Data-Gouv-ML/pcri-informations-sur-les-projets-laureats huggingface dataset:
CO2 based Utility-Scale Long Duration Energy Storage (CO2 Battery)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Challenges
Action type: EIC actions
Countries involved: Italy
Call: EIC Accelerator Challenge: Technologies for ‘Fit for 55’ (HORIZON-EIC-2022-ACCELERATOR-01, 2022)
Start date: 2023-02-01
End date: 2025-03-31
Duration (months): 26.0
Total project cost (EUR): 3946662.5
EU funding (EUR): 2500000.0
Participants: 1
Project status: CLOSED

CO2 Battery is a Long Duration Energy Storage system based on a closed thermodynamic loop that uses CO2 as working fluid. Thanks to the properties of carbon dioxide, the system allows to store energy efficiently and cost effectively. CO2 Battery metrics are: - Round-trip efficiency (RTE) = 75% without degradation over time - CAPEX = 183 €/kWh (First-of-its-kind) able to drop to 103 €/kWh with a capacity of 50 plants per year - Lifetime = 30+ years - Modular and site independent - No rare material hard to supply or dismantle: it uses only steel, water and CO2. CO2 Battery makes the energy transition possible, since the technology can store massive amounts of intermittent renewable energies. Customers are Utilities & Independent Power Producers, Renewable Energy developers, Large C&Is and energy transport and distribution operators. All of them need efficient systems to store energy for periods longer than 4 hours.

Keywords: liquefied co2,long duration energy storage
Zero-defect manufacturing for green transition in Europe (ENGINE)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Industry
Destination: Climate neutral, Circular and Digitised Production
Action type: Innovation actions
Partnership: Made in Europe (co-programmed)
Countries involved: Finland,Austria,Italy,France,Spain,Cyprus,Germany,Latvia
Call: Zero-defect manufacturing towards zero-waste (Made in Europe Partnership) (IA) (HORIZON-CL4-2021-TWIN-TRANSITION-01, 2021)
Start date: 2022-06-01
End date: 2025-05-31
Duration (months): 36.0
Total project cost (EUR): 11553468.0
EU funding (EUR): 8939318.0
Participants: 17
Project status: SIGNED

The main objective of ENGINE is to develop a first-time-right (FTR) and zero-defect metal product design and manufacturing system, then demonstrate it on marine engine supply-chain. Our ambition is to increase competitiveness of industry and SMEs, reduce manufacturing defects and waste, create new business cases, and improve employee well-being. To achieve it ENGINE will: 1. Create and demonstrate a novel metal product design and manufacturing system. 2. Develop computational modelling toolbox for product and process design, non-destructive diagnostic tools for production monitoring, and data solution for seamless integration of the whole supply-chain. 3. Research methodologies for first-time-right and zero-defect manufacturing (ZDM). 4. Investigate LCA and life-cycle cost (LCC) methods for design and business decisions. 5. Present a strategy for employee skills development. 6. Transform innovations into promising business cases. ENGINE's main objective is split into 10 specific objectives to ensure that all relevant areas are covered, the projects roadmap is well thought-out, and the separate steps create an achievable pathway to success. Assuming the current market shares, we expect an increase in turnover 2 000M EUR/year. When we succeed in the deployment plans of ENGINE, and we can decrease the cost per kilowatt, we can assume to double the current market share, thus leading another increase of 2 000M EUR/year. ENGINE is paramount to ensure the manufacturing quality and technical feasibility of new environmentally friendly fuel engines. It will create a huge impact on global CO2 emissions. We estimate that annually CO2 emissions will be reduced by 170 million tons through green fuel engines with the expected market share.

