SOURCE-LINKED INTELLIGENCE
Energy-Autonomous Microgrids: Integrated DC Energy Scavenging and On-Chip Micro-batteries for Self-Sustained Smart Electronics
Energy-Autonomous Microgrids: Integrated DC Energy Scavenging and On-Chip Micro-batteries for Self-Sustained Smart Electronics Artificial intelligence now depends on continuous, real-time data from vast IoT networks (microsensors, RFID, wearables, smart infrastructure). With >50 billion devices projected by 2030, disposable batteries and wiring are neither sustainable nor operationally manageable. Prior self-powered schemes pairing piezoelectric/triboelectric harvesters with micro-supercapacitors often yield irregular AC, high impedance and rapid self-discharge, forcing rectifiers/PMICs and undermining long-term operation. This Global Fellowship will deliver the first Autonomous-µGrids: a fully printed, monolithically integrated platform that directly couples DC tribovoltaic and moisture-electric generators with on-chip Zn//I2 micro-batteries to supply stable, maintenance-free power without external rectification or bulky power management. The research is organised into four objectives : (i) fabricate on-chip, h
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 276187.92
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.