One of today’s greatest problems is the quality of the air we breathe, both outdoors and indoors, and especially in high occupancy public and commercial buildings. According to WHO and the Global Health Observatory, approximately 7 million people die each year from exposure to poor air quality conditions.
At the same time, there is a significant lack of infrastructure and active solutions for the monitoring of indoor environment and the generation of actionable insights in terms of impact on occupants’ health.
The mortality rate of COVID-19 could have been far lower, and the annual welfare losses (~€600 billion) across EU countries could have been significantly reduced if measures were already in place for the monitoring and control of the IAQ conditions. Such measures would have achieved a low transmissibility level of the virus in high occupancy, high risk indoor spaces.
To tackle this problem, it is essential to implement a multidisciplinary approach that combines the areas of exposure science, environmental monitoring, machine-learning based monitoring and event diagnosis, ICT and real domain challenges.
The SIEQUA-CERT project aims to effectively combine the partners’ IP, infrastructure, knowledge and expertise and design a framework consisting of intelligent exposome analytics, leading to the deployment of a Web-based actionable Decision Support System (DSS), that combines real-time monitoring of IEQ and a quantifiable impact metric on occupants’ health. In addition, virus survivability and transmissibility risks for high occupancy indoor environments will be estimated and visualized. Finally, energy efficiency will be also considered in terms of IEQ and its impact on occupants.
The outputs can first be used by large high occupancy building owners/operators for identifying problems and secondly for any corrective actions supported by the DSS.
In addition, customers, policy makers and other related stakeholders can use the impact metrics either to assess, regulate or categorize indoor spaces based on their health-impact performance, thus increasing the adoption speed towards healthy and green indoor environments.
The project will pilot test and evaluate/validate the business perspective and use-cases of the tool in three types of buildings:
- Four Seasons Hotel
- KPMG: 2 large office buildings, 7 floors, 6000m2
- Cyprus University of Technology, KIOS
This project is co-funded by the Cyprus Research Promotion Foundation / Programme RESTART 2016 – 2020 / I. SMART GROWTH / CO-DEVELOP under Grant Agreement CODEVELOP-ICT-HEALTH/0322/0054