CFD simulations of wind flow and mean surface pressure for buildings with balconies: Comparison of RANS and LES

Zheng, Xing; Montazeri, Hamid; Blocken, Bje Bert

doi:10.1016/j.buildenv.2020.106747

Cited by 123 publications

(32 citation statements)

References 88 publications

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“…LES models are generally reliable. A similar setting of a high-rise building with balconies was investigated by Zheng et al [123] with similar comparison results obtained for the RANS and LES models. RANS are conditionally accurate.…”

Section: Les Modelssupporting

confidence: 73%

Improving the Energy Efficiency of Buildings Based on Fluid Dynamics Models: A Critical Review

et al. 2021

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The built environment is the global sector with the greatest energy use and greenhouse gas emissions. As a result, building energy savings can make a major contribution to tackling the current energy and climate change crises. Fluid dynamics models have long supported the understanding and optimization of building energy systems and have been responsible for many important technological breakthroughs. As Covid-19 is continuing to spread around the world, fluid dynamics models are proving to be more essential than ever for exploring airborne transmission of the coronavirus indoors in order to develop energy-efficient and healthy ventilation actions against Covid-19 risks. The purpose of this paper is to review the most important and influential fluid dynamics models that have contributed to improving building energy efficiency. A detailed, yet understandable description of each model’s background, physical setup, and equations is provided. The main ingredients, theoretical interpretations, assumptions, application ranges, and robustness of the models are discussed. Models are reviewed with comprehensive, although not exhaustive, publications in the literature. The review concludes by outlining open questions and future perspectives of simulation models in building energy research.

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Section: Les Modelssupporting

confidence: 73%

Improving the Energy Efficiency of Buildings Based on Fluid Dynamics Models: A Critical Review

et al. 2021

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“…For the stable surface layer, the wind speed profile can also be represented by a logarithmic distribution [30][31][32]:…”

Section: Logarithmic Distributionmentioning

confidence: 99%

Review of Research Advances in CFD Techniques for the Simulation of Urban Wind Environments

Ju¹,

Li²,

Wang³

2022

Fluid Dynamics &Amp; Materials Processing

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Computational fluid dynamics (CFD) has become the main method for the prediction of the properties of the external wind environment in cities and other urban contexts. A review is presented of the existing literature in terms of boundary conditions, building models, computational domains, computational grids, and turbulence models. Some specific issues, such as the accuracy/computational cost ratio and the exploitation of existing empirical correlations, are also examined.

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“…The jet separation point is a point at the top cavity wall, where the wall-shear stress < τ W > is equal to zero, as shown in the equation (6). Other flow parameters are calculated using equations (4) - (5).…”

Section: Data Generationmentioning

confidence: 99%

“…CFD has been successfully used for detailed simulations of building airflows by many researchers [4,5]. Nevertheless, all of these studies show the need for a fine grid, thus, big computational resources.…”

Section: Introductionmentioning

confidence: 99%

Investigating The Capabilities Of CFD-Based Data-Driven Models For Indoor Environmental Design And Control

Morozova¹,

Trias²,

Capdevila³

et al. 2021

14th WCCM-ECCOMAS Congress

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In this work, we study the accuracy of CFD-based data-driven models, which predict comfortrelated flow parameters in a ventilated cavity with a heated floor. We compare the computational cost and accuracy of three different models, namely artificial neural network, support vector regression, and gradient boosting regression. The tested scenarios include short and long cavities with different inlet velocities. Among the studied frameworks, the artificial neural network provides the most accurate predictions for most of the tested flow configurations. However, test configurations with jet separation and a secondary vortex are more difficult to predict correctly; thus more high-fidelity data is required in order to construct a more robust and reliable model.

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CFD simulations of wind flow and mean surface pressure for buildings with balconies: Comparison of RANS and LES

Cited by 123 publications

References 88 publications

Improving the Energy Efficiency of Buildings Based on Fluid Dynamics Models: A Critical Review

Improving the Energy Efficiency of Buildings Based on Fluid Dynamics Models: A Critical Review

Review of Research Advances in CFD Techniques for the Simulation of Urban Wind Environments

Investigating The Capabilities Of CFD-Based Data-Driven Models For Indoor Environmental Design And Control

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