Monitoring airborne transmission inside buildings using MF-BM

使用 MF-BM 监测建筑物内的空气传输

• 批准号: 83715
• 金额: $ 11.68万
• 依托单位: TWIN DYNAMICS LIMITED
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=83715
• 关键词: Monitoring; airborne; transmission; inside; buildings

Public Health England guidance on infection control attributes COVID-19 major transmission modes to respiratory droplets generated though coughing, sneezing and the contact with contaminated surfaces. Heavy droplets can fall out of airstream within a short distance, however relatively light droplets can travel further in air streams. Therefore, a key challenge is mapping droplet spread to identify contaminated surfaces or zones to minimise health and safety risk in building space. COVID-19 has had major impact on the Global Coworking Spaces Market. However, the market is expected to rise post pandemic due to more companies supporting remote working practices in the longer term. Therefore, it becomes imperative to take steps for efficiently managing increasing energy demand and the associated carbon footprint of the facilities hosting coworking spaces whilst supporting it to deliver a healthy and COVID -19 secure workplace. The step would ensure that it does not have a negative impact on the larger decarbonisation agenda.Currently, no market solution offers to track droplet spreading and identify probable contaminated surfaces or zones, instead focussing on effectively managing an HVAC system to maintain fresh supply of airflow with an anticipation of diluting the virus particles inside the building. Some market providers offer AI powered video solutions for automated contact tracing once an active case is detected at the workplace. However, the solution relies heavily on extensive video surveillance and can potentially create privacy issues for the end-user.Twin Dynamics Limited (TD) has developed a Multi-Fidelity Building Model (MF-BM) technology which offers near real-time airflow and thermal insight within the building space and is used to evaluate localised individual occupant thermal comfort and their productivity. This technical data can be used by the Facility Mangers to create a balance between the ventilation inside the building space for optimal thermal comfort and energy cost, which leads to reduce carbon-footprint. MF-BM works by combining real-time pressure, flow rate and temperature sensors' data with high fidelity fluid dynamics simulations, using in-house developed code by TD. However, as airflow within building spaces acts as a respiratory droplet carrier, TD are keen to further develop the technology to predict near real-time droplet spread and its predicted settlement locations within building space.

英格兰公共卫生部的感染控制指南将COVID-19的主要传播模式归因于咳嗽、打喷嚏和接触污染表面产生的呼吸道飞沫。较重的液滴可以在短距离内从气流中落下，然而相对较轻的液滴可以在气流中行进得更远。因此，一个关键的挑战是绘制液滴扩散图，以识别受污染的表面或区域，从而最大限度地降低建筑空间中的健康和安全风险。COVID-19对全球共享办公空间市场产生重大影响。然而，由于更多公司长期支持远程工作实践，预计市场将在疫情后上升。因此，必须采取措施有效管理日益增长的能源需求和托管共享办公空间的设施的相关碳足迹，同时支持其提供健康和COVID-19安全的工作场所。目前，市场上还没有解决方案能够跟踪液滴扩散并识别可能的污染表面或区域，而是专注于有效管理HVAC系统，以保持新鲜的气流供应，并预计稀释建筑物内的病毒颗粒。一些市场提供商提供人工智能驱动的视频解决方案，一旦在工作场所检测到活跃的病例，就可以自动跟踪接触者。Twin Dynamics Limited（TD）开发了一种多保真度建筑模型（MF-BM）技术，可提供建筑空间内近实时的气流和热量洞察，并用于评估局部化的个人居住者热舒适度和他们的生产力。设施管理人员可以使用这些技术数据在建筑空间内的通风之间建立平衡，以实现最佳的热舒适度和能源成本，从而减少碳足迹。MF-BM的工作原理是使用TD内部开发的代码将实时压力、流量和温度传感器的数据与高保真流体动力学模拟相结合。然而，由于建筑物空间内的气流充当呼吸液滴载体，TD热衷于进一步开发技术，以预测近实时的液滴扩散及其在建筑物空间内的预测沉降位置。