Wind energy:

Wind energy

  • Inflow generation for Large Eddy Simulation (LES) of the wind farms

    Inflow generation for Large Eddy Simulation (LES) of the wind farms

    Supervisor: Professor Lin Ma, Professor Mohamed Pourkashanian, Professor Derek B Ingham and Dr Ava Shahrokhi

    Wind farms are large regions usually outside cities and include a number of wind turbines. An accurate simulation of the flow in the wind farm is essential in the design of the wind farm. This project concerns the turbulent inflow generation for large eddy simulation of the wind flow at wind farms.  Inflow generation techniques are among the top notch research topics in the wind engineering field. This instantaneous value of the velocity components consists of their mean and fluctuating values. This information is not known a priori, so it has to be evaluated in an accurate way. Currently, there are two main techniques for this purpose, the recycling (precursor) methods and synthetic methods. The first method is computationally very time consuming while the second method is not accurate for turbulent wind simulations. Therefore, this project will concern an alternative solution for inflow generation which can replace either of these techniques.

    This project, requires a good understanding of CFD and during the work includes simulations using ANSYS/FLUENT.

     

  • Inflow generation for Large Eddy Simulation (LES) of the wind farms

    Large Eddy Simulation Around Buildings (LES)

    Supervisor: Professor Lin Ma, Professor Mohamed Pourkashanian, Professor Derek B Ingham and Dr Ava Shahrokhi

    Computational Wind Engineering has been developing rapidly over the last couple of decades. Among the numerical techniques, Large Eddy Simulation (LES) is capable of simulating complex unsteady turbulent flows, which is very useful for applications such as wind-induced noise/vibrations around buildings and structures. LES is among the top-notch and the most challenging CFD techniques. This project has three major parts.

    1)  Large eddy simulation using different subgrid-scale models.

    2) Boundary condition studies: The correct top and bottom boundary condition that help to maintain the turbulence properties in the domain and also the use of the correct turbulence inlet properties and implementation.

    3) Inflow generation: In order to implement LES around building, it is very important to simulate the wind effects correctly. This requires that the fluctuations of the flow to be initialized properly so that they can represent the wind in the computational domain. The main contribution of this project will be this last part which is also a very challenging part.

     

  • Inflow generation for Large Eddy Simulation (LES) of the wind farms

    Adjoint based optimization of vertical axis wind turbines

    Supervisor: Professor Lin Ma, Professor Mohamed Pourkashanian, Professor Derek B Ingham and Dr Ava Shahrokhi

    Recently vertical axis wind turbines (VAWTs) have been more installed in urban areas than before. They are known to perform better in urban regions compared to horizontal axis wind turbines as they do not require alignment to the oncoming flow. However, these turbines are not aerodynamically efficient. This PhD thesis involves a precise design optimization based on adjoint techniques applied to the design of the vertical axis wind turbines. Adjoint based optimization techniques are closely related to the fluid Navier-Stokes equations and are technically the most efficient and accurate optimization methods applied to CFD problems.

    Depending on the student’s background on CFD, the general steps of the project steps are as follows: (i) Getting familiar with the CFD simulation of the VAWTs, (ii) Getting familiar with discrete and continuous adjoint based methods, (iii) Defining the case study, (iv) CFD simulation, and (iv) Optimization.

     

  • Inflow generation for Large Eddy Simulation (LES) of the wind farms

    Large Eddy Simulation Around Buildings (LES)

    Supervisor: Professor Lin Ma, Professor Mohamed Pourkashanian, Professor Derek B Ingham and Dr Ava Shahrokhi

    Computational Wind Engineering has been developing rapidly over the last couple of decades. Among the numerical techniques, Large Eddy Simulation (LES) is capable of simulating complex unsteady turbulent flows, which is very useful for applications such as wind-induced noise/vibrations around buildings and structures. LES is among the top-notch and the most challenging CFD techniques. This project has three major parts.

    1)  Large eddy simulation using different subgrid-scale models.

    2) Boundary condition studies: The correct top and bottom boundary condition that help to maintain the turbulence properties in the domain and also the use of the correct turbulence inlet properties and implementation.

    3) Inflow generation: In order to implement LES around building, it is very important to simulate the wind effects correctly. This requires that the fluctuations of the flow to be initialized properly so that they can represent the wind in the computational domain. The main contribution of this project will be this last part which is also a very challenging part.

    For further information please contact Professor Derek B Ingham on d.ingham@sheffield.ac.uk

  • Inflow generation for Large Eddy Simulation (LES) of the wind farms

    Adjoint based optimization of vertical axis wind turbines

    Supervisor: Professor Lin Ma, Professor Mohamed Pourkashanian, Professor Derek B Ingham and Dr Ava Shahrokhi

    Recently vertical axis wind turbines (VAWTs) have been more installed in urban areas than before. They are known to perform better in urban regions compared to horizontal axis wind turbines as they do not require alignment to the oncoming flow. However, these turbines are not aerodynamically efficient. This PhD thesis involves a precise design optimization based on adjoint techniques applied to the design of the vertical axis wind turbines. Adjoint based optimization techniques are closely related to the fluid Navier-Stokes equations and are technically the most efficient and accurate optimization methods applied to CFD problems.

    Depending on the student’s background on CFD, the general steps of the project steps are as follows: (i) Getting familiar with the CFD simulation of the VAWTs, (ii) Getting familiar with discrete and continuous adjoint based methods, (iii) Defining the case study, (iv) CFD simulation, and (iv) Optimization.