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Literature review on pressure–velocity decoupling algorithms applied to built-environment CFD simulation

计算流体力学 解耦(概率) 算法 建筑CFD 计算机科学 趋同(经济学) 软件 模拟 工程类 控制工程 航空航天工程 经济增长 经济 程序设计语言
作者
Haidong Wang,Hui Wang,Feng Gao,Pengzhi Zhou,Zhiqiang Zhai
出处
期刊:Building and Environment [Elsevier BV]
卷期号:143: 671-678 被引量:52
标识
DOI:10.1016/j.buildenv.2018.07.046
摘要

Abstract For decades, computational fluid dynamics (CFD) has been applied to built-environment related simulations such as those of building ventilation, indoor airflow, and contaminant transportation. The pressure–velocity decoupling algorithm employed in CFD to solve momentum equation(s) exerts significant influence on the convergence speed and computational resource requirement. In order to identify the opportunities to improve CFD performance for built-environment simulation, a review is conducted on the commonly used pressure–velocity decoupling algorithms in indoor environment CFD modeling, with the aim of summarizing the general status and trends of the application and development of the decoupling algorithms. The study categorizes the primary algorithms based on the advantages and disadvantages of each reviewed algorithm and the applications of each analyzed algorithm. The review indicates an explicit prevalence of the usage of the SIMPLE algorithm and its variants in indoor-environment CFD simulation, which is a combined outcome of the superiority of such algorithms and their wide availability in commonly used CFD software. However, each algorithm variant has applicable engineering fields unique to it. The study also identifies that a few less-commonly used algorithms in both research and commercial CFD software, such as the projection algorithm, reveal certain advantages in terms of convergence and accuracy performance. These algorithms exhibit significant potential for transforming the conventional pressure–velocity decoupling algorithm into approaches that can more efficiently solve flow-governing momentum equation(s), specifically for built-environment CFD simulation.

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