Through EBENTO, citizens will increase their implication in building energy efficiency enhancement, and both public institutions and energy communities will be able to identify potential energy efficiency improvements in residential housing stock, with SMEs and ESCOs support. Furthermore, with EBENTO platform, new business models for optimizing the financial (and, indirectly, other) resources available will be validated:

• EBENTO will explore the best financing and collaboration schemes to set up energy services.
• EBENTO will study how to enhance current Energy Performance Contracting (EPC) for Demand Side Mechanism (DSM) services and what kind of investment options (grants, loans…) can be implemented to increase the number and impact of energy efficiency projects in the city/region
• By using digital tools, EBENTO will gather data from EPCs, financial schemes and energy savings to give to the citizens the required trust for investing in new solutions, and to companies the relevant information to reduce costs and easily replicate the work developed.

EBENTO will ensure the exchange of relevant information between the different actors, making the renovation process cost-efficient and easy to operate and replicate. The platform will collect data related to performance contracts and guarantees, devices monitoring, energy savings, building information modelling, users’ opinions and comfort levels, among others. 

Partners

• ETRA INVESTIGACION Y DESARROLLO SA
• HYPERTECH KENTRO EPISTIMONIKON KAI TECHNOLOGIKON EREVNON AEIFORIAS ASTIKI MI KERDOSKOPIKI ETAIREIA
• TALLINNA TEHNIKAÜLIKOOL
• FUNDACIO DE LA COMUNITAT VALENCIANAOBSERVATORI VALENCIA DEL CANVI CLIMATIC
• JOANNEUM RESEARCH FORSCHUNGSGESELLSCHAFT MBH
• UNIVERZA V LJUBLJANI
• Inovacijsko-razvojni institut Univerze v Ljubljani
• MYTILINAIOS ANONIMI ETAIREIA
• INSTITUTE FOR EUROPEAN ENERGY AND CLIMATE POLICY STICHTING
• CENTRO DE ESTUDIOS DE MATERIALES Y CONTROL DE OBRA SA

Start date: 1 October 2022 - End date: 30 September 2025

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101079888.