
LABORELEC
LABORELEC
45 Projects, page 1 of 9
Open Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2029Partners:MARASOFT B.V., ENERGIE DE LA LUNE, RWTH, LABORELEC, OCEAN ENERGY EUROPE +4 partnersMARASOFT B.V.,ENERGIE DE LA LUNE,RWTH,LABORELEC,OCEAN ENERGY EUROPE,MARASOFT B.V.,OCEAN ENERGY EUROPE,LABORELEC,ENERGIE DE LA LUNEFunder: European Commission Project Code: 101136085Overall Budget: 3,653,620 EURFunder Contribution: 3,192,720 EURThere is 10GW of predictable, high-value tidal stream energy potential in European waters, with up to 100 GW of capacity globally . This is an almost entirely unharnessed clean energy resource, with just 13 MW currently deployed . Transitioning European market leading technologies from single deployments, up to farm scale, is the next milestone in harnessing this clean, predictable, secure, domestic energy resource. EURO-TIDES has been developed specifically to address the call topic by delivering a 9.6MW farm of four 2.4MW Orbital tidal energy devices of the same series. The farm will operate in full operational conditions for 15 years, deploying in 2027. The EURO-TIDES consortium will work collaboratively to deliver six ambitious objectives and drive the sector forwards: 1. De-risking tidal energy technology development by delivering a 9.6MW pilot farm and three pilot farm system innovations; reducing Levelised Cost of Energy (LCOE) of Orbital’s floating tidal technology from €120/MWh to <€100/MWh. 2. Increase bankability and insurability by providing 17,520 hours of operational data, displaying the production of 50GWh+, and verification of key technology metrics to internationally recognised methodologies: reducing cost of capital from 10%-12% to 5%-6%. 3. Increase availability of tidal stream by creating an efficient robust, replicable, and reliable operations and maintenance programme: increasing availability to 95%+. 4. Improve market confidence by developing industrial design and manufacturing processes: increasing supply chain capacity from one device per annum to 80 devices per annum. 5. Increase knowledge of environmental impacts to ensure appropriate environmental protection and mitigation is in place: enabling safe scalability to a 100GW+ global market. 6. Making performance, reliability and behavior data collected from the demonstration publicly available: accelerating scalability, commercialisation, and deployment of a 2GW+ project pipeline.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2028Partners:MARASOFT B.V., TECNALIA, MARASOFT B.V., LABORELEC, TECHNIPFMC +5 partnersMARASOFT B.V.,TECNALIA,MARASOFT B.V.,LABORELEC,TECHNIPFMC,TECNALIA,EUCIA,EUCIA,LABORELEC,TECHNIPFMCFunder: European Commission Project Code: 101096891Overall Budget: 1,755,640 EURFunder Contribution: 1,373,890 EURThe MAXBlade project will specifically focus on delivering a 70% increase in rotor swept area of the technology by addressing design, reliability, condition monitoring, maintenance and control issues relating to tidal turbine blades. All of these issues have to date been insufficiently addressed for tidal turbine blades and need to be holistically tackled to reach a site-averaged 30/MWh cost reduction in tidal stream energy, while maturing the technology to address barriers around investment attractiveness. The project also anticipates significant challenges and expected legislative requirements around applying circular economy principles to tidal stream turbine blades in pursuit of a net zero generation sector. With a close interface between blade design and testing activities, the project addresses a comprehensive circular economy roadmap for tidal turbine blades, including advancing the potential of recyclable thermoplastic resins for use in the composite blades. The project also progresses initiatives to ensure that the European composite sectors become the international leader in tidal blade manufacture through knowledge transfer, practical engagement in the blade production design and identifying and addressing barriers to increasing European supplier capacity. The project will consist of a 2-year design and development phase, an 18-month build, followed by a 2-year performance verification through the build of a tidal array of at least two units (c. 5MW), ensuring that 8 blades (4 rotors) are tested providing cumulatively 120,000 hours of rotor performance data.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2020 - 2023Partners:MODELARDATA APS, PERCEPTION DYNAMICS LIMITED, IBM (Ireland), IBM (Ireland), ARC +7 partnersMODELARDATA APS,PERCEPTION DYNAMICS LIMITED,IBM (Ireland),IBM (Ireland),ARC,LABORELEC,LABORELEC,PERCEPTION DYNAMICS LIMITED,ARC,AAU,INACCESS NETWORKS,INACCESS NETWORKSFunder: European Commission Project Code: 957345Overall Budget: 3,720,550 EURFunder Contribution: 3,720,550 EURThe widespread use of sensor and IoT devices is generating huge volumes of time series data in various industries like finance, energy, factories, medicine, manufacturing and others. Industries use these data for monitoring, but their main potential is still untapped. Existing techniques and software for time series management do not provide tools sufficiently scalable and sophisticated for managing the huge volumes of data or adequate forecasting, prediction and diagnostics. MORE will create a platform that will address the technical challenges in time series and stream management, focusing on the RES industry. MORE’s platform will introduce an architecture that combines edge computing and cloud computing to be able to guarantee both responsiveness and provide sophisticated analytics simultaneously. This architecture will be combined with the usage of time series summarization techniques, or as we more accurately term them in MORE, modelling techniques for sensor data. Models are any compressed representations that allow the reconstruction of the original data points of a time series (e.g. a linear function) within a known error-bound (possibly zero). This approach has synergies with the edge computing approach, since summarization can be done at the edge, reducing the load in the whole data processing pipeline. MORE will introduce advanced analytics tools for prediction, forecasting and diagnostics based on two technological directions: machine learning and pattern extraction, with emphasis to motifs, which is the state-of-the-art for time series. MORE will adjust these techniques to work directly on models of data, thus enabling them to scale beyond state-of-the-art. The ability to ingest huge volumes of data will have an important impact to the accuracy of the prediction and diagnostics models.
