How can property owners be supported in decreasing their house carbon footprint?
Housing energy consumption contributes to climate change because most Parisian buildings are badly isolated: the heat escapes through the roofs, the walls and the windows causing important heat loss. More energy is necessary to heat these houses, which increases polluting emissions. The 2050 Climate Plan aims to retrofit 40,000 housing units per year to reduce energy consumption and associated greenhouse gas emissions. Today, given the difficulty in identifying relevant buildings, this objective is hard to reach.
housing units retrofitted
per year is the aim of the 2050
The Paris Climate Agency wishes to identify the most energy-consuming residential buildings to carry out targeted actions to support inhabitants in energy retrofit initiatives. Enedis, in partnership with the City of Paris and the Paris Climate Agency, launched this challenge by federating the National Center for Space Studies, CPCU, GRDF, Total and the startup U.R.B.S. to imagine a new tool to meet this challenge. The partners provided data on energy consumption at a building scale, as well as technical and architectural data (year of construction, heating method, building materials, etc.). The solution was tested on residential dwellings in the 13th arrondissement of Paris and led to the identification of housing with priority potential to be renovated. This tool will enable the City of Paris and the Paris Climate Agency to take actions regarding the most consuming housing and encourage property owners to start energy renovation projects. The solution could later be used in other districts of the city and in other cities.
U.R.B.S (Urban Retrofit Business Services) is a startup specialised in the development of digital tools and territorial data processing. U.R.B.S supports public and private stakeholders in their smart city and energy transition projects. For example, the IMOPE solution aims at massifying and accelerating the energy retrofitting of residential buildings.
The IMOPE solution developed by the startup U.R.B.S gathers a great diversity of information: energy consumption by type of energy (electricity, natural gas, district heating, fuel oil), technical characteristics of the buildings (year of construction, size, building materials) and sociological data. IMOPE displays this information on the scale of a given territory - the 13th district of Paris, for example - through a simple and intuitive visual map. When information is missing or difficult to obtain, IMOPE is able to "reconstruct" the unknown or missing data with algorithms relying on available information.