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The High Frequency Appliance Disaggregation Analysis Project will carry out data analysis and exploratory proof-of-concept algorithm development to demonstrate the opportunity for using disaggregated utility data as an important input to home energy management
Expressions of interest should be submitted to the ETI by Friday 27 January 2017
The Energy Technologies Institute (ETI)
is seeking partners for a new project which will analyse detailed utility data from
domestic properties and develop algorithms for use in its Smart Systems and
Heat (SSH) programme.
The ETI has identified the use of utility
data such as gas, water and electricity to monitor in more detail the use of
energy within domestic dwellings as an important opportunity to manage energy
use, particularly heating, in the home more effectively.
The Energy Systems Catapult (ESC) who are delivering the SSH
programme for the ETI is running a project to gather detailed utility data and
will install Home Energy Management System (HEMS) equipment in five houses this
winter along with additional devices that will provide information on the
water, gas and electricity use.
This new High Frequency Appliance Disaggregated Analysis project
will analyse this detailed utility data (including energy use in summer and
winter periods) to provide greater insight into the potential for extracting
valuable information from this type of data and develop algorithms to inform
efficient energy use.
Susie Winter
Project Manager
The ESC will be collecting six months of detailed utility data from five houses in the first half of 2017 and this Expression of Interest is seeking organisations with the capability to carry out analysis and exploratory algorithm development using this data from the middle of 2017 to the end of March 2018.
We hope the analysis will help inform further development of intelligent home energy management systems for use in UK housing stock.
Expressions
of interest should be submitted by Friday 27 January 2017.
