Application Note
Application Note
F r o m t h e F l u k e D i g i t a l L i b r a r y @ w w w . f l u k e . c o m / l i b r a r y
If you knew how
much it cost to run
that equipment
—could you make better operational and
maintenance decisions?
Comparing 200-horsepower air
compressors
Consider this manufacturing plant example. The
facility owned two 200-horsepower air compres-
sors used for supplying plant air. Since compressor
number one was rated at slightly more capacity
in cubic feet per minute (cfm) than compressor
number two, the decision had been made many
months before to run compressor number one as
the main compressor, and use compressor number
two as the “trim” compressor. Thus, the trim com-
pressor would run only when compressor number
one was not able to maintain system pressure.
This sounds logical, especially since they are both
the same horsepower—there should be little or no
difference in electrical operating costs.
Power loggers were installed on each unit for
several days to determine the actual electrical
energy operating cost. Each unit was run by itself
to make sure its operation was not influenced by
the other unit. Compressor number two was found
to be significantly more energy efficient, and was
also quite capable of supplying plant air needs.
Data logger software automatically graphs the energy usage for a
200-horsepower air compressor. This quick overview shows the
compressor is averaging just over 50 kW of energy consumption during
a three day period of operation. Knowing the electrical rate charge
of $/kWh, it would be easy to estimate the cost of operating this
compressor during this period.
Decisions have to be made—to save energy, to save dol-
lars. Having hard data on which to base those decisions
removes the “guess factor” and ultimately has a positive
effect on the bottom line. Can recording data, analyz-
ing results, and then making intelligent decisions really
have that large of a dollar effect, though? The answer is
“Absolutely yes!”



