Quantcast Section 4. Recordkeeping

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1.  METER DATA.  In evaluating the progress of any energy management program,
a chronological record of performance must be retained for reference and
comparison purposes. Most meter recording devices print information on either
a strip chart or as a column of alphanumeric symbols.  Numerous computer
programs are available that calculate and display trends, variations, and
progress toward final goals.  If a computer is not available, information can
be compiled using a handheld calculator.  If meters are not equipped with a
recording device, it will be necessary to determine how often the meter
information shall be recorded.  A form must be developed (Figure 2-6) that
will adequately identify and record the pertinent information for subsequent
analysis. Recording devices that provide a continual or variable time
interval record of meter measurements are essential to an energy management
program; but data must be reduced, analyzed, and acted upon regularly to be of
any benefit.
1.1 Data Collection. Data must be collected on a regular and consistent
basis. Regular data collection keeps personnel familiar with "normal" usage
data and helps create a basis or history of utility consumption. Regular data
collection is essential to prevent backlogs of raw data that must be reduced.
1.2 Data Reduction. Raw data must be reduced to summarize metered
information. It can be tabularized, averaged, maximums and minimums
calculated, and graphed to show usage trends and demonstrate the value of
energy conservation actions.  Using statistical techniques, such as multiple
linear regression, data can also be used to construct utilities consumption
models .  Multiple linear regression produces a utilities consumption model
equation by establishing the validity of the relationship between variables
that affect utilities consumption (independent variables) and actual utilities
consumption (dependent variable).  By establishing which variables actually
affect utilities consumption, changes in utilities consumption can be
understood and anticipated.
1.3 Problem Identification.  Regular data collection and analysis allows
operating personnel to become familiar with "normal" meter operation and to
recognize unusual readings or conditions. This is essential to timely
1.4 Reporting. Metered data serves no purpose if it is not distributed to
personnel who can effect changes.  Consequently, each command should establish
a distribution list for meter reports.  The distribution list should include
the commanding officer, production officer, public works officer, department
heads, and work center and production managers. Command and management
support is an absolute requirement for a successful metering program.


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