Advanced Materials for Miniaturised Energy Harvesting Systems

Expected Impact:The main impacts of this Challenge will be:A new generation of energetically autonomous systems enabling new services that will improve the life of European citizens through applications in areas such as point of care diagnostics, smart sustainable cities etc.Supporting sustainability in energy consumption and production in keeping with the ambitions of RePowerEU[1] and the Green Deal[2], and Enhancement of the sustainability of IoTs and energetically autonomous systems in general. Expected Outcome:Ambitious proposals put forward under this call will:identify a new generation of advanced materials for miniaturised energy harvesting modules, andachieve TRL 4 for the resulting energetically autonomous systems. Portfolio ApproachThe portfolio of selected projects should lead to the development of a variety of advanced materials applied to a range of miniaturised energy harvesting modules and final integrated systems.To achieve this objective, the following factors will inform the choice of projects in the portfolio:Phenomena exploited to harvest energy from the environment (e.g. solar, thermoelectric, piezoelectric, nanotribological etc.)Composition of the proposed advanced materials, andField of application (e.g. agriculture, automotive, health monitoring, wearables, smart city management, energy management, industrial monitoring etc.). The selected projects will be assigned to lead and/or engage in portfolio activities centred on the following priorities: benchmarking to compare proposed technologies, phenomena exploited, advanced materials used and approachessharing scientific considerations, results on the different physical/chemical phenomena studied to advance the knowledge and foster new disclosures in the field with potential shifts in the paradigmsharing insights on integration of the modules to solve potential issues and help advance towards delivering effective operational energetically autonomous systemsdeveloping an integrated approach with