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Plan4RES is a collaborative research and innovation project which aims at developing an end-to-end planning tool to successfully increase the share of renewable energy into the European Energy system without compromising on system reliability. The targeted platform will account for the Pan-European interconnected electricity system, potential synergies with other energy systems, emerging technologies and flexibility resources, providing a fully integrated modelling environment. Moving away from a monolithic approach will enable to overcome mathematical and computational challenges. The objective is to strive towards a system where a multiplicity of models, properly organized in a functional hierarchy, synergistically contribute to the analysis of such complex systems. Targeting all main stakeholders of the power system, from generation to retail through grid operators, this innovative modelling platform will deliver a full system planning capability while considering a large set of future uncertainties, thus acting as a decision making tool for future investments. Allocation of multi-energy resources, system flexibility, assets portfolio assessment, advanced ancillary services or impact assessment of regulation are among the key features that the tool will deliver. Three case studies will provide the necessary validation of the platform, showing the adequacy and relevance of the developed modelling framework, especially key advances included in Plan4Res (multi-energy integration, investment planning under uncertainties, TSO/DSO flexibility Cost integration…) and data base. Those studies, performed on a European scale, will also demonstrate the efficiency of the modelling and solving of the tool. Moreover, the case studies will demonstrate the benefit of using tailored versions of Plan4Res for various stakeholders: multi technology provider, TSO, utility or energy provider.
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The overall objective of MobiDataLab is to propose to the mobility stakeholders (transport organising authorities, operators, industry, innovators) a replicable methodology and sustainable tools that foster the development of a data sharing culture in Europe and beyond. MobiDataLab is based on a continuous co-development of knowledge and of technical solutions for data sharing with high involvement of all data producers and consumers in the transport and mobility landscape. This will be put in action through problem-solving oriented Labs, the collection and analysis of advice and recommendations of experts and supporting cities/regions/clusters/associations aided by the incremental construction of a cross-thematic knowledge base and of a cloud-based service platform, which will federate access and usage of data sharing resources. MobiDataLab leverages on the legal, technological and economic opportunities to: - present mobility data providers with recommendations on how to improve the quality, accessibility and usability of their data - how to describe them, how to store them safely and securely, how to make them available, easy to find, and understandable; - encourage the reuse of these data and foster users’ trust in the data, contributing to the development and promotion of open tools to the community of innovators; - bring together mobility stakeholders (both data providers and data consumers) to find innovative solutions to concrete problems, using open data as a tool. The MobiDataLab consortium is formed by 10 partners from Industry, Research, Academia, Consultancy and Governance sectors, located in 7 countries. The consortium shares a common view on the values and benefits of open data and open source principles for fostering independence and uptake by communities. The MobiDataLab yet young-and-emerging group of supporting parties allows to consider replicability of approach and results in many more countries, including beyond EU.
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Cars capture and generate huge volumes of data in real-time about the driving dynamics, the environment, and the driver and passengers’ activities. With greater proliferation of connected and automated mobility applications, the value of data from vehicles is getting strategic not just for the automotive industry but in a wider scope, and not limited to the onboard systems and services. 5GMETA open platform aims to leverage car-captured data to stimulate, facilitate and feed with them innovative products and services. The result of 5GMETA will empower the automotive ecosystem from industry players to new entrants, such as SMEs and high-tech start-ups granting access to interoperable car-captured data according to data licenses. The access to data coming from relevant geographical regions will catalyse the generation of new opportunities and business models coming from valuable services, where data liability and billing will rely on accountability dashboard of dataflow subscription and volume consumption. 5GMETA expands 5G network functions to enable data monetization with a secure and private pipeline that manages data computing, dataflows according to service subscriptions and geographic queries. 5GMETA will realise representative demonstrators in terms of data heterogeneity, value creation and business models to ensure that third parties and new players’ interests and requirements are considered beyond traditional automotive industries. 5GMETA will focus on technology transfer activities performing different dissemination, tutorials and hackathons to incubators and clusters to capture attention of SMEs and high-tech start-ups with a platform leading to new opportunities in an incoming profitable market.
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The automotive industry has made a substantial effort in recent years in developing powertrain technologies to improve fuel efficiency on Heavy-Duty Vehicles (HDVs). Due to increasing road freight traffic, however, projections indicate that total HDV energy use and CO2 emissions are expected to remain stable at the current level over the long term, if no policy action is taken. This is clearly incompatible with the goal of reducing greenhouse gas emissions from transport by around 60% below 1990 levels by 2050. The overall objective of optiTruck is to further improve energy efficiency by at least 20% on Euro VI HDVs (40t). To achieve this, optiTruck will develop a global optimiser which brings together the most advanced technologies from powertrain control and intelligent transport systems, with a number of innovative and complementary elements to maximise the potential utilisation of individual innovations. Through real driving trials, optiTruck will demonstrate this objective, taking account road topography, traffic and weather condition, vehicle configuration and transport mission. optiTruck will develop a comprehensive impact assessment methodology to extend this local and small-scale demonstration to a wider evaluation to explore potential benefits of using the rich cloud data sources and powerful computing facilities for fast-than-real-time modelling and simulation. It will also take account of social equity, economic, and environmental factors in the assessment to address the main societal challenges for the sector. optiTruck will facilitate the creation of a global platform not only for exchanging existing knowledge between automotive industries, but also for promoting horizontal collaboration in new ways essential for wider uptake of energy saving solutions across the sector, Europe and the world, which is the ultimate goal the optiTruck partners strive to achieve within and beyond this project.
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