Wind energy:

Wind energy

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

    Computational analysis of the flow through aerofoil cascades

    Supervisor: Professor Mohamed Pourkashanian, Professor Lin Ma, Professor Derek Ingham

    One of the major global concerns is the environmental pollution from the burning of fossil fuels, and there is a growing awareness of the impact of emission from the shipping industry using fossil fuel as a power source. Utilizing wind energy over the sea to offset fossil fuel consumption in ships has attracted more and more interest. One of the emerging technologies is to employ a set of ridged sail to power the ship. This project aims to use computational fluid dynamics (CFD) to analyse and optimise the aerodynamics flow over ridged sail cascades.

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

    Advanced Wind Turbine Control Systems

    Supervisor: Professor Mohamed Pourkashanian, Professor Lin Ma, Professor Derek Ingham

    Wind turbine control is necessary to ensure low maintenance costs and efficient performance. The control system also guarantees safe operation, optimizes power output, and ensures long structural life. Turbine rotational speed and the generator speed are two key areas that you must control for power limitation and optimization. This project will focus on the control strategies/techniques for wind turbine control systems of small vertical axis wind turbines for the built environment in urban, suburban and remote areas. The work will be built on and closely linked to existing research on the aerodynamics of the wind turbines. Advanced computational fluid dynamics modeling techniques will be employed to analyse the aerodynamic response of the turbine to give critical feedback to the control system. Experimental tests will be part of the investigation. Accurate simulation capability and tools will be developed in order to predict, and subsequently optimize, the performance of the wind turbine.

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

    Advanced Wind Turbine Technology for Urban Environments

    Supervisor: Professor Mohamed Pourkashanian, Professor Lin Ma, Professor Derek Ingham

    Wind is one of the main renewable energy sources in the world and wind turbines are the main technology that converts wind energy to electricity. The proposed research will focus on the design of a new generation of small sized wind turbines. One of the key areas that will be investigated is the characteristics of the aerodynamics of the turbine blades which have a significant impact on the efficiency of power generation, the level of noise produced and the durability of the wind turbine. Advanced computational fluid dynamics and mathematical modeling and design technology will be developed together with supplementary experimental investigations to analyze and improve the overall performances of the wind turbine. The work will be part of a team effort in the wind energy research at Leeds.

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

    Aerodynamic optimization of wind farms

    Supervisor: Professor Mohamed Pourkashanian, Professor Lin Ma, Professor Derek Ingham

    Wind farms, as a main technology to convert wind energy into electricity faces challenges in improving its efficiency and reducing costs. Aerodynamically, the overall performance of a wind farm is significantly influenced by the wind conditions and the arrangement of the wind turbines. The proposed research will focus on the aerodynamic design of the wind farm to reduce the turbine wake effects and maximize the wind farm power output. Advanced mathematical and computational fluid dynamics modeling techniques will be employed with supplementary experimental investigations. Strategies on wind and hydro power integration for energy storage will also be investigated. The research will improve our knowledge of wind farm aerodynamics and develop a predictive tool for large scale wind farm optimization.

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

    CFD Study of Wind Turbine Aerodynamics

    Supervisor: Professor Mohamed Pourkashanian, Professor Lin Ma, Professor Derek Ingham

    Wind turbine is the main technology that converts wind energy to electricity. The interaction between air flow and the turbine blade are critical to the structure integrity and noise generation of the turbine. The proposed research will focus on modeling and optimization of aerodynamic flow over a turbine blade in order to decrease the drag, and control noise generation and flow separation. Advanced computational fluid dynamics and structure analysis software will be employed with supplementary experimental investigations.