The transition to the smart grid era is associated with the creation of a meshed network of data contributors that necessitates for the transformation of the traditional top-down business model, where power system optimization relied on centralized decisions based on data silos preserved by stakeholders, to a more horizontal one in which optimization decisions are based on interconnected data assets and collective intelligence. Consequently, the need for “end-to-end” coordination between the electricity stakeholders, not only in business terms but also in exchanging information is becoming a necessity to enable the enhancement of electricity networks’ stability and resilience, while satisfying individual business process optimization targets of all stakeholders involved in the value chain. SYNERGY introduces a novel reference big data architecture and platform that leverages data, primary or secondarily related to the electricity domain, coming from diverse sources (APIs, historical data, statistics, sensors/ IoT, weather, energy markets and various other open data sources) to help electricity stakeholders to simultaneously enhance their data reach, improve their internal intelligence on electricity-related optimization functions, while getting involved in novel data (intelligence) sharing/trading models, in order to shift individual decision-making at a collective intelligence level. To this end SYNERGY will develop a highly effective a Big Energy Data Platform and AI Analytics Marketplace, accompanied by big data-enabled applications for the totality of electricity value chain stakeholders (altogether integrated in the SYNERGY Big Data-driven EaaS Framework). SYNERGY will be validated in 5 large-scale demonstrators, in Greece, Spain, Austria, Finland and Croatia involving diverse actors and data sources, heterogeneous energy assets, varied voltage levels and network conditions and spanning different climatic, demographic and cultural characteristics.

Cryptographic technologies and encrypted channel communications have become a standard security pre-requisite among government and industry protocols, schemes and infrastructure. Practical quantum computing, when available to cyber adversaries, will break the security of nearly all modern public-key cryptographic systems. Practical quantum computing, when available to cyber adversaries, will break the security of nearly all modern public-key cryptographic systems. Consequently, all secret symmetric keys and private asymmetric keys that are now protected using current public-key algorithms, as well as the information protected under those keys, will be subject to exposure. This includes all recorded communications and other stored information protected by those public-key algorithms, the so-called Harvest Now Decrypt Later (HNDL) paradigm. Any information still considered to be private or otherwise sensitive will be vulnerable to exposure and undetected modification. Once exploitation of Shor’s algorithm becomes practical, protecting stored keys and data will require re-encrypting them with a quantum-resistant algorithm and deleting or physically securing “old” copies (e.g., backups). Integrity and sources of information will become unreliable unless they are processed or encapsulated (e.g., re-signed or timestamped) using a mechanism that is not vulnerable to quantum computing-based attacks. PQ-NEXT will focus on developing a comprehensive framework to facilitate the seamless transition to post-quantum cryptographic standards. This includes creating a catalog of PQC algorithms, maintenance tools, and a quantum programming language with advanced features like high-performance simulation and hybrid quantum-classical optimization, ensuring crypto-agility and security against quantum threats for large-scale pilots, targeting the financial, critical infrastructure, digital identities and telco industries.

Sustainable energy Positive & zero cARbon CommunitieS demonstrates and validates technically and socio-economically viable and replicable, innovative solutions for rolling out smart, integrated positive energy systems for the transition to a citizen centred zero carbon & resource efficient economy. SPARCS facilitates the participation of buildings to the energy market enabling new services and a virtual power plant concept, creating VirtualPositiveEnergy communities as energy democratic playground (positive energy districts can exchange energy with energy entities located outside the district). Seven cities will demonstrate 100+ actions turning buildings, blocks, and districts into energy prosumers. Impacts span economic growth, improved quality of life, and environmental benefits towards the EC policy framework for climate and energy, the SET plan and UN Sustainable Development goals. SPARCS co-creation brings together citizens, companies, research organizations, city planning and decision-making entities, transforming cities to carbon-free inclusive communities. Lighthouse cities Espoo (FI) and Leipzig (DE) implement large demonstrations. Fellow cities Reykjavik (IS), Maia (PT), Lviv (UA), Kifissia (EL) and Kladno (CZ) prepare replication with hands-on feasibility studies. SPARCs identifies bankable actions to accelerate market uptake, pioneers innovative, exploitable governance and business models boosting the transformation processes, joint procurement procedures and citizen engaging mechanisms in an overarching city planning instrument toward the bold City Vision 2050. SPARCS engages 30 partners from 8 EU Member States (FI, DE, PT, CY, EL, BE, CZ, IT) and 2 non-EU countries (UA, IS), representing key stakeholders within the value chain of urban challenges and smart, sustainable cities bringing together three distinct but also overlapping knowledge areas: (i) City Energy Systems, (ii) ICT and Interoperability, (iii) Business Innovation and Market Knowledge.

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

BioTheRoS Project aims at developing a holistic methodology that will boost the scale-up of sustainable biofuels via thermochemical conversion technologies. These are pyrolysis upgrading through hydrodeoxygenation and Fischer-Tropsch synthesis from biomass gasification. The project will bring together key actors at a both European and International level, such as technological and social experts, renewable energy-oriented associations along with industrial experts that will bring and exchange their knowledge in order to reach the project targets. Within the project, several non-food biomass feedstock will be analyzed and optimized across their entire value chain. Barriers linked with the selected feedstocks supply and pretreatment will be identified. Furthermore, AI-based predictive models will be developed, in order to be adapted to the scale-up cases. Then, the most promising biomass feedstock will be tested experimentally in the studied thermochemical reactors. At this point of the project, technical constraints and opportunities for the scale-up of the sustainable biofuels thermochemical processes will be identified. Possible synergies of blending pyrolysis oil and gasification based advanced biofuels will be investigated by a potential end-user (petroleum company). The selected data will be used as an input for advanced modelling tools, including process modelling, CFD tools and LCA/LCC/sLCA tools results of which will feed a multi-criteria analysis to derive generalized up-scaling rules and guidelines of the produced biofuels. The engagement of several stakeholders in the planning of the scaling-up of sustainable biofuels production will be crucial at this point, since they will review the project results and assess if a biofuel production technology can be delivered from the lab/pilot to a larger-scale, by taking into account operational difficulties, plant cost and plant capacity limitations (technological barriers).