Data – the currency of energy efficiency for the 2020’s

Data – the currency of energy efficiency for the 2020’s

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.”



Metering, Monitoring and Data – the measure of sustainability

One of the recurring themes in plans for recovery from the coronavirus pandemic has been a determination in government circles to invest in a greener, more sustainable future.

We are all only too aware of the tragic human cost and economic turmoil wreaked by the crisis, but one unexpected consequence of the new way of working has been lower carbon emissions. The government, in the words of the Prime Minister, is looking to ‘entrench those gains’ through the recovery phase on the road to net-zero emissions.


Help your business save energy…and be kind to the planet

Business activity accounts for a significant percentage of Britain’s overall energy consumption, but with some simple steps and innovative digital analytical tools it is possible to make considerable savings and to be kinder to the planet.

To coincide with Big Energy Saving Week (January 20 – 26), George Catto, Client Services Director at AMR DNA, an Energy Assets service powered by kWIQly, which applies artificial intelligence to optimise energy efficiently, offers his energy insight and provides three energy saving tips for businesses.

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