Agency: GTR | Branch: Innovate UK | Program: | Phase: Collaborative Research & Development | Award Amount: 320.95K | Year: 2012
We plan to develop and integrate three complementary novel technologies and demonstrate their application to noise and vibration cancellation. They are: a novel highly responsive, audio bandwidth combined sensor/actuator and associated local echo canceller for both sensing the noise and simultaneously cancelling it; novel moulded composite panels with tailorable characteristics for passive noise damping; advanced digital adaptive control algorithms. The resulting smart panels have potential for further added-value functionality upgrades. We will build on a previous TSB-funded project which developed the component technologies to proof-of-principle. We will reduce the size, weight and cost of our sensor/actuator and integrate it into panels; demonstrate operation of our local echo canceller; develop and demonstrate a novel real-time adaptive digital control loop; develop the panels to maximise both passive and active noise damping and to facilitate panel jointing; and demonstrate end-user applications. The growing business opportunity for smart panels is driven by two factors: increased awareness of the adverse effects of noise on health (reflected by increasingly stringent legislation and government policy) and the growing desire for a quieter living, working and travelling environment. Applications include buildings, cars (especially the growing number of small luxury vehicles) buses, trains, trams, boats and aircraft. In addition to product sales, IP licensing, design consultancy and firmware / functionality upgrades offer ongoing high-value revenue potential.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ENERGY.2012.2.3.1 | Award Amount: 19.53M | Year: 2012
The overall objectives of the INNWIND.EU project are the high performance innovative design of a beyond-state-of-the-art 10-20MW offshore wind turbine and hardware demonstrators of some of the critical components. These ambitious primary objectives lead to a set of secondary objectives, which are the specific innovations, new concepts, new technologies and proof of concepts at the sub system and turbine level. The progress beyond the state of the art is envisaged as an integrated wind turbine concept with i) a light weight rotor having a combination of adaptive characteristics from passive built-in geometrical and structural couplings and active distributed smart sensing and control, ii) an innovative, low-weight, direct drive generator and iii) a standard mass-produced integrated tower and substructure that simplifies and unifies turbine structural dynamic characteristics at different water depths. A lightweight blade design will be demonstrated at a MW scale turbine. The drive train innovations include a super conducting generator; pseudo magnetic drive train and a light weight re-design of the bedplate for reduced tower top mass. The superconducting generator technology and the pseudo magnetic drive technology will be demonstrated at relevant scales by participating industry. The concepts are researched individually at the component level but also at the wind turbine system level in an integrated approach. Their benefits are quantified through suitable performance indicators and their market deployment opportunities are concretely established in two dedicated integrating work packages. The consortium comprises of leading Industrial Partners and Research Establishments focused on longer term research and innovation of industrial relevance. The project addresses the heart of the Long Term R&D Programme of the New Turbines and Components strand of the European Wind Initiative (EWI) established under SET-Plan, the Common European Policy for Energy Technologies.
Agency: European Commission | Branch: H2020 | Program: MSCA-ITN-ETN | Phase: MSCA-ITN-2014-ETN | Award Amount: 2.86M | Year: 2015
AWESOME network aims to educate eleven young researchers in the wind power operation and maintenance (O&M) field by constructing a sustainable training network gathering the whole innovation value chain. The main EU actors in the field of wind O&M have worked together, under the umbrella of the European Wind Energy Academy (EAWE), in order to design a training program coping with the principal R&D challenges related to wind O&M while tackling the shortage of highly-skilled professionals on this area that has been foreseen by the European Commission, the wind energy industrial sector and the academia. The overall AWESOME research programme tackles the main research challenges in the wind O&M field identified by the European wind academic and industrial community: (1) to develop better O&M planning methodologies of wind farms for maximizing its revenue, (2) to optimise the maintenance of wind turbines by prognosis of component failures and (3) to develop new and better cost-effective strategies for Wind Energy O&M. These main goals have been divided into eleven specific objectives, which will be assigned to the fellows, for them to focus their R&D project, PhD Thesis and professional career. The established training plan answers the challenges identified by the SET Plan Education Roadmap. Personal Development Career Plans will be tuned up for every fellow, being their accomplishment controlled by a Personal Supervisory Team. The training plan includes intra-network activities, as well as network-wide initiatives. The secondments at partner organizations and between beneficiaries are a key attribute of the training programme. Each fellow will be exposed to three different research environments from both, academic and industrial spheres. All the network activities will be developed in accordance with the established in the Ethical Codes and Standards for research careers development, looking therefore for talent, excellence and opportunity equality.
