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The main tasks are to advance the use of high-fidelity modelling to improve understanding of the characteristics of the turbulent wakes that develop downstream of large offshore wind farms or tidal stream arrays. Such wakes are important to understand and predict because of their potential to impact the energy supply from such renewable energy projects.
Job Responsibility:
Advance the use of high-fidelity modelling to improve understanding of the characteristics of the turbulent wakes that develop downstream of large offshore wind farms or tidal stream arrays
Analysis will be conducted using high-fidelity CFD model such as Large-Eddy Simulation (LES)
The work will include simulation of shallow boundary layer flows such as atmospheric flows with differing thermal stability and of depth constrained coastal flows with differing bed conditions representative of deployment sites
Interaction of the flow with horizontal axis turbines will be simulated using actuator methods leading to wake development
Boundary conditions to the CFD model will be further developed to analyse the impact of meso-scale variation of the flow occurring over much larger spatial scales than the turbine array
Flow conditions and turbine operating conditions studied will be representative of the sites at which offshore energy projects are being developed
Analysis of model outputs will be conducted to improve understanding of the processes that affect the extent of the farm wake and to quantify the impact on nearby offshore renewable energy projects
This work will include further development and use of an in-house CFD code (DOFAS) as well as drawing on other datasets such as from wider-area resource modelling and physical measurements
These activities will inform further development of the computationally efficient models that are employed for engineering design of wind- and tidal-stream farms and will inform design of physical measurement campaigns to enable further model validation
Requirements:
Development and validation of CFD methods including Large-Eddy Simulation (LES) to resolve turbulent boundary layer flows representative of flows at offshore energy farms
Use of CFD methods including LES to analyse performance, loading and wakes of arrays of turbines in representative flow conditions
Analysis of CFD model outputs to inform reduced order model development, and to inform design of experimental and measurement campaigns
Set-up, conduct and analyse simulations on High Performance Computing platforms, e.g. the Manchester’s Computational Shared Facility (CSF) or ARCHER2, as appropriate
What we offer:
Fantastic market leading Pension scheme
Excellent employee health and wellbeing services including an Employee Assistance Programme
Exceptional starting annual leave entitlement, plus bank holidays
Additional paid closure over the Christmas period
Local and national discounts at a range of major retailers