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CNFL Installs Elster Electricity's EnergyAxis
System with Two-Way Communications
Elster Electricity, LLC announces that La Compania Nacional de Fuerza y
Luz S.A. (CNFL) has installed Elster's EnergyAxis® System with
intelligent two-way communications.
The EnergyAxis System is an advanced metering automation system
utilizing a 900 Mhz network with Elster's single phase electronic REX®
meters and A3 ALPHA® meter collectors.
CNFL's initial deployment includes system meters installed in
single-family residences throughout San José. CNFL, a division of the
Instituto Costarricense de Electricidad (ICE) distributes electricity in
the most densely populated area of the country.
CNFL selected the EnergyAxis System to improve tamper detection
capabilities, to reduce the number of meter site visits for
disconnecting and reconnecting service, and to offer customers flexible
energy rate structures. Elster's EnergyAxis Metering Automation Server
(MAS) will allow CNFL to remotely configure time-of-use rates, initiate
load profile data collection at the meter and retrieve information on
outage counts, on-site voltage levels, tamper indications, and meter
status and warning messages.
"The EnergyAxis System is the first system of its kind in Central
America to offer advanced metering technology," remarked Fabio
Dominguez, international sales and marketing manager for Elster
Electricity. "Its two-way communications and remote service
connect/disconnect feature will help CNFL to reduce non-technical losses
and respond rapidly to power outages. The system is ideal for countries
such as Mexico, Guatemala, Nicaragua, Belize, Honduras, and Panama that
use the same type of meter used by CNFL."
The EnergyAxis System's 900 MHz two-way radio frequency communications
network uses intelligent, two-way spread spectrum frequency-hopping
technology with self-registration to provide secure, reliable
communications between network meters and data collectors. This
technology enables individual meters to act as repeaters, creating a
dynamic communications path that optimizes signal strength and
reliability.
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