Abstract
It is important to develop a reliable and high-throughput simulation method for predicting airflows in the installation planning phase of windmill power plants. This study proposes a two-stage mesh generation approach to reduce the meshing cost and introduces a hybrid parallelization scheme for atmospheric fluid simulations. The meshing approach splits mesh generation into two stages: in the first stage, the meshing parameters that uniquely determine the mesh distribution are extracted, and in the second stage, a mesh system is generated in parallel via an in situ approach using the parameters obtained in the initialization phase of the simulation. The proposed two-stage approach is flexible since an arbitrary number of processes can be selected at run time. An efficient OpenMP-MPI hybrid parallelization scheme using a middleware that provides a framework of parallel codes based on the domain decomposition method is also developed. The preliminary results of the meshing and computing performance show excellent scalability in the strong scaling test.
Highlights
Power generation using natural energy sources has gradually replaced that from traditional thermal and atomic power sources due to concerns regarding the environment and resource sustainability
E present study proposes a two-stage mesh generation approach that greatly reduces the meshing cost and introduces a hybrid parallelization scheme for atmospheric fluid simulation. e meshing approach splits mesh generation into two stages: in the first stage, the parameters that uniquely determine the mesh distribution are extracted, and in the second stage, a mesh system is generated in parallel via an in situ approach based on the parameters obtained in the initialization phase of the simulation
Large-scale mesh generation, the present study proposes a scalable, in situ two-stage meshing approach that can avoid time-consuming file access [3]. is approach splits mesh generation into two stages: in the first stage, the parameters that uniquely determine the mesh distribution are extracted using a graphical user interfaces (GUIs) application, and in the second stage, a mesh system is generated in parallel using the parameters obtained in the initialization phase of the simulation
Summary
Power generation using natural energy sources has gradually replaced that from traditional thermal and atomic power sources due to concerns regarding the environment and resource sustainability. It is important to develop a method for predicting detailed wind conditions utilizing data from observations and simulations. Many factors affect prediction results, and numerous calculations with high-resolution meshes are usually required to obtain reliable results of wind flow over complex terrains. Reliable prediction of wind power generation requires taking into account various factors, including wind direction, turbulence, land features, atmospheric stratification, and periodicity. A simulation of wind conditions requires at least a 10-min time integration, which is very computationally intensive. The cost of mesh generation is one of the main issues in computational fluid dynamics (CFD) because meshing is extremely demanding and time-consuming for operators and sometimes requires user skill. E present study proposes a two-stage mesh generation approach that greatly reduces the meshing cost and introduces a hybrid parallelization scheme for atmospheric fluid simulation. Modelling and Simulation in Engineering provides a framework of parallelism based on the domain decomposition method is developed. e preliminary results of the meshing and computing performance show excellent scalability
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