A ventilation early warning system (VEWS) for diaphanous workspaces considering COVID-19 and future pandemics scenarios
The COVID-19 pandemic has generated new needs due to the associated health risks and, more specifically, its rapid infection rate. Prevention measures to avoid contagions in indoor spaces, especially in office and public buildings (e.g., hospitals, public administration, educational centres, etc.),...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023018479 |
| _version_ | 1797851744098582528 |
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| author | Gonçal Costa Oriol Arroyo Pablo Rueda Alan Briones |
| author_facet | Gonçal Costa Oriol Arroyo Pablo Rueda Alan Briones |
| author_sort | Gonçal Costa |
| collection | DOAJ |
| description | The COVID-19 pandemic has generated new needs due to the associated health risks and, more specifically, its rapid infection rate. Prevention measures to avoid contagions in indoor spaces, especially in office and public buildings (e.g., hospitals, public administration, educational centres, etc.), have led to the need for adequate ventilation to dilute the possible concentration of the virus. This article presents our contribution to this new challenge, namely the Ventilation Early Warning System (VEWS) which has aims to adapt the operation of the current Heating, Ventilating and Air Conditioning (HVAC) systems to the ventilation needs of diaphanous workspaces, based on a Smart Campus Digital Twin (SCDT) framework approach, while maintaining sustainability. Different technologies such as the Internet of Things (IoT), Building Information Modelling (BIM) and Artificial Intelligence (AI) algorithms are combined to collect and integrate monitoring data (historical records, real-time information, and location-related patterns) to carry out forecasting simulations in this digital twin. The generated outputs serve to assist facility managers in their building governance, considering the appropriate application of health measures to reduce the risk of coronavirus contagion in combination with sustainability criteria. The article also provides the results of the implementation of the VEWS in a university workspace as a case study. Its application has made it possible to detect and warn of inadequate ventilation situations for the daily flow of people in the different controlled zones. |
| first_indexed | 2024-04-09T19:22:47Z |
| format | Article |
| id | doaj.art-d4f6727322444a55ac6a319a056ffbb8 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-09T19:22:47Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-d4f6727322444a55ac6a319a056ffbb82023-04-05T08:27:33ZengElsevierHeliyon2405-84402023-03-0193e14640A ventilation early warning system (VEWS) for diaphanous workspaces considering COVID-19 and future pandemics scenariosGonçal Costa0Oriol Arroyo1Pablo Rueda2Alan Briones3Human Environment Research (HER), La Salle, Ramon Llull University, Barcelona, Spain; Corresponding author.Noumena, 08019, Barcelona, SpainCT Solutions Group, 08018, Barcelona, SpainResearch Group on Smart Society, La Salle, Ramon Llull University, Barcelona, Spain; Corresponding author.The COVID-19 pandemic has generated new needs due to the associated health risks and, more specifically, its rapid infection rate. Prevention measures to avoid contagions in indoor spaces, especially in office and public buildings (e.g., hospitals, public administration, educational centres, etc.), have led to the need for adequate ventilation to dilute the possible concentration of the virus. This article presents our contribution to this new challenge, namely the Ventilation Early Warning System (VEWS) which has aims to adapt the operation of the current Heating, Ventilating and Air Conditioning (HVAC) systems to the ventilation needs of diaphanous workspaces, based on a Smart Campus Digital Twin (SCDT) framework approach, while maintaining sustainability. Different technologies such as the Internet of Things (IoT), Building Information Modelling (BIM) and Artificial Intelligence (AI) algorithms are combined to collect and integrate monitoring data (historical records, real-time information, and location-related patterns) to carry out forecasting simulations in this digital twin. The generated outputs serve to assist facility managers in their building governance, considering the appropriate application of health measures to reduce the risk of coronavirus contagion in combination with sustainability criteria. The article also provides the results of the implementation of the VEWS in a university workspace as a case study. Its application has made it possible to detect and warn of inadequate ventilation situations for the daily flow of people in the different controlled zones.http://www.sciencedirect.com/science/article/pii/S2405844023018479Smart buildingBuilding digital twinCOVID-19IoTSimulationBIM |
| spellingShingle | Gonçal Costa Oriol Arroyo Pablo Rueda Alan Briones A ventilation early warning system (VEWS) for diaphanous workspaces considering COVID-19 and future pandemics scenarios Heliyon Smart building Building digital twin COVID-19 IoT Simulation BIM |
| title | A ventilation early warning system (VEWS) for diaphanous workspaces considering COVID-19 and future pandemics scenarios |
| title_full | A ventilation early warning system (VEWS) for diaphanous workspaces considering COVID-19 and future pandemics scenarios |
| title_fullStr | A ventilation early warning system (VEWS) for diaphanous workspaces considering COVID-19 and future pandemics scenarios |
| title_full_unstemmed | A ventilation early warning system (VEWS) for diaphanous workspaces considering COVID-19 and future pandemics scenarios |
| title_short | A ventilation early warning system (VEWS) for diaphanous workspaces considering COVID-19 and future pandemics scenarios |
| title_sort | ventilation early warning system vews for diaphanous workspaces considering covid 19 and future pandemics scenarios |
| topic | Smart building Building digital twin COVID-19 IoT Simulation BIM |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023018479 |
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