![]() ![]() LES over RANS in building simulation for outdoor and indoor applications: A foregone conclusion? Building Simulation, 11: 821–870.Ĭhen L, Hang J, Sandberg M, et al. Computational Fluid Dynamics for urban physics: Importance, scales, possibilities, limitations and ten tips and tricks towards accurate and reliable simulations. Progress in wind environment and outdoor air ventilation at pedestrian level in urban area. An appropriate algorithm for a project may be chosen based on the requirements of the project.Ībd Razak A, Hagishima A, Awang Sa ZA, et al. The calculation accuracy and speed of the SLPISO model are in between those of the IFFD, FFD and PIMPLE models. The calculation speeds of the FFD, SLPISO, and IFFD models are 6.3, 3 and 13.3 times faster than the PIMPLE model, respectively. The PIMPLE algorithm has the highest accuracy, but with the slowest calculation speed. It is found that IFFD and FFD have the fastest calculation speeds, but also have the largest discrepancies with test data. The results of the simulations are compared with wind tunnel tests. The effects of calculation parameters, including grid resolution, discrete-time step, and calculation time for these methods are analyzed. Considering both accuracy and efficiency, this study compared the performances of the conventional algorithm PIMPLE, fast fluid dynamics (FFD), semi-Lagrangian PISO (SLPISO), and implicit fast fluid dynamics (IFFD) in OpenFOAM for simulating wind flow around buildings. Computational fluid dynamics (CFD) methods are being increasingly used for predicting airflow fields around buildings, but personal computers can still take tens of hours to create a single design using traditional computing models.
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