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.

COGNIPLANT project will develop and demonstrate an innovative approach for the advanced digitization and intelligent management of the process industries. This approach will be based on a novel vision to data monitoring and analysis, that will make the most of the latest developments on advanced analytics and cognitive reasoning, coupled with a disruptive use of the Digital Twin concept to improve Production plants’ operation performance by up to 68% in real time control of the productive environment, 65% in quality control of the final products and 70 % in response time to uncontrolled incidents. The concept will be implemented by four end-users from four different SPIRE industries, one chemical industry in Austria, one aluminum refinery in Ireland, one concrete manufacturing industry in Italy and one metal industry in Spain. The COGNIPLANT solution will provide a hierarchical monitoring and supervisory control that will give a comprehensive vision of the plants’ production performance as well as the energy and resource consumption. Advanced data analytics will be applied to extract valuable information from the data collected about the processes and their effect on the production plant’s overall performance enabling to design and simulate operation plans in digital twin models based on the conclusions. As a result, optimal operation plans will be obtained that will improve the performance of those cognitive production plants. In addition, the project will demonstrate the positive impact derived from the implementation of COGNIPLANT solution that will allow industries reducing their CO2 emissions up to 20%. A training strategy will be designed to provide a comprehensive framework for the dissemination of the project outcomes and a clear understanding of the new solution for the employees of the SPIRE sectors.

Six TSOs, eleven research partners, together with sixteen industry (manufacturers, solution providers) and market (producers, ESCo) players address, through a holistic approach, the identification and development of flexibilities required to enable the Energy Transition to high share of renewables. This approach captures synergies across needs and sources of flexibilities, such as multiple services from one source, or hybridizing sources, thus resulting in a cost-efficient power system. OSMOSE proposes four TSO-led demonstrations (RTE, REE, TERNA and ELES) aiming at increasing the techno-economic potential of a wide range of flexibility solutions and covering several applications, i.e.: synchronisation of large power systems by multiservice hybrid storage; multiple services provided by the coordinated control of different storage and FACTS devices; multiple services provided by grid devices, large demand-response and RES generation coordinated in a smart management system; cross-border sharing of flexibility sources through a near real-time cross-border energy market. The demonstrations are coordinated with and supported by simulation-based studies which aim (i) to forecast the economically optimal mix of flexibility solutions in long-term energy scenarios (2030 and 2050) and (ii) to build recommendations for improvements of the existing market mechanisms and regulatory frameworks, thus enabling the reliable and sustainable development of flexibility assets by market players in coordination with regulated players. Interoperability and improved TSO/DSO interactions are addressed so as to ease the scaling up and replication of the flexibility solutions. A database is built for the sharing of real-life techno-economic performances of electrochemical storage devices. Activities are planned to prepare a strategy for the exploitation and dissemination of the project’s results, with specific messages for each category of stakeholders of the electricity system.