Event based approach for modeling indoor airflow patterns
Event based approach for modeling indoor airflow patterns
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DOI：
10.1016/j.jobe.2022.104244
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发表时间：
2022-03
影响因子：
6.4
通讯作者：
E. Mousavi;Arup Bhattacharya
中科院分区：
文献类型：
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作者：
E. Mousavi;Arup Bhattacharya
人们大部分时间都在室内度过，室内空气质量影响着工作效率、生产力和居住者的健康。建筑施工中最古老的挑战之一是设计通风系统，以确保最佳的室内空气质量。可接受的室内空气应提供热舒适性，并尽量减少人体暴露于污染。表征这两个元素需要关于微环境中的热/质传递和在这些微环境中移动的个体的时间特异性活动的信息。虽然研究人员已经利用模拟工具来研究这种复杂的人与环境的相互作用，但目前的数值技术严重限制了模拟过于简化，不切实际的场景。为了解决这些问题，本文提出了一种新的和创新的方法，称为基于事件的建模（EBM）来模拟现实的人与环境的相互作用的气流模式。EBM可以提供一个精确的近似来模拟室内环境中的空气运动模式。循证医学还可以提供一种途径来模拟复杂的，随机的人与环境的相互作用，这是目前的方法实际上不可能解决的。本文制定和评估这种新的方法，然后验证它通过简单的情况下，开门和人走。
People spend a significant proportion of their time indoors, where the quality of indoor air affects the productivity, efficiency, and well-being of occupants. One of the oldest challenges in building construction is designing a ventilation system that ensures optimum indoor air quality. Acceptable indoor air should provide thermal comfort and minimize human exposure to contamination. Characterizing these two elements requires information on both heat/mass transfer in the microenvironment and the time-specific activity of individuals who move among these microenvironments. While researchers have utilized simulation tools to investigate this complex human-environment interaction, current numerical techniques severely limit the simulations to overly simplified, unrealistic scenarios. To address these issues, this paper proposes a new and innovative approach called event-based modeling (EBM) to simulate airflow patterns for realistic human-environment interactions. EBM can provide an accurate approximation to simulate the patterns of air movement in indoor environments. EBM can also provide a path to simulate complex, random human-environment interactions that are pragmatically impossible to solve by current approaches. This paper formulates and evaluates this novel approach, and then validates it via simple cases of a door opening and human walking.