ICONN is a unique H2020 MSCA European Industrial Doctorate initiative to meet the current and future demand for highly skilled offshore wind and wave energy engineers by developing and advancing European capacity in the design, development and performance optimisation for Offshore Wind and Wave Energy installations. The initiative is strongly shaped by active participation from industries, and will develop and enhance European capacity in the offshore renewable energy area at a critical juncture in time when Europe strives to occupy a lead market position globally in this sector.
The ICONN EID will
i) provide state-of-the art training to Early Stage Researchers jointly with industries in the scientific and engineering disciplines of power take-off (PTO) and structural control, wave mechanics and hydrodynamics, CFD, sensing and system identification;
ii) advance expertise, and research capacity, in the techno-economic-environmental factors that impact on the reliability and operational efficiency of offshore renewable energy installations;
iii) instil business, management, entrepreneurship and innovation skills pertaining to offshore wind and combined wind-wave energy sector to encourage entrepreneurship and innovation;
iv) promote clearly defined scientific dissemination, public outreach and commercialisation/IP agendas.
The three scientific work packages, which scaffold the individual research activities, progress from addressing specific challenges and capability deficiencies that impede the effective and efficient deployment of offshore wind and wave infrastructures (floating systems and optimisation of power take-off (PTO) ) through to activities that seek to create, and innovate in, new control algorithms and in operational efficiency domain (fatigue control, new algorithms for control of PTO).
The proposed training and skillset development contributes strongly to EC strategic research, training and innovation strategies as established through the Europe 2020 strategy, Blue Energy, and in EC Innovation Union goals.
The SYSWIND project is a high quality EC FP7 Europe wide training network to produce well qualified researchers in the area of wind energy and new wind turbine technology.
The team is supported by a number of additional leading Universities, research laboratories and industries as associated partners.
Wireless sensor functionality is predominantly constrained by sensor size and battery life considerations. Sensornet frameworks are commonly designed for specific purposes, such as sensor code update. TinyTorrents is a unique architectural platform which makes sensor data promptly, transparently and globally available (via the Internet) using trackerless, co-operative Peer to Peer(P2P) concepts. A key element of the TinyTorrents implementation is the modelling and integration of wireless Quality of Service Active Queue Management functionality together with accurate power consumption and transmission characterisation. Sensors will be able to request prioritisation for”important” data subject to prevailing framework constraints.TinyTorrents has wide application in the sensornet domain, with particular relevance in the fields of monitoring, management and security. All three domains have requirements for accurate and reliable delivery and dissemination of data. Environmental and security sensing installations may require that data is disseminated in real, or near real-time, and may require QoS or performance guarantees. Supported by Science Foundation Ireland, TinyTorrents satisfies these disparate requirements by transparently combining Internet technologies with P2P dissemination and replication concepts in a reliable, efficient, power-aware WSN infrastructure.