Data and Information Management

  • Modeling and Simulation for Engineering Applications

    Project dates: 01. Jan 2019 - 30. Sep 2024

    Objective

    The project Modelling and Simulation for Engineering Applications (SimEA) aims to consolidate and upgrade the Computation-based Science and Technology Research Center (CaSToRC) of the Cyprus Institute (CyI) by attracting and establishing a team of outstanding researchers, led by a Professor of international caliber to maximally utilize and upgrade the existing facilities and pursue a program of research excellence and innovation. The SimEA ERA Chair will expand the research portfolio of CaSToRC to include computation-based engineering adding the missing technology leadership, collaborate with other research groups in Cyprus, the Eastern Mediterranean (EM) and internationally, enrich the educational programs of CaSToRC and CyI and set the appropriate mechanisms to forge collaboration with industry. The alignment of these objectives with the Cyprus smart specialization strategy and European priorities in Energy, Health and Information Technologies provides previously untapped funding opportunities for CaSToRC that would help sustain the team beyond the lifetime of the project. CyI strongly supports the creation of the ERA Chair by pledging a tenured faculty position and a grant of 700,000 Euro for infrastructure upgrades to best serve the research and innovation programs of the project. The international character and interdisciplinary environment of CyI, its strong funding track record, the attractive remuneration, job security and infrastructure grant offered are key elements that conduce to attracting an ERA Chair of the highest international standing. In turn, such a scholar will build a vibrant research group, bring competitive funding and spearhead entrepreneurship and industrial collaboration consolidating CaSToRC as a hub for computational science and engineering in Cyprus and the EM in alignment with the center’s mission to help the nation transform to a knowledge-based economy and to act as a gateway for advanced computing between Europe and the EM region.

    Partners

    Number of partners: 1
    Site numbers:

    THE CYPRUS INSTITUTE

    Key Exploitable Results

    • TRL

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  • BIM-based holistic tools for Energy-driven Renovation of existing Residences

    Project dates: 01. Jan 2019 - 30. Sep 2022

    Objective

    Building Information Modelling is a critical element in the digitalization of the construction industry, which is necessary in order to unleash huge efficiency and productivity improvements. BIMERR will design and develop a Renovation 4.0 toolkit which will comprise tools to support renovation stakeholders throughout the renovation process of existing buildings, from project conception to delivery. It comprises tools for the automated creation of enhanced building information models, a renovation decision support system to aid the designer in exploring available renovation options through an the accurate estimation of renovation impact on building performance as well as a process management tool that will optimize the design and on-site construction process toward optimal coordination and minimization of renovation time and cost. At the heart of the BIMERR toolkit lies an interoperability framework, which will enforce semantic interoperability among BIMERR tools as well as with third-party legacy ICT tools to enable seamless BIM creation and information exchange among AEC stakeholders in an effort to enhance the rapid adoption of BIM in renovation of the existing EU building stock. The BIMERR toolkit will be validated and demonstrated in 4 buildings in 3 European Member States. Two buildings will be used for pre-validation and implementation refinement and the refined BIMERR toolkit will support the actual renovation design and works in one residential building in Poland and a second one in Spain. The assessment and evaluation of the BIMERR toolkit after these real-life activities will feed material into two supporting horizontal project activities: i) dissemination and exploitation of project outcomes through the creation of best practice examples of BIMERR use that will guide further replication effort, and ii) promotion of BIMERR outcome to the most relevant standardization bodies.

