University of Applied Sciences and Arts Northwestern Switzerland

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Windisch, Switzerland
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Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-11-2014 | Award Amount: 8.32M | Year: 2015

The purpose of the RAWFIE initiative is to create a federation of different network testbeds that will work together to make their resources available under a common framework. Specifically, it aims at delivering a unique, mixed experimentation environment across the space and technology dimensions. RAWFIE will integrate numerous testbeds for experimenting in vehicular (road), aerial and maritime environments. A Vehicular Testbed (VT) will deal with Unmanned Ground Vehicles (UGVs) while an Aerial Testbed (AT) and a Maritime Testbed (MT) will deal with Unmanned Aerial Vehicles (UAVs) and Unmanned Surface Vehicles (USVs) respectively. The RAWFIE consortium includes all the possible actors of this highly challenging experimentation domain, from technology creators to integrators and facility owners. The basic idea behind the RAWFIE effort is the automated, remote operation of a large number of robotic devices (UGVs, UAVs, USVs) for the purpose of assessing the performance of different technologies in the networking, sensing and mobile/autonomic application domains. RAWFIE will feature a significant number of UxV nodes for exposing to the experimenter a vast test infrastructure. All these items will be managed by a central controlling entity which will be programmed per case and fully overview/drive the operation of the respective mechanisms (e.g., auto-pilots, remote controlled ground vehicles). Internet connectivity will be extended to the mobile units to enable the remote programming (over-the-air), control and data collection. Support software for experiment management, data collection and post-analysis will be virtualized to enable experimentation from everywhere in the world. The vision of Experimentation-as-a-Service (EaaS) will be promoted through RAWFIE. The IoT paradigm will be fully adopted and further refined for support of highly dynamic node architectures.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: NMP-26-2014 | Award Amount: 11.93M | Year: 2015

One of the greatest challenges facing regulators in the ever changing landscape of novel nano-materials is how to design and implement a regulatory process which is robust enough to deal with a rapidly diversifying system of manufactured nanomaterials (MNM) over time. Not only does the complexity of the MNM present a problem for regulators, the validity of data decreases with time, so that the well-known principle of the half-life of facts (Samuel Arbesman, 2012) means that what is an accepted truth now is no longer valid in 20 or 30 years time. The challenge is to build a regulatory system which is flexible enough to be able to deal with new targets and requirements in the future, and this can be helped by the development and introduction of Safe by Design (SbD) principles. The credibility of such a regulatory system, underpinned by the implementation of SbD, is essential for industry, who while accepting the need for regulation demand it is done in a cost effective and rapid manner. The NANoREG II project, built around the challenge of coupling SbD to the regulatory process, will demonstrate and establish new principles and ideas based on data from value chain implementation studies to establish SbD as a fundamental pillar in the validation of a novel MNM. It is widely recognized by industries as well as by regulatory agencies that grouping strategies for NM are urgently needed. ECETOC has formed a task force on NM grouping and also within the OECD WPMN a group works on NM categorisation. However, so far no reliable and regulatory accepted grouping concepts could be established. Grouping concepts that will be developed by NanoREG II can be regarded as a major innovation therefore as guidance documents on NM grouping will not only support industries or regulatory agencies but would also strongly support commercial launch of new NM.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: EE-03-2014 | Award Amount: 5.33M | Year: 2015

RIBuild will strengthen the knowledge on how and under what conditions internal thermal insulation is to be implemented in historic buildings, without compromising their architectural and cultural values, with an acceptable safety level against deterioration and collapse of heavy external wall structures. The general objective of RIBuild is to develop effective, comprehensive decision guidelines to optimise the design and implementation of internal thermal insulation in historic buildings across the EU. RIBuild focuses on heavy external walls made of stone, brick and timber framing, as most historic buildings are made of these materials. The general objective is achieved through three main activities To obtain a thorough knowledge level to characterise the eligibility of the building for a deep internal thermal insulation renovation. This knowledge is obtained through screening of historic buildings, investigation of material properties and threshold values for failure To determine the conditions under which different internal insulation measures are reliable and affordable measures based on probabilistic modelling of the hygrothermal performance, the environmental impact and the cost/benefit To develop a set of comprehensive decision guidelines, which are demonstrated in a number of buildings. RIBuild addresses the most difficult retrofitting measure of historic buildings: internal thermal insulation. The adaption of knowledge developed by RIBuild contributes to sustainable historic buildings with improved energy efficiency implying an easier conversion of energy supply from inefficient fossil fuels to efficient renewable energy sources. RIBuild also assesses the hygrothermal performance of the building construction, thus no collateral damage occurs; in case of failure an easy roll back of the measures is possible. The guidelines developed in RIBuild strongly support the deep and holistic retrofitting approach which historic buildings face in the coming years.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: EE-06-2015 | Award Amount: 5.56M | Year: 2016

