The Net Zero Industry Act reckons the production of low-carbon hydrogen (H2) to be a strategic industry. Water electrolysis using renewable energy sources (RES) is a promising way to produce low-carbon H2. To allow the large-scale deployment of electrolysis technologies, monitoring the status of health of the electrolyser to opt for optimal operating conditions for the extension of their lifetime under fluctuating RES, and thus the reduction of the cost of ownership, is still a challenge. The DELYCIOUS project will develop monitoring and diagnostic tools for electrolysers that are cost-efficient, innovative, open, universal, and safe, leveraging: - A unique combination of techniques to probe chemical and electrochemical properties (Raman and Electrochemical Impedance spectroscopies) and modelling approaches (physical and data-driven modelling) to access degradation parameters. - An interoperability prerogative thanks to validation of the functionality and resilience of DELYCIOUS on low and high temperature domains of technologies using three electrolysis technologies (AEL, PEMEL, SOEL). - A strong European consortium combining expertise in the development of hardware sensors (Horiba, SIVONIC) and algorithms (Air Liquide, UT), and their eventual integration into the Electrolyser Management System software platform (Dumarey). The hardware and algorithms will be validated on a laboratory scale during test campaigns of AEL (Stargate), SOEL (UT), and PEMEL (Air Liquide). Since AEL electrolysers will play a major role in large-scale low-carbon H2 production plants, we will provide a TRL6 demonstration of diagnostic and monitoring tools for AEL >100kW (Fraunhofer IWES). A techno-economic analysis is carried out to outline a commercialisation and exploitation roadmap, in line with the needs and expertise of our consortium and advisory board partners. It is expected that 5.9GW of water electrolysers capacity installed in EU by 2035 will be using our technology.

Artificial intelligence is increasingly being brought to the source of data, thus establishing the Edge AI concept. Edge AI is gaining momentum across various industries and services by public authorities and enables new applications requiring high performance, ultra-low latency with high bandwidth, efficient power use, and intelligence beyond regular computing. Its strategic importance is emphasised through the EU Chips Act monetary investments in the EU semiconductor supply chain, highlighting the urgent need for a qualified workforce. The advancements in Edge AI applications face critical research and engineering challenges related to limited computing and energy resources of the edge devices, limitations of the existing AI algorithms and their insufficient fit. Also, the related rapid technological advancements, market dynamics, interdisciplinarity, and regulatory uncertainty set a unique challenge for the valorisation and management of Edge-AI innovations. The general research objective of TIRAMISU is a practical methodology for reliable and energy-efficient Edge AI hardware backbone design and innovation management. The action will provide strong interdisciplinary training for future European engineers and researchers driving the innovation for reliable and energy-efficient Edge AI chips. The consortium is strategically designed to foster cross-disciplinary synergies, by seamlessly integrating innovation management research with the technical aspects of Edge AI design. The non-academic sector is represented by a European flagship R&D hub for nanoelectronics - IMEC, a global leader in industrial electronics and the largest semiconductor manufacturer in Germany - Infineon, a trusted automotive solutions provider - PUNCH, the worldwide leader in EDA tools development - Cadence. The academic excellence is established by the top ICT and Technology Innovation engineering universities and Europe's largest application-oriented research organisation - Fraunhofer.