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications assignment_turned_in Project2016 - 2019Partners:HHL GEMEINNUTZIGE GMBH, EIFER, LABORELEC, ENAGAS, DTU +8 partnersHHL GEMEINNUTZIGE GMBH,EIFER,LABORELEC,ENAGAS,DTU,SolydEra SA,VDZ Technology gGmbH,LETI,IREC,LABORELEC,EIFER,EPFL,ENAGASFunder: European Commission Project Code: 699892Overall Budget: 3,239,140 EURFunder Contribution: 2,500,510 EURThe overall goal of ECo is to develop and validate a highly efficient co-electrolysis process for conversion of excess renewable electricity into distributable and storable hydrocarbons via simultaneous electrolysis of steam and CO2 through SOEC (Solid Oxide Electrolysis Cells) thus moving the technology from technology readiness level (TRL) 3 to 5. In relation to the work program, ECo will specifically: • Develop and prove improved solid oxide cells (SOEC) based on novel cell structure including electrode backbone structures and infiltration and design of electrolyte/electrode interfaces to achieve high performances and high efficiencies at ~100 oC lower operating temperatures than state-of-the-art in order to reduce thermally activated degradation processes, to improve integration with hydrocarbon production, and to reduce overall costs. • Investigate durability under realistic co-electrolysis operating conditions that include dynamic electricity input from fluctuating sources with the aim to achieve degradation rates below 1%/1000 h at stack level under relevant operating conditions. • Design a plant to integrate the co-electrolysis with fluctuating electricity input and catalytic processes for hydrocarbon production, with special emphasis on methanation (considering both external and internal) and perform selected validation tests under the thus needed operating conditions. • Test a co-electrolysis system under realistic conditions for final validation of the obtained results at larger scale. • Demonstrate economic viability for overall process efficiencies exceeding 60% using results obtained in the project for the case of storage media such as methane and compare to traditional technologies with the aim to identify critical performance parameters that have to be improved. Perform a life cycle assessment with CO2 from different sources (cement industry or biogas) and electricity from preferably renewable sources to prove the recycling potential of the concept
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For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2026Partners:DLR, ARTTIC INNOVATION GMBH, NTUA, SMURFIT WESTROCK PAPER SERVICES B.V., ENGIE COFELY +9 partnersDLR,ARTTIC INNOVATION GMBH,NTUA,SMURFIT WESTROCK PAPER SERVICES B.V.,ENGIE COFELY,STATOIL PETROLEUM,Siemens Energy,LABORELEC,ENGIE COFELY,LABORELEC,STATOIL PETROLEUM,SMURFIT WESTROCK PAPER SERVICES B.V.,Siemens Energy,ARTTIC INNOVATION GMBHFunder: European Commission Project Code: 101138002Overall Budget: 7,073,280 EURFunder Contribution: 4,442,550 EURHyCoFlex is aiming at the development of a retrofitable decarbonisation package for cogeneration of power and industrial heat with 100%-fired gas turbines. The solution will be integrated and fully demonstrated at an industrial site in Saillat-sur-Vienne in France. HyCoFlex will leverage on and further advance the infrastructure of a power-to-hydrogen-to-power industrial scale plant which was developed and demonstrated within the HYFLEXPOWER project. The project will develop operational flexibility capabilities and protocols to satisfy the typical operating profiles experienced by industrial cogeneration plants. By doing so, HyCoFlex will elaborate credible pathways for upscaling and replicating the retrofit package, ultimately accelerating the achievement of industrial and energy sector decarbonisation. In order to meet the global objective, within the HyCoFlex project, the HYFLEXPOWER plant concept and infrastructure will be implemented for 100% H2-fuelled cogeneration. In the framework of the project a Siemens Energy SGT-400 gas turbine will be upgraded with an advanced dry low-emission (DLE) H2 combustion system to operate with different natural gas / H2 fuel mixtures. The retrofitted demonstrator plant will be validated for flexible operation under various natural gas/hydrogen mixtures and loads, while aiming at overcoming state-of-the-art efficiencies with decreased NOx emissions. Finally, HyCoFlex will explore pathways for upscaling and commercialization of decarbonised power generation from gas turbines within a circular-economy framework.
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