    Partners

    Number of partners: 18
    Site numbers:

    NOVITECH AS

    ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS

    GLASSUP SRL

    EXERGY LTD

    • Partner
    • EXERGY LTD
    • United Kingdom
    • Budget: 72, 249.703125

    HYPERTECH (CHAIPERTEK) ANONYMOS VIOMICHANIKI EMPORIKI ETAIREIA PLIROFORIKIS KAI NEON TECHNOLOGION

    UBITECH LIMITED

    HERIOT-WATT UNIVERSITY

    BUDIMEX SPOLKA AKCYJNA

    ANONYMOS ETAIREIA KATASKEVON-TECHNIKON ERGON, EMPORIKON, VIOMICHANIKONKAI NAUTILIAKON EPICHEIRISEON KON'KAT

    XYLEM SCIENCE AND TECHNOLOGY MANAGEMENT GMBH

    UNIVERSITY COLLEGE LONDON

    UNIVERSIDAD POLITECNICA DE MADRID

    THE UNIVERSITY OF EDINBURGH

    BOC ASSET MANAGEMENT GMBH

    Partner Others

    MERIT CONSULTING HOUSE

    MERIT CONSULTING HOUSE - OLOKRIROMENES SYMVOULEFTIKES IPIRESIES EPIXEIRISEON IDIOTIKI KEFALAIOUXIKI ETAIREIA

    ICT providers

    SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED

    Research & Innovation

    UNIVERSITY OF PELOPONNESE

    Key Exploitable Results

    • TRL

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  • Remote Building Analytics platform for Utilities to deliver large-scale efficiency to SMEs and commercial portfolios

    Project dates: 01. Feb 2015 - 30. Apr 2015

    Objective

    Energy optimization is a challenge driven by high energy costs and the increasingly stringent regulatory framework. The characterization of inefficiencies in buildings typically requires complex and costly on-site audits performed by energy management experts, hindering the adoption of energy efficiency measures by small and medium-sized energy consumers, among them many SMEs. Our current web-based software customers have requested artificial intelligence capabilities in our software platform allowing personalized recommendations to be issued remotely by the system to end users. RemBAP is the answer to this demand. It will significantly simplify and reduce the implementation and maintenance costs of efficiency optimization and constitutes a strategic development for our company, DEXMA. Energy use optimization has become a priority driven by high energy costs and the increasingly stringent regulatory framework. DEXMA is already helping hundreds of medium-sized end-users worldwide reduce consumption through bill tracking, monitoring of utility meters, data analysis and savings verification with our web based energy management software. As a response to customer demand, this project aims at integrating advanced analytics to our DEXCell software platform allowing for remote recommendations to be issued, significantly simplifying the process and reducing the implementation costs of energy efficiency management. The proposed innovation will allow DEXMA to reach a much higher number of end users, substantially increasing the company’s revenue, creating new jobs and ultimately contributing to large scale energy efficiency. Our main objective for Phase 1 is to evaluate the feasibility of the additional technical developments and to outline the feasibility and strategy for commercialization in different market sectors.

    Partners

    Number of partners: 1
    Site numbers:

    DEXMA SENSORS SL

    Key Exploitable Results

    • TRL

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  • Energy efficiency Data Protocol and Portal

    Project dates: 01. Mar 2018 - 31. Aug 2020

    Objective

    Despite some progress has been made in green finance, only a fraction of bank lending and funding (securities) is explicitly classified as green. The lack of standardisation (in terms of reporting definitions and dynamic data sets) hinders transparency, viability and risk assessment and it is thus a major obstacle to the development of the market. There is a huge and urgent need of a standardised approach to “green due diligence”.
    The EeDaPP Project intends to deliver large-scale, granular technical and financial data related to energy efficient mortgages by way of a standardised data protocol to be accessed through a common, centralised portal.
    Three key outputs will be: the definition of specific reporting criteria for the gathering of data on energy efficient mortgages; the design and delivery of the standardised protocol for the gathering, processing and disclosing of such data, and the design of a centralised portal; the analysis of data gathered to further integrate ‘green value’ in property valuation and substantiate the correlation between energy efficiency and risk.In this way, the EeDaPP Project builds on and complements the ongoing EeMAP Project, which is intended to design an energy efficient mortgage financing mechanism.
    The EeDaPP Project will boost the green securities market in terms of size, liquidity and efficiency by providing for the traceability of the performance of energy efficient assets, allowing for the identification of such assets for the purposes of energy efficient covered bond/bond issuance and potentially other derivatives, and by significantly boosting investor confidence in such securities. EeDaPP has also long-term potential to scale-up the expected impacts of the EeMAP Project to encourage significant energy reductions.
    The EeDaPP Consortium brings together all the necessary competencies (financial, data processing and management, property valuation) to develop a robust, workable and marketable pan-European data protocol & portal.

