The GREENERNET project will develop a new highly innovative organic redox flow battery, integrated in an optimized microgrid infrastructure operated by an intelligent Energy Management System. The redox flow battery is a promising technology for both medium and large-scale renewable and grid energy storage, but is limited by its high price, low energy density and poor stability of the electrolyte solutions (e.g. vanadium, zinc). Starting form an internally developed prototype of an energy storage system (ESS) of 1kW based on new organic AQDS (anthraquinone di-sulphonate), we will enhance and scale up this prototype flow battery into an innovative cheap (< €150 / kWh) and safe 10 kW ESS, integrated in a smart microgrid for distributed energy applications, with a significant improvement over the existing technology. We are focusing on the distributed storage and renewables integration for residential and communities’ microgrids that represent a large market in Europe, that is estimated to grow with a CAGR of 35% from $ 0.7 billion in 2014 to $ 4.2 billion in 2020. The innovation of this action is twofold: • Develop and commercialize a storage system module of 10 kW, 40 kWh based on a breakthrough technology, originally developed by Harvard University and implemented in the 1kW battery prototype by GES and UTV, that relies on the electrochemistry of naturally abundant, inexpensive, small organic (carbon-based) molecules called quinones, which are similar to molecules that store energy in plants and animals. • Develop an innovative Microgrid Management Platform to optimize the use of the AQDS flow battery, able to monitor microgrid components (loads, energy sources, storage) and to continuously perform a multi-objective optimisation of the energy flows between them and the Power Distribution Grid whose requests will be taken into account by dynamically adhering to Demand Response programs. The Consortium revenue target is to reach € 70m by 2020 with a market share of 2%

IN2ZONE will design and test a prototype next generation transition zone solution that provides a step-change in track support conditions, resulting in a reduction in maintenance interventions. The new solution will combine the newest existing transition solutions with technological advances from other sectors, including recent advances in material science. This interdisciplinary approach will improve both the track super-structure and sub-structure designs, thus ensuring the whole system stiffness is optimised. To increase lifespan, advanced automatic irregularity correcting sleepers will be designed, that are synthetic and optimised for transition zones. This will enable the transition zone solution to self-correct minor vertical track geometry irregularities/faults. Further, the solution architecture will be modular to ensure the benefits are realised in minimal time. The new design will be optimised using the latest advances in discrete and finite element numerical simulation tools, coupled with computational fluid dynamics. The concept will then be constructed and tested at large-scale in an accelerated track testing laboratory facility. This gives a rare and valuable opportunity to develop and test the transition zone solution installation, maintenance and decommissioning, while also assessing long-term settlement behaviour. In addition to the new design, an advanced resilience-based monitoring specification for transition zones will be developed, which will fuse data from multiple track, vehicle and satellite sensors, using edge computing and artificial intelligence to achieve an Industry 4.0 approach for just-in-time maintenance. IN2ZONE’s pan-European consortium comprises 7 stakeholders covering all areas of expertise necessary to execute the project, including three companies, two research Universities, one Infrastructure Manager and one Rail Association.

For the purpose of creating digitalisation and automation solutions Arrowhead Tools adresses engineering methodologies and suitable integrated tool chains. With the global aim of substantial reduction of the engineering costs for digitalisation/automation solutions. Thus the Arrowhead Tools vision is: - Engineering processes and tool chains for cost efficient developments of digitalization, connectivity and automation systems solutions in various fields of application For the further and wider commercialisation of automation and digitalisation services and products based on SOA, Arrowhead Framework and similar technologies there is a clear need for engineerings tools that integrates existing automation and digitalisation engineering procedures and tool with SOA based automation/digitalisation technology. For this purpose the Arrowhead Tool’s grand challenges are defined as: - Engineering costs reduction by 40-60% for a wide range of automation/digitalisation solutions. - Tools chains for digitalisation and automation engineering and management, adapted to: 1. existing automation and digitalisation engineering methodologies and tools 2. new IoT and SoS automation and digitalisation engineering and management tools 3. security management tools - Training material and kits for professional engineers The results will create impact on: - Automation and digitalisation solution market - Automation and engineering efficiency and the SSBS market - Automation and digitalisation security - Competence development on engineering of automation and digitalisation solution

Background: Health consumes ~10% of GDP in the OECD, and grows an unsustainable 7-11% per year, and is ~1% of GDP for intensive care alone, driven by chronic diseases and aging populations. Limited funding leads to an ‘equity gap’ in health funding, where more people go untreated, less treated (rationing), and/or rely on private insurance and care, creating and exacerbating inequality. Problem: This labor intensive sector has not made productivity gains, and increasing demographic demand for intensive care is multiplied by a growing need for personalized, precision solutions to care. Challenge: Reverse this trend by linking engineering, medicine, and industry to improve the quality, precision and productivity of intensive care, and create a template for other areas of care. Objectives: Use model-based methods and novel system identification technologies to create validated virtual patient models for use in personalizing care to enhance its quality and productivity. Proposed Solution: Tight collaboration between engineering research, clinical medicine, and industry to create, validate, and implement precision, intensive care medicine (DCPM) using in-silico virtual patients. The proposal authors are world-leaders in creating highly validated virtual patients, and translating them to clinical use to provide precision, next-generation productive, intensive care solutions. It will merge model-based methods in metabolic, cardiovascular and pulmonary systems – 3 leading causes of intensive care admission, mortality and cost - to create individual (and then combined) virtual intensive care patients to personalize care at the bedside. The consortia leverages significant research funding in 3rd country partners for model-based medical solutions. This proposed mobility optimizes this research for maximum social and economic impact in the EU and NZ – Doing medicine better via inter-disciplinary, in-silico solutions to productivity in intensive care.