Current practice in wind turbines operation is that every turbine has its own controller that optimizes its own performance in terms of energy capture and loading. This way of operating wind farms means that each wind turbine operates based only on the available information on its own measurements. This gets the wind farm to operate in a non-optimum way, since wind turbines are not operating as players of a major system. The major reasons for this non-optimum approach of wind farms operation are based on the lack of knowledge and tools which can model the dynamics of the flow inside the wind farm, how wind turbines modifies this flow, and how the wind turbines are affected by the perturbed flow. In addition, this lack of tools deals to also a lack of advanced control solutions, because there are not any available tool which can help on developing and testing virtually advanced control concepts for wind farms. CL-WINDCON will bring up with new innovative solutions based on wind farm open and closed loop advanced control algorithms which will enable to treat the entire wind farm as a unique integrated optimization problem. This will be possible thanks to the development of appropriate dynamic tools for wind farm simulation, at a reasonable computing effort. These tools for wind farm dynamic modelling of wind farm models will be fully open source at the end of the project, while control algorithms will be extensively validated simulations, in wind tunnel tests. Some open loop validations will be performed at wind farm level tests. Proposed control algorithms, useful for future but also for already existing wind farms. Then these will improve the LCOE, as well as the O&M costs will decrease, and improves in terms of reliability the wind turbine and wind farm. These performance improvements will be evaluated for both, wind turbine operation and wind farm operation.

CO2 capture process represents typically about 70% of the total cost of the CCS chain. Power plants that capture CO2 today use an old technology whereby flue gases are bubbled through organic amines in water, where the CO2 binds to amines. The liquid is then heated to 120-150ºC to release the gas, after which the liquids are reused. The entire process is expensive and inefficient: it consumes about 30 percent of the power generated. One of the most promising technologies for CO2 capture is based on the adsorption process using solid sorbents, with the most important advantage being the potential energy penalty reduction for regeneration of the material compared to liquid absorption . Nevertheless, the challenge in this application remains the same, namely to intensify the production of a CO2 stream in terms of adsorption/desorption rates and energy use while preserving the textural characteristics of the sorbents. The key objectives of the CARMOF project are (1) to build a full demonstrator of a new energy and cost-competitive dry separation process for post-combustion CO2 capture based on hybrid porous Metal organic frameworks (MOFs) & Carbon Nanotubes (CNTs) (2) to design customized, high packed density & low pressure drop structures based on 3D printing technologies containing hybrid MOF/CNT to be used in CO2 capture system based on fluidized beds. The morphology of the printed absorber will be designed for the specific gas composition of each of the selected industries (ceramic, petrol products and steel) and (3) to optimize the CO2 desorption process by means of Joule effect combined with a vacuum temperature/preassure swing adsorption (VTSA or VPSA)/membrane technology that will surpass the efficiency of the conventional heating procedures

INCIT-EV aims to demonstrate an innovative set of charging infrastructures, technologies and its associated business models, ready to improve the EV users experience beyond early adopters, thus, fostering the EV market share in the EU. The project will seek the emergence of EV users’ unconscious preferences relying on latest neuroscience techniques to adapt the technological developments to the users’ subjective expectations. 5 demo environments at urban, peri-urban and extra-urban conditions will be ready for the deployment of 7 use cases, addressing: Smart and bi-directional charging optimized at different aggregation levels Dynamic wireless charging lane in an urban area Dynamic wireless charging for long distance (e-road prototype for TEN-T corridors) Charging Hub in a park&ride facility Superfast charging systems for EU corridors Low power DC bidirectional charging infrastructure for EVs, including two-wheelers Opportunity wireless charging for taxi queue lanes in airports & central stations These use cases pursue innovations in the current charging solutions as well as their seamless integration into the existing transport, grid, ICT and civil infrastructures. For this purpose, the INCIT-EV Platform will be developed comprising a DSS and a set of APPs addressing the users and e-mobility stakeholders’ needs. As a result, INCIT-EV will engage 3,475 private EV drivers, as well as 10 local communities, 4 Taxis cooperatives, 4 car sharing and 4 LEVs sharing companies. In total, the project will mobilise directly an investment on the use cases of 8.872 M€. INCIT-EV consortium counts with 33 partners, including 3 OEMs, 6 charging technology providers and 5 public authorities, 6 RTOs, 2 ICT companies, 2 road infrastructures companies, 4 DSOs, 1 TSO, 2 SMEs with expertise in user behavior and e-mobility exploitation, a car sharing services SME and a EV users association. Finally, ENTSO-e or the TInnGo project on gender issues support the project.