RII Track-4: Event Based Approach to Model Indoor Airflow Patterns

RII Track-4：基于事件的室内气流模式建模方法

• 批准号: 1832971
• 负责人: Ehsan Mousavi
• 金额: $ 16.26万
• 依托单位: Clemson University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1832971&HistoricalAwards=false
• 关键词: RII; Track; Event; Based; Approach

Nontechnical DescriptionIndoor air quality (IAQ) is a major environmental health issue, as we spend up to 90% of our time indoors. Experimental assessment of IAQ is not always feasible and is very expensive. As a result, engineers and building scientists employ computer simulations to model the movement of indoor air and contaminants. These simulations, however, are severely limited by their computational intensity. This fellowship will enable the PI to develop a new approximation methodology for modeling indoor air patterns. This approach is called Event Based Modeling (EBM). The PI will collaborate with colleagues at the University of California, Berkeley (UC Berkeley) to develop and validate the EBM approach in the Building Science Lab at UC Berkeley, which is among the largest university laboratories in the world. A successful development of EBM will result in method to optimize building energy consumption while improving air quality. Providing clean air in hospitals is crucial as pathogens can be transported through air, leading to healthcare associated infection (HAI). In the United States, HAIs cost between $35- $45 billion and claim 90,000 lives each year. EBM will be a new tool for designing hospitals that are safe and efficient. This research will support dissemination of this new knowledge in the classroom, where the future generation of designers is educated.Technical DescriptionThe goal of this project is to develop a new and innovative methodology called the event-based modeling (EBM) approach to simulate airflow patterns for realistic human-environment interactions. EBM can provide a path to simulate complex, random human-environment interactions that are pragmatically impossible to solve using current approaches. The PI will investigate the validity, characterize a range of applicability, and determine the practical limitations of EBM. The fellowship will take place in the Center for the Built Environment (CBE) at the University of California, Berkeley in collaboration with internationally recognized building scientists. The fellowship will provide an opportunity for the PI to conduct experiments in an environmental chamber that allows control over the levels of temperature, humidity, and ventilation. This project will advance the knowledge of indoor air modeling by: (1) developing a new approximation approach (i.e., EBM) to air movement in the indoor environment; (2) testing the accuracy and validity of the approach; and (3) characterizing circumstances under which this approach may be utilized. This work has the potential to transform the future of research on transient indoor airflow patterns. An accurate assessment of indoor air quality improves our quality of life. EBM will transform the current approach to building ventilation design by enabling just enough air to be conditioned and distributed to where it is needed, thus saving energy. A promising application of the proposed work is in hospitals where controlling airborne disease transmission is critical. Using the event-based modeling approach, smart air control systems could be designed to improve healthcare outcomes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

室内空气质量（IAQ）是一个主要的环境健康问题，因为我们90%的时间都在室内度过。室内空气品质的实验评估并不总是可行的，而且非常昂贵。因此，工程师和建筑科学家采用计算机模拟来模拟室内空气和污染物的运动。然而，这些模拟受到其计算强度的严重限制。该奖学金将使PI开发一种新的近似方法来模拟室内空气模式。这种方法被称为基于事件的建模（EBM）。PI将与加州大学伯克利分校（UC Berkeley）的同事合作，在UC Berkeley的建筑科学实验室（世界上最大的大学实验室之一）开发和验证EBM方法。EBM的成功发展将导致方法，以优化建筑能耗，同时改善空气质量。在医院提供清洁空气至关重要，因为病原体可以通过空气传播，导致医疗相关感染（HAI）。在美国，HAI的成本在350亿至450亿美元之间，每年夺去9万人的生命。循证医学将成为设计安全高效医院的新工具。这项研究将支持传播这一新的知识在课堂上，在未来一代的设计师是educated.Technical DescriptionThe的目标，这个项目是开发一种新的和创新的方法称为基于事件的建模（EBM）的方法来模拟气流模式，为现实的人与环境的相互作用。循证医学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，这些相互作用实际上是不可能使用当前的方法来解决的。PI将调查有效性，描述一系列适用性，并确定EBM的实际局限性。该奖学金将在加州大学伯克利分校的建筑环境中心（CBE）与国际公认的建筑科学家合作进行。该奖学金将为PI提供一个在环境室中进行实验的机会，该环境室允许控制温度，湿度和通风水平。该项目将通过以下方式推进室内空气建模的知识：（1）开发一种新的近似方法（即，EBM）在室内环境中的空气运动;（2）测试的准确性和有效性的方法;和（3）表征的情况下，这种方法可以使用。这项工作有可能改变未来的瞬态室内气流模式的研究。对室内空气质量的准确评估可以提高我们的生活质量。EBM将改变目前的建筑通风设计方法，使足够的空气被调节并分配到需要的地方，从而节省能源。一个有希望的应用所提出的工作是在医院控制空气传播疾病的传播是至关重要的。使用基于事件的建模方法，可以设计智能空气控制系统来改善医疗保健结果。该奖项反映了NSF的法定使命，并且通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

The effect of door opening on air-mixing in a positively pressurized room: Implications for operating room air management during the COVID outbreak

• DOI: 10.1016/j.jobe.2021.102900
• 发表时间: 2021-06-19
• 期刊: Journal of Building Engineering
• 影响因子: 6.4
• 作者: Bhattacharya A;Ghahramani A;Mousavi E
• 通讯作者: Mousavi E

Analysis of the Effects of a Swing Door Opening on Indoor Airflow Fields - An Experimental Study

平开门对室内气流场影响的分析——实验研究

• 发表时间: 2021
• 期刊: Environmental technology
• 影响因子: 2.8
• 作者: Arup Bhattacharya, Ehsan Mousavi

Event based approach for modeling indoor airflow patterns

• DOI: 10.1016/j.jobe.2022.104244
• 发表时间: 2022-03
• 期刊: Journal of Building Engineering
• 影响因子: 6.4
• 作者: E. Mousavi;Arup Bhattacharya

The Effect of Boundary Conditions on Transient Airflow Patterns: A Numerical Investigation of Door Operation.

边界条件对瞬态气流模式的影响：门操作的数值研究。

• 发表时间: 2020
• 期刊: ASHRAE transactions
• 作者: Bhattacharya, Arup;Mousavi, Ehsan
• 通讯作者: Mousavi, Ehsan