Improving energy efficiency in the residential and tertiary sector by data analysis
Résumé
This presentation exposes the methodologies developed to establish tools framework for residential and tertiary building’s energy consumption analysis including behavioral aspects. These methods give a sample of results that aim at helping the inhabitant in reducing their own consumption by the analysis of data provided by a sample of sensors. These analyses provide simplified indicators to assess the potential of energy efficiency in different environments. We have used the results of two main experimentations involving on the one hand households with one smart meter and a temperature sensor; on the other hand two different tertiary buildings with different activities have been equipped with some sensors. We present some specificities of the load curve of some appliances to enhance the energy efficiency potential regarding not only the new technologies, but also the behavior that can explain some troubles in the energy consumption load. Then with different data analysis we propose some kind of relevant information to encourage the users in changing their habits to improve their efficiency in energy consuming. Some examples are shown to point out the difficulties in the identification of the real improvement in the long term.