Wind energy takes on a large share in the energy market and will play a crucial role in securing the stability of power grids in the future. However, operation of wind farms, and especially offshore wind farms, are not yet ideal. The operation in fluctuating conditions of wind availability and power grids demand as well as the harsh environmental condition where the offshore wind farms are built, have a negative effect on the structure health of the wind turbines, and therefore on their useful lifetime. In this context, WILLOW will develop an integrated system that will provide an open-source, data-driven smart curtailment solution to the Wind Farm Operators with the basis of an integrated Wind Farm Control system looking for a trade-off between the power production and the lifetime consumption. With this aim, WILLOW pretends to design a novel Structural Health Monitoring (SHM) System able to provide high quality data to perform a reliable fleet life assessment using physical models and data-based AI methods which will be used for decision-making and maintenance scheduling. This will contribute to the reduction of the Levelized Cost of Energy (LCOE) and to the increase of the Annual Energy Production (AEP) towards the current trend of design and operating life of offshore wind farms with up to 20 MW turbines beyond 50 years. The WILLOW consortium consists of 12 partners with complementary assets and founded expertise, capable to take on the challenge set out by the topic.

The overall concept of MANTIS is to provide a proactive maintenance service platform architecture based on Cyber Physical Systems that allows to estimate future performance, to predict and prevent imminent failures and to schedule proactive maintenance. Maintenance is no longer a necessary evil that costs what it costs, but an important function that creates additional value in the business process as well as new business models with a stronger service orientation. Physical systems (e.g. industrial machines, vehicles, renewable energy assets) and the environment they operate in, are monitored continuously by a broad and diverse range of intelligent sensors, resulting in massive amounts of data that characterise the usage history, operational condition, location, movement and other physical properties of those systems. These systems form part of a larger network of heterogeneous and collaborative systems (e.g. vehicle fleets or photovoltaic and windmill parks) connected via robust communication mechanisms able to operate in challenging environments. MANTIS consists of distributed processing chains that efficiently transform raw data into knowledge while minimising the need for bandwidth. Sophisticated distributed sensing and decision making functions are performed at different levels in a collaborative way, ranging from local nodes to locally optimise performance, bandwidth and maintenance; to cloud-based platforms that integrate information from diverse systems and execute distributed processing and analytics algorithms for global decision making. The research addressed in MANTIS will contribute to companies' assets availability, competitiveness, growth and sustainability. Use cases will be the testing ground for the innovative functionalities of the proactive maintenance service platform architecture and for its future exploitation in the industrial world. Results of MANTIS can be utilised directly in several industry areas and different fields of maintenanance.