<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-09-03T10:35:59Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/E242A296-887E-43F9-9B0C-87A8414E94F3" ns1:id="E242A296-887E-43F9-9B0C-87A8414E94F3"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/DE7256F3-CE82-4AAF-AAF3-7656DF570006" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/ACC0E6D9-92AB-4858-A635-CA99FB92C902" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/01F2924C-FFB4-481B-B8F0-31234D33F0FA" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/ACC0E6D9-92AB-4858-A635-CA99FB92C902" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2019-06-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/93D57C7A-2FFA-4C0B-ADFA-67DAAB0AB865" ns1:rel="FUND" ns1:start="2018-01-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">104004</ns2:identifier></ns2:identifiers><ns2:title>Multi-source power management to enable autonomous micro energy harvesting systems.</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Trameto plans to develop a proof-of-concept of innovative power management circuits for autonomous micro energy-harvesting systems (AMES). Such a system will scavenge &amp;micro;W to mW of ambient energy from multiple and distinct sources such as indoor light, thermal gradients and vibration to eliminate batteries from wireless sensor nodes in the IoT. Each energy source has widely different electrical characteristics. This will require innovative multi-source power management to enable effective AMES operation across varying operating conditions. In order to achieve best in class performance, Trameto will collaborate with the University of Exeter who will develop novel control systems to optimise AMES performance.</ns2:abstractText></ns2:project>