How can AMR DNA identify energy waste bringing savings of 25% on gas and 15% on power?

How can AMR DNA identify energy waste bringing savings of 25% on gas and 15% on power?

As lockdown eases, many energy managers are considering what new working patterns will have on their company’s energy usage.

AMR DNA is a highly sophisticated energy data analytics tool that uses artificial intelligence (AI) to help energy managers plan for the future. AI is improving building energy efficiency, reducing carbon output, bearing down on cost, and informing better energy deals.

By using AMR DNA, it is possible to interrogate years’ worth of historic half-hourly data in a matter of hours and create a model that continuously evaluates data and progressively ‘learns’ what optimal energy performance in any building looks like.

AMR DNA can help transform energy performance by:

  • Spotting tell-tale ‘fingerprints’ of energy waste
  • Identifying patterns of waste unique to each building
  • Providing a checklist of priority actions to drive efficiency and reduce energy costs
  • Modelling multiple building occupation/ operation scenarios to enable rapid energy system reconfiguration

Why not find out more at our webinar

George Catto, Client Services Director on behalf of AMR DNA will be hosting a webinar on 10th June at 10am titled ‘How AI can identify energy waste – identify energy savings and demystify your energy data with AI’. George will explain how private and public sector organisations, including major retailers, local authorities, and universities, are turning to digital tools such as AMR DNA, to make sense of their energy data and to ‘map’ future energy consumption scenarios.

George says: “The move to AI is being driven by the realisation that while it’s easy for managers to monitor consumption through desktop portals, the volume of data being automatically delivered through advanced metering would require an army of analysts to identify energy waste and then formulate appropriate strategies,”.

Says George: “Identifying and eradicating energy waste can be a particularly pressing challenge in an environment of change, when building occupancy levels are fluctuating.

“However, using artificial intelligence, AMR DNA can determine where and how energy is being used and wasted. With automated and progressive analysis, we are able to spot the trends and actions that will inform the best ways to save energy.”

AMR DNA finds and flags up areas for energy efficiency improvement because the system progressively ‘learns’ what best performance looks like. From this benchmark, energy managers can use the AI-driven model to develop building profiles that fit multiple contingency planning scenarios and to sharpen their energy procurement strategies.

“What is quickly becoming apparent is that COVID-19 has challenged our conventional understanding of energy management systems and how meter data can positively affect scenario planning,” says George. “This ability to forecast what the future can look like, and adapt quickly to changing circumstances, is gaining a lot of interest because no organisation can afford to burn money unnecessarily in today’s trading climate.”

“And remember, an energy saving initiative only becomes ‘real’ when the results show up in meter data – so AMR DNA offers a quick and tangible way to measure outcomes,” says George.

How one business has implemented AI in the public sector.

Among those implementing AI-informed energy strategies is The Energy Consortium, which provides energy solutions to public sector organisations.

Stephen Creighton is Head of Member Services at TEC and has been employing AI to drive energy efficiency and carbon reduction in the higher education sector for 4 years.

“By applying AMR DNA technology across multi-site campuses, we have been able to support our members in achieving significant improvements in energy efficiency. Diving this deep into the volume of metered data that is now available simply would not have been possible through manual intervention. Now though, we have a system that can not only spot areas of concern, but also progressively learn the optimal performance for each building and provide a corresponding list of priority actions to deliver the best outcomes.”

The webinar is open to all, but ideal for energy managers. To register to attend on June 10th at 10am visit:


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