Keywords: zero defect manufacturing,first time right,sustainability,product design and manufacturing,data management,production monitoring,non destructing evaluation,iot,artificial intelligence
Luxembourg AI Factory (L-AIF)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Digital, Industry and Space
Theme: Public-private partnerships
Destination: European High Performance Computing
Action type: Research and Innovation actions
Partnership: EUROHPC (JU-JTI)
Countries involved: Luxembourg
Call: Artificial Intelligence Factories (HORIZON-JU-EUROHPC-2025-AI-01-IBA, 2025)
Start date: 2025-04-01
End date: 2028-03-31
Duration (months): 36.0
Total project cost (EUR): 14000000.0
EU funding (EUR): 7000000.0
Participants: 12
Project status: SIGNED

Luxembourg, a key player in EuroHPC, is leading Europe in high-performance computing (HPC). Its AI Factory initiative aims to establish a secure, trusted infrastructure for AI development, supported by the AI-optimised supercomputer "MeluXina-AI." This supercomputer, with over 2100 GPU-AI accelerators, is designed to train and fine-tune AI models and integrate seamlessly with other AI Factories across Europe. Luxembourg's strategy, as outlined in its coalition agreement "Strengthening Luxembourg for the Future" (12/2023), focuses on AI, data, and quantum technologies. The government is committed to fostering an agile, trustworthy AI ecosystem involving national and international cooperation. The Luxembourg AI Factory (L-AIF) will provide end-to-end AI services, addressing key challenges for AI adopters and promoting cross-border collaboration. Its unique value proposition includes tailored solutions for start-ups and SMEs, a secure supercomputing platform, high-quality data sets, and comprehensive financial instruments. The L-AIF will focus on sectors like Finance, Space, Cybersecurity, and the Green Economy, leveraging local AI stakeholders and public research expertise. The L-AIF initiative is supported by a consortium of five members: LuxProvide, Luxinnovation, LNDS, LIST, and the University of Luxembourg. These entities will implement and operate the AI infrastructure, engage with private-sector companies, facilitate data access, conduct AI research, and support skill development. Their combined efforts will drive Luxembourg's digital transformation and contribute to Europe's competitive AI landscape

Keywords: artificial intelligence ai factories trustworthy ai ai optimised supercomputers
Digitalising the PV sector for the era of Terawatts (PVOP)

Framework: Horizon Europe — Global Challenges and European Industrial Competitiveness
Programme: Climate, Energy and Mobility
Theme: Energy
Destination: Sustainable, secure and competitive energy supply
Action type: Innovation actions
Countries involved: Spain,Portugal,Germany,Belgium,Poland
Call: Operation, Performance and Maintenance of PV Systems (HORIZON-CL5-2023-D3-02, 2023)
Start date: 2024-05-01
End date: 2027-04-30
Duration (months): 36.0
Total project cost (EUR): 6005270.0
EU funding (EUR): 4856743.63
Participants: 8
Project status: SIGNED

PVOP aims at an innovative digitalisation of the PV sector at European scale developing and demonstrating 8 novel technical solutions that will allow to increase the performance of PV systems by 4.7%, reduce the O&M costs by 32% and increase utility-friendly integration with storage. PVOP rationale will be implemented on the basis of operational data record of real PV systems totalling more than 11GW. Advance artificial intelligence and big data methods will be developed to analyse these data together with a deep experience team to establish the cause-effect relationships in system failures. There, on the one hand, these methods will be the core to develop the technical solutions, and on the other hand, open science techniques will help to identify the PV sector needs that will also be considered in such development. The 8 solutions will be validated in 2 phases: 1) controlled environments, and 2) real PV systems. This validation process will be monitored and evaluated with 30 KPIs until TRL 7 is reached. Later on, these 8 technical solutions will be offered to the entire EU PV sector, maximising the impact of the project and making reliable the generation of the expected electricity for longtime. As a consequence of the developments and activities performed in PVOP, the PV sector will have the profitability necessary to meet the EU objectives producing the TWh expected and being leader in the creation of an autonomous and climate-neutral energy system.

