/january/consortium-develops-advanced-wake-modelling-capability-for-the-wind-sector/ |
| Description | The impact of this work is recorded against grant ref EP/N508500/1. |
| First Year Of Impact | 2020 |
| Sector | Aerospace, Defence and Marine,Digital/Communication/Information Technologies (including Software),Energy,Environment |
| Impact Types | Societal,Economic |
| Title | CFD tool |
| Description | High fidelity simulation tool for wind turbines and off-shore flow properties. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2017 |
| Provided To Others? | No |
| Impact | DNV-GL now using this tool for turbine performance prediction. |
| Description | Zenotech/CFMS |
| Organisation | Zenotech |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Via this grant, partnership formed with Zenotech and CFMS generally, considering automatic meshing and incorporating AI into the process. |
| Collaborator Contribution | They will be providing meshes and/or test cases. Also possibility of funding a PhD studentship |
| Impact | CFD and mesh algorithms integrated with AI technology. |
| Start Year | 2016 |
| Title | CFD tool |
| Description | High fidelity simulation tool for wind turbines and off-shore flow properties. |
| Type Of Technology | Software |
| Year Produced | 2017 |
| Impact | DNV-GL now using this tool for turbine performance prediction. |