The Université Lille 1 is a French university located on a dedicated main campus in Villeneuve d'Ascq with 20,000 full-time students plus 14,500 students in continuing education . 1,310 permanent faculty members plus 1,200 staff and around 140 CNRS researchers work there in the different University Lille 1 institutes and 43 research labs. University Lille 1 is a member of the European Doctoral College Lille-Nord-Pas de Calais, which produces 400 doctorate dissertations every year. The university is ranked in the world top 200 universities in mathematics by the Shanghai ranking.University Lille 1 was established in 1854 in Lille, although its academic roots extend back to 1562. It later moved to Villeneuve d'Ascq in 1967. The University focuses on science and technology. Law, business management and medical fields are taught in the independent campus of Université de Lille II, while literature and social science are taught as part of the independent campus of Université de Lille III. Altogether, the three university campuses in Lille include more than 90,000 students and are the main parts of the Université Lille Nord de France. Wikipedia.
Lille University of Science, Technology and French National Center for Scientific Research | Date: 2015-04-27
The present invention relates to a method for dry reforming of at least one alkane carried out in at least one reaction chamber, preferably with a catalytic bed, having a stream of gas passing through same. According to the invention, said at least one reaction chamber comprises a catalytic solid which is cyclically and alternatively exposed to a stream of at least one alkane and a stream containing carbon dioxide, such that said catalytic solid is used as an oxidation vector.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: H2020-TWINN-2015 | Award Amount: 1.02M | Year: 2016
Many real-world application areas, such as advanced manufacturing, involve optimisation of several, often time-consuming and conflicting objectives. For example, they require the maximisation of the product quality while minimising the production cost, and rely on demanding numerical simulations in order to assess the objectives. These, so-called multi-objective optimisation problems can be solved more efficiently if parallelisation is used to execute the simulations simultaneously and if the simulations are partly replaced by accurate surrogate models. The overall goal of the SYNERGY project is to overcome the limitations of the current initial-stage research in multi-objective optimization at the Joef Stefan Institute (JSI), Ljubljana, Slovenia, where efficiency measures have only been explored at a very small scale and with no collaboration with other partners. To that end, JSI initiates this project with two high-profile research institutions with complementary expertise, Universit des sciences et technologies de Lille (USTL), France, and Cologne University of Applied Sciences (CUAS), Germany. While USTL is a leading partner in parallelisation on large-scale heterogeneous architectures, CUAS provides expertise in surrogate modelling and its deployment in optimisation problems. The project addresses three core objectives: (1) improve JSI excellence and unleash its research and innovation potential through training in parallelisation and surrogate modelling, and aiding organisation of workshops that will foster discovery of new ways of combining the two methods; (2) raise the research profile of JSI staff and broaden its recognition through networking that will result in knowledge transfer, joint publications and future research projects; and (3) increase the overall research and innovation potential of Slovenia by disseminating the acquired knowledge to other Slovenian research organisations, and deploying it in future applied projects.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: NMP-23-2015 | Award Amount: 4.98M | Year: 2016
To date, three way catalytic converters (TWCs) have been established as the most effective engine exhaust after-treatment system. However, TWCs not only fail to address the issue of particulate matter (PM) emissions but are also the main industrial consumer of Critical Raw Materials (CRMs) mainly Platinum Group Metals (PGMs) and Rare Earth elements (REEs), with the automotive industry accounting for 65%-80% of total EU PGMs demand. The enforcement of new limits on PM emissions (EURO 6c/7) will require higher TWC performance, hence leading to further increase the CRMs content in autocatalysts. Addressing the necessity of CRMs reduction in catalysis, PARTIAL-PGMs proposes an integrated approach for the rational design of innovative nanostructured materials of low/zero PGMs/REEs content for a hybrid TWC/Gasoline Particulate Filter (GPF) for automotive emissions after-treatment with continuous particulates combustion also focusing on identifying and fine-tuning the parameters involved in their preparation, characterization and performance evaluation under realistic conditions. PARTIAL-PGMs approach is broad, covering multiscale modeling, synthesis and nanomaterials characterization, performance evaluation under realistic conditions as well as recyclability, health impact analysis and Life Cycle Assessment. The rational synthesis of nanomaterials to be used in these hybrid systems will allow for a reduction of more than 35% in PGMs and 20% in REEs content, either by increasing performance or by their replacement with transition metals. The compact nature of the new hybrid system not only will allow its accommodation in smaller cars but will also reduce cold start emissions and light-off times with performance aiming to anticipate both future emission control regulations and new advances in engines technology. Such R&D progress in autocatalysts is expected to pave the way to the widespread use of such low CRMs content materials in other catalytic applications.
