Summary
Today, there are still several R&D barriers, and user-acceptance-related challenges that hinder the smooth integration and proliferation of multiple Renewable Energy Technologies (RETs) in buildings. In response to that, RE-COGNITION proposes a holistic, end-to-end RETs Integration Framework towards energy positive buildings with a focus on small and medium-sized buildings in Europe. Through the envisaged Automated Cognitive Energy Management Engine (ACEME), RE will be utilized more efficiently paired with appropriate storage technologies and innovative energy systems to meet the electricity and heating/cooling demand of the buildings. The framework is designed to enable the integration of multiple, heterogeneous, energy generating systems covering the spectrum of available building-scale RES (solar (PV, thermal/ cooling), wind, bio-energy (renewable biofuel through micro-CHP) and geothermal) and demonstrating future-proof extensibility. To this end, the project entails R&D at the level of single technologies and their interconnection with novel energy systems (like heat-pumps harnessing geothermal energy, absorption chillers) leveraging current IoT and smart-grid standardization outcomes. Along with measurable improvements on each technology’s efficiency, performance, desired characteristics and cost-effectiveness, RE-COGNITION ensures optimal integration of RETs in buildings, as well as (inter)operation and matching between building RE supply and energy demand. Its stakeholder-centred approach aligns both the process and its outcomes with the needs and expectations of (end-)users by providing tools that facilitate large-scale deployment of building-scale RETs. For 36 months 15 partners from 7 EU countries will provide technology know-how, lab facilities & 5 validation sites and will work towards meeting EU’s expectations for reduced dependence on fossil fuels and cost-effectiveness compared to conventional energy generation and management solutions in buildings.
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| Web resources: | https://cordis.europa.eu/project/id/815301 |
| Start date: | 01-04-2019 |
| End date: | 30-09-2022 |
| Total budget - Public funding: | 4 990 000,00 Euro - 4 990 000,00 Euro |
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Original description
Today, there are still several R&D barriers, and user-acceptance-related challenges that hinder the smooth integration and proliferation of multiple Renewable Energy Technologies (RETs) in buildings. In response to that, RE-COGNITION proposes a holistic, end-to-end RETs Integration Framework towards energy positive buildings with a focus on small and medium-sized buildings in Europe. Through the envisaged Automated Cognitive Energy Management Engine (ACEME), RE will be utilized more efficiently paired with appropriate storage technologies and innovative energy systems to meet the electricity and heating/cooling demand of the buildings. The framework is designed to enable the integration of multiple, heterogeneous, energy generating systems covering the spectrum of available building-scale RES (solar (PV, thermal/ cooling), wind, bio-energy (renewable biofuel through micro-CHP) and geothermal) and demonstrating future-proof extensibility. To this end, the project entails R&D at the level of single technologies and their interconnection with novel energy systems (like heat-pumps harnessing geothermal energy, absorption chillers) leveraging current IoT and smart-grid standardization outcomes. Along with measurable improvements on each technology’s efficiency, performance, desired characteristics and cost-effectiveness, RE-COGNITION ensures optimal integration of RETs in buildings, as well as (inter)operation and matching between building RE supply and energy demand. Its stakeholder-centred approach aligns both the process and its outcomes with the needs and expectations of (end-)users by providing tools that facilitate large-scale deployment of building-scale RETs. For 36 months 15 partners from 7 EU countries will provide technology know-how, lab facilities & 5 validation sites and will work towards meeting EU’s expectations for reduced dependence on fossil fuels and cost-effectiveness compared to conventional energy generation and management solutions in buildings.Status
CLOSEDCall topic
LC-SC3-RES-4-2018Update Date
26-10-2022
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