The growing share of variable renewable energy necessitates flexibility in the electricity system, which flexible energy generation, demand side participation and energy storage systems can provide. SIMBLOCK will develop innovative demand response (DR) services for smaller residential and commercial customers, implement and test these services in three pilot sites and transfer successful DR models to customers of Project partners in further European countries. The pilot sites are blocks of highly energy efficient buildings with a diverse range of renewable and cogeneration supply systems and requisite ICT infrastructure that allows direct testing of DR strategies. SIMBLOCKs main objectives are to specify the technical characteristics of the demand flexibility that will enable dynamic DR; to study the optimal use of the DR capability in the context of market tariffs and RES supply fluctuations; and to develop and implement market access and business models for DR models offered by blocks of buildings with a focus on shifting power to heat applications and optimization of the available energy vectors in buildings. Actions toward achieving these objectives include: quantifying the reliability of bundled flexibility of smaller buildings via pilot site monitoring schemes; combining innovative automated modelling and optimization services with big data analytics to deliver the best real time DR actions, including motivational user interfaces and activation programs; and developing new DR services that take into account the role of pricing, cost effectiveness, data policies, regulations, and market barriers to attain the critical mass needed to effectively access electricity markets. SIMBLOCKs approach supports the Work Program by maximizing the contribution of buildings and occupants and combining decentralized energy management technology at the blocks of building scale to enable DR, thereby illustrating the benefits achievable (e.g. efficiency, user engagement, cost).


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETOPEN-01-2016-2017 | Award Amount: 3.96M | Year: 2017

Controlling lightning is a long time dream of mankind. The goal of the present project is to investigate and develop a new type of lightning protection based on the use of upward lightning discharges initiated through a high repetition rate multi terawatt laser. The feasibility of the novel technique and the projects prospect of success are based on recent research providing new insights into the mechanism responsible for the guiding of electrical discharges by laser filaments, on cutting-edge high power laser technology and on the availability of the uniquely suitable Sntis lightning measurement station in Northeastern Switzerland. The LLR consortium is ideally positioned to succeed and to raise the competitiveness of Europe in lightning control as it relies on the integration of trans-disciplinary fields in laser development, nonlinear optics, plasma physics, remote sensing, and lightning: The project team is made up of leaders in the domains of high power nonlinear propagation of laser pulses in the atmosphere, laser control of electric discharges, lightning physics, high power laser development, and high-repetition-rate lasers. In addition, the largest European company in aeronautics brings its expertise in lightning direct effects and protection means on aircraft and infrastructures.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FETPROACT-01-2016 | Award Amount: 5.00M | Year: 2017

MAGENTA proposes a brand new technological path in thermoelectric materials research for waste-heat recovery applications. The originality of the project is based on the newly discovered thermal-to-electric energy conversion capacity of ionic-liquids and ferrofluids; i.e., colloidal dispersions of magnetic nanoparticles in ionic liquids (IL-FFs). It is an inter-disciplinary and cross-sector R&D project combining concepts and techniques from physics, chemistry and electrochemistry with an active participation from 3 SME and 1 industrial partners implicated in the materials supply-chain, the device design/performance and the market-uptake assessment. Both experimental and theoretical approaches will be employed to build foundational knowledge on novel magneto-thermoelectric phenomena in ferrofluids. Computational simulations will allow bottom-up construction of IL-FFs with optimal conditions for harvesting energy. The end-products of MAGENTA, application specific magneto-thermoelectric materials and devices, will provide innovation leadership to European companies in waste-heat recovery industries. The lead-user industries targeted by MAGENTA are automobile and microelectronic sectors, but demonstration-type thermoelectric generators will also be produced for public outreach actions on waste-heat recovery technologies. Through its foundational, interdisciplinary and cross-sector research & innovation actions, the consortium will become a seed community for building an innovation ecosystem around the novel magneto-thermoelectric technology, presenting long-term impacts on future renewal energy science and technology from which the society as a whole can benefit. Withal, MAGENTA offers breakthrough thermoelectric materials that are versatile, cost-effective and non-toxic to assist the economically and environmentally sustainable energy transition in Europe.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-01-2016 | Award Amount: 8.59M | Year: 2016

The Bonseyes project aims to develop a platform consisting of a Data Marketplace, Deep Learning Toolbox, and Developer Reference Platforms for organizations wanting to adopt Artificial Intelligence in low power IoT devices (edge computing), embedded computing systems, or data center servers (cloud computing). It will bring about orders of magnitude improvements in efficiency, performance, reliability, security, and productivity in the design and programming of Systems of Artificial Intelligence that incorporate Smart Cyber Physical Systems while solving a chicken-egg problem for organizations who lack access to Data and Models. Its open software architecture will facilitate adoption of the whole concept on a wider scale. It aims to address one of the most significant trends in the Internet of Things which is the shifting balance between edge computing and cloud computing. The early days of the IoT have been characterized by the critical role of cloud platforms as application enablers. Intelligent systems have largely relied on the cloud level for their intelligence, and the actual devices of which they consist have been relatively unsophisticated. This old premise is currently being shaken up, as the computing capabilities on the edge level advance faster than those of the cloud level. This paradigm shiftfrom the connected device paradigm to the intelligent device paradigm opens up numerous opportunities. To evaluate the effectiveness, technical feasibility, and to quantify the real-world improvements in efficiency, security, performance, effort and cost of adding AI to products and services using the Bonseyes platform, four complementary demonstrators will be built: Automotive Intelligent Safety, Automotive Cognitive Computing, Consumer Emotional Virtual Agent, and Healthcare Patient Monitoring. Bonseyes platform capabilities are aimed at being aligned with the European FI-PPP activities and take advantage of its flagship project FIWARE.


