ME513-3 – STS Smart prepayment meter, DIN RAIL

STS Smart prepayment meters

The ME513-3 is the latest version of DIN Rail STS smart prepayment meters, which are customized to the international prepaid AMI market supporting local/remote software upgrade. This series adopts the current international standard of AMI communication protocol DLMS/COSEM, the meter is designed to meet the latest standards and requirements of energy utilities, providing a strong foundation for smart grid initiatives.

Features

Bidirectional metering for import/export active energy, and four quadrants reactive energy
Metering instantaneous voltage and current, active/reactive/apparent power, power factor and frequency, for total and per phase value
The minimum cycle of the unit for electric energy direction judgment is one second
The minimum unit of energy metering in memory is 1mWh, 1mVARh, and 1mVAh

The minimum unit of energy metering of output (communication/display) is 1Wh, 1VARh, and 1Vah, the data refreshes every second
Time of Use (TOU) of total import/export active energy, reactive energy
Support of up to 8 tariffs

Key benefits

The meter supports five payment modes: Prepayment energy, pre-paid gradient, prepaid TOU, post-paid gradient and post-paid TOU.
Firmware can be updated by means of optical port, RS485 port and remote communication.
Load profile with configurable interval and capture objects.
Event logs: The meter is capable of recording events as it captures the occurrence of configurable events with timestamp.
Built-in smart Communication interface.
Compact Design.

ME513-3 Smart STS DIN RAIL meter

Would you like to know more about the product? Make sure to download the brochure and get more information about the features, benefits and technical specifications.

Smart energy product portfolio

Our robust portfolio of smart metering solutions enables us to predict future needs for efficient energy management. Based on digitized IoT solutions, our products and services provide utilities with the data they need to manage energy consumption, anticipate demand and optimize costs.