Keywords: digitalisation,artificial intelligence,performance,operation,maintenance
Pioneering automated building digitisation with Lumoview for empowered decision-making in energy-efficient building renovation (LumoGen1)

Framework: Horizon Europe — Innovative Europe
Programme: The European Innovation Council (EIC)
Theme: EIC Accelerator
Destination: Open to supporting projects in all areas of science, technology,...
Action type: EIC actions
Countries involved: Germany
Call: EIC Accelerator Open 2023 (HORIZON-EIC-2023-ACCELERATOR-01, 2023)
Start date: 2024-04-01
End date: 2026-03-31
Duration (months): 24.0
Total project cost (EUR): 3568750.0
EU funding (EUR): 2498125.0
Participants: 1
Project status: SIGNED

Energy-efficient building renovations are crucial for reducing the operational carbon emissions of EU building stock, thereby aligning with the EU’s Renovation Wave strategy and carbon-neutrality goal. Accurate, comprehensive and up-to-date data on the buildings’ structural and thermal aspects are required for effective energy-efficient renovation planning, which do not exist for most of the EU buildings. Further, existing methods to collect such data are laborious, slow, and prone to human error, especially for large buildings, discouraging building owners and industry professionals from pursuing immediate improvements. We have developed a patented easy-to-use handheld measurement device and proprietary algorithm to automatically digitise buildings’ interiors in record time. With the EIC we can accelerate the commercialisation of our enabling technology for industry professionals expediting buildings’ renovation process, while significantly contributing to the EU Renovation wave.

Keywords: building energy efficiency deep renovations digital services business model innovation circular economy web and information systems,database systems,information retrieval and digital libraries
Smart roof edge technology (SRE)

Framework: Horizon 2020 — Societal Challenges
Programme: Secure, clean and efficient energy
Action type: SME instrument
Countries involved: Switzerland
Call: Stimulating the innovation potential of SMEs for a low carbon and efficient energy system (H2020-SMEINST-1-2016-2017, 2017)
Start date: 2017-12-01
End date: 2018-04-30
Duration (months): 5.0
Total project cost (EUR): 71429.0
EU funding (EUR): 50000.0
Participants: 1
Project status: CLOSED

Buildings account for 40% of energy consumption and 36% of CO2 emissions in the EU. • Anerdgy has developed a roof edge building technology which combines local energy generation, building design options and roof edge functionality in just one modular system. Currently many flat roof buildings, which are renovated or new builds, face multiple challenges to be energetically upgraded – cost, functionality, aesthetics and the local energy generation have to be optimally combined by architects and building planners to achieve both the building owners’ & the regulatory goals. As of today it is very difficult to achieve and as a result, the potential of flat roof buildings are very often not utilised. • The Anerdgy WindRail C30 System enables architects & building planners to overcome the flat roof challenges in an easy way for both planning & installation by the use of our multifunctional system on roof edges. The system combines the maximum possible renewable local energy generation with great aesthetics and cost savings. • The system is fully customizable for the various roof geometries and their needs. • The WindRail C30 system takes over many of the functions of traditional separately installed elements thereby typically recovering 35-70% of its cost whilst additionally enabling easy integration of design options. The remaining 30-65% of the costs is repaid by the local energy generation with a typical energy production cost of 0.05-0.10€/kWh. • The WindRail C30 system unlocks the immense potential of flat roof buildings, resulting in a by far better solution to achieve the goals of renewable local energy generation and CO2 reduction than with the current standalone solutions. Reports by the EU funded IEE project Episcope looking at European countries show that on average 11% of the buildings have flat roofs. A market review from Uni. St. Gallen indicate an addressable market size of 2.3 billion € per year. • WindRail C30 can tap this hitherto huge untapped market

Keywords: windrail,energy design function,renewable modular energy system,roof edge building,technology,hybrid wind and solar system,electricity and heat
Chemo-Enzymatic Manufacturing Routes to High- Value compounds (ChemoEnz)

Framework: Horizon 2020 — Excellent Science
Programme: Marie-Sklodowska-Curie Actions
Theme: Marie Skłodowska-Curie
Destination: Research and innovation staff exchange
Action type: Marie Skłodowska-Curie actions
Panel: Chemistry
Countries involved: Ireland,Italy,Switzerland
Call: Marie Skłodowska-Curie Research and Innovation Staff Exchange (RISE) (H2020-MSCA-RISE-2014, 2014)
Start date: 2015-06-01
End date: 2017-05-31
Duration (months): 24.0
Total project cost (EUR): 234000.0
EU funding (EUR): 234000.0
Participants: 3
Project status: CLOSED

