The ambition of the TotalControl project is to develop the next generation of wind power plant (WPP) control tools, improving both WPP control itself and the collaboration between wind turbine (WT) and WPP control. To do this, TotalControl will use high-fidelity simulation and design environments that include detailed time resolved flow field modelling, nonlinear flexible multi-body representations of turbines, and detailed power grid models.
The Romeo Project (Reliable OM decision tools and strategies for high LCoE reduction on offshore wind) is an initiative backed by the EU through its H2020 programme that fosters research and innovation, which aims to develop advanced technological solutions that enable the operation and maintenance costs of offshore wind power facilities to be reduced.
A flexible and interoperable Cloud and Internet of Things (IoT) platform will provide an advanced analytics ecosystem for failure diagnosis and prognosis models to better understand the real time behaviour of the main components of WTGs under operational conditions; maximizing their life span and minimizing O&M costs. Additionally, the project will develop third-generation condition monitoring systems for some WTG components and low-cost structural condition monitoring systems.
PRoPART is an EU funded cooperation project focusing on autonomous vehicles and advanced driver assistance systems. The main idea behind the project is to develop and enhance an RTK (Real Time Kinematic) software solution by both exploiting the distinguished features of Galileo signals as well as combining it with other positioning and sensor technologies.
By combining the innovative solutions in the current RTK SW from Waysure with features of Galileo signals from Fraunhofer solution and extending it with positioning augmentation provided by the UWB ranging solution from Ceit-IK4, PRoPART will be able to deliver an emerging solution for the future mass market of autonomous road transport. The requirements supplied by Scania and development of a collaborative autonomous lane change application using C-ITS technologies (e.g. V2X) from Commsignia and sensor data fusion tools from Baselabs will secure that the PRoPART positioning solution will fulfil the needs of the end user.
WILDCRAFT proposes the design, development and testing of a proof-of-concept demonstrator of a Wireless Sensor Network (WSN) aimed at applications in the aerospace industry. The continuous pressure on aircraft manufacturers to produce better and more secure aircrafts has led to increasing costs in maintenance and monitoring procedures that are being performed at given time intervals to assess the state of an aircraft. Wireless Sensor Networks (WSN) allow the continuous monitoring of critical variables of the operation of an aircraft, and as such they are able to issue early warning of a possible problem for immediate repairing.
The final objective of WILDCRAFT is to serve as a fully automated way of inspecting the state of an aircraft structure and to achieve that it will be necessary to process a large amount of data in an intelligent way. WILDCRAFT will be using the inherent redundancy of WSNs to augment the overall fault tolerance of the system by employing data fusion techniques that can be implemented both at the node level and also at a global level to produce values that can be thought as a measure from an «abstract sensor» that represent the measures from all de WSN.
WINTUR Demonstration Project will demonstrate the structural health monitoring (SHM) system that was developed successfully in the WinTur R4S project, in order to show that such a system is viable for blade monitoring and can help the wind sector to achieve the kind of energy delivery to business and communities that is desired by reducing operational and maintenance costs. This will be achieved by increasing efficiency by way realising the full life-cycle term of blade components and providing maintenance as and when it is required.
The main objective of MOBNET is to locate isolated victims during natural disasters and situations of emergency such as earthquakes, hurricanes or large snowstorms. MOBNET will also help first responder services to find lost people in general. To that end, the use of EGNSS (both Galileo early services and EGNOS) and DCT (Digital Cellular Technologies) plays a key role in situations where it is difficult, dangerous or even impossible to access the affected areas. MOBNET will be designed and built as a reduced SWaP, on-board payload for a UAV.