Ventilation is an important engineering measure to control the airborne infection risk of acute respiratory diseases, e.g., Corona Virus Disease 2019 (COVID-19). Occupancy-aided ventilation methods can effectively improve the airborne infection risk control performance with a sacrifice of decreasing working productivity because of the reduced occupancy. This study evaluates the effectiveness of two occupancy-aided ventilation methods, i.e., the continuously reduced occupancy method and the intermittently reduced occupancy method. The continuously reduced occupancy method is determined by the steady equation of the mass conservation law of the indoor contaminant, and the intermittently reduced occupancy method is determined by a genetic algorithm-based optimization. A two-scenarios-based evaluation framework is developed, i.e., one with targeted airborne infection risk control performance (indicated by the mean rebreathed fraction) and the other with targeted working productivity (indicated by the accumulated occupancy). The results show that the improvement in the airborne infection risk control performance linearly and quadratically increases with the reduction in the working productivity for the continuously reduced occupancy method and the intermittently reduced occupancy method respectively. At a given targeted airborne infection risk control performance, the intermittently reduced occupancy method outperforms the continuously reduced occupancy method by improving the working productivity by up to 92%. At a given targeted working productivity, the intermittently reduced occupancy method outperforms the continuously reduced occupancy method by improving the airborne infection risk control performance by up to 38%. 

/pdf/occupancy-aided-ventilation-for-airborne-infection-risk-tehz1pex.pdf

Occupancy-aided ventilation for airborne infection risk control: Continuously or intermittently reduced occupancies?

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867897

PANDEMIC: Occupancy driven predictive ventilation control to minimize energy consumption and infection risk

New COVID-19 ventilation guidelines have resulted in higher energy consumption to maintain indoor air quality (IAQ), and energy efficiency has become a secondary concern. Despite the significance of the studies conducted on COVID-19 ventilation requirements, a comprehensive investigation of the associated energy challenges has not been discussed. This study aims to present a critical systematic review of the Coronavirus viral spreading risk mitigation through ventilation systems (VS) and its relation to energy use. COVID-19 heating, ventilation and air conditioning (HVAC)-related countermeasures proposed by industry professionals have been reviewed and their influence on operating VS and energy consumption have also been discussed. A critical review analysis was then conducted on publications from 2020 to 2022. Four research questions (RQs) have been selected for this review concerning i) maturity of the existing literature, ii) building types and occupancy profile, iii) ventilation types and effective control strategies and iv) challenges and related causes. The results reveal that employing HVAC auxiliary equipment is mostly effective and increased fresh air supply is the most significant challenge associated with increased energy consumption due to maintaining IAQ. Future studies should focus on novel approaches toward solving the apparently conflicting objectives of minimizing energy consumption and maximizing IAQ. Also, effective ventilation control strategies should be assessed in various buildings with different occupancy densities. The implications of this study can be useful for future development of this topic not only to enhance the energy efficiency of the VS but also to enable more resiliency and health in buildings. 

Energy efficient ventilation and indoor air quality in the context of COVID-19 - A systematic review

https://doi.org/10.1016/j.buildenv.2022.109233

Optimization of COVID-19 prevention and control with low building energy consumption

Post-COVID ventilation design: infection risk-based target ventilation rates and point source ventilation effectiveness

https://doi.org/10.1016/j.enbuild.2022.111954

Optimization of energy efficiency and COVID-19 pandemic control in different indoor environments

COVID-19 continues to threaten the world. Relaxing local travel behaviours on preventing the spread of COVID-19, may increase the infection risk in subsequent waves of SARS-CoV-2 transmission. In this study, we analysed changes in the travel behaviour of different population groups (adult, child, student, elderly) during four pandemic waves in Hong Kong before January 2021, by 4-billion second-by-second smartcard records of subway. A significant continuous relaxation in human travel behaviour was observed during the four waves of SARS-CoV-2 transmission. Residents sharply reduced their local travel by 51.9%, 50.1%, 27.6%, and 20.5% from the first to fourth pandemic waves, respectively. The population flow in residential areas, workplaces, schools, shopping areas, amusement areas and border areas, decreased on average by 30.3%, 33.5%, 41.9%, 58.1%, 85.4% and 99.6%, respectively, during the pandemic weeks. We also found that many other cities around the world experienced a similar relaxation trend in local travel behaviour, by comparing traffic congestion data during the pandemic with data from the same period in 2019. The quantitative pandemic fatigue in local travel behaviour could help governments partially predicting personal protective behaviours, and thus to suggest more accurate interventions during subsequent waves, especially for highly infectious virus variants such as Omicron. 

https://doi.org/10.1016/j.trip.2023.100757

Local travel behaviour under continuing COVID-19 waves– A proxy for pandemic fatigue?

The COVID-19 pandemic threatened the world. As an important transportation hub connecting countries and regions, airports have played a critical role in COVID-19 prevention and control. This study developed an infection risk-human comfort-energy consumption model to calculate the COVID-19 transmission and energy consumption for epidemic prevention and control in seven different functional areas of an airport during different seasons (winter, summer, and transition season) and actual passenger movement. When considering dynamic passenger flow, the energy consumption needed to prevent and control transmission of the epidemic in each area of the airport could be reduced by 71–85%. The waiting, dining, and shopping areas were the areas with the highest energy consumption, accounting for 25–47%, 15–32%, and 11–38% of the total energy consumption of epidemic prevention at the airport, respectively. The dining area had the highest energy consumption per square meter, reaching 14.2 kWh/m2 at its highest. After closing the dining area, energy consumption was reduced by 14–20%. Compared with strict epidemic prevention and control, energy consumption in the airport was reduced by 70–85% considering both optimized intervention and dynamic passenger flow. The results of this study provide a scientific basis for energy-saving and emission reduction in airports under an epidemic situation. 

Infectious diseases prevention and control with reduced energy consumption in an airport

Building energy efficiency and COVID-19 infection risk: Lessons from office room management

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