<?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="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/91A1DECD-82DE-4DDB-A2FF-BA6B60766A58" ns1:id="91A1DECD-82DE-4DDB-A2FF-BA6B60766A58"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/7C75288E-7285-4BC6-BB46-13335839DE0A" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/53FB2C01-36C8-4670-989B-FCF72315532E" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/90123728-DF48-4E92-B320-C01DD33746C0" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/32F1E475-112A-41D7-8C93-9BF4F300859A" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/53FB2C01-36C8-4670-989B-FCF72315532E" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/9213669F-8830-4F99-91CE-74F1851F33C4" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2017-06-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/D2F25F96-84E0-4AB5-82EA-94C7845F2140" ns1:rel="FUND" ns1:start="2014-06-30T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">101837</ns2:identifier></ns2:identifiers><ns2:title>Energy Management &amp;amp; Analysis Exploiting Exisitng BMS Infrastructure &amp;amp; Data</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Collaborative R&amp;D</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Our proposal is to acquire &amp;amp; apply a broad range of knowledge &amp;amp; skills to substantially expand the capabilities &amp;amp; applications of an existing, Ashden Award 2014 nominated, building performance analysis platform.

The current platform extracts data from existing BMS systems &amp;amp; undertakes analysis far beyond the capabilities of the BMS (designed for control, not analysis). It has already identified &amp;pound;500k of annual saving at King College London University &amp;amp; extensive savings at other sites.

Our proposal is to collaborate with EDSL, Verco &amp;amp; LSBU to: draw on data-mining techniques to increase speed &amp;amp; scope of analysis, interface with modelling software to compare design Vs performance, interface with strategic carbon management software, enable dynamic demand control &amp;amp; develop interfaces for a range of audiences – including education &amp;amp; training.</ns2:abstractText></ns2:project>