ArticleBuilding and environment2021
The effect of occupant distribution on energy consumption and COVID-19 infection in buildings: A case study of university building.
Article in Building and environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A review of strategies and their effectiveness in reducing indoor airborne transmission and improving indoor air quality.Environmental research · 2022Pooled it
- Article
- New ventilation design criteria for energy sustainability and indoor air quality in a post Covid-19 scenario.Renewable & sustainable energy reviews · 2023Article
- Energy efficient ventilation and indoor air quality in the context of COVID-19 - A systematic review.Renewable & sustainable energy reviews · 2023Review
- A review on indoor airborne transmission of COVID-19- modelling and mitigation approaches.Journal of building engineering · 2023Review
- Influences of obstacle factors on the transmission trends of respiratory infectious diseases in indoor public places.Journal of building engineering · 2023Article
- PANDEMIC: Occupancy driven predictive ventilation control to minimize energy consumption and infection risk.Applied energy · 2023Article
- Impact of the COVID-19 on electricity consumption of open university campus buildings - The case of Twente University in the Netherlands.Energy and buildings · 2023Article
- Integrated system of exhaust air heat pump and advanced air distribution for energy-efficient provision of outdoor air.Applied thermal engineering · 2022Article
- Review and outlook of global energy use under the impact of COVID-19.Engineering reports : open access · 2022Review
- Energy, economic, and environmental impacts of enhanced ventilation strategies on railway coaches to reduce Covid-19 contagion risks.Energy (Oxford, England) · 2022Article
- A review of facilities management interventions to mitigate respiratory infections in existing buildings.Building and environment · 2022Article
- Lockdown impact on energy consumption in university building.Environment, development and sustainability · 2022Article
- How residential energy consumption has changed due to COVID-19 pandemic? An agent-based model.Sustainable cities and society · 2022Article
- SARS-CoV-2 Omicron (B.1.1.529) Variant: No Time to Wait!Acta bio-medica : Atenei Parmensis · 2022Article
- Metabolism-based ventilation monitoring and control method for COVID-19 risk mitigation in gymnasiums and alike places.Sustainable cities and society · 2022Article
- Impact analysis of COVID-19 pandemic on the future green power sector: A case study in the Netherlands.Renewable energy · 2022Article
- Investigation on household energy consumption of urban residential buildings in major cities of Indonesia during COVID-19 pandemic.Energy and buildings · 2022Article
- Assessing the impact of the COVID-19 lockdown on the energy consumption of university buildings.Energy and buildings · 2022Article
- Nationwide assessment of energy costs and policies to limit airborne infection risks in U.S. schools.Journal of building engineering · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The occupant density in buildings is one of the major and overlooked parameters affecting the energy consumption and virus transmission risk in buildings. HVAC systems energy consumption is highly dependent on the number of occupants. Studies on the transmission of COVID-19 virus have indicated a direct relationship between occupant density and COVID-19 infection risk. This study aims to seek the optimum occupant distribution patterns that account for the lowest number of infected people and minimum energy consumption. A university building located in Tehran has been chosen as a case study, due to its flexibility in performing various occupant distribution patterns. This multi-objective optimization problem, with the objective functions of energy consumption and COVID-19 infected people, is solved by NSGA-II algorithm. Energy consumption is evaluated by EnergyPlus, then it is supplied to the algorithm through a co-simulation communication between EnergyPlus and MATLAB. Results of this optimization algorithm for 5 consequent winter and summer days, represent optimum occupant distribution patterns, associated with minimum energy consumption and COVID-19 infected people for winter and summer. Building air exchange rate, class duration, and working hours of the university, as the COVID-19 controlling approaches were studied, and promising results have been obtained. It was concluded that an optimal population distribution can reduce the number of infected people by up to 56% and energy consumption by 32%. Furthermore, it was concluded that virtual learning is an excellent approach in universities to control the number of infections and energy consumption.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.