    Partners

    Number of partners: 7
    Site numbers:

    TXS GMBH

    • Partner
    • TXS GMBH
    • Germany
    • Budget: 200, 000

    Hypoport BV

    CRIF SPA

    • Partner
    • CRIF SPA
    • Italy
    • Budget: 200, 000

    UNIVERSITA CA' FOSCARI VENEZIA

    JOHANN WOLFGANG GOETHE-UNIVERSITAET FRANKFURT AM MAIN

    EUROPEAN DATAWAREHOUSE GMBH

    COVERED BOND & MORTGAGE COUNCIL

    Key Exploitable Results

    • TRL

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  • Digital PLAtform and analytic TOOls for eNergy

    Project dates: 01. Jan 2020 - 31. Dec 2022

    Objective

    The digitalization of the energy sector enables higher levels of operational excellence with the adoption of disrupting technologies. The Energy Big Data framework of the modern smart energy networks provides an ideal ecosystem for knowledge exploitation from data. PLATOON pretends to deploy distributed/edge processing and data analytics technologies for optimized real-time energy system management in a simple way for the energy domain expert. The data governance among the different stakeholders for multi-party data exchange, coordination and cooperation in the energy value chain will be guaranteed through IDS based connectors. The project will develop and use the PLATOON reference architecture, COSMAG-compliant, for building and deploying scalable and replicable energy management solutions that contribute to increased renewable energy consumption, smart grids management, increased energy efficiency and optimised energy asset management. The PLATOON architecture and components are valuable for the different stakeholders of energy sector value chain, starting from electricity supplier, passing through the distributor, the aggregator, the ESCo until the End User. the project will be validated in 7 pilots of 4 countries that provide real Energy Big Data cases. It proposes to build the solution based on existing European standards and initiatives for managing the pilots’ data, for the access, models, interfaces, governance and sovereignty. It also foresees to report back the results to the different standardization working groups. PLATOON will facilitate the technology transfer into the market by a well established tendering process through Open Calls. The project will reinforce the European efforts for modernisation of the European electricity grid, because it focuses the attention to new smart grids services through data knowledge exploitation. Finally, the project will offer access to cheaper and sustainable energy for energy consumers and maximise social welfare.

    Partners

    Number of partners: 19
    Site numbers:

    SISTEPLANT SL

    ROMA CAPITALE

    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

    FUNDACION TECNALIA RESEARCH & INNOVATION

    VRIJE UNIVERSITEIT BRUSSEL

    CLUSTER DE ENERGIA

    FUNDINGBOX ACCELERATOR SP ZOO

    RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN

    MANDAT INTERNATIONAL ALIAS FONDATION POUR LA COOPERATION INTERNATIONALE

    TECHNISCHE INFORMATIONSBIBLIOTHEK (TIB)

    UDG ALLIANCE

    POSTE ITALIANE - SOCIETA PER AZIONI

    INSTITUT MIHAJLO PUPIN

    POLITECNICO DI MILANO

    INDRA SOLUCIONES TECNOLOGIAS DE LA INFORMACION SL

    SAMPOL INGENIERIA Y OBRAS S.A.

