Inov Inesc Inovacao Institute Novas Tecnologias | Date: 2017-06-14
The present invention defines a method for dynamic control of the power injected in the eletric grid by micro and mini producers of energy, hereinafter designated as Distributed Generators (DG), connected to a distribution feeder starting at a Secondary Subtation (SS), in order to ensure that the voltage along the feeder does not exceed the regulamentary limits, and simultaneously maximize the energy production by said DG, or balance the energy production between the several DG connected to said feeder. Said method is implemented in a Processing Module (PM) that receives a set of voltage values (V), current values (I) and power factor values (PF), measured at the output of said DG, based upon which there are calculated and sent to the different DG the optimal power setpoints (SP) that each one of them should inject in the grid in order to guarantee that the voltage along the feeder does not exceed the regulamentary values and at the same time optimizes the energy production by said DG according to predefined criteria.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: DRS-07-2014 | Award Amount: 4.32M | Year: 2015
Large scale crises are affecting critical infrastructures with a growing frequency. This is a result of both basic exposure and dependencies between infrastructures. Because of prohibitive costs, the paradigm of protection against extreme events is expanding and now also encompasses the paradigm of resilience. In addition to strengthening and securing systems; system design objectives are now being set, and response planning is being carried out, to facilitate a fast recovery of infrastructure following a large scale incident. With an interconnected European society, countries and infrastructures are increasingly reliant upon their neighbours, both under normal operating conditions and in the event of an incident. Despite this, there is no common European methodology for measuring resilience or for implementing resilience concepts, and different countries and sectors employ their own techniques. There is also no shared, well-developed system-of-systems approach, which would be able to test the effects of dependencies and interdependencies between individual critical infrastructures and sectors. This increases the risk as a result of reliance on critical infrastructures, as well as affects the ability for sharing resources for incident planning due to no common terminology or means of expressing risk. The overall objective of IMPROVER is to improve European critical infrastructure resilience to crises and disasters through the implementation of combinations of societal, organisational and technological resilience concepts to real life examples of pan-European significance, including cross-border examples. This implementation will be enabled through the development of a methodology based on risk evaluation techniques and informed by a review of the positive impact of different resilience concepts on critical infrastructures. The methodology will be cross sectoral and will provide much needed input to standardisation of security of infrastructure.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FCT-03-2015 | Award Amount: 4.78M | Year: 2016
The overall goal of ROCSAFE is to fundamentally change how CBRNe events are assessed, in order to and ensure the safety of crime scene investigators by reducing the need for them to enter high-risk scenes when they have to determine the nature of threats and gather forensics. For this, ROCSAFE will make use of cost-effective modern remotely-controlled robotic air and ground vehicles (RAVs/RGVs) that are designed for use in rain, wind, and challenging ground surfaces and obstacles. First, RAVs will assess the scene. These will have cameras and can carry an array of innovative new high-performance and rugged miniaturised sensor systems for RN, chemical and biological threats. To reduce the scene commanders cognitive load, ROCSAFE will include new Central Decision Management software and a Command Centre. All images and data will be streamed to this, where it will be analysed and displayed on a sophisticated and intuitive interface with maps and video, showing results of analytics and giving readings geographical context. This will enable the scene commander to assess the nature of threats, develop an Action Plan and an Evidence Plan, supported as needed by the Central Decision Management. It will also assist in coordinating sensors and mobile units. Its data analytics will provide fusion of multiple sensor data sources, to allow probabilistic reasoning about the most likely threats and likely locations of epicentres. After the scene is assessed, RGVs will be dispatched to collect forensic material/evidence, with automatically-optimised routes to avoid hazards. They will have innovative new equipment for forensics collection that will automate best practices. Forensic material will be collected, bagged, tagged, documented, and stored by the RGV. Thus, ROCSAFE will ensure that CBRNe scenes are assessed more rapidly and thoroughly than is currently possible, and that forensic evidence is collected in a manner that stands up in court, without putting personnel at risk.
