基于适当正交分解的地层通风送风参数优化。

IF 11.7 1区 工程技术 Q1 Engineering Sustainable Cities and Society Pub Date : 2021-12-01 DOI:10.1016/j.scs.2021.103291
Yang Liu, Wuxuan Pan, Zhengwei Long
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引用次数: 14

摘要

在当前新冠肺炎疫情条件下,地层通风可将处理后的新鲜空气直接输送到人体呼吸区,改善吸入空气质量。然而,在地层通风送风参数的设计中,传统的试错法和实验法效率低、耗时长,无法从大量参数中识别出最优送风参数。因此,本文将基于适当正交分解(POD)的反设计方法应用于地层通风房间的通风参数设计。以预测平均投票数(PMV)、预测不满意率(PPD)和人体呼吸区液滴核浓度为设计目标,优化送风参数。通过降低呼吸区飞沫核浓度,控制了COVID-19的传播。结果表明,与试错法相比,基于POD的反设计方法的速度提高了90%以上。POD法可以极大地扩大样本量。考虑到呼出液滴核在室内的弥散性,适当的地层通风参数可使细液滴核浓度较传统设计参数降低20%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Optimization of air supply parameters for stratum ventilation based on proper orthogonal decomposition.

Under the current COVID-19 epidemic conditions, stratum ventilation can provide treated fresh air directly into the human breathing zone, improving the air quality for inhalation. However, in the design of air supply parameters for stratum ventilation, the traditional trial-and-error and experimental methods are inefficient and time consuming, and they cannot be used to identify the optimal air supply parameters from a large number of parameters. Therefore, in this paper, the inverse design method based on proper orthogonal decomposition (POD) was applied to the design of ventilation parameters for a room with stratum ventilation. Predicted mean vote (PMV), predicted percentage dissatisfied (PPD) and droplet nuclei concentration in the human breathing zone were selected as design objectives to optimize air supply parameters. The transmission of COVID-19 was controlled by reducing the concentration of droplet nuclei in the respiratory area. The results show that, compared with the trial-and-error method, the inverse design method based on POD is more than 90% faster. POD method can greatly expand the sample size. Considering the dispersion of exhaled droplet nuclei in the room, the appropriate stratum ventilation parameters can reduce the concentration of fine droplet nuclei by more than 20% compared with the traditional design parameters.

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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society CONSTRUCTION & BUILDING TECHNOLOGYGREEN &-GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
CiteScore
18.40
自引率
13.70%
发文量
810
期刊介绍: Sustainable Cities and Society (SCS) is an international journal focusing on fundamental and applied research aimed at designing, understanding, and promoting environmentally sustainable and socially resilient cities.
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