The GOFLEX project will innovate, integrate, further develop and demonstrate a group of electricity smart-grid technologies, enabling the cost-effective use of demand response in distribution grids, increasing the grids’ available adaptation capacity and safely supporting an increasing share of renewable electricity generation. The GOFLEX smart grid solution will deliver flexibility that is both general (across different loads and devices) and operational (solving specific local grid problems). GOFLEX enables active use of distributed sources of load flexibility to provide services for grid operators, balance electricity demand and supply, and optimize energy consumption and production at the local level of electricity trading and distribution systems. Building on top of existing, validated technologies for capturing and exploiting distributed energy consumption and production flexibility, GOFLEX enables flexibility in automatic trading of general, localized, device-specific energy as well as flexibility in trading aggregated prosumer energy. Generalized demand-response services are based on transparent aggregation of distributed, heterogeneous resources to offer virtual-power-plant and virtual-storage capabilities. The sources of load flexibility include thermal (heating/cooling) and electric storage (electric vehicles charging/discharging). A backbone data-services platform offers localised estimation and short-term predictions of market and energy demand/generation, and flexibility in order to support effective data-driven decisions for the various stakeholders. Smart-grid technologies, such as increased observability and congestion management, contribute to the platform. Over 36 months, GOFLEX will demonstrate the benefits of the integrated GOFLEX solution in three use-cases, covering a diverse range of structural and operational distribution grid conditions in three European countries.

To manage energy transition, DSOs require innovative tools. Volatile renewable energy sources in combination with less predictable consumption patterns call for higher levels of observability and exploitation of flexibility. While these two challenges are traditionally treated with separate means, PlatOne proposes an innovative approach to a joint data management for both. Fully respecting the existing regulatory framework, a layered set of platforms will allow to meet the needs of system operators, aggregators and end users. A blockchain based platform is the access layer to generators’ and customers’ flexibilities able to break traditional access barriers by providing certified measures to all the players. In conjunction, certified data and signals will be used for an innovative DSO platform to locally maintain system integrity fostering confidence in flexibility operations. An upper layer will implement a new concept of blockchain-based open market platform to link the local system to the TSO domains and enhance the overall system cost efficiency. Because flexibility means customer involvement, PlatOne puts the grid users at the centre, investigates their needs and expectations and uses the underlying blockchain to unlock the potentials of higher dynamics of response. The platforms will be tested in 3 large pilots in Europe and analysed in cooperation with a large research initiative in Canada. Thanks to strategic partnerships and a unique consortium structure with an excellent network, PlatOne can offer an unprecedented effort of dissemination and exploitation with focus on DSO experts and final users.

The DIGITbrain project is deeply rooted in the innovation ecosystem of the I4MS project CloudiFacturing and the industrial platforms FIWARE and IDS, and it will build on these results, by means of extending the CloudiFacturing solution with an augmented digital-twin concept called “Digital Product Brain” (DPB) and a smart business model called “Manufacturing as a Service” (MaaS). By having access to on-demand data, models, algorithms, and resources for industrial products (i.e. mechatronic systems supporting the production of other products), the DBP will enable their customisation and adaptation according to individual conditions. The availability of industrial-product capacity will facilitate the implementation of MaaS, which will allow manufacturing SMEs to access advanced manufacturing facilities within their regions or to distribute their orders across different ones. The DIGITbrain project will address four principles that will foster the uptake of advanced digital and manufacturing technologies. A) Technology: leverage edge-, cloud- and HPC-based modelling, simulation, optimisation, analytics, and machine learning tools and augment the concept of digital twin with a memorizing capacity that records the provenance of the industrial product over its full lifecycle. B) Feasibility: support more than 20 highly innovative cross-border experiments, bringing together technology providers and manufacturing end users, and facilitating cost-effective distributed and localised production, based on on-demand manufacturing machine capacity. C) Sustainability: coach and empower DIHs to implement the smart business model MaaS and contribute to their long-term sustainability, by increasing their portfolio with services tailored to the industrial needs of their regions. D) Network of DIHs: engage DIHs across Europe that implement MaaS, enable manufacturing SMEs to co-create and experiment with digital innovations before investing, and attract national and regional funding.