    ENGINEERING - INGEGNERIA INFORMATICA SPA

    COMSENSUS, KOMUNIKACIJE IN SENZORIKA, DOO

    GIROA SOCIEDAD ANONIMA

    Key Exploitable Results

    • TRL

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  • HPC for Energy

    Project dates: 01. Dec 2015 - 30. Nov 2017

    Objective

    This project aims to apply the new exascale HPC techniques to energy industry simulations, customizing them, and going beyond the state-of-the-art in the required HPC exascale simulations for different energy sources: wind energy production and design, efficient combustion systems for biomass-derived fuels (biogas), and exploration geophysics for hydrocarbon reservoirs.
    For wind energy industry HPC is a must. The competitiveness of wind farms can be guaranteed only with accurate wind resource assessment, farm design and short-term micro-scale wind simulations to forecast the daily power production. The use of CFD LES models to analyse atmospheric flow in a wind farm capturing turbine wakes and array effects requires exascale HPC systems.
    Biogas, i.e. biomass-derived fuels by anaerobic digestion of organic wastes, is attractive because of its wide availability, renewability and reduction of CO2 emissions, contribution to diversification of energy supply, rural development, and it does not compete with feed and food feedstock. However, its use in practical systems is still limited since the complex fuel composition might lead to unpredictable combustion performance and instabilities in industrial combustors. The next generation of exascale HPC systems will be able to run combustion simulations in parameter regimes relevant to industrial applications using alternative fuels, which is required to design efficient furnaces, engines, clean burning vehicles and power plants.
    One of the main HPC consumers is the oil & gas (O&G) industry. The computational requirements arising from full wave-form modelling and inversion of seismic and electromagnetic data is ensuring that the O&G industry will be an early adopter of exascale computing technologies. By taking into account the complete physics of waves in the subsurface, imaging tools are able to reveal information about the Earth’s interior with unprecedented quality.

    Partners

    Number of partners: 8
    Site numbers:

    INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET AUTOMATIQUE

    TOTAL S.A.

    CENTRO DE INVESTIGACIONES ENERGETICAS, MEDIOAMBIENTALES Y TECNOLOGICAS-CIEMAT

    REPSOL SA

    IBERDROLA RENOVABLES ENERGIA SA

    UNIVERSITY OF LANCASTER

    QUEEN MARY UNIVERSITY OF LONDON

    BARCELONA SUPERCOMPUTING CENTER-CENTRO NACIONAL DE SUPERCOMPUTACION

    Key Exploitable Results

    • TRL

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  • Big Energy Data Value Creation within SYNergetic enERGY-as-a-service Applications through trusted multi-party data sharing over an AI big data analytics marketplace

    Project dates: 01. Jan 2020 - 30. Jun 2023

    Objective

    The transition to the smart grid era is associated with the creation of a meshed network of data contributors that necessitates for the transformation of the traditional top-down business model, where power system optimization relied on centralized decisions based on data silos preserved by stakeholders, to a more horizontal one in which optimization decisions are based on interconnected data assets and collective intelligence. Consequently, the need for “end-to-end” coordination between the electricity stakeholders, not only in business terms but also in exchanging information is becoming a necessity to enable the enhancement of electricity networks’ stability and resilience, while satisfying individual business process optimization targets of all stakeholders involved in the value chain. SYNERGY introduces a novel reference big data architecture and platform that leverages data, primary or secondarily related to the electricity domain, coming from diverse sources (APIs, historical data, statistics, sensors/ IoT, weather, energy markets and various other open data sources) to help electricity stakeholders to simultaneously enhance their data reach, improve their internal intelligence on electricity-related optimization functions, while getting involved in novel data (intelligence) sharing/trading models, in order to shift individual decision-making at a collective intelligence level. To this end SYNERGY will develop a highly effective a Big Energy Data Platform and AI Analytics Marketplace, accompanied by big data-enabled applications for the totality of electricity value chain stakeholders (altogether integrated in the SYNERGY Big Data-driven EaaS Framework). SYNERGY will be validated in 5 large-scale demonstrators, in Greece, Spain, Austria, Finland and Croatia involving diverse actors and data sources, heterogeneous energy assets, varied voltage levels and network conditions and spanning different climatic, demographic and cultural characteristics.

    Partners

    Number of partners: 23
    Site numbers:
    5

    Energy Suppliers

    ETAIREIA PAROHIS AERIOU ATTIKIS MONOPROSOPI ELLENIKI ETAIREIA ENERGEIAS

    DSOs

    ENERGIE GUSSING GMBH

    MONTAJES ELECTRICOS CUERVA S.L.

