Increasing the visibility of innovative and replicable packages and business models for the deep renovation of buildings in Europe
Today’s measured rate of refurbishment is much lower than what should be observed to remain in line with Europe’s 2050 ambitions. There is a need to accelerate the market uptake and large-scale implementation of energy efficient refurbishment solutions and increase the annual renovation level to 3 %. The poor market acceptance of innovative refurbishment solutions is in most cases attributable to the lack of adequate business models. Innovative business models have already been demonstrated, but their replication is very slow: how can this replication be supported?
To address this issue, a consortium of 5 European organisations received funding from the EU Horizon 2020 research and innovation programme in October 2017 to create and implement the project STUNNING: SusTainable bUsiNess models for the deep reNovation of buIldiNGs.
Under the leadership of DOWEL Management, the STUNNING partners worked two years long on the identification and promotion of innovative packages and business models for the deep renovation of buildings, to accelerate their uptake by market players. Data on integrated and adaptable refurbishment packages, combined with innovative business models which allow consumers and the market to invest with confidence, were collated, synthesised and analysed so as to select and increase awareness of the most promising solutions
The approach
The first stage of STUNNING was to review existing renovation examples and analyse the implemented renovation solutions, their performance, how they had been financed and the generated savings. These renovation cases have been collected through different sources (surveys, web platforms, interviews, partners’ knowledge) and a database of more than 400 European renovation projects has been developed and will continue to be enriched with new cases. About 80 % of today’s database comprises French cases (mostly single-family houses), for which data are available because they have benefited from different types of incentives.
