Hu Tingrui, Ji Ying, Fei Fan, Zhu Min, Jin Tianyi, Xue Peng, Zhang Nan
Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.
College of Mechatronical and Electrical Engineering, Hebei Agricultural University, Hebei province, China.
Build Environ. 2022 Jul 1;219:109233. doi: 10.1016/j.buildenv.2022.109233. Epub 2022 May 29.
COVID-19 is a global threat. Non-pharmaceutical interventions were commonly adopted for COVID-19 prevention and control. However, during stable periods of the pandemic, energy would be inevitably wasted if all interventions were implemented. The study aims to reduce the building energy consumption when meet the demands of epidemic prevention and control under the stable period of COVID-19. Based on the improved Wells-Riley model considering dynamic quanta generation and pulmonary ventilation rate, we established the infection risk - equivalent fresh air volume - energy consumption model to analyze the infection risk and building energy consumption during different seasons and optimized the urban building energy consumption according to the spatio-temporal population distribution. Shopping centers and restaurants contributed the most in urban energy consumption, and if they are closed during the pandemic, the total infection risk would be reduced by 25%-40% and 15%-25% respectively and the urban energy consumption would be reduced by 30%-40% and 13%-20% respectively. If people wore masks in all public indoor environments (exclude restaurants and KTV), the infection risk could be reduced by 60%-70% and the energy consumption could be reduced by 20%-60%. Gyms pose the highest risk for COVID-19 transmission. If the energy consumption kept the same with the current value, after the optimization, infection risk in winter, summer and the transition season could be reduced by 65%, 53% and 60%, respectively. After the optimization, under the condition of < 1, the energy consumption in winter, summer, and the transition season could be reduced by 72%, 64%, and 68% respectively.
新冠病毒肺炎（COVID-19）是一种全球威胁。非药物干预措施被普遍用于COVID-19的防控。然而，在疫情稳定期，如果所有干预措施都实施，能源将不可避免地被浪费。本研究旨在在COVID-19稳定期满足疫情防控需求的同时降低建筑能耗。基于考虑动态量子生成和肺通气率的改进韦尔斯-莱利模型，我们建立了感染风险-等效新风量-能耗模型，以分析不同季节的感染风险和建筑能耗，并根据时空人口分布优化城市建筑能耗。购物中心和餐厅在城市能源消耗中贡献最大，如果在疫情期间关闭，总感染风险将分别降低25%-40%和15%-25%，城市能源消耗将分别降低30%-40%和13%-20%。如果人们在所有公共室内环境（不包括餐厅和KTV）中佩戴口罩，感染风险可降低60%-70%，能耗可降低20%-60%。健身房是COVID-19传播风险最高的场所。如果能耗保持与当前值相同，优化后，冬季、夏季和过渡季节的感染风险可分别降低65%、53%和60%。优化后，在<1的条件下，冬季、夏季和过渡季节的能耗可分别降低72%、64%和68%。
