Indoor 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.
|Titolo:||Multisensor IoT platform for optimising IAQ levels in buildings through a smart ventilation system|
|Data di pubblicazione:||2019|
|Digital Object Identifier (DOI):||10.3390/su11205777|
|Appare nelle tipologie:||1.1 Articolo in rivista|