The aim of this project is to bring together subject matter experts from the academic and non-academic sectors to develop a platform of “green” chemoenzymatic methods for the production of high value active pharmaceutical ingredients – both those currently on the market, and those in development pipelines of the Pharma industry. The partners will exemplify the use of the platform through its application in the production of 4 drugs currently on the market – namely Duloxetine, Atomexetine, Ramosetron and Paricalcitol. In order to achieve this objective the proposal brings together 3 partners with complementary skills: Kelada Pharmachem: Phase transfer catalysis/organo catalysis/scale-up of chemical processes Cerbios Pharma: Biocatalysis and fermentation methodologies for drug production IC-CNR: Protein crystallography and enzymatic engineering

Keywords: organocatalysis,green chemistry,process development
Immune-privileged, immortal, myogenic stem cells for gene therapy of Muscular Dystrophy. (UniMab)

Framework: Horizon 2020 — Excellent Science
Programme: European Research Council (ERC)
Theme: European research council
Destination: Advanced grants
Action type: ERC actions
Panel: Prevention, Diagnosis and Treatment of Human Diseases
Panel description: Medical technologies and tools for prevention, diagnosis and treatment of human diseases, therapeutic approaches and interventions, pharmacology, preventative medicine, epidemiology and public health, digital medicine
Countries involved: Italy
Call: ERC Advanced Grant (ERC-2019-ADG, 2019)
Start date: 2021-01-01
End date: 2025-12-31
Duration (months): 60.0
Total project cost (EUR): 2345625.0
EU funding (EUR): 2345625.0
Participants: 1
Project status: SIGNED

Duchenne muscular dystrophy (DMD) is a devastating incurable disease, affecting thousands with heavy burden on health systems. This project combines the development of a safe, “immune-privileged cell” with genetic engineering to correct many dystrophin gene mutations for an efficacious and cost affordable therapy. The applicant pioneered systemic intra-arterial transplantation of mesoangioblasts (blood vessel-derived progenitors) that proved safe in DMD patients and is being implemented for efficacy. However, this personalised approach would prove prohibitively expensive for healthcare systems, as pricing of successful gene therapies is showing. We made the striking observation that human mesoangioblasts can be indefinitely expanded with a novel culture medium, even after genetic manipulation and cloning. Cells will be first genome edited to delete endogenous HLA (β2-microglubin and class II CTA) while inserting tolerogenic HLA-E, fused to β2-microglubin and, as safety device, the Herpes Simplex Thymidine Kinase suicide gene with truncated NGF receptor for selection. Edited clones will be checked for genome integrity. Selected clones will be engineered to express a small nuclear RNA (snRNA) that causes skipping of a given exon of the dystrophin gene. Due to the syncytial nature of muscle fibres, the snRNA also enters and corrects the genetic defect in neighbouring, dystrophic nuclei, thus amplifying of one log the therapeutic effect. Five different cell lines would correct the mutation in 60% of DMD patients. The cell lines will be transplanted in humanized DMD mice and assessed for the ability to escape immune surveillance and to differentiate in dystrophin expressing myofibers, establishing pre-clinical safety and efficacy for an off the shelf, affordable product. The applicant has unique expertise to successfully complete this project, whose strategy may be expanded to other recessive monogenic diseases, for a ground breaking impact in regenerative medicine.

Keywords: adult stem cells,genome editing,gene correction,exon skipping,immune privilege,cell proliferation
Rolling Out OSNMA for the secure synchronization of Telecom networks. (ROOT)

Framework: Horizon 2020 — Industrial Leadership
Programme: Space
Theme: Enabling exploitation of space data
Action type: Innovation actions
Countries involved: Italy,Spain,Spain,Belgium,Belgium
Call: EGNSS applications fostering societal resilience and protecting the environment (H2020-SPACE-EGNSS-2020, 2020)
Start date: 2020-11-01
End date: 2022-07-31
Duration (months): 21.0
Total project cost (EUR): 1304686.25
EU funding (EUR): 1066842.88
Participants: 7
Project status: CLOSED

