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9410 series
Power demand
Peak demand
Peak demand reset lockout
Sliding window demand
170
Power demand is a measure of average power consumption over a fixed time interval.
NOTE: If not specified, references to "demand" are assumed to mean "power
demand."
The meter measures instantaneous consumption and can calculate demand using
various methods.
Peak (or maximum) demand is the highest demand level recorded over the billing
period.
Power utilities generally bill commercial customers based on their peak usage levels,
called peak demand (in kW) and energy consumption (in kWh). Peak (or maximum)
demand is the highest demand level recorded over the billing period. You can view
peak demand values on your meter's display.
Your meter calculates the average current demand and kW, kVAR and kVA demand
using sliding window demand methods. The meter supports coincident demand values
when a peak demand is detected.
Your meter's default configuration is suitable for most applications, or you can
customize it for your specific application. You can configure the minimum time between
consecutive demand resets.
NOTE: If not specified, references to "demand" are assumed to mean "power
demand".
The demand reset lockout time sets the minimum time allowed between consecutive
demand resets; the meter ignores any attempts to reset demand that occur within the
lockout period.
The peak demand reset lockout period is user-configurable, with a default value of 25
days.
See the ION Setup online help for instructions on how to configure demand peak and
the demand reset lockout period on your meter.
See the ION Reference, available from www.usa.siemens.com/pds, for detailed
information on how Sliding Window Demand modules measure and calculate demand
values.
Related Topics
•
Meter resets
•
Data viewing using your meter's display
To calculate demand values, your meter uses the sliding window averaging (or rolling
interval) method which divides the demand interval into a set number of subintervals of
specified duration.
The demand is measured electronically based on the average load level over the most
recent set of subintervals. Sliding window demand also provides predicted demand
values.
Measurements
7EN05-0336-03
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