Landis+Gyr to Strengthen DONG Energy’s Metering Management

Landis+Gyr, the global leader in energy management solutions and DONG Energy, one of the leading energy groups in Northern Europe, today signed an agreement for a Meter Data Management System, which will be integrated into the utility’s existing IT architecture. The move comes as Dong Energy prepares to start the replacement of its entire metering park in the residential sector.

Over the next four years, Landis+Gyr will deliver its Gridstream™ meter data management system (MDMS) to DONG Energy. Between 2017 and 2020, DONG Energy will replace its entire residential meter base with smart meters, totaling one million metering end-points. The Landis+Gyr solution will enable the utility to efficiently process and validate hourly energy data collected from the smart meters.

The Gridstream™ MDMS brings many benefits to Dong Energy: The system provides automatic consumption, trending, and validation of revenue-based meter readings and of power quality data, which means that potential issues such as poor voltage quality in the network can be identified – and remedied – quickly. Further benefits include the automation of business processes.

Michael Sørensen, Country Manager of Landis+Gyr Denmark, says that the agreement is a milestone, “We are proud to be providing key features to DONG Energy’s smart metering deployment. In today’s smart grid developments, utilities are increasingly integrating MDMS with other systems and continue to rely upon our solution to efficiently process large amounts of data.”

Vice President Anders Vikkelsø at DONG Energy says, “The Landis+Gyr solution has been chosen with our exact market needs and expectations in mind. We have now taken the first important step to ensure that, by the end of 2020, all of DONG Energy’s one million customers have remotely read electricity meters.”

Meter Data Management systems process the vast quantities of data that are collected in the Head-End System from the individual meters. An MDMS will typically import the data, then validate, cleanse and process it before making it available for billing and analysis.