dr steven firth the refit project - bath project 160307.pdf · move towards smart buildings:...
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THE REFIT PROJECTDr Steven Firth
My background in building data
• PhD – 5 minute monitoring of 100 domestic PV systems
• CaRB project - temperature monitoring in 250 homes
• CaRB project – appliance monitoring in 20 homes
• 4M project – temperature monitoring in 250 homes
• REFIT – detailed monitoring in 20 homes
• HES consultancy work – appliance monitoring in 250
homes
• EFUS 2011- peer reviewer
• Stock modelling: EHCS, EHS, Census, DUKES, DECC
regional statistics, NEED
The REFIT project
• Background• Funded by Research Councils UK – the RCUK Energy Programme
• £1.5m funding over 3.5 years, May 2012 to October 2015
• Employs 5 researchers 100% Full Time
REFIT: Personalised Retrofit Decision Support Tools for UK Homes
Using Smart Home Technology
The REFIT project team
We are trying to understand…
How data from smart meters and smart homes can be made more
personalised, valued and trustworthy
How to provide personalised retrofit advice to homeowners
How consumers accept, adapt and use Smart Home technologies
Publications to date• The role of Programmable TRVs for Space Heating Energy Demand Reduction in UK Homes. Badiei, A., Firth, S.K. and
Fouchal, F., 2014. Proceedings of Building Simulation and Optimisation 2014, UCL, London, 23-24 June 2014.
• Developing suitable models for domestic buildings with Smart Home controls. Dimitriou, V., Firth, S.K., Hassan, T., Kane, T.
and Fouchal, F., 2014. Proceedings of Building Simulation and Optimisation 2014, UCL, London, 23-24 June 2014.
• Power disaggregation of domestic smart meter readings using Dynamic Time Warping. Elafoudi, G., Stankovic, L. and
Stankovic, V., 2014. ISCCSP-2014 IEEE International Symposium on Communications, Control, and Signal Processing, Athens, Greece, May 2014.
• Decision support systems for domestic retrofit provision using smart home data streams. Firth, S.K., Fouchal, F., Kane,
T., Dimitriou, V. and Hassan, T., 2013. Presented at: CIB W78 2013 The 30th International Conference on Applications of IT in the AEC Industry.
Move Towards Smart Buildings: Infrastructures and Cities, 9th-12th October 2013, Beijing, China.
• Who uses smart home technologies? Representations of users by the smart home industry. Hargreaves, T., Wilson, C.
and Hauxwell-Baldwin, R., 2013. Paper presented at the European Council for an Energy Efficient Economy (ECEEE) 2013 Summer Study,
Toulon/Hyères, France. June 2013.
• Smart homes for smart practices? Using technology biographies to understand how smart home technologies
influence social practices. Hauxwell-Baldwin, R., Hargreaves, T. and Wilson, C., 2013. Paper presented at the Annual Conference of the
Royal Geographical Society and Institute of British Geographers (RGS-IBS). London, UK. 26-28 August 2013.
• Detecting household activity patterns from smart meter data. Liao, J., Stankovic, L. and Stankovic, V., 2014. IE-2014 10th IEEE
International Conference on Intelligent Environments, Shanghai, China, July 2014.
• Power disaggregation for low-sampling rate data. Liao, J., Elafoudi, G., Stankovic, L. and Stankovic, V., 2014. 2nd International Non-
intrusive Appliance Load Monitoring Workshop, Austin, TX, June 2014.
• Improving Energy Efficiency with Smart Home Appliance Monitoring, Seeam, A., Liao, J., Stankovic, L. and Stankovic, V., 2013.
Proceedings of EEDAL’13.
• Using smart homes: themes, linkages and disconnects in research on smart homes and their users. Wilson, C.,
Hargreaves, T. and Hauxwell-Baldwin, R., 2013. Joint Science, Society and Sustainability (3S) Research Group and Tyndall Centre Working Paper:
University of East Anglia, Norwich, UK. 3S Working Paper Series number 2013-23.
