HVAC systems are the largest energy consumers in a building and a clean HVAC system can get about 11% in energy saving. Moreover, particulate pollution represents one of the main causes of cancer death and several health damages. This paper presents an innovative and not invasive procedure for the automatic indoor air quality assessment that depends on HVAC cleaning conditions. It is based on a mathematical algorithm that processes a few on-site physical measurements that are acquired by dedicated sensors at suitable locations with a specif-ic time table. The output of the algorithm is a set of indexes that provide a snapshot of the sys-tem with separated zoom on filters and ducts. The proposed methodology contributes to opti-mize both HVAC maintenance procedures and air quality preservation. Robustness, portability and low implementation costs allow to plan maintenance intervention, limiting it only when standard HVAC working conditions need to be restored.

Non invasive indoor air quality control through HVAC systems cleaning state / Basile, M. C.; Bruni, Vittoria; Buccolini, F.; DE CANDITIIS, Daniela; Tagliaferri, S.; Vitulano, D.. - STAMPA. - (2016). (Intervento presentato al convegno Sustainable housing 2016 tenutosi a Portugal nel November 2016).

Non invasive indoor air quality control through HVAC systems cleaning state

BRUNI, VITTORIA;DE CANDITIIS, DANIELA;Vitulano, D.
2016

Abstract

HVAC systems are the largest energy consumers in a building and a clean HVAC system can get about 11% in energy saving. Moreover, particulate pollution represents one of the main causes of cancer death and several health damages. This paper presents an innovative and not invasive procedure for the automatic indoor air quality assessment that depends on HVAC cleaning conditions. It is based on a mathematical algorithm that processes a few on-site physical measurements that are acquired by dedicated sensors at suitable locations with a specif-ic time table. The output of the algorithm is a set of indexes that provide a snapshot of the sys-tem with separated zoom on filters and ducts. The proposed methodology contributes to opti-mize both HVAC maintenance procedures and air quality preservation. Robustness, portability and low implementation costs allow to plan maintenance intervention, limiting it only when standard HVAC working conditions need to be restored.
2016
Sustainable housing 2016
HVAC; data regularization and prediction; indoor air quality
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Non invasive indoor air quality control through HVAC systems cleaning state / Basile, M. C.; Bruni, Vittoria; Buccolini, F.; DE CANDITIIS, Daniela; Tagliaferri, S.; Vitulano, D.. - STAMPA. - (2016). (Intervento presentato al convegno Sustainable housing 2016 tenutosi a Portugal nel November 2016).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/924493
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