Geopolitical
events like war in Iraq and weather patterns like unusually cold winters
can spur fears of oil shortages, and thus lead to higher gas and electricity
prices. Whether the oil shortage is real or contrived is anybody’s
guess.
The truth is, most of the time
nobody knows why energy prices fluctuate. This is because energy utilities
today have no reliable way of judging demand, and therefore cannot properly
allocate supply.
Why do energy prices soar on
the back of a perceived shortage?
One explanation is that the
average electricity generators in the U.S. run at about 54 percent of
capacity. In order for a power utility in Chicago, say, to keep generating
capacity in reserve that will only be needed for eight hours during the
hottest summer day of the year, then consumers must bear the price.
Unfortunately, that price turns
out to be nearly 600 times the average cost to cover the utility company’s
cost for reserve generation. Today the grid that distributes power is
not smart enough to look elsewhere for additional energy to meet unseen
peak demands.
Supply and demand in the energy
industry still rely largely on the same rudimentary technology used since
the 19th century: door to door meter readers. At best, a reader will have
a laser gun so he can read meters without getting out of his car. When
readers can’t access your meter, they make an estimate, which means
actual demand lags a month or two behind billing estimates.
As modern technology streams
email, stock prices, and digital photos into our wireless hand-held devices,
why do energy utilities still go door to door?
Until recently, the cost and
availability of technology to read meters or other devices remotely have
been inhibitors to all but the largest industrial energy consumers. Now,
thanks to low cost wireless devices and industry adoption of open standards,
the game is changing.
The ability to monitor
energy assets remotely and in real time gives utilities a huge opportunity
to improve their earnings performance by better matching supply with demand.
Asset monitoring extends enterprise operations to embedded devices or
smart machines and remote sensors.
Energy usage data can be gathered,
filtered and integrated into back-end applications, or communicated via
alerts to designated personnel to take appropriate action. By proliferating
this real-time digital technology, electric utilities would know when
your lights go out, or better yet, when they are about to go out. Today
when your lights go out, often the only way your local utility knows is
if you call and tell them.
With remote asset monitoring,
crews could be dispatched in advance to provide preventive maintenance,
improving customer service. As devices are added the energy grid becomes
more “intelligent.” Ultimately, it would be self-monitoring,
self- diagnostic, and even self-correcting to lessen the need for manual
intervention .
To be truly competitive, electricity
markets require real-time price signals and related technology - which
will allow people to make choices. Consumers could opt to give up control
of their thermostats in exchange for ensured lower energy prices. A utility
could offer consumers the service of remotely reducing their air conditioning
during the day when the home was empty.
In the second half of this
year, in a combined effort with control equipment vendors and the U.S.
DOE, IBM will pilot test a system that will allow a huge regional mall
in Lancaster, PA to monitor real-time electricity usage and pull market-price
data every 5 minutes. The system will integrate dozens of devices and
instruments along with algorithms that can decide in real time whether
it is cheaper for the mall to buy power from the local utility or to turn
on its on-site generator and make its own.
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