In LoLiPoP IoT innovative Long Life Power Platforms will be developed to enable retrofitting of wireless sensor network (WSN) modules in IoT applications. This includes the development of algorithms to perform FUNCTIONALITIES like asset tracking and condition monitoring (for predictive maintenance). They can be used in APPLICATIONS such as industry 4.0, smart mobility and energy efficient buildings. LoLiPoP IoT creates an ecosystem of developers, integrators and users to develop these platforms thinking about power/battery life, ease of installation and maintenance. The project is driven by 12 laboratory- and field-based use cases to initially demonstrate their technical viability and then potential impact. Expected impacts from the LoLiPoP IoT use cases include; a) typical battery life increase from ~18 months to >5 years, b) Reduced maintenance overhead of mobile and fixed assets from >30% to 10% in production time, cycle time and inventory costs, e) Improved comfort levels and well-being of building occupants whilst reducing energy footprint by >20% and f) Revenues of >€10M PA for LoLiPoP IoT industry partners offering asset tracking & condition monitoring services. All of this is achieved by developing and integrating: a) Multi-source Energy Harvesting solutions (vibrational and photovoltaic transducers, PMICs and discrete circuits), b) Digital interfacing to contextually adapt mode settings of WSN devices and connected systems to minimise power drain, c) Ultra low power components for WSN, d) Innovative Architectures for wireless data collection that minimize battery power drain, e) Simulation Models to optimise component design and integration and f) embedded AI/ML in IoT devices, for lower latency and power consumption and higher robustness.

DENiM develops an interoperable digital intelligence platform enabling a collaborative approach to industrial energy management. DENiM provides an integrated toolchain to provision advanced digital services including secure edge connectivity leveraging IoT, data analytics, digital twin, energy modelling and automation culminating in the delivery of continuous energy impact assessment, together with energy control and optimisation across existing production facilities, processes and machines. DENiM identifies skills gaps and develops training to build competences to support energy sustainability in smart manufacturing processes through the seamless integration of digital technologies, education and training activities. In view of considering the human factor, DENiM will consider existing and future regulations from a data protection, legal, ethical and energy policy perspectives, which informs the DENiM technological developments and pilot site interventions. In essence, DENiM accelerates energy efficiency transformation in manufacturing systems by enabling the right information and right technology to be available at the right time and in the right form, made accessible to the right people, empowering smart energy efficient decision-making within factories and across entire value chains. DENiM leverages the concept of process integration, taking a holistic approach to energy efficient manufacturing systems management and considers the interactions between the business, technology, infrastructure, and the workforce through the use of engineered systems that integrate both operational technologies and information technologies to accurately identify and map energy flows across the complete manufacturing value chain facilitating the integration of energy efficiency into existing business processes through digitalisation. This will result in a significant reduction of energy across diverse industrial sectors with substantial cost savings derived from optimised operation

InfraStress addresses cyber-physical (C/P) security of Sensitive Industrial Plants and Sites (SIPS) Critical Infrastructures (CI) and improves resilience and protection capabilities of SIPS exposed to large scale, combined, C/P threats and hazards, and guarantee continuity of operations, while minimizing cascading effects in the infrastructure itself, the environment, other CIs, and citizens in vicinity, at reasonable cost. In fact, InfraStress will develop TRL4+ solutions from preceding research and innovation towards TRL7 level producing maximum adoption of the proposed methods and solutions. Addressing the current fragmentation of available security solutions and technology, InfraStress will provide an integrated framework including cyber and physical threat detection, integrated C/P Situational Awareness, Threat Intelligence, and an innovative methodology for resilience assessment – all tailored to each site. InfraStress adopts a user-driven approach carried out through: a) delivery of usable and user-friendly Services and Applications for C/P protection and resilience; b) technical activities driven by and receiving active input from end users, i.e. SIPS and relevant stakeholders; c) a comprehensive set of 5 real-world Pilots and Evaluation activities to be carried out by User partners. InfraStress matches key impacts not only in response to the Work Programme Call but also at Strategic, Socio-economic and Market levels. In fact InfraStress was conceived since the beginning with a strong business vision in mind and will carry out effective exploitation actions ensureing successful go-to-market. Tailored activities are also planned to rise a a culture of participatory security to involve all stakeholders including companies, workers, public authorities, citizens and civil society. InfraStress involves 27 partners of excellence from 11 countries with very cross-cutting and complementary competences and excellent track records, including 5 SIPS operators.

In the coming years, the European industry must assume the challenge of adopting clean and climate-neutral industrial value chains, producing sustainable products. Adopting digital systems will radically change the industry with products and services through innovative production processes. In particular, fully digitalised laser-based additive manufacturing methods are very versatile and thus can be implemented in different industries. Furthermore, energy saves against conventional manufacturing and material waste but also by design optimization can be achieved. However, these parts also required of additional surface treatments, which are nowadays energy and material-consuming, increasing costs and harming the environment. In addition, new concepts for increasing the added value of AM parts must be developed, for instance, by producing advanced surface functionalities in critical applications. The main objective of the CLASCO project is to develop a universal and digitalised laser-based post-process route for creating functionalised AM parts with complex shapes. While the complex parts will be produced by Laser Powder Bed Fusion, Laser polishing and laser surface micro-structuring using Direct Laser Interference Patterning will be combined in a unique manufacturing system. This route will substitute several resource-consuming processes, reducing the environment's negative impact. The implementation will allow substituting standard environmental non-friendly methods and even obtaining a better performance. In addition, different in-line monitoring methods, specifically plasma sensors and infrared cameras will be implemented. In this way, a virtual representation of the process for each part will be possible (digital twin), creating an entirely digitised product. The project's impacts will be analysed to optimise the sustainability of processes and products across the entire life cycle.