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| The EU Chips JU project LoLiPoP-IoT is delighted to be partnering with the PSMA International Energy Harvesting Workshop (EnerHarv) to be held in Madrid 27-29 May, 2026. During the first day of EnerHarv 2026, LoLiPoP-IoT will have dedicated sessions, including oral presentations, posters, and demos. |  |
This will be the project’s final dissemination event, where final application outcomes of our UCs and related technical developments will be presented. The results will evidence battery life extensions >300%, and in many cases the potential for full power autonomy. This demonstrates that it is essential to think about power at the early conceptual stages of IoT system designs.
EnerHarv will have many more exiting talks and will have an open call for posters and demos. Registration is open now and you can find more information at www.enerharv.com
The LoLiPoP-IoT team is looking forward to meeting you in Madrid to compare technologies, give advice on how to develop new systems, and discuss collaborations for more power-autonomy in IoT solutions.
About LoLiPoP-IoT:
In LoLiPoP-IoT innovative Long Life Power Platforms are being developed to enable retrofitting of wireless sensor network (WSN) modules in IoT applications. It comprises energy harvesting (light, heat, vibrations, RF) and micro-power management platforms as well as application optimised WSN modules. The partners work on minimizing power consumption and maximising use of the ambient energies to assure long battery life of the WSN modules, in many cases full power autonomy. The APPLICATION (industry 4.0, smart mobility and energy efficient buildings) Use Cases drive the development of algorithms to perform FUNCTIONALITIES like asset tracking, condition monitoring (for predictive maintenance) and energy/comfort optimization in buildings.
LoLiPoP-IoT creates an ecosystem of 40 developers, integrators and users from 10 European countries to develop these platforms thinking about power/battery life, ease of installation and maintenance. The project is driven by 10 laboratory- and field-based use cases to initially demonstrate their technical viability and then potential impact.
