Isotrol, as a specialist on ICT solutions for renewable energies, has identified a business opportunity of develop and take to market a new generation of portfolio asset manager based on analysing on the large amount of technical and economic data available. The consolidation of the renewable energies sector and the change of centre of gravity from technical towards financial and asset managers as the main players in the sector. These actors handle hundreds or thousands of energy generation facilities from a large diversity for sizes and technologies (Wind, Photovoltaics, Biomass, Hydro) that has purchased from promoters. The existing tools in the market are based on informational systems or scorecards for the main parameters of the facilities, but, in general, have not been able to take advantage of the complete digitization of the processes and the new techniques of BigData, predictive analytics and systems capable of learning that are capable of provide detailed insights of the portfolio for: a) detecting non-optimal production. b) selling energy strategy and c) O&M cost reductions. The solution is focused as a services (SaaS) for the management of the portfolio, providing specific information about these three areas. On-premise installation for some customers are also foreseen. This data driven predictive analytics over the detailed information of a renewable portfolio is expected to increase the revenue for asset manager in a 10%. Renewable energies is a key sector for EU economy that already employs over 1 million people and accounted for EUR 144 billion in 2014. The Renewable Energy Directive has the aim of making the EU world number one in renewables. European Commission has set the objective of 27% share of renewable energy for 2030. Growing rates for large (‘utility-scale’) renewable facilities are very consistent in main accessible markets (USA 51% in PV and 11% in wind; Europe, 12% and 5%, Latam 280% and 38%).

TALOS will develop and demonstrate world-class robotics solutions for different photovoltaic (PV) energy operating scenarios – land-based, floating, and agriPV, promoting innovation in both the energy and agriculture sectors. TALOS will demonstrate the added value of robotics and their potential in reducing greenhouse gas (GHG) emissions (>450ton/year), minimising wasted resources (up to 35% water saved), lowering operation and maintenance (O&M) costs (up to 5%), and optimising human-robot and robot-robot collaboration to reduce humans' exposure to risky environments. Dangerous, dull, or dirty tasks will be performed autonomously by the TALOS solutions – such as monitoring, inspection, cleaning, and vegetation management, where robust robotics solutions will be developed for all PV scenarios and demonstrated to show increasing PV plant performance ratio up to 10%, reducing the risk exposure of O&M workers by 90% or the human burden of monitoring crops by 90% in the demonstration scenarios, allowing feasible inspection periods to be 24/7. A multi-robot platform and recommendation system will demonstrate >30 robot-robot interactions, >30 inspections, and human-in-the-loop features and training sessions for end users and workers. Requirements will be co-created with relevant stakeholders and refined for the technology partners within the consortium, as well as for the 9-13 robotics start-ups that will be granted the cascade funding and demonstrated in the test bed scenarios set up by the project.

In the era of hyper-connected digital economies, the smart technologies play a vital role in the operation of the Electrical Power and Energy Systems (EPES), transforming it into a new, decentralised model with multiple benefits, such as distributed generation, pervasive control, remote monitoring, and self-healing. However, the growing number of cybersecurity incidents in EPES promotes the need for shielding against a variety of threats, ranging from cyberattacks, dynamic and evolving Advanced Persistent Threats (APTs), and privacy violations, to electricity disturbances and severe human errors caused by lack of relevant training. The diverse threats that modern EPES are facing require novel and holistic solutions that employ cutting-edge technologies to detect and mitigate threats, while continuously assessing the dynamic EPES environment, ensuring compliance with the latest cybersecurity standards and training the EPES personnel to appropriately respond to cybersecurity incidents and mitigate the human-error factor. Considering these, ELECTRON aims at delivering a new-generation EPES platform, capable of empowering the resilience of energy systems against cyber, privacy, and data attacks through four main pillars (risk assessment and certification, anomaly detection and prevention, failure mitigation and energy restoration, and addressing internal threats and gaps through AR-VR-based personnel training and certification), while fostering the cyber protection standardisation and certification via three novel authorities, namely the cybersecurity lighthouse, the cybersecurity training and certification authority, and the energy trading centre.