SOURCE-LINKED INTELLIGENCE
SOLar-driven INDustrial power And heat upgRaded with hIgh-temperature heaT pumps for enhanced integrated process efficiencY
will address all major technical challenges related to the integration of the aforementioned modules to the main process plant, while holistic orchestration at system level will be achieved thanks to Artificial Intelligence (AI)-enabled process control, Digital Twinning (DT) architecture and easy-to-use visualization dashboard, that will optimally manage all plant assets at any given time, efficiently matchmaking the available resources with the industrial power and heat needs. The pilot system to be developed will demonstrate its effectiveness, robustness, sustainability and cost-efficiency in three industrial sites, belonging to different industrial sectors (Food, Paper, Rubber industries) and climatic regions (Germany, Greece, Italy), utilising medium-grade heat at different temperatures (195-270°C) and media (diathermic oil, air), and having different plant capacities, operational and physical configurations, land constraints, fuels in use, etc. Moreover, 5 replication studies (3 in Jordan; 2 in Morocco) have been foreseen in solar resources-abundant non-EU Mediterranean region c
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 6998055
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.