Agency: European Commission | Branch: FP7 | Program: JTI-CP-ARTEMIS | Phase: SP1-JTI-ARTEMIS-2011-5;SP1-JTI-ARTEMIS-2011-1 | Award Amount: 24.44M | Year: 2012
According to a recent forecast published by ABI Research , a fast growth of the market of Advanced Driving Assistance Systems (ADAS) is foreseen in the next five years. For example, in 2016 the overall annual market for Lane Departure Warning systems is expected to reach 22 million units/year (corresponding to 14,3 billion dollars). This market growth will be possible only through the reduction of costs of components as well as the seamless integration of different functions in the same architecture. Since the market will include also low volume vehicles, there will be also a strong need to reduce development costs. Electric vehicles will be an additional catalyst for the ADAS market. The absence of engine noise requires the introduction of new means to protect vulnerable road users from these vehicles. On the other hand, electric vehicles can easily support (semi)automatic functions (such as parking manoeuvres and Stop&Go). To manage the expected increase of function complexity together with the required reduction of costs (fixed and variable) DESERVE will design and build an ARTEMIS Tool Platform based on the standardisation of the interfaces, software (SW) reuse, development of common non-competitive SW modules, and easy and safety-compliant integration of standardised hardware (HW) or SW from different suppliers. With innovative design space exploration (DSE) methods system design costs can be reduced by more than 15%. Hence, DESERVE will build an innovation ecosystem for European leadership in ADAS embedded systems, based on the automotive R&D actors, with possible applications in other industrial domains. Since the purpose of ADAS functions is also to support the driver, an advanced human-centred design strategy will be integrated in the Tool Platform. Therefore, the developed applications will provide natural and friendly support to the driver, with proper levels of overall functional safety also during complex or emergency manoeuvres. - - - Version approved by the JU on 14/07/2015
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: LCE-07-2016-2017 | Award Amount: 4.93M | Year: 2016
Current practice in wind turbines operation is that every turbine has its own controller that optimizes its own performance in terms of energy capture and loading. This way of operating wind farms means that each wind turbine operates based only on the available information on its own measurements. This gets the wind farm to operate in a non-optimum way, since wind turbines are not operating as players of a major system. The major reasons for this non-optimum approach of wind farms operation are based on the lack of knowledge and tools which can model the dynamics of the flow inside the wind farm, how wind turbines modifies this flow, and how the wind turbines are affected by the perturbed flow. In addition, this lack of tools deals to also a lack of advanced control solutions, because there are not any available tool which can help on developing and testing virtually advanced control concepts for wind farms. CL-WINDCON will bring up with new innovative solutions based on wind farm open and closed loop advanced control algorithms which will enable to treat the entire wind farm as a unique integrated optimization problem. This will be possible thanks to the development of appropriate dynamic tools for wind farm simulation, at a reasonable computing effort. These tools for wind farm dynamic modelling of wind farm models will be fully open source at the end of the project, while control algorithms will be extensively validated simulations, in wind tunnel tests. Some open loop validations will be performed at wind farm level tests. Proposed control algorithms, useful for future but also for already existing wind farms. Then these will improve the LCOE, as well as the O&M costs will decrease, and improves in terms of reliability the wind turbine and wind farm. These performance improvements will be evaluated for both, wind turbine operation and wind farm operation.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.6.7 | Award Amount: 17.11M | Year: 2012
TEAM aims at developing systems for participants in transportation networks, which help them to behave better by explicitly taking into account the needs and constraints of other participants and the network itself. Focus will be placed upon decision-making in a time interval, above what is commonly associated with reactive safety (typically less than 5 seconds) and below long-term planning applications (typically 5 minutes and longer). In this interval human actors can employ modern technology to collaboratively devise socially optimal strategies. Thereby, we believe we will be able to reduce the social cost of traffic while increasing its efficiency and flexibility.\n\nThe project is built around four basic themes:\n\n1. Basic technologies to realise collaborative mobility: We will advance communication technologies that underpin V2X by integrating LTE technologies, and by developing an automotive cloud-computing platform to support advanced and decentralised traffic management algorithms.\n\n2. Infrastructure-centric technologies and algorithms for elastic mobility: We will develop proactive infrastructure-centric algorithms and technologies to enable behavioural change in order to improve transportation networks in a way that takes into account real-time needs and constraints of all network users.\n\n3. Distributed technologies and algorithms to realise elastic mobility: We will develop proactive user-, community- and group-centric algorithms and technologies to achieve (and complement) the goals of theme 2. The vision is to use nomadic devices such as smart phones or on-board units to realise massively distributed collaborative control and optimisation concepts.\n\n4. Demonstration: The success of the project will be demonstrated via innovative leading-edge cooperative applications and a Europe-wide mobility experiment to illustrate the systems benefits in a pan-European setting.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: LCE-02-2014 | Award Amount: 7.27M | Year: 2015
The focus of the project will be on floating wind turbines installed at water depths from 50m to about 200m. The consortium partners have chosen to focus on large wind turbines (in the region of 10MW), which are seen as the most effective way of reducing the Levelized Cost of Energy (LCOE). The objective of the proposed project is two-fold: 1. Optimize and qualify, to a TRL5 level, two (2) substructure concepts for 10MW turbines. The chosen concepts will be taken from an existing list of four (4) TRL>4 candidates currently supporting turbines in the region of 5MW. The selection of the two concepts will be made based on technical, economical, and industrial criteria. An existing reference 10MW wind turbine design will be used throughout the project. 2. More generally, develop a streamlined and KPI-based methodology for the design and qualification process, focusing on technical, economical, and industrial aspects. This methodology will be supported by existing numerical tools, and targeted development and experimental work. It is expected that resulting guidelines/recommended practices will facilitate innovation and competition in the industry, reduce risks, and indirectly this time, contribute to a lower LCOE. End users for the project deliverables will be developers, designers and manufacturers, but also decision makers who need to evaluate a concept based on given constraints. The proposed project is expected to have a broad impact since it is not led by single group of existing business partners, focusing on one concept only. On the contrary, it will involve a strong consortium reflecting the value chain for offshore wind turbines: researchers, designers, classification societies, manufacturers, utilities. This will ensure that the projects outcomes suit the concrete requirements imposed by end-users.
