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ADVANTIC

ADVANTIC SISTEMAS Y SERVICIOS
Country: Spain
24 Projects, page 1 of 5
  • Funder: European Commission Project Code: 101058179
    Overall Budget: 12,040,900 EURFunder Contribution: 8,939,320 EUR

    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.

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  • Funder: European Commission Project Code: 820985
    Overall Budget: 5,729,750 EURFunder Contribution: 4,999,980 EUR

    NAIADES Ecosystem envisions transforming water sector through automated and smarter water resource management and environmental monitoring, achieving a high level of water services in both residential or commercial consumers, exploiting the efficient use of physical and digital components of water ecosystem. NAIADES will apply in various situations on diverse big data in terms of sources, data types, and entities represented that is collected by such water monitoring and control systems in Europe, including (i) the water consumption in both retail and corporation efficiency, (ii) the confidence of water consumers (including special groups as ageing, disabled persons and children), by measuring the water quality in residential buildings, offices and public infrastructures (mall, hospital), (iii) the safety and reliability through the detection of warning signs from equipment failures and maintenance report, and (iv) personalized persuasive feedback and recommendation services provided to the NAIADES App Users aiming to enhance public awareness on water consumption and usage savings, and promote user engagement in water conservation activities. NAIADES AI elements, aim to provide multidimensional intelligence on the water ecosystem by introducing: Situational Intelligence - by collecting real-time data from the buildings as they are in operation and analysing it in three different dimensions; Spatial, Temporal and Nodal; Operational intelligence - by using the power of data and its capability to extract the right information at the right time to provide insight into water infrastructure operation and improve the effectiveness of maintenance activities; Asset intelligence: the continuous data streams produced from various sub-systems in buildings will help OEMs build digital twins that represent physical systems in real-time. NAIADES ecosystem will be validated and demostrated in three heterogeneous pilot sites.

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  • Funder: European Commission Project Code: 269354
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  • Funder: European Commission Project Code: 619795
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  • Funder: European Commission Project Code: 258888
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