Agency: European Commission | Branch: H2020 | Program: IA | Phase: DS-06-2014 | Award Amount: 5.82M | Year: 2015
The advent of Social Networks has made both companies and public bodies tremendously exposed to the so-called Social Engineering 2.0, and thus prone to targeted cyber-attacks. Unfortunately, there is currently no solution available on the market that allows neither the comprehensive assessment of Social Vulnerabilities nor the management and reduction of the associated risk. DOGANA aims to fill this gap by developing a framework that delivers aDvanced sOcial enGineering And vulNerability Assessment. The underlying concept of DOGANA is that Social Vulnerabilities Assessments (SVAs), when regularly performed with the help of an efficient framework, help deploy effective mitigation strategies and lead to reducing the risk created by modern Social Engineering 2.0 attack techniques. Two relevant features of the proposed framework are: i) the presence of the awareness component within the framework as the cornerstone of the mitigation activities; ii) the legal compliance by design of the whole framework, that will be ensured by a partner and a work package explicitly devoted to this task. Moreover, the outcomes of the project are also expected to provide a solid basis to revise the insurance models for cyber-attacks related risks, thanks to the involvement of 2 strong DOGANA partners in this area of activity. The project will be implemented by a consortium of 18 partners, from 11 different countries, including users, technology providers of whom 3 are major world-wide cyber-security solutions market leaders as well as legal and psychological expertise. An extensive field trial plan enables the testing of the DOGANA platform with six users (4 partners and 2 supporting users) operating in the critical areas of energy, finance, transport, utilities, and public authorities. DOGANA has also created a unique consortium with a world-wide scope.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FCT-01-2015 | Award Amount: 11.99M | Year: 2016
ASGARD has a singular goal, contribute to Law Enforcement Agencies Technological Autonomy and effective use of technology. Technologies will be transferred to end users under an open source scheme focusing on Forensics, Intelligence and Foresight (Intelligence led prevention and anticipation). ASGARD will drive progress in the processing of seized data, availability of massive amounts of data and big data solutions in an ever more connected world. New areas of research will also be addressed. The consortium is configured with LEA end users and practitioners pulling from the Research and Development community who will push transfer of knowledge and innovation. A Community of LEA users is the end point of ASGARD with the technology as a focal point for cooperation (a restricted open source community). In addition to traditional Use Cases and trials, in keeping with open source concepts and continuous integration approaches, ASGARD will use Hackathons to demonstrate its results. Vendor lock-in is addressed whilst also recognising their role and existing investment by LEAs. The project will follow a cyclical approach for early results. Data Set, Data Analytics (multimodal/ multimedia), Data Mining and Visual Analytics are included in the work plan. Technologies will be built under the maxim of It works over Its the best. Rapid adoption/flexible deployment strategies are included. The project includes a licensing and IPR approach coherent with LEA realities and Ethical needs. ASGARD includes a comprehensive approach to Privacy, Ethics, Societal Impact respecting fundamental rights. ASGARD leverages existing trust relationship between LEAs and the research and development industry, and experiential knowledge in FCT research. ASGARD will allow its community of users leverage the benefits of agile methodologies, technology trends and open source approaches that are currently exploited by the general ICT sector and Organised Crime and Terrorist organisations.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FCT-14-2014 | Award Amount: 4.26M | Year: 2015
Community policing promotes the implementation of bi-directional collaboration channels between citizens and Law Enforcement Agencies (LEAs). By enhancing the discovery of relevant and up to date information, it speeds up the detection of risks, eases their prevention and builds a continuum of collaboration which motivates citizens and LEAs to work together. Over 36 months, TRILLION - TRusted, CItizen - LEA coILaboratIon over sOcial Networks - delivers a fully-fledged platform to support the extensive collaboration between citizens and LEAs. The operational environment of the platform is not limited to an on-going crisis, but also extends to the period before it through early identification and prevention of emerging risks. Major challenges addressed by TRILLION include creating the necessary trust to entice provision of information, ensuring that the information leads to realistic and credible knowledge and using this knowledge through secure bi-directional communications to guide actions of individuals closest to an identified risky situation. TRILLION delivers a comprehensive service based platform and mobile applications that support the knowledge-based, real-time collaboration among law enforcement agents, first responders and citizens whilst ensuring that privacy and data protection are taken into account. The TRILLION consortium and supporting organisations include 6 citizen communities, 6 law enforcement stakeholders, 3 industrial players and 5 universities and research centres. Extensive trials take place through pilots, early validations and serious game based training across Italy, Portugal, Sweden, the Netherlands and the United Kingdom, involving close to 2.000 citizens and law enforcement agencies representatives.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.6.4 | Award Amount: 5.18M | Year: 2013
Energy efficiency becomes crucial for rational consumption of the available resources and reduction of the CO2 production. But the reduction of energy consumption as the only remedy is only a partial solution. Similar, applying more environment-neutral or renewable energy sources without smart management systems may even cause failures in the energy grid or at least cause the energy to be wasted. Introducing intelligent solutions that combine the control of energy production and consumption helps to achieve the best efficiency.However a successful application of such solutions faces problems due to human factors. The problem space is multidimensional, but can be abstracted as a combination of social, economic and technical aspects. The e-balance project will investigate their interdependencies and propose a solution that satisfies the defined requirements.The social, economic and technical aspects will be investigated in order to achieve a mature and holistic solution.The social aspects include:- Socio-technical development (user requirements and concerns),- Different levels of user participation (involvement) and means to increase it,- Barriers to conduct an effective solution,From the economic perspective the following aspects will be considered:- Development of new business opportunities,- Economic means to increase involvement,- Legislation reinforcements and corrective measures,And the technical solution will provide the following features respecting the socio-economic aspects:- Support for all kinds of energy source and storage,- Scalable, fine grained and decentralized energy balancing and demand prediction,- Security and privacy mechanisms,- Flexible accounting,- Increased reliability.The technical solution will be based on available state of the art results and will combine them according to the socio-economical requirements with necessary adaptation.The proposed energy management platform will be evaluated in realistic scenarios using real world set-ups in Alliander microgrid in Bronsbergen and EDP Smart Grid in Portugal, as well as in emulation.In order to stimulate the exploitation of the results we will provide a guide book and tools for parties interested in using our solution, to help them to estimate the improvements they can achieve for a given deployment as well as the costs they can expect.