Northumbrian Water deploys Siemens data platform for 1 million water meters

Northumbrian Water deploys Siemens data platform for 1 million water meters
Image courtesy Siemens Smart Infrastructure

In a new contract between Siemens Grid Software and UK-based Northumbrian Water Group (NWG), over one million smart water meters will connect to a new Siemens data management platform by 2030.

Through the agreement between the clean tech major and the British water holdings company, the EnergyIP MDM X platform will connect the meter points, aiming to enhance the Group’s ability to detect and reduce household water leaks.

The water utility is undergoing a major rollout of smart meters, which report data back to the cloud on an hourly basis.

Siemens’ Software-as-a-Service (SaaS) solution will allow the utility, which services 4.5 million people in the North East of England and in the South East as Essex & Suffolk Water, to analyse the data from the water meters to identify household consumption anomalies and alert customers of potential leaks on their properties.

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Siemens collaborated with NWG’s team to design, develop, test and launch the meter data management SaaS, which is powered by the technology company’s EnergyIP software.

According to Siemens, it represents the largest solution of its kind implemented by the company for the water industry in Europe, as well as its largest deployment of grid software to date.

Gary Adams, head of smart transformation at NWG, said: “The EnergyIP MDM implementation is a critical cornerstone in our smart metering journey, allowing us to effectively manage the large volumes of metering data we will receive and to drive efficient operational activity for both our customers and our wider business providing access to granular smart data at the click of a button.”

The system will ultimately help NWG to meet UK water regulator Ofwat’s targets for reducing leakages and per capita consumption.

EnergyIP MDM X for Water is part of Siemens Xcelerator, the company’s digital business platform.