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EnglishIndoor Air Quality (IAQ) issues have a direct impact on the health and comfort of building occupants. In this paper, an experimental low-cost system has been developed to address IAQ issues by using a distributed internet of things platform to control and monitor the indoor environment in building spaces while adopting a data-driven approach. The system is based on several real-time sensor data to model the indoor air quality and accurately control the ventilation system through algorithms to maintain a comfortable level of IAQ by balancing indoor and outdoor pollutant concentrations using the Indoor Air Quality Index approach. This paper describes hardware and softwaredetailsofthesystemaswellasthealgorithms,models,andcontrolstrategiesoftheproposed solutionwhichcanbeintegratedindetachedventilationsystems. Furthermore,amobileapphasbeen developed to inform, in real time, different-expertise-user profiles showing indoor and outdoor IAQ conditions. The system is implemented in a small prototype box and early-validated with different test cases considering various pollutant concentrations, reaching a Technology Readiness Level (TRL) of 3–4.
Multisensor IoT platform for optimising IAQ levels in buildings through a smart ventilation system / Chiesa, G.; CESARI, SILVIA; Garcia, M.; Issa, M.; LI, SHUYANG. - In: SUSTAINABILITY. - ISSN 2071-1050. - ELETTRONICO. - 11:5777(2019), pp. 1-28.
| Titolo: | Multisensor IoT platform for optimising IAQ levels in buildings through a smart ventilation system |
| Autori: | |
| Data di pubblicazione: | 2019 |
| Rivista: | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.3390/su11205777 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| sustainability-11-05777_optSmall.pdf | paper | 2a Post-print versione editoriale / Version of Record |  | Visibile a tuttiVisualizza/Apri |
http://hdl.handle.net/11583/2776897
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