Government's 'turnkey' heat pump program: 55,000 households assisted, how it works

55,000 households, equivalent to the population of Lille, will receive an average aid of €9,800 to install a heat pump over the next two years through the government's new 'turnkey' device.

Announcement details: who, what, precise figures

The Ministry of Ecological Transition, in partnership with the Environmental and Energy Management Agency (ADEME), presented the device during a press conference in Paris. The offer is aimed at households wishing to replace a gas or oil boiler with a heat pump, whether as part of an energy renovation or new construction. Each eligible household can receive a subsidy of around €9,800, financed by the Heat Fund, with a ceiling of €15,000 for low-income households. The device also provides partial coverage of insulation work to maximize the performance of new installations.

The total funding for the program is estimated at over €540 million, spread over two budget years. Eligibility criteria include habitable surface area, current energy performance of the dwelling, and ability to provide income justification documents. Applications will be processed via a dedicated digital platform where households can upload their supporting documents and track the progress of their file. According to initial estimates, the device should allow for the replacement of nearly 30% of the existing oil boiler park in France.

Context: climate objectives at stake, current situation

This initiative is part of the government's climate roadmap, which aims to reduce greenhouse gas emissions from residential heating by 40% by 2030. Today, heating accounts for nearly 30% of national energy consumption, with more than half still coming from fossil fuels. Predictive models from ECMWF, enriched with Copernicus satellite data, indicate that extreme cold waves could become more frequent, increasing heating demand by an average of 12% over the next few decades.

To refine these forecasts, researchers at Météo-France use neural networks and machine learning models such as GraphCast and Pangu-Weather. These tools process terabytes of atmospheric data to reduce uncertainty in seasonal energy consumption forecasting. According to simulations, the deployment of 55,000 heat pumps could reduce CO₂ emissions from the residential sector by nearly 1.2 MtCO₂ per year, provided that the electricity consumed comes mainly from renewable energies.