The RESONANCE project develops an innovative software framework that provides means for rapid development and plug-and-play deployment of standard-compliant Customer Energy Manager (CEM), Resource Manager (RM), and their aggregation solutions. The CEM, specified in the EN 50491-12 standard family, is the next-generation demand-side flexibility management (DSFM) solution in Europe. CEM is a software agent that automates DSFM by interacting with smart appliances (represented by RMs), aggregators, and the markets to maximize customer benefits. According to the new EN 50491-12-2 standard, CEMs are envisioned to 1) provide a more deterministic demand response, and 2) be able to optimize consumer benefits with respect to multiple incentives and optimization targets. To achieve this, there is a need for accurate models of flexible assets (smart appliances) and model predictive control techniques to automate the decision-making within the customer premises. The RESONANCE Framework will facilitate the adoption of CEMs as the next generation DSFM system by significantly reducing the development efforts and costs. This is achieved with 1) a standard-compliant and modular system architecture, and 2) an innovative modeling pipeline that combines automated machine learning (AutoML) with physics-based modeling to provide accurate and robust models of flexible assets with minimum effort. The project brings together 19 partners (including a cluster with 40 organizations) with inter-disciplinary expertise and forms a basis for a cross-sector energy ecosystem that significantly contributes to the mobilization of DSFM at a large scale. Large scale piloting in six member states with a variety of consumer sectors, flexible assets (e.g. electric vehicles, HVAC systems, and white goods), stakeholders, and market settings (including sector integration with district heating) is utilized for demonstrating and validating the scalability and replication potential of the solutions.

The WeForming project aims to change the paradigm of efficiently managing energy in buildings, paying special attention to their interaction with the energy ecosystem (energy networks and markets) by developing, deploying and demonstrating innovative solutions addressing (i) digital operation, management and maintenance and (ii) efficient and interactive energy processing for Intelligent Grid-interactive Efficient Buildings (iGEBs), able to operate intelligently in a multi-energy, multi-user, multi-sector, multi-market, and multi-objective environment, without forgetting quality, comfort, health and acceptation. The WeForming Framework will deploy an umbrella framework covering all aspects around the establishment and adoption of iGEBs in cities, which consists of (i) a Building Operational Pillar encompassing all assets of iGEBs, including the energy management systems and the different platforms, aiming towards the building operational optimization, the actors and the actual flexibility resources, generation and storage components; (ii) a novel Interoperability Assurance Pillar which leverages on, adapts, evolves, and specifically validates leading-edge interoperable architectures; (iii) a Business Pillar including all necessary processes to bring the proposed solutions to the market, through the design and validation of sustainable and competitive business models, ensuring the economic viability of the investments needed for the establishment of smart cities featuring new and refurbished iGEBs; (iv) a Smart-city enabling Pillar integrating iGEBs as modular units addressing all different non-technical barriers and limitations for the widespread deployment of the proposed solutions that will create a stock of active buildings acting as active utility nodes within cities.

Modern critical infrastructures are becoming increasingly “smarter” (e.g. cities). Making the infrastructures “smarter” usually means making them smarter in normal operation and use: more adaptive, more intelligent… But will these smart critical infrastructures (SCIs) behave equally “smartly” and be “smartly resilient” also when exposed to extreme threats, such as extreme weather disasters or terrorist attacks? If making existing infrastructure “smarter” is achieved by making it more complex, would it also make it more vulnerable? Would this affect resilience of an SCI as its ability to anticipate, prepare for, adapt and withstand, respond to, and recover? These are the main questions tackled by this proposal. The proposal envisages answering the above questions in several steps. (#1) By identifying existing indicators suitable for assessing resilience of SCIs. (#2) By identifying new “smart” resilience indicators (RIs) – including those from Big Data. (#3) By developing a new advanced resilience assessment methodology (TRL4) based on smart RIs (“resilience indicators cube”, including the resilience matrix). (#4) By developing the interactive “SCI Dashboard” tool. (#5) By applying the methodology/tools in 8 case studies, integrated under one virtual, smart-city-like, European case study. The SCIs considered (in 8 European countries!) deal with energy, transportation, health, water… Results #2, #3, #4 and #5 are a breakthrough innovation. This approach will allow benchmarking the best-practice solutions and identifying the early warnings, improving resilience of SCIs against new threats and cascading and ripple effects. The benefits/savings to be achieved by the project will be assessed by the reinsurance company participant. The consortium involves 7 leading end-users/industries in the area, 7 leading research organizations, supported by academia and lead by a dedicated European organization. External world leading resilience experts will be included in the CIRAB.

HORSE aims to bring a leap forward in the manufacturing industry proposing a new flexible model of smart factory involving collaboration of humans, robots, AGV’s (Autonomous Guided Vehicles) and machinery to realize industrial tasks in an efficient manner. HORSE proposes to foster technology deployment towards SMEs by developing a methodological and technical framework for easy adaptation of robotic solutions and by setting up infrastructures and environments that will act as clustering points for selected application areas in manufacturing and for product life cycle management (production and/or maintenance and/or product end of life). The main strategy builds on existing technology and research results in robotics and smart factories and integrates them in a coherent framework. The suitability of the resulting framework is not only driven by but will be validated with end-users - manufacturing companies- in two steps: In the first, the joint iterative development of the framework together with selected end-users will take place (Pilot Experiments). In the second, its suitability and transferability to further applications will be validated with new end users, which are recruited by an Open Call mechanism. The novel approaches of HORSE are the integration of concepts such as (physical) human-robot interaction, intuitive human-machine interfaces, and interaction between different robots and machines into an integrated environment with pre-existing machines and workflows. Safety of the human worker as well as reduction of health risks through physical support by the robotized equipment will contribute to better overall manufacturing processes. In these, pre-defined workflows to be customized are the basis for servitisation, for the entire value chain that allow rapid reconfiguration of the robots based collaborative production processes. HORSE aims to foster advanced manufacturing technology deployment by industries and especially SMEs.