The study of critical dependancies upon GNSS-derived time and position identifies telecomunications, emergency services, energy, finance, food and transport as the sectors where GNSS plays a key role. GNSS is used as a timing source for the synchronization of various types of network and has been recently dened as the backbone of the connected world and also the invisible utility. Some of these networks are classied as critical infrastructures and, together with other service infrastructures, pose security-related requirements on top of timing accuracy requirements. ROOT (Rolling Out OSNMA for the secure synchronization of Telecom networks) project will assess the benefits introduced by the Galileo OSNMA signal in the specific context of telecommunication network synchronization applications. It will estimate the increased resiliance brough by OSNMA to GNSS-based timing sources. ROOT will consider the requirements, such as accuracy, tollerance to timing outages, etc., posed by the 5G playground to guarantee the expected perfomance. ROOT will follow an experimental approach to demonstrate and measure the increased level of robusteness provided by new multi-frequency, OSNMA-ready Galileo receivers, when they slave multiple timing sources across the network. This will be combined to secure network synchronization distribution by means of Precision Time Protocol and its White Rabbit flavour; specific network-related Key Performance Indicators will be measured. ROOT will foster the adoption of Galileo signals featuring authentication mechanisms in terrestrial infrastructures dependant upon satellite-derived time. ROOT partners cover the whole value chain for critical infrastructures: from research to manufacturers of GNSS and timing components, from networks operators to experts in market strategies, the partners complement each other in terms of knowledge and competences. They collectively constitute a consortium capable of fulfilling the project objectives.

Keywords: robust synchronization of telecommunication networks,cyber security,osnma
Open Digital Research Environment Toolkit for the Advancement of Mathematics (OpenDreamKit)

Framework: Horizon 2020 — Excellent Science
Programme: Research Infrastructures
Theme: Research infrastructures
Destination: e-Infrastructures
Action type: Research and Innovation actions
Countries involved: Germany,Germany,Germany,Germany,Switzerland,Belgium,Poland,Norway,France,France,France,France,France,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom,United Kingdom
Call: e-Infrastructures for virtual research environments (VRE) (H2020-EINFRA-2015-1, 2015)
Start date: 2015-09-01
End date: 2019-08-31
Duration (months): 48.0
Total project cost (EUR): 7633071.26
EU funding (EUR): 7626345.51
Participants: 23
Project status: CLOSED

OpenDreamKit will deliver a flexible toolkit enabling research groups to set up Virtual Research Environments, customised to meet the varied needs of research projects in pure mathematics and applications and supporting the full research life-cycle from exploration, through proof and publication, to archival and sharing of data and code. OpenDreamKit will be built out of a sustainable ecosystem of community-developed open software, databases, and services, including popular tools such as LinBox, MPIR, Sage(sagemath.org), GAP, PariGP, LMFDB, and Singular. We will extend the Jupyter Notebook environment to provide a flexible UI. By improving and unifying existing building blocks, OpenDreamKit will maximise both sustainability and impact, with beneficiaries extending to scientific computing, physics, chemistry, biology and more and including researchers, teachers, and industrial practitioners. We will define a novel component-based VRE architecture and the adapt existing mathematical software, databases, and UI components to work well within it on varied platforms. Interfaces to standard HPC and grid services will be built in. Our architecture will be informed by recent research into the sociology of mathematical collaboration, so as to properly support actual research practice. The ease of set up, adaptability and global impact will be demonstrated in a variety of demonstrator VREs. We will ourselves study the social challenges associated with large-scale open source code development and of publications based on executable documents, to ensure sustainability. OpenDreamKit will be conducted by a Europe-wide demand-steered collaboration, including leading mathematicians, computational researchers, and software developers long track record of delivering innovative open source software solutions for their respective communities. All produced code and tools will be open source.

Keywords: pure mathematics,computer algebra,simulation,visualisation,component architecture,databases,reproducibility,sage,ipython,jupyter,lmfdb,mathhub