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EnergyWitness™
Customer Profiles
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Managing a Chiller Plant based on Hourly Operating Costs
St. Joseph's Hospital is changing the culture of how they operate
their facility. They're changing to a culture of data, of informed
decision-making, and of understanding the cost implications of how
the facility is operated. It's started in their central plant
with the chilled water system.
The Need for Better Facilities Operational Data
The hospital had come to suspect that there were significant
issues within its chiller plant, and that perhaps engineering design
issues were at the root of the problems. If true, a significant
investment would be needed to re-engineer, and upgrade the system.
Additionally there were space comfort issues in several areas of the
hospital, possibly related to the chilled water system.
Before seeking funding, the facilities staff needed to prove that
engineering design problems did indeed exist. Further, if they could
quantify the ongoing wasted cost of current operations, it would
provide the necessary justification.
Everything Changes Once You Have the Data
St. Joseph's Chiller Plant Configuration
1 800 ton gas
3 1,500 ton electric
1 400 ton absorber
3 towers, 2 cells each
2 towers, 1 cell each
4 75hp pumps
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The first step with
any EnergyWitness installation is to begin data collection. It
started with about 800 points from the JCI system covering the
chiller plant and later added some air handlers, growing to about
3,000 points. After collecting data for a few weeks, IDS began to
perform a diagnostic review. The first set of problems found were a
variety of sensors that were not working or were out of calibration.
This directed St. Joseph's to redirect some of its technician's time
and prioritize the repair/calibration of these sensors to ensure
accurate readings. (This is not unique to St. Joseph's. Every site
we've seen has its share of bad sensors.)
With accurate data to review, the next priority became obvious.
The chiller plant was operating in a very unstable manner. To
examine just one example of what was found, the output of the
chillers was cycling by 500 tons across 15 minute intervals. That's
a third of the 1,500 ton chiller's capacity.

The tons output load was cycling widely (1–green line) until the
setpoint (2–magenta line) was fixed at 42°F, when as you can
see, the trashing stopped and the chillers returned to more
stable operations. |
Because EnergyWitness was collecting data from all points within
the plant, it was a quick process to diagnose the cause of the
instabilitya setpoint program that was fluctuating by nearly 3°F in
some conditions. Fixing the setpoint at a constant 42°F immediately
stabilized the system. EnergyWitness was able to verify the results
beginning at the next 15 minute interval, as shown in the chart to
the left.
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To read more about the operational, design, and comfort issues addressed,
download the expanded case study [2.5MB
PDF]. You'll find details on operations and controls that led
to a $40,000/year electrical savings. You'll also see design
problems that account for nearly a quarter-million dollars in
lost savings and space comfort issues. |
The Power of Data
With the chiller plant stabilized, we could address the original
concerns about engineering design. Over the course of a couple
months we were able to identify $226,000/year in lost
savingssavings that would be realized by addressing operational
issues, but couldn't because of the design of the chiller plant and
chilled water loop. We'll take a look at one of the situations found
where a low-cost chiller was underutilized.

Chiller 1, the gas-fired chiller (1dark green line),
operates well below its 800 ton capacity (2). |

Off-peak the cost difference between the gas and electric chillers
is very small, but on-peak the gas chiller (1blue line) is
one-third the cost of the electrics (2). |
The chiller plant's three electric chillers, need to maintain
minimum loads to prevent surging. The gas-fired chiller is used
during on-peak hours when the electric chillers are more expensive
to run. Despite its 800 ton capacity, the gas chiller rarely outputs
more then 600 tons, and its output trails off during the course of
the day. That leaves, on average, 236 tons of unused capacity.
A. Electric chiller on-peak
B. Gas chiller on-peak
C. Savings per ton-hour (A-B) |
$0.2128
$0.0709
$0.1473 |
D. Unused gas tons
E. Hours per day
F. Days per year
G. Unused ton-hours (D*E*F) |
236
9
265
562,860 |
| H. Lost savings (C*G) |
$82,900 |
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The unused capacity is important because this chiller operates at
a much lower cost per ton than the electric chillers do on-peak. The gas chiller (chiller 1) costs an
average of $0.07 per ton to operate, while during on-peak hours the
electric chillers cost $0.22 per hour. By running below 75% of
capacity, there is a lost savings of $83,000 per year.
What's the moral of the story so far? Data = Knowledge.
St. Joseph's facilities director was able to document the various
operational, design, and comfort issues with indisputable facts.
With that information in hand, he was able to present his case to
the hospital CEO for a $2.5 million engineering redesign of the
chiller plant and distribution loops.
The entire $2.5 million budget request was approved. Data =
Credibility.
Managing by Cost
St. Joseph's is migrating towards a cost-based management
approach. In order to do this, they have installed
EWChillerPlant,
EnergyWitness' chiller plant optimization module that provides
hourly operating cost data recalculated at every 15 minute interval.
The plant total view of costs ensures that actions that save money
in one area but increase costs in another are quickly caught.

St. Joseph's staff can move through time (1), and see data for
each system and the entire plant (2). Bypass (3), energy cost
(4), and weather data (5) are shown. A tab (6) allows the user
to view the underlying models. Total costs in $/hr and $/ton-hr
are shown as gauges (7). |
The chiller plant speedometer provides a single screen view of
the overall chiller plant and its component systems, and also has
historical trend data for all of the cost calculations. It is custom
configured for St. Joseph's equipment, utility rates, and any other
local variables, such as average ground water temperature.
Facilities staff can see what it is costing to run the plant or
individual components on an hourly basis and a production basis
($/ton-hour).
One example of how this view helps the facilities team is how
easy it is to see the impact of rising natural gas prices on running
the gas chiller. This has eroded the advantage of using it during
on-peak hours.
Another example was a situation where a single chiller was
running, but not really able to meet the load demand. It was
intentionally shortchanging the load to save money and not start a
second chiller. However, taking a system-wide view of the costs, any
savings gained in the chiller was lost in the cooling tower. Running
the second chiller, both at partial loads, was shown to cost about
the same while better maintaining space comfort.
Next Steps
The cultural change is really just beginning. More members of the
facilities staff are looking at the available data and understanding
the importance of a system-wide view and understanding. The
engineering redesign project is underway, but the data is informing
decisions as to what the correct course of action is. The chiller
plant optimization modules will expand to include the boiler plant
(also custom configured for St. Joseph's). And of course we expect
to find and document more operational improvements and cost savings.
We'll update this case study periodically as St. Joseph's adds to
its list of accomplishments. So, bookmark this page and come back in
a few months to see the progress.
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