Develop and Validate a Reliable Scale Adaptive Simulation Approach for Wind Turbine Technology

• Applicant: Dr.-Ing. Amirfarhang Mehdizadeh
• Subject Area: Fluid Mechanics
• Term: from 2013 to 2015
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 237600408

Turbulence appears almost in all fluid media under a wide range of velocity. This extends from almost stagnant fluids such as those in a large water accumulation-lakes, oceans and atmospheric air at high latitude, to high speed hypersonic flows. In almost all engineering applications turbulent flows are prevalent. Fluid flows in pipes turbines, combustors, human airway and those around airplanes and automobile are typical examples of turbulent flows. Beside its practical usefulness, turbulence presents a tremendously complicated nature. Therefore, despite decades of research, it is still regarded as the most substantial unsolved problem in classical physics. Due to this complexity, computational modeling is currently seen as a vital scientific and engineering tool for understanding and design purposes.The overall goal of the present proposal is to develop and validate an advanced hybrid turbulence model that can be used reliably in the prediction of complex environmental turbulent flows with affordable computation costs. This model resolves mathematical and physical inconsistencies of existing hybrid models and is suitable for the Large Eddy Simulation (LES) approach. The first version of the model concerning wall bounded flows has been developed completely based on Reynolds-averaged- Navier-Stokes (RANS) concepts. Due to the physical contributions, the model is capable to capture the essential dynamics of complex flows and delivers results comparable to the LES. Within this proposal, it is intended first to clarify applicability and improve accuracy of the proposed approach and then to apply the model to complex environmental flows applicable to wind turbine technology.

• DFG Programme: Research Fellowships
• International Connection: USA
• Host: Professor James G. Brasseur, Ph.D.