The aligned vision was not always the case. In September, four of us had already worked together for a year. Not only did we have to navigate an additional member's integration, both building and rebuilding effective and inclusive team dynamics, we all had different visions of what we wanted our project to look like. Initially, we were set on the idea of researching and optimising military logistics. Despite numerous attempts of researching and accessing databases, it was not very feasible, as our scope and means were limited. We thus moved towards decreasing consumption, thinking about how to reuse and share between neighbors, building on experience from our work on community connections last year. After a while, we ended up on one of the challenges from Open Data University.
The project, proposed by Enedis, aims to evaluate how a building's Energy Performance Certificate (DPE) class influences actual electricity consumption.
While DPE ratings (from A to G) are based on standardised estimates rather than real measurements, Enedis provides real consumption data that allow a comparison between predicted and observed values.
The project therefore seeks to answer two main questions:
By merging national DPE and Enedis datasets, the project will quantify the real impact of energy efficiency improvements, assess the variability unexplained by DPEs, and provide data-driven insights to guide renovation and decarbonisation policies.