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: BES-04-2015 | Award Amount: 4.61M | Year: 2017
The last decades witnessed the ever growing effectiveness of Europe-subsidized border protection projects like SIVE and SIVICC. As maritime smuggling from Morocco towards the European borders of Portugal and Spain was combatted more effectively, the criminal modus operandi changed drastically, approaching air routes with cheap and small planes. New drone technology opens opportunity to both manned and unmanned airborne drug transports. Launched from any location and moving at low altitude and speed to mask their presence with the present clutter environment, drones can autonomously reach any landing site under nearly all circumstances. The ALFA system bridges this detection capability gap by drastically improving the situational awareness through the detection of LSS (Low, Small and Slow) manned and unmanned aircraft. ALFA is future-ready as technologies for drone detection will be a part of the system, which will use heterogeneous, easy-to-deploy mobile sensors based on several novel technologies. All sensor data, augmented by other existing sources of information, will be combined using evolved data fusion, providing accurate positional data for targets including eventual indication of the air vehicle type and reliable prediction of its landing site. This information will be communicated to the regional law enforcement units using a secure communication link and mobile device application, drastically improving the reaction time. Final ALFA capabilities will be demonstrated in a realistic operational context using relevant targets and in close cooperation with two principal end users taking part in the consortium. With their active participation, the ALFA system will make a significant contribution to the development of EUROSUR (in particular, cooperating with SIVE and SIVICC) and be suitable for a range of other missions and scenarios such as homeland and event protection and the protection of critical infrastructure.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: ICT-06-2014 | Award Amount: 305.37K | Year: 2015
It is the purpose of EuConNeCts 2, a Supporting Action, to organise the following 2 editions, 2016 and 2017, of the EC sponsored conference in the area of communication networks and systems (EuCNC - European Conference on Networks and Communications). EuCNC will serve as a technical and scientific conference for researchers, namely European ones, to show their work in the area of Telecommunications, focusing on communication networks and systems, but reaching services and applications. However, the conference will not be restricted to European researchers, rather aiming at attracting others from all the other regions in the world. It will also serve as a showcase for the work developed by projects co-financed by the EC, namely those addressing Objective ICT-2014.6 (Smart optical and wireless network technologies), but also including the new projects arising from other H2020 calls. Nonetheless, it also aims at attracting works in the area of communication networks and systems from other objectives. EuCNC will: 1) be a European conference, but with a large international dimension; 2) showcase the R&D activities performed within EC programmes, directly and indirectly; 3) showcase the cooperation in R&D between European organisations and worldwide ones; 4) bridge between academia / research centres and industry; 5) coordinate its goals with the EC and the main European players; 6) be a high-quality R&D conference; 7) be a well-recognised conference in Telecommunications; 8) provide a forum for the presentation of state-of-the-art technology, in both theoretical and experimental forms; 9) communicate the research results to the wide audience of the general public; 10) foster the participation of both established researchers and students, as well as industry members from various areas; 11) be a transparent and not-for-profit conference; 12) positively differentiate itself from other conferences, which will be achieved by reaching all previous objectives.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: DRS-11-2015 | Award Amount: 7.30M | Year: 2016
Starting from previous research experiences and tangible outcomes, STORM proposes a set of novel predictive models and improved non-invasive and non-destructive methods of survey and diagnosis, for effective prediction of environmental changes and for revealing threats and conditions that could damage cultural heritage sites. Moreover, STORM will determine how different vulnerable materials, structures and buildings are affected by different extreme weather events together with risks associated to climatic conditions or natural hazards, offering improved, effective adaptation and mitigation strategies, systems and technologies. An integrated system featuring novel sensors (intra fluorescent and wireless acoustic sensors), legacy systems, state of the art platforms (including LiDAR and UAVs), as well as crowdsourcing techniques will be implemented, offering applications and services over an open cloud infrastructure. An important result of STORM will be a cooperation platform for collaboratively collecting and enhancing knowledge, processes and methodologies on sustainable and effective safeguarding and management of European Cultural Heritage. The system will be capable of performing risk assessment on natural hazards taking into account environmental and anthropogenic risks, and of using Complex Events processing. Results will be tested in relevant case studies in five different countries: Italy, Greece, UK, Portugal and Turkey. The sites and consortium have been carefully selected so as to adequately represent the rich European Cultural Heritage, while associate partners that can assist with liaisons and links to other stakeholders and European sites are also included. The project will be carried out by a multidisciplinary team providing all competences needed to assure the implementation of a functional and effective solution to support all the actors involved in the management and preservation of Cultural Heritage sites.