Grant
Agency: European Commission | Branch: H2020 | Program: IA | Phase: LCE-02-2016 | Award Amount: 11.23M | Year: 2016

The GOFLEX project will innovate, integrate, further develop and demonstrate a group of electricity smart-grid technologies, enabling the cost-effective use of demand response in distribution grids, increasing the grids available adaptation capacity and safely supporting an increasing share of renewable electricity generation. The GOFLEX smart grid solution will deliver flexibility that is both general (across different loads and devices) and operational (solving specific local grid problems). GOFLEX enables active use of distributed sources of load flexibility to provide services for grid operators, balance electricity demand and supply, and optimize energy consumption and production at the local level of electricity trading and distribution systems. Building on top of existing, validated technologies for capturing and exploiting distributed energy consumption and production flexibility, GOFLEX enables flexibility in automatic trading of general, localized, device-specific energy as well as flexibility in trading aggregated prosumer energy. Generalized demand-response services are based on transparent aggregation of distributed, heterogeneous resources to offer virtual-power-plant and virtual-storage capabilities. The sources of load flexibility include thermal (heating/cooling) and electric storage (electric vehicles charging/discharging). A backbone data-services platform offers localised estimation and short-term predictions of market and energy demand/generation, and flexibility in order to support effective data-driven decisions for the various stakeholders. Smart-grid technologies, such as increased observability and congestion management, contribute to the platform. Over 36 months, GOFLEX will demonstrate the benefits of the integrated GOFLEX solution in three use-cases, covering a diverse range of structural and operational distribution grid conditions in three European countries.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: EE-05-2016 | Award Amount: 3.00M | Year: 2016

HotMaps will develop, demonstrate and disseminate a toolbox to support public authorities, energy agencies and planners in strategic heating and cooling planning on local, regional and national levels, and in-line with EU policies. The toolbox will facilitate the following tasks on a spatially disaggregated level: (1) Mapping heating and cooling energy situation including renewable and waste heat potentials in GIS layers; (2) Model the energy system, considering hourly matching of supply and demand, demand response etc.; (3) Supporting the comprehensive assessment of efficient heating and cooling according to the Energy Efficiency Directive; (4) Comparative assessment of supply and demand options and of given scenarios until 2050 regarding e. g. CO2-emissions, costs, share of renewables. An open data set for EU-28 will be created to perform those tasks in virtually any EU region up to a 250x250m level, which will reduce barriers for authorities to heating and cooling planning. HotMaps will allow for updating locally available data and links to existing models. The software will be developed in close cooperation with the target group, within the consortium and beyond. Moreover, the toolbox will be validated and demonstrated in 7 pilot areas to provide a tested and user friendly software entirely based on user needs. In the proposal we present a strategy how to ensure the wide usability, adjustability and application of the toolbox within and beyond the project duration: (1) The consortium is fully committed to the open source idea: All EU-28 data and the source code will be open and we will link with open source energy modelling communities; (2) Training activities will be carried out, including a strategy how to continue after the project; (3) Academic partners will train students on HotMaps in their teaching activities. Our consortium includes leading experts on energy planning in Europe, modelling and tool development, dissemination and various public authorities.


Grant
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-18-2016 | Award Amount: 3.94M | Year: 2016

Issues of data subjects privacy and data security represent a crucial challenge in the biomedical sector more than in other industries. The current IT landscape in this field shows a myriad of isolated, locally hosted patient data repositories, managed by clinical centres and other organisations, which are subject to frequent and massive data breaches. Patients are disenfranchised in this process, and are not able to have a clear understanding of who uses their personal information and for what purposes. This makes it the ideal field to build and test new models of privacy and data protection, and the technologies that encode them. MyHealthMyData (MHMD) aims at changing the existing scenario by introducing a distributed, peer-to-peer architecture, based on Blockchain and Personal Data Accounts. This approach will determine new mechanisms of trust and of direct, value-based relationships between people, hospitals, research centres and businesses, in what will be the first open biomedical information network centred on the connection between organisations and the individual. The system will develop a comprehensive methodology to guide the implementation of data and identity protection systems, specifically defining approaches and tools to profile and classify sensitive data based on their informational and economic value, to assess the most suitable and robust de-identification and encryption technologies needed to secure different types of information, to allow advanced analytics, and to evaluate the overall reliability of a generic multi modular architecture. MHMD will also analyse users behavioural patterns alongside ethical and cultural orientations, to identify hidden dynamics in the interactions between humans and complex information services, to improve the design of data-driven platforms and to foster the development of a true information marketplace, in which individuals will be able to exercise full control on their personal data and leverage their value.

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