    DIACHEIRISTIS ELLINIKOU DIKTYOU DIANOMIS ELEKTRIKIS ENERGEIAS AE

    Research & Innovation

    FUNDACION CIRCE CENTRO DE INVESTIGACION DE RECURSOS Y CONSUMOS ENERGETICOS

    TEKNOLOGIAN TUTKIMUSKESKUS VTT OY

    UNIVERSITY OF CYPRUS

    INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS

    Power technology providers

    CAVERION SUOMI OY

    KONCAR - INZENJERING ZA ENERGETIKUI TRANSPORT DD

    Partner Others

    FORUM VIRIUM HELSINKI OY

    GECO GLOBAL APS

    ICT providers

    KNOWLEDGEBIZ CONSULTING-SOCIEDADE DE CONSULTORIA EM GESTAO LDA

    SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED

    GIOUMPITEK MELETI SCHEDIASMOS YLOPOIISI KAI POLISI ERGON PLIROFORIKIS ETAIREIA PERIORISMENIS EFTHYNIS

    ENERGY SERVICES HANDELS- UND DIENSTLEISTUNGS GMBH

    MAGGIOLI SPA

    Local Energy Communities

    PONIKVE EKO OTOK KRK DOO ZA KOMUNALNE DJELATNOSTI

    EUROPAISCHES ZENTRUM FUR ERNEUERBARE ENERGIE GUSSING GMBH

    Aggregators

    ELIN VERD ANONYMI ETAIRIA AEIFORONPROIONTON KAI YPIRESION

    SISTEMAS URBANOS DE ENERGIAS RENOVABLES SL

    Storage providers

    COBRA INSTALACIONES Y SERVICIOS S.A

    TSOs

    INDEPENDENT POWER TRANSMISSION OPERATOR SA

    Key Exploitable Results

    • TRL

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  • Advanced Analytics to Empower the Small Flexible Consumers of Electricity

    Project dates: 01. Feb 2018 - 31. Jul 2023

    Objective

    David against Goliath: Could small consumers of electricity compete in the wholesale markets on equal footing with the other market agents? Yes, they can and FlexAnalytics will show how. Activating the demand response, although a major challenge, may also bring tremendous benefits to society, with potential cost savings in the billions of euros. This project will exploit methods of inverse problems, multi-level programming and machine learning to develop a pioneering system that enables the active participation of a group of price-responsive consumers of electricity in the wholesale electricity markets. Through this, they will be able to make the most out of their flexible consumption. FlexAnalytics proposes a generalized scheme for so-called inverse optimization that materializes into a novel data-driven approach to the market bidding problem that, unlike existing approaches, combines the tasks of forecasting, model formulation and estimation, and decision-making in an original unified theoretical framework. The project will also address big-data challenges, as the proposed system will leverage weather, market, and demand information to capture the many factors that may affect the price-response of a pool of flexible consumers. On a fundamental level, FlexAnalytics will produce a novel mathematical framework for data-driven decision making. On a practical level, FlexAnalytics will show that this framework can facilitate the best use of a large amount and a wide variety of data to efficiently operate the sustainable energy systems of the future.

    Partners

    Number of partners: 1
    Site numbers:

    UNIVERSIDAD DE MALAGA

    Key Exploitable Results

    • TRL

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  • Coordination of Transmission and Distribution data eXchanges for renewables integration in the European marketplace through Advanced, Scalable and Secure ICT Systems and Tools

