The modelling of the wind resource over arbitrary topography is required to optimize the micrositing of wind turbines. Most solvers use classical body-fitted grid for simulations. In such an approach, to cover the wind rose using a rectangular domain, a dedicated mesh must be generated for each direction. Moreover, over complex terrain, additional numerical errors are introduced in the solver due to coordinate transformations. To overcome these challenges and to facilitate the grid generation process, an immersed boundary method is developed in connection with a RANS solver in order to simulate turbulent atmospheric flows over arbitrary topography. In this method, a Cartesian grid is used and the boundary condition on the terrain surface is...
The application of reduced order models for the estimations of local atmospheric flows in presence o...
The application of reduced order models for the estimations of local atmospheric flows in presence o...
This PhD thesis describes the implementation of a Reynolds Stress Model in the RANS microscale solve...
Mesoscale models, such as the Weather Research and Forecasting (WRF) model, are increasingly used fo...
Modeling the effect of complex terrain on high Reynolds number flows is important to improve our und...
This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published arti...
The aim of this project is to show the capabilities of a RANS based numerical model in accurately an...
Numerical simulation of flow over complex geometry needs accurate and efficient computational method...
Simulation of local atmospheric flows around complex topography is important for several application...
Accurately simulating flow over complex terrain has long been a challenging scientific problem.As co...
Accurately simulating flow over complex terrain has long been a challenging scientific problem.As co...
We present an immersed-boundary method to simulate high-Reynolds-number turbulent flow over the comp...
We present an immersed-boundary method to simulate high-Reynolds-number turbulent flow over the comp...
We present an immersed-boundary method to simulate high-Reynolds-number turbulent flow over the comp...
The turbulent flow above complex and generic terrain has been investigated in a wind tunnel. The obj...
The application of reduced order models for the estimations of local atmospheric flows in presence o...
The application of reduced order models for the estimations of local atmospheric flows in presence o...
This PhD thesis describes the implementation of a Reynolds Stress Model in the RANS microscale solve...
Mesoscale models, such as the Weather Research and Forecasting (WRF) model, are increasingly used fo...
Modeling the effect of complex terrain on high Reynolds number flows is important to improve our und...
This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published arti...
The aim of this project is to show the capabilities of a RANS based numerical model in accurately an...
Numerical simulation of flow over complex geometry needs accurate and efficient computational method...
Simulation of local atmospheric flows around complex topography is important for several application...
Accurately simulating flow over complex terrain has long been a challenging scientific problem.As co...
Accurately simulating flow over complex terrain has long been a challenging scientific problem.As co...
We present an immersed-boundary method to simulate high-Reynolds-number turbulent flow over the comp...
We present an immersed-boundary method to simulate high-Reynolds-number turbulent flow over the comp...
We present an immersed-boundary method to simulate high-Reynolds-number turbulent flow over the comp...
The turbulent flow above complex and generic terrain has been investigated in a wind tunnel. The obj...
The application of reduced order models for the estimations of local atmospheric flows in presence o...
The application of reduced order models for the estimations of local atmospheric flows in presence o...
This PhD thesis describes the implementation of a Reynolds Stress Model in the RANS microscale solve...