Around 45% of the energy consumption in France belongs to the residential and tertiary sectors, from which around 60% belongs to the households. To meet the ambitious goal of reaching net-zero emissions and decreasing the energy consumption by 50% by the year 2050, France should follow a renovation pace of 500 000 building units per year. One-fifth of this stock belongs to the social residential buildings, most of which are built before 1975. Assessing the energy performance of these residences and choosing the right retrofit path is often challenged by the lack of data on the actual operating conditions of the building. The aim of this study is to assess the actual energy consumption of an old social residence in France, built-in 1973, by combining different assessment methods. The available literature sources and on-site inspections are combined within-site measurements of the indoor thermal comfort, occupant actions, and energy consumption using sensor networks. The large monitoring dataset is interpreted through various analyses. Valid information, patterns, and correlations are established between the operation of the building systems for water and space heating. Information about the users, their similarities and differences in terms of thermal comfort preferences, DHW needs, and daily routines were also provided. Based on the measurement data mining, a detailed profile of the state of the monitored apartments is secured, and a valid contribution to the future retrofit decision-making procedure is given. Finally, the thesis gave a detailed description of the ongoing campaign, pointing out the weakness of the monitoring and giving suggestions for future improvements.
Circa il 45% del consumo di energia in Francia appartiene al settore residenziale e terziario, di cui circa il 60% appartiene alle famiglie. Per raggiungere l'ambizioso obiettivo di raggiungere emissioni nette zero e ridurre il consumo di energia del 50% entro il 2050, la Francia dovrebbe seguire un ritmo di ristrutturazione di 500.000 unità immobiliari all'anno. Un quinto di questo stock appartiene agli edifici di social housing, la maggior parte dei quali sono stati costruiti prima del 1975. Valutare le prestazioni energetiche di queste residenze e scegliere il giusto percorso di retrofit è spesso complicato a causa della mancanza di dati affidabili sulle reali condizioni operative dell'edificio. Questo lavoro ha lo scopo di dare una definizione più precisa del reale consumo energetico di un edificio popolare datato (1973) in Francia combinando diversi metodi di valutazione disponibili. La letteratura disponibile e le indagini in loco sono combinate con le misurazioni in campo del comfort termico interno, delle attività degli inquilini e del consumo energetico impiegando reti di sensori. L'ampio set di dati di monitoraggio viene interpretato attraverso diverse analisi e vengono individuate informazioni valide, modelli e correlazioni tra il funzionamento dei sistemi dell'edificio per il riscaldamento dell'acqua e dell'aria. Il monitoraggio ha anche permesso di ottenere maggiori informazioni sugli utenti, sulle loro somiglianze e differenze in termini di preferenze di comfort termico, esigenze di acqua calda sanitaria e abitudini quotidiane. In base alle misurazioni del data mining, il profilo dettagliato dello stato degli appartamenti monitorati rappresenta un sicuro è valido contributo alla futura procedura di retrofit decisionale data. Infine, la ricerca ha dato una descrizione dettagliata sulla campagna in sviluppo mostrando le debolezze del monitoraggio e dando suggerimenti per futuri miglioramenti.
Monitoring data mining for a social residence in France
Veselinova, Ivana
2020/2021
Abstract
Around 45% of the energy consumption in France belongs to the residential and tertiary sectors, from which around 60% belongs to the households. To meet the ambitious goal of reaching net-zero emissions and decreasing the energy consumption by 50% by the year 2050, France should follow a renovation pace of 500 000 building units per year. One-fifth of this stock belongs to the social residential buildings, most of which are built before 1975. Assessing the energy performance of these residences and choosing the right retrofit path is often challenged by the lack of data on the actual operating conditions of the building. The aim of this study is to assess the actual energy consumption of an old social residence in France, built-in 1973, by combining different assessment methods. The available literature sources and on-site inspections are combined within-site measurements of the indoor thermal comfort, occupant actions, and energy consumption using sensor networks. The large monitoring dataset is interpreted through various analyses. Valid information, patterns, and correlations are established between the operation of the building systems for water and space heating. Information about the users, their similarities and differences in terms of thermal comfort preferences, DHW needs, and daily routines were also provided. Based on the measurement data mining, a detailed profile of the state of the monitored apartments is secured, and a valid contribution to the future retrofit decision-making procedure is given. Finally, the thesis gave a detailed description of the ongoing campaign, pointing out the weakness of the monitoring and giving suggestions for future improvements.| File | Dimensione | Formato | |
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2022_06_Veselinova.pdf
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https://hdl.handle.net/10589/188931