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    Efficient valorisation of CO2 and bio-waste for long-term energy storage using a microwave plasma torch and quenching using the reverse Boudouard reaction
    Now that renewable energy generation is already competitive in cost with electricity obtained from fossil fuels, the development of efficient long term energy storage methods seems crucial for a faster transition to a net-zero greenhouse gas emissions EU economy. Power-to-X methods are promising due to their negligible discharge rate but up to now all the efforts have been based on the use of H2 obtained by electrolysis, and the TEAs have shown that the high cost of the electrolysers hinders greatly its possibilities of industrial use. EffiTorch aims at developing an alternative breakthrough technology for Power-to-X based on the direct splitting of CO2, using an ultra-high temperature thermal plasma, with the simultaneous valorisation of low value bio-waste, leading to the efficient production of syngas. EffiTorch aims to reach carbon efficiencies higher than 90% and energy efficiencies higher than 60%, outperforming the best solutions available presently. Some of the research groups in Effitorch have a vast experience in CO2 splitting using Microwave (MW) plasma torches. Nevertheless, recently a compound approach that combines CO2 splitting by thermal plasmas with a quenching using the very endothermic reverse Bouduard reaction (RBR) has been developed in China that vastly improves the promising results obtained in the splitting of CO2 , while solving one of the yet unresolved issues, that of the efficient separation of the gases obtained. EffiTorch aims to explore the possibilities offered by a much improved version of the experimental set-ups used by the Chinese groups, including additional sophistications like the ultrasonic atomization of a bio-oil obtained by Hydrothermal Liquefaction (HTL) from sewage sludge, the use of high temperature reactors with plasma confinement and the implementation of a secondary heating of the plasma by induction with HF frequency (100-400 KHz), that could improve the energy efficiency and reduce costs.
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    Item type:Project,
      37
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    Item type:Project,
    Accelerating collection and use of soil health information using AI technology to support the Soil Deal for Europe and EU Soil Observatory
    The objective of AI4SoilHealth is to co-design, create and maintain an open access European-wide digital infrastructure, compiled using state-of-the-art Artificial Intelligence (AI) methods combined with new and deep soil health understanding and measures. The AI-based data infrastructure functions as a Digital Twin to the real-World biophysical system, forming a Soil Digital Twin. This can be used for assessing and continuously monitoring Soil Health metrics by land use and/or management parcel, supporting the Commission’s objective of transitioning towards healthy soils by 2030. The project is divided into seven (7) work-packages including: (WP2) Policy and stakeholder engagement - networking and synchronising with EU and national programmes, (WP3) Soil health methodology and standards - developing/testing methodology to be used by WPs 4-6, (WP4) Soil health in-situ monitoring tools and data - developing field and laboratory solutions for Observations & Measurements, (WP5) Harmonised EU-wide soil monitoring services - developing the final suite of tools, data and services, (WP6) Multi-actor engagement pilots - organizing field-works and collect users' feedback, (WP7) Soil literacy, capacity building and communication - organizing public campaigns and producing educational materials. Key deliverables include: 1) Coherent Soil Health Index methodology 2) Rapid Soil Health Assessment Toolbox 3) AI4SoilHealth Data Cube for Europe 4) Soil-Health-Soil-Degradation-Monitor 5) AI4SoilHealth API and Mobile phone App. Produced tools will be exposed to target-users (including farmer associations in >10 countries), so their feedback is used to improve design/functionality. Produced high-resolution pan-European datasets will be distributed under an Open Data license, allowing easy access by development communities. AI4SoilHealth will provide an effective Soil Health Index certification system to support landowners and policy makers under the new Green Deal for Europe.
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