Agency: European Commission | Branch: H2020 | Program: SGA-RIA | Phase: FETFLAGSHIP | Award Amount: 89.00M | Year: 2016
This project is the second in the series of EC-financed parts of the Graphene Flagship. The Graphene Flagship is a 10 year research and innovation endeavour with a total project cost of 1,000,000,000 euros, funded jointly by the European Commission and member states and associated countries. The first part of the Flagship was a 30-month Collaborative Project, Coordination and Support Action (CP-CSA) under the 7th framework program (2013-2016), while this and the following parts are implemented as Core Projects under the Horizon 2020 framework. The mission of the Graphene Flagship is to take graphene and related layered materials from a state of raw potential to a point where they can revolutionise multiple industries. This will bring a new dimension to future technology a faster, thinner, stronger, flexible, and broadband revolution. Our program will put Europe firmly at the heart of the process, with a manifold return on the EU investment, both in terms of technological innovation and economic growth. To realise this vision, we have brought together a larger European consortium with about 150 partners in 23 countries. The partners represent academia, research institutes and industries, which work closely together in 15 technical work packages and five supporting work packages covering the entire value chain from materials to components and systems. As time progresses, the centre of gravity of the Flagship moves towards applications, which is reflected in the increasing importance of the higher - system - levels of the value chain. In this first core project the main focus is on components and initial system level tasks. The first core project is divided into 4 divisions, which in turn comprise 3 to 5 work packages on related topics. A fifth, external division acts as a link to the parts of the Flagship that are funded by the member states and associated countries, or by other funding sources. This creates a collaborative framework for the entire Flagship.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-24-2015 | Award Amount: 4.00M | Year: 2016
The crowning achievement of human communication is our unique ability to share intentionality, create and execute on joint plans. Using this paradigm we model human-robot communication as a three step process: sharing attention, establishing common ground and forming shared goals. Prerequisites for successful communication are being able to decode the cognitive state of people around us (mindreading) and building trust. Our main goal is to create robots that analyze and track human behavior over time in the context of their surroundings (situational) using audio-visual monitoring in order to establish common ground and mind-reading capabilities. On BabyRobot we focus on the typically developing and autistic spectrum children user population. Children have unique communication skills, are quick and adaptive learners, eager to embrace new robotic technologies. This is especially relevant for special eduation where the development of social skills is delayed or never fully develops without intervention or therapy. Thus our second goal is to define, implement and evaluate child-robot interaction application scenarios for developing specific socio-affective, communication and collaboration skills in typically developing and autistic spectrum children. We will support not supplant the therapist or educator, working hand-in-hand to create a low risk environment for learning and cognitive development. Breakthroughs in core robotic technologies are needed to support this research mainly in the areas of motion planning and control in constrained spaces, gestural kinematics, sensorimotor learning and adaptation. Our third goal is to push beyond the state-of-the-art in core robotic technologies to support natural human-robot interaction and collaboration for edutainment and healthcare applications. Creating robots that can establish communication protocols and form collaboration plans on the fly will have impact beyond the application scenarios investigated here.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: GV-02-2016 | Award Amount: 3.75M | Year: 2016
The PEMs4Nano project (P4N) addresses the development (based on current direct injection gasoline engines) of measurement procedures down to 10nm, providing a contribution to future regulation on particle emissions, in particular in real driving conditions. The activities planned in the project will also support the understanding, measurement and regulation of particle emissions below 23 nm (with the threshold of at least 10 nm). Societal concerns for the environment include both fuel consumption and noxious emissions, as well as the awareness that meeting CO2-goals with newest technologies may also lead to the emission of smaller nanoparticles that are undetected by current certification procedures. Hence P4N has the goal to develop measurement procedures that are robust and reliable for both the development of the new engine technologies, as well as serving as a solid basis for new regulations. This has the advantage of establishing a solid content link between development activities and regulation. Two complementary measurement systems will be optimized for use in the development laboratory and for mobile testing based on current technologies. Given the numerous parameters associated with the engine (combustion and exhaust systems) technologies and measurement procedures; physico-chemical and data-driven simulations combined with optimization is proposed to establish valuable correlations between measurements made in the development laboratory and thus finally those measured on the road. PEMs4nano thus proposes a two path approach that connects tailpipe measurements with the origin and the evolution of the particles, resulting in a seamless approach from the laboratory to the field test capabilities. Investigations of particle characteristics (incl.composition, size and morphology) and their influence on successful measurements will also be carried out using various load profiles that make up real-driving to validate the application of the measurement procedure
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2016 | Award Amount: 2.19M | Year: 2017
TEMPERA will provide international, intersectoral and interdisciplinary state-of-the-art doctoral training to prepare the next generation of specialists in mass spectrometry-based ancient protein residues analysis for biomolecular diagnostics and conservation of cultural heritage material. Due to their chemical and mechanical properties, proteins have always represented the category of biomolecules most extensively exploited by humans to satisfy basic needs, including: nutrition, clothing, sheltering and transportation. However presently there are very few specialists that have been trained to analyse ancient proteins, in stark contrast to the study of ancient DNA. The growing demand of information provided by mass spectrometry-based ancient protein sequencing will require highly specialised profiles with a multidisciplinary background in analytical chemistry, engineering, molecular biology, archaeology and art restoration. Within the TEMPERA network, a team of talented young scientists from both experimental sciences and cultural heritage conservation disciplines will be created and prepared to become a group of highly qualified specialists. The TEMPERA network aims at: (i) forming, through research-based training, the professional profiles behind tomorrows state-of-the-art analysis of ancient proteins from cultural heritage materials, (ii) consolidating existing constructive interaction across disciplines to focus different expertise and backgrounds into the common aim of safeguarding and enhancing European cultural heritage, (iii) stimulating, through the right set of specific research-related and transferable skills, the development of application-oriented mind set for direct or indirect exploitation of TEMPERA R&D activities. As a key TEMPERA feature, the unique contribution provided by each participating institution will be integrated in a strong partnership to achieve valuable complementary research-specific and widely transferrable professional competence.