The thesis aims to analyse the indoor environmental quality (IEQ) mostly, but not only, in terms of thermal comfort and CO2 concentration in 18 apartments of a multi-family residential building located in Milan, Italy. To substantially reduce the building's energy requirements, in the meantime, providing adequate thermal comfort for occupants, retrofit interventions for the building were designed and carried out during the data monitoring campaign, in the context of a research project called Sharing Cities. The thesis analysed the indoor environmental data monitored, from June 2018 to February 2022, by sensor packages installed in 18 apartments of the case-study and the outdoor weather data collected by two weather stations installed respectively about 3 km and 7 km far from the site. Two models for thermal comfort assessment were implemented in the study: Adaptive comfort model and Fanger’s comfort model for cooling season and heating season correspondingly according to EN 16798-1:2019. Even if the datasets are incomplete and there are various degrees of voids in the raw data registered by the sensors, the study showed strong correlations between the thermal comfort performance improvements and the retrofits carried out. Specifically, after the retrofit works, the thermal performance was improved, in terms of the percentage of cases where the thermally comfortable conditions were satisfied, by 11.4% regarding the comfort category II and 8.4% regarding the category III in the case-study building. However, the indoor air quality (IAQ) of the building was adversely affected by the improvement in airtightness due to the renovation, as cases with CO2 concentrations below 1200 ppm decreased by 3.2% after the renovation.
La tesi mira ad analizzare la qualità ambientale, in termini di comfort termico e concentrazione di CO2, in 18 appartamenti di un edificio residenziale pubblico situato a Milano. Al fine di ridurre il fabbisogno di energia dell’edificio, e assicurare al contempo un adeguato livello di comfort termico per gli occupanti, nell'ambito di un progetto di ricerca denominato Sharing Cities, è stato progettato e realizzato un intervento di riqualificazione dell’edificio. L’intervento ha previsto altresì una campagna sperimentale di monitoraggio dei dati energetici ed ambientali pre- e post-riqualificazione, al fine di verificarne gli effettivi benefici. La tesi presenta i risultati dell’analisi dei dati ambientali interni monitorati attraverso 18 sensori installati in differenti appartamenti dell’edificio, da giugno 2018 a febbraio 2022, e i dati meteorologici esterni raccolti da due stazioni meteo installate rispettivamente a circa 3 km e 7 km dal sito. Per la valutazione del comfort termico all’interno degli appartamenti sono stati implementati due modelli di comfort: il modello adattivo e il modello di Fanger, rispettivamente utilizzati per la stagione di raffrescamento e la stagione di riscaldamento, in accordo con la EN 16798-1:2019. Lo studio ha mostrato una forte correlazione tra il miglioramento del comfort termico all’interno degli appartamenti e i lavori di riqualificazione effettuati. In particolare, dopo i lavori di riqualificazione si evidenzia un miglioramento delle condizioni di comfort dell'11,4% relativamente alla categoria di comfort II e dell'8,4% per quanto riguarda la categoria III. Tuttavia, la qualità dell'aria interna (IAQ) dell'edificio, valutata in termini di concentrazione di CO2, è stata influenzata negativamente dai lavori di riqualificazione, a causa dell’aumento della tenuta all’aria dell’edificio.
Thermal comfort performance assessment of a retrofitted multi-family building in Milan
ZHANG, ZEEN
2021/2022
Abstract
The thesis aims to analyse the indoor environmental quality (IEQ) mostly, but not only, in terms of thermal comfort and CO2 concentration in 18 apartments of a multi-family residential building located in Milan, Italy. To substantially reduce the building's energy requirements, in the meantime, providing adequate thermal comfort for occupants, retrofit interventions for the building were designed and carried out during the data monitoring campaign, in the context of a research project called Sharing Cities. The thesis analysed the indoor environmental data monitored, from June 2018 to February 2022, by sensor packages installed in 18 apartments of the case-study and the outdoor weather data collected by two weather stations installed respectively about 3 km and 7 km far from the site. Two models for thermal comfort assessment were implemented in the study: Adaptive comfort model and Fanger’s comfort model for cooling season and heating season correspondingly according to EN 16798-1:2019. Even if the datasets are incomplete and there are various degrees of voids in the raw data registered by the sensors, the study showed strong correlations between the thermal comfort performance improvements and the retrofits carried out. Specifically, after the retrofit works, the thermal performance was improved, in terms of the percentage of cases where the thermally comfortable conditions were satisfied, by 11.4% regarding the comfort category II and 8.4% regarding the category III in the case-study building. However, the indoor air quality (IAQ) of the building was adversely affected by the improvement in airtightness due to the renovation, as cases with CO2 concentrations below 1200 ppm decreased by 3.2% after the renovation.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/185793