The current high-speed deployment rate of non-programmable Renewable Energy Sources (RES) is making transmission network planning activities more and more complex and affected by a high level of uncertainty. Because network investments are capital intensive and the lifetime of the infrastructure spans several decades, it may happen that when a new line is commissioned it is no longer the best option and it might be partially regarded as a stranded cost. There is an on-going debate on the selection of the more effective technologies that could contribute to system flexibility. This category doesn’t only include grid technologies, but also storage elements and flexible demand, both located in transmission or provided by opportunely aggregated distributed energy sources located in distribution networks. FlexPlanning aims at creating a new tool for optimizing transmission and distribution grid planning, considering the placement of flexibility elements as an alternative to traditional grid planning. This approach aims at helping to reduce overall power system costs i.e. infrastructure deployment and operation costs, the latter in terms of procurement of energy and system services. FlexPlan is going to take into account environmental impact and footprint (impact on air quality for thermal generation, carbon footprint, impact on landscape of new T&D lines). A pre-processing tool is also created to determine location, size and associated costs for storage and flexible demand candidates. The new planning tool is first validated and then used for analysing six detailed regional scenarios at 2030-2040-2050 in order to assess the potential role of storage and flexible resources. Pan-European scenarios are preliminarily elaborated in order to provide border conditions for the regional cases. Regulatory conclusions are drawn to analyse whether opportune incentivisation procedures could be put in place by the regulators wherever some consistent advantages are demonstrated.

ECHOES is a multi-disciplinary research project providing policy makers with comprehensive information, data, and policy-ready recommendations about the successful implementation of the Energy Union and SET plan. Individual and collective energy choices and social acceptance of energy transitions are analysed in a multi-disciplinary process including key stakeholders as co-constructors of the knowledge. To account for the rich contexts in which individuals and collectives administer their energy choices, ECHOES utilizes three complementary perspectives: 1) individual decision-making as part of collectives, 2) collectives constituting energy cultures and life-styles, and (3) formal social units such as municipalities and states. To reduce greenhouse gas emissions and create a better Energy Union, system change is required. While technological change is a key component in this change, successful implementation of that change relies on the multi-disciplinary social science knowledge that ECHOES produces. Therefore, three broad technological foci which will run as cross-cutting issues and recurrent themes through ECHOES: smart energy technologies, electric mobility, and buildings. All three technology foci address high impact areas that have been prioritised by national and international policies, and are associated with great potential savings in greenhouse gas emissions. ECHOES’ uniquely comprehensive methodological approach includes a representative multinational survey covering all 28 EU countries plus Norway and Turkey, syntheses of existing data and literature, policy assessments, as well as quantitative experiments, interviews, netnography, focus groups, workshops, site visits and case studies in eight countries. All data collected in the project will be systematised in a built-for-purpose database that will serve both as an analytical tool for the project and as a valuable resource for stakeholders and researchers after the project’s lifetime.

AI-EFFECT will establish a European Testing Experimentation Facility (TEF) for developing, testing, and validating AI applications in the energy sector. It will be distributed across nodes, virtually connecting existing European facilities. The solution includes a digital platform leveraging European building blocks for interoperability, flexibility, and scalability. AI-EFFECT aims to be a central hub for testing energy sector AI algorithms, fostering collaboration across utilities, industry, academia, and regulatory authorities. Resilience is ensured through a decentralized design, aligning with the EU Energy Data Spaces framework. The project involves developing 4 use cases/nodes addressing key energy challenges, focusing on district heating, transmission congestion management, DERs integration, and energy communities. The framework involves utilities proposing challenges, vendors developing algorithms, and researchers contributing solutions. Each use case has evaluation criteria, baselines, and benchmarks. AI certification procedures, including interpretability and verification, will be implemented, and the evaluation process will be automated. Benchmarks and certifications are publicly available, encouraging open-source contributions. The project breaks sector barriers, leveraging existing infrastructures and technologies for cross-sectoral collaboration. The platform enforces policies for data quality, integrity, and privacy, promoting controlled data sharing and collaboration. Secure APIs ensure controlled interactions, including risk and security assessments. The consortium explores certification, standardization, and quality requirements in line with the EU AI Act. Governance and business models for the enduring AI-EFFECT will be examined, considering the EU AI Act. The consortium aims to make AI-EFFECT a sustained business beyond initial funding, seeking input from members, other TEFs, and regulatory authorities for the preferred model.

The increased shares of renewable energy, combined with the rise in distributed generation are profoundly impacting electricity markets and the demand for system flexibility and business models of traditional utilities and distribution companies. This requires a rethinking of the way power sector markets are designed and operated as well as a timely and efficient adaptation of traditional market and operational mechanisms. The recent created clean energy legislation requires that Electricity Markets are created with “active customers/consumers and citizens” and “energy communities”. This new legislation asks for enhanced roles of DSOs and TSOs, particularly for a better coordination among stakeholders, procurement of ancillary services, flexibility, data management and integration of Electric Vehicles and must adapt network access and congestion tariffs & charges (flexibility). Markets must encourage the development of more flexible generation and demand and the elimination of obstacles to market-based pricing, remove regulatory distortions, enable scarcity pricing, interconnection, Demand Side Response and storage. Final customers must be enabled to buy electricity generation from aggregated, multiple power-generating facilities or load from multiple demand response facilities to provide joint offers on the electricity market and be jointly operated in the electricity system. Citizens must be offered competitive prices. BeFlexible aims at increasing energy system flexibility, enhancing cooperation among DSOs and TSOs and easing participation of all energy-related actors through the validation and large-scale demonstration of adapted and proven cross-sectoral services, interoperable platforms for smart grids operation developing further already demonstrated solutions and the creation of required system architecture framework to enable the creation of new business models providing additional value to meet consumers’ needs in compliance with a stable regulatory framework.

FLOW boosts and demonstrates multifaceted EV smart charging and V2X integration into energy systems thanks to a range of comprehensive solutions providing answers to the needs of all actors involved. These solutions include highly replicable user-centric products, concepts, configurations and mechanisms to optimise operation. Cross-sector harmonisation and standardisation is delivered to facilitate activities of stakeholders and EV users. Advanced interoperable solutions enhance planning, operation and assessment of EV charging for seamless integration into the energy system and identification of the most appropriate scenario based on a multi-criteria model, leveraging appropriate business models and tailored services. FLOW also delivers multi-actor orchestration to ensure data exchange and synchronisation across actors for VGI and EV flexibility services. These solutions are deployed in 5 demonstrations (including 2 testbeds and 3 large-scale demos) in CZ, IE, IT, DK, and ES covering a wide range of applications (e.g., V1G/V2B/V2H/V2G, public/private/semi-public, urban/rural/touristic, car/small- & medium commercial) to validate and quantify the benefits associated with enabling and valorising EV flexibility, alleviating grid challenges, and fostering mobility and energy decarbonization. Expected impacts include GHG emission reduction of 0.6MtCO2/y, grid reinforcement saving up to 1.3B€/country, increase local RES by 14% and avoid RES curtailment by 4TWh. The consortium includes 26 partners from 9 European countries covering the entire value chain, including OEM, technology providers, CPOs, aggregators, DSOs, TSO, ICT developers, RTOs experts in users, mobility, harmonisation, optimisation tools, energy integration and leveraging the networks of umbrella associations from the electromobility and the DSOs. These ensure replicability and scalability to foster the EV penetration trends, thanks also to comprehensive communication, dissemination and exploitation actions