Digitalisation in energy metering and analytics is helping businesses cut through vast amounts of consumption data to take control of building performance and reduce their carbon footprint.
One company at the leading edge of the data revolution is Energy Assets, which provides industrial and commercial end users with metering and analytics to make data count when it comes to energy efficiency gains.
To date, one of the biggest challenges facing energy managers has been the sheer volume of consumption data delivered automatically by advanced meters. Now though, analytics and artificial intelligence (AI) are cutting through this information overload to bring clarity where there was fog and automated action where there was human interpretation.
“The wider context for advanced metering and intuitive data analytics is climate change and the government’s longer term net zero carbon emissions commitment, but for businesses and public sector organisations taking control of energy drives an immediate and clear financial gain alongside the environmental benefit,” says David Sing, Group Managing Director (Assets) at Energy Assets.
“For example, our AI tool, AMR DNA, can analyse years of half hourly consumption data and quickly identify patterns of energy waste that it would take an army of managers to find. In the case of one local authority, it took just 15 minutes to identify waste valued at £25,000. From there, the data can be used progressively to ‘learn’ what optimal energy performance looks like for each property in the portfolio, offering the potential for a reduction in carbon output and ongoing financial benefit.
“This is the measure of the value created by advanced metering when AI and analytics are applied,” said David Sing.
The AMR DNA AI tool is augmented within the Energy Assets portfolio by the WebAnalyser platform, which captures data from gas, electricity and water meters via automated meter reading technology and presents the detail within a single dashboard covering consumption for each utility.
The web portal can be configured to deliver reports specified by energy managers, by site, by meter and by profile. This helps establish trends for tracking energy performance, with alarms linked to consumption events outside set tolerances.
“With these tools in their armoury, all industrial, commercial and publicly-funded organisations can play their part in tackling climate change,” said David Sing.
“At the same time, the detailed consumption data we can provide can also contribute to a better understanding of the wider network capacity requirements in the future, which in turn can influence investment in innovations such as demand side management, peaking plant supply, renewables and battery storage. The nation’s energy profile is predicted to change as we move towards the net zero emissions commitment and consumption data can help to show where network reinforcement may be needed.”