Country Energy to Tackle Carbon Emissions Through Development of …
Source: CNNMoney.com (Original Article)
Country Energy, manager of
Australia’s largest power network, today announced a global collaboration
with IBM (NYSE: IBM) aimed at developing and deploying an Intelligent
Network in Australia. As part of the announcement, Country Energy has
become the first utility outside of the United States to join the
Intelligent Utility Network Coalition, a global group of companies working
with IBM to accelerate the adoption of ’smart grid’ technologies and
business solutions.
An Intelligent Utility Network is a digital, open standards-based network
of sensors, metering, communications, computer processors, and analytics
which connects an entire utility company — from power plant to plug. These
connected systems provide a utility with near real-time data and
information to better manage the grid infrastructure, enabling fewer and
shorter power outages, improved customer service, and the ability to source
and deliver power more efficiently, including renewable energy.
Country Energy is pursuing the Intelligent Network concept to improve
reliability, support the growth of renewables like solar and wind, and make
energy efficiency simpler for customers.
“Climate change and cost of living fears have made families and businesses
keener than ever to control their energy and water use,” said Craig Murray,
Country Energy’s managing director. “At the same time, Australia’s power
grids are beginning to show their age — we need a blueprint to renew those
grids as more efficient and responsive Intelligent Networks. We need to put
the digital age to work for our network customers — by 2020, Intelligent
Networks need to do for essential services what the Internet has done for
information,” Mr Murray added.
Country Energy’s vision for an Intelligent Network by 2020 has three
objectives:
According to Country Energy, realizing these objectives through the
development of an Intelligent Network can Frequent Flyer Credit Cards combat the long-term costs of
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