Sha Hao-Han, Zhang Xin, Qi Da-Hai
Department of Civil and Building Engineering, Université de Sherbrooke, Sherbrooke, J1K 2R1 Canada.
J Cent South Univ. 2022;29(7):2415-2430. doi: 10.1007/s11771-022-5072-z. Epub 2022 Aug 24.
Ventilation is an effective solution for improving indoor air quality and reducing airborne transmission. Buildings need sufficient ventilation to maintain a low infection risk but also need to avoid an excessive ventilation rate, which may lead to high energy consumption. The Wells-Riley (WR) model is widely used to predict infection risk and control the ventilation rate. However, few studies compared the non-steady-state (NSS) and steady-state (SS) WR models that are used for ventilation control. To fill in this research gap, this study investigates the effects of the mechanical ventilation control strategies based on NSS/SS WR models on the required ventilation rates to prevent airborne transmission and related energy consumption. The modified NSS/SS WR models were proposed by considering many parameters that were ignored before, such as the initial quantum concentration. Based on the NSS/SS WR models, two new ventilation control strategies were proposed. A real building in Canada is used as the case study. The results indicate that under a high initial quantum concentration (e.g., 0.3 q/m) and no protective measures, SS WR control underestimates the required ventilation rate. The ventilation energy consumption of NSS control is up to 2.5 times as high as that of the SS control.
通风是改善室内空气质量和减少空气传播的有效解决方案。建筑物需要足够的通风以维持较低的感染风险,但也需要避免通风率过高,这可能导致高能耗。威尔斯-莱利(WR)模型被广泛用于预测感染风险和控制通风率。然而,很少有研究比较用于通风控制的非稳态(NSS)和稳态(SS)WR模型。为了填补这一研究空白,本研究调查了基于NSS/SS WR模型的机械通风控制策略对防止空气传播所需通风率及相关能耗的影响。通过考虑许多之前被忽略的参数,如初始量子浓度,提出了改进的NSS/SS WR模型。基于NSS/SS WR模型,提出了两种新的通风控制策略。以加拿大的一栋真实建筑为例进行研究。结果表明,在高初始量子浓度(如0.3 q/m)且无防护措施的情况下,SS WR控制低估了所需通风率。NSS控制的通风能耗高达SS控制的2.5倍。