Agency: European Commission | Branch: H2020 | Program: CSA | Phase: WASTE-4c-2014 | Award Amount: 2.50M | Year: 2015
EU is dependent on the import of Raw Materials, if we consider that in Europe there are between 150K to 500K highly variable landfills, it is easy to understand that the SRM potential of various landfills is significant. Valuable Raw Materials disposed in landfills are mostly lost due to inefficient waste management practices. Existing knowledge, reporting standards and inventory on SRM seems to be inefficient. In this context, the SMART GROUND project intends to foster resource recovery in landfills by improving the availability and accessibility of data and information on Secondary Raw Materials (SRM) in the EU, while creating synergies among the different stakeholders involved in the SRM value chain. SMART GROUND involves the 3 main players of the process: End-users (waste management companies),RTD institutions (Research centres, Universities, SMEs), and Technology Transfer providers (Networking, training organizations and public authorities). Thus, the consortium will integrate all the data from existing databases and new information retrieved in a single EU databank. SMART GROUND will respond to the needs of coordination, networking and cooperation between stakeholders, through the creation of a databank enabling the exchange of information among them. It will improve data gathering on SRM from different types of waste, by defining new and better data acquisition methods and standards; it will cooperate with other EU ongoing activities and support the implementation of the EIP on RM. The project also aims at improving the SRM economic and employment potential, by i) providing training on the assessment of landfill sites material recovery targeting end-users, ii) forming a dedicated network of academic, industrial and other stakeholders and regulators committed to cost-effective research, technology transfer and training; iii) developing and implementing a dissemination and exploitation plan to maximise the impacts and benefits of the SMART GROUND action
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 859.50K | Year: 2017
The goal of this project is to develop novel information sensing research and innovation approaches for acquiring, communicating and processing a large volume of heterogeneous datasets in the context of smart buildings, by building an international, inter-disciplinary and inter-sectoral collaboration network through research and innovation staff exchanges and seamless exchange of ideas, expertise, data, testbeds, and know-how. The need to sense and process ever increasing amount of data requires novel engineering that goes far beyond conventional centralised methods, where signal acquisition, communications and data processing are performed centrally and independently. Building on integrating signal acquisition, communications and information extraction into an overarching smart sensing approach, the project will provide a holistic decision support framework for non-residential buildings of the future. The key challenges of providing intelligence to the building lie in ubiquitous sensing, inside and outside the building, and connecting the sensing technology to people and outside world via meaningful decision support. Though significant research has been dedicated to developing novel sensing and instrumentation technologies, further research and innovation advances are needed to integrate physical sensing to data processing via distributed estimation and fusion approaches, giving actionable meaning to the suite of collected data. In that context, it is necessary not only to continuously monitor the environment, equipment, systems and processes, but also to sense occupants behaviour inside and outside the building and provide timely response and feedback. The proposal will tackle the above challenges through several routes: (1) new information-driven sensor designs that connect technology with people and information; (2) new Internet-of-Everything based communications protocols for seamless distributed detection and estimation; (iii) intelligent data processing.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.6.6 | Award Amount: 17.14M | Year: 2011
iCargo IP aims at advancing and extending the use of ICT to support new logistics services that: (i) synchronize vehicle movements and logistics operations across various modes and actors to lower CO2 emissions, (ii) adapt to changing conditions through dynamic planning methods involving intelligent cargo, vehicle and infrastructure systems and (iii) combine services, resources and information from different stakeholders, taking part in an open freight management ecosystem. To achieve the above targets, iCargo will design and implement a decentralized ICT infrastructure that allows real world objects, new planning services including CO2 calculation capabilities and existing systems to co-exist and efficiently co-operate at an affordable cost for logistics stakeholders. iCargo infrastructure will include Intelligent Cargo items to facilitate automated reactive decision-making and to integrate information obtained from on-going execution (all modes) into planning processes to optimize environmental performances, including real-time information about traffic and transport infrastructure conditions. iCargo involves representatives of the main stakeholders in three main areas of activity: (i) research and technological development, involving leading ICT companies and institutes to integrate in iCargo the necessary technology components, including results from key related EU projects, and to develop innovative approaches and business models for co-modal transport environmental optimization and dynamic planning; (ii) implementation, demonstration and validation of three extensive pilots in end-to-end multi-actor intermodal chains, involving users from logistics companies, shippers and public authorities; (iii) extensive dissemination of research results, demonstration and pilot cases validation activities, aimed at transferring iCargo results to the international transport logistics community and supporting take-up and extensive exploitation immediately after the project