And it is “flaws” in these behaviours that the company seeks to address to achieve energy savings, with a focus on larger buildings and portfolios of buildings. “We realized that if you combine smart meter data with weather data, the flaws can be diagnosed without needing to go into the building,” Ferguson explains.
Building energy savings
Ferguson says that to do demand response with buildings it is necessary to segment the market into building types. However, the “hole in the market” is in identifying sites. With the availability of smart meter data, utilities should be able to identify customers who could participate.
As an example of the possible savings that could be made, Ferguson says that for a pub chain in the UK, 15% of their annual demand could be attributed to “inconsistent behaviour.” Examples of this would include not adjusting a thermostat in line with the seasons or resetting a time clock after an outage.