• Smart homes and their users: a systematic analysis and key challenges. Wilson, C., Hargreaves, T. and Hauxwell-Baldwin, R.,
In Press. Personal and Ubiquitous Computing.
Smart Meters, Smart Data, Smart Growth – DECC, 2015
The REFIT Household Study• A 2.5 year study of ‘real-world’ homes
• 20 local households recruited
• Install full range of monitoring and
Smart Home equipment
• Develop retrofit decision support tool
• Capture user engagement with Smart
Home technologies
• Test out retrofit advice strategies
Recruitment, visits and surveys
Dwellings (n=20)
Building survey (n=40)
Dwelling-level questions
Room-level questions
Photos
Floorplans
Sensor placements (n~1,500)
Visits (n~150)Interviews, videos, co-
design
Data
collection
‘map’
REFIT Building survey
• Access database
Appliance monitoring, Current cost - Vera box
HOBO temperature sensors
1-wire ibutton temperature sensors
RWE controls
Groundfloor First floor
Z-wave appliance controls
Mains electricity and gas consumption
Sensor measurements
• Files
Examples of datasets
• UK Government’s Household Electricity Survey
• Files
• Access database
Dwellings (n=20)
Spaces (n=324, 186 monitored)
Hobo pendant sensors (n=250)
Air temperature @ 30 mins (n=250)
Readings (n=6,155,958)
Hobo U12 sensors (n=165)
Air temp, RH, light intensity @ 15 mins (n=165)
Readings (n=5,400,949)
EZ Motion sensors
Motion, air temp, light intensity @ 1
minReadings
RWE motion sensors
Motion, light intensity @ event
timesReadings
RWE room thermostats
Air temperature, RH @ event times
Readings
Radiators (n=251, 246 monitored)
iButton sensors (n=802)
Surface temperature @ 30
mins (n=802)
Readings (n=6,253,459)
RWE TRVsAir temperature, RH, set-points @
event timesReadings
Meters (n=40, 39 monitored)
SMS gas sensors (n=19)
Gas volume @ 30 mins (n=19)
Readings (n=465,312)
Currentcostelectricity sensor
(n=20)
Power @ 6 seconds (n=20)
Readings (n= 152,661,400)
Appliances (180 monitored)
Currentcost plug sensor (n=180)
Power, temperature @ 6 seconds (n=360)
Readings (n= 1,373,952,600)
Doors / windowsRWE contact
sensorsOpen/close @
event timesReadings
Sensor
readings
‘map’
Dwellings (n=20)
Spaces (n=324, 186 monitored)
Hobo pendant sensors (n=250)
Air temperature @ 30 mins
(n=250)
Readings (n=6,155,958)
Hobo U12 sensors (n=165)
Air temp, RH, light intensity @ 15 mins (n=495)
Readings (n=5,400,949)
EZ Motion sensors
Motion, air temp, light intensity @
1 minReadings
RWE motion sensors
Motion, light intensity @ event times
Readings
RWE room thermostats
Air temperature, RH @ event
timesReadings
Radiators (n=251, 246 monitored)
Meters (n=40, 39 monitored)
Appliances (180 monitored)
Doors / windows
Sensor
readings
‘map’
Open access
• REFIT Hobo sensor readings
• https://lboro.figshare.com/
• Files
• Access database of open-access data
• REFIT Power readings
• https://pure.strath.ac.uk/portal/en/datasets/refit-electrical-load-
measurements(31da3ece-f902-4e95-a093-e0a9536983c4).html
Data analysis for journal papers
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gbXML
• XML file
The REFIT dataset
Data analysis
Heating practices
Occupancy
Change in heat practices with
advanced heating controls
Building modellingCalibrating SAP,
lumped parameter, EnergyPlus
Applications
Savings from advanced heating
controls
Optimal control strategies for
heating
Impact of possible retrofits
Analysis