EU H2020 4RinEU - Robust and Reliable technology concepts and business models for triggering deep Renovation of Residential buildings in EU

EU H2020 REWARDHeat - Renewable and Waste Heat Recovery for Competitive District Heating and Cooling Networks

EU H2020 PV IMPACT - Actual execution of the Implementation Plan for Photovoltaics and monitoring the Implementation Plan’s delivery

EU FP7 SINFONIA - Smart INitiative of cities Fully cOmmitted to iNvest In Advanced large-scaled energy solutions.

EU H2020 INFINITE - INDUSTRIALISED DURABLE BUILDING ENVELOPE RETROFITTING BY ALL-IN-ONE
INTERCONNECTED TECHNOLOGY SOLUTIONS

EU H2020 EnergyMatching - Adaptable and adaptive RES envelope solutions to maximise energy harvesting and optimize EU building and district load matching

EU H2020 VARICITIES - VISIONARY NATURE BASED ACTIONS FOR HEALTH, WELLBEING & RESILIENCE IN CITIES

EU H2020 CULTURAL-E: Climate and cultural based design and market valuable technology solutions for Plus Energy Houses

EU H2020 TRUST-PV: Increase Friendly Integration of Reliable PV plants considering different market segments

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IT FG-INEWA - Development of optimised control strategies for a double source heat pump system

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The project focuses on the control of double source (aerothermal and geothermal) heat pumps, and in particular on the development of smart control logics to be implemented in thermal systems that use such units to cover thermal loads in residential buildings. Following a characterization of the machine proposed on the market by INEWA, a numerical model will be developed with the aim of developing the control algorithms of a typical thermal plant that uses this unit. The algorithms will use artificial intelligence techniques to select which source shall be uses, based on monitored weather conditions and calculated thermal loads. Once developed in a simulated environment, the control will be validated EURAC's laboratories.

The project focuses on the control of double source (aerothermal and geothermal) heat pumps, and in particular on the development of smart control logics to be implemented in thermal systems that use such units to cover thermal loads in residential buildings.Following a characterization of the machine proposed on the market by INEWA, a numerical model will be developed with the aim of developing the control algorithms of a typical thermal plant that uses this unit. The algorithms will use artificial intelligence techniques to select which source shall be uses, based on monitored weather conditions and calculated thermal loads. Once developed in a simulated environment, the control will be validated EURAC's laboratories.

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