    Project dates: 01. Oct 2017 - 30. Sep 2020

    Objective

    This project aims to design and develop novel Information and Communication Technology (ICT) tools and techniques that facilitate scalable and secure information systems and data exchange between Transmission System Operator (TSO) and Distribution System Operator (DSO). The three novel aspects of ICT tools and techniques to be developed in the project are: scalability – ability to deal with new users and increasingly larger volumes of information and data; security – protection against external threats and attacks; and interoperability –information exchange and communications based on existing and emerging international smart grid ICT standards. The project focuses on TSO-DSO interoperability. While TSO-TSO interoperability is currently well established by ENTSO-E through implementation of the Common Grid Model Exchange System, TSO-DSO interoperability will also benefit future TSO-TSO interoperability. In this context the project will also consider DSO to other Market-participants (DSOs, Aggregators, Distributed Energy Resource Operators, Micro-grid Operators) and information or data access portals that enable business processes involving relevant actors in the electrical power sector. Beyond state-of-the-art progress that will be achieved: Fully defined interface specifications for TSO-DSO information exchange interfaces based on Use Case analysis and IEC 61970/61968/62325 standards to support highly automated information exchange and network analysis. Fully defined interface specifications for information exchange between DSOs and market participants based on Use Case analysis and IEC 61850 and IEC 62325 standards to support highly automated information exchanges. Role-based access control that securely accommodates new data requirements and unbundling processes. A specified suite of ICT protocols and integration with the defined interfaces. Proof of Concept using field tests and demonstration with industry specification at both TSO and DSO levels.

    Partners

    Number of partners: 11
    Site numbers:

    E-REDES - DISTRIBUICAO DE ELETRICIDADE SA

    ELEKTRO GORENJSKA PODJETJE ZA DISTRIBUCIJO ELEKTRICNE ENERGIJE DD

    CENTRO DE INVESTIGACAO EM ENERGIA REN - STATE GRID SA

    ELECTRICITE DE FRANCE

    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

    EUROPEAN NETWORK OF TRANSMISSION SYSTEM OPERATORS FOR ELECTRICITY AISBL

    REN - REDE ELECTRICA NACIONAL SA

    OFFIS EV

    • Partner
    • OFFIS EV
    • Germany
    • Budget: 330, 849

    ELES DOO SISTEMSKI OPERATER PRENOSNEGA ELEKTROENERGETSKEGA OMREZJA

    Elektroinstitut Milan Vidmar

    Research & Innovation

    INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA

    • Partner
    • Portugal
    • Budget: 303, 625

    Key Exploitable Results

    • TRL

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  • Variety, Veracity, VaLue: Handling the Multiplicity of Urban Sensors

    Project dates: 01. Dec 2015 - 30. Nov 2018

    Objective

    Urban environments are awash with data from fixed and mobile sensors and monitoring infrastructures from public, private, or industry sources. Making such data useful would enable developing novel big data applications to benefit the citizens of Europe in areas such as transportation, infrastructures, and crime prevention. Urban data is heterogeneous, noisy, and unlabeled, which severely reduces its usability. Succinctly stated, urban data are difficult to understand. The goal of the VaVel project is to radically advance our ability to use urban data in applications that can identify and address citizen needs and improve urban life. Our motivation comes from problems in urban transportation. This project will develop a general purpose framework for managing and mining multiple heterogeneous urban data streams for cities become more efficient, productive and resilient. The framework will be able to solve major issues that arise with urban transportation related data and are currently not dealt by existing stream management technologies. The project brings together two European cities that provide diverse large scale data of cross-country origin and real application needs, three major European companies in this space, and a strong group of researchers that have uniquely strong expertise in analyzing real-life urban data. VaVel aims at making fundamental advances in addressing the most critical inefficiencies of current (big) data management and stream frameworks to cope with emerging urban sensor data thus making European urban data more accessible and easy to use and enhancing European industries that use big data management and analytics. The consortium develops end-user driven concrete scenaria that are addressing real, important problems with the potential of enormous impact, and a large spectrum of technology requirements, thus enabling the realization of the fundamental capabilities required and the realistic evaluation of the success of our methods.

    Partners

    Number of partners: 10
    Site numbers:

    ETHNIKO KAI KAPODISTRIAKO PANEPISTIMIO ATHINON

    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.

    ORANGE POLSKA SPOLKA AKCYJNA

    IBM IRELAND LIMITED

    MIASTO STOLECZNE WARSZAWA

    TECHNISCHE UNIVERSITAT DORTMUND

    POLITECHNIKA WARSZAWSKA

    DUBLIN CITY COUNCIL

    AGT GROUP (R&D) GMBH

    TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY

    Key Exploitable Results

    • TRL

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