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The Siemens adaptive meter (left) measures the power
consumption by monitoring the voltage drop across the shunt
(right), which is designed to prevent overheating and excessive
power consumption. |
ALGOR FEA Used to Optimize Siemens Residential
Electric Meter Component
Consumers expect that the electric usage reported on their monthly
utility bills is correct, so a major design consideration for
any electric meter component is that it be accurate. In addition
to accuracy, utility companies demand that metering products be
able to be upgraded easily and inexpensively. Since 1996, Siemens
Metering has been meeting these needs with its adaptable metering
system. The adaptable metering system uses plug-in modules to
provide for easy and less expensive upgrades in a market where
obsolescence happens quickly due to changing utility standards.
Modules can also provide different functions, such as communications
for automatic meter-reading.
Recently, new British short-circuit protection requirements led
to the complete redesign of the electric meter抯 switched shunt.
This meter measures the power consumption by monitoring the voltage
drop across the shunt, which is designed to prevent overheating
and excessive power consumption. Siemens?supplier, Samuel Taylor,
Ltd., contracted Neil Rothwell, a freelance mechanical design
engineer, to analyze and optimize the components. Rothwell used
ALGOR抯 electrostatic analysis software to predict the performance
of the shunt and optimize its geometry.
The adaptive meter抯 function is to measure kilowatt-hour power
consumption. To achieve this, an accurate means of measuring current
is needed. In the past, this has been done using relatively complex
and expensive devices such as a current transformer that measures
the magnetic field.In the adaptive meter, a simple shunt is used.
It is simply a conductive element of known resistance placed in
the current circuit for which the voltage drop is measured. From
this voltage and known resistance, the current can be calculated
using Ohm抯 law (I = V/R). Power consumption can then be calculated
by integrating the current and voltage over time.
In order to accurately measure the current, the shunt cannot
change resistance as it heats up. Manganin, a copper manganese
nickel alloy, is used for the element because its resistance remains
virtually constant as the current load and temperature change,
and it therefore maintains its accuracy at a variety of load currents.
Another design consideration is that the total power loss in the
circuit must be less than 8 watts at the full load current of
100 amps to prevent overheating and excessive power consumption.
Finally, the geometry of the shunt must be optimized to meet a
precise resistance value specified by Siemens.
In the past, Rothwell used a combination of hand calculations,
2-D current flow programs and laboratory testing to optimize shunt
designs and determine their resistance values. 揂LGOR抯 3-D current
flow capabilities are a great improvement over methods used in
the past such as hand calculations and 2-D current flow programs,?said
Rothwell. 揥ith the 2-D methods, my clients and I were either restricted
to simple, constant-thickness shapes or limited in how well we
could predict the current flow of a 3-D design. Now, we are able
to use more complex 3-D shapes and achieve an accurate design
with the first prototype.?p> Rothwell began with a 3-D design
based on hand calculations, which was modeled in I-DEAS. He imported
the model as an IGES file to create a 3-D finite element model.
100 amps of current was applied as a load to one end of the shunt.
A current sink was placed at the other end to make the current
flow through the shunt.
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ALGOR抯 electrostatic analysis software was used to predict
voltage and current density. Based on the results, Rothwell
changed the thickness and height of the manganin element (highlighted)
to optimize the design抯 resistance to the value specified
by Siemens. |
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Neil Rothwell is shown here holding a Siemens adaptive
meter with the ALGOR electrostatic analysis results in the
background. |
The electrostatic analysis was performed to predict voltage and
current density. Based on the results, Rothwell varied the thickness
and height of the manganin element to optimize the design抯 resistance
to the value specified by Siemens.
Laboratory tests correlated with the electrostatic analysis results
within 3%, well within the manufacturing tolerances for this type
of part. 揗y clients and I were happy that the laboratory tests
correlated so well with the analysis results,?said Rothwell. 揝hunt
prototypes are expensive to produce and take about four weeks
to manufacture. Getting the results right the first time saved
considerable time and money.?p> The upgraded adaptive meter
has been in production for 12 months and is the main Siemens residential
electric metering product being used in the United Kingdom.
Rothwell is moving on to integrate ALGOR software into his analysis
process to a greater degree. 揅urrently, I use hand calculations
and experience to decide if thermal effects from Joule heating
will be an issue,?said Rothwell. 揑n the future, I plan to integrate
ALGOR抯 heat transfer capabilities, specifically the multiphysics
Joule heating capability for calculating a temperature profile
based on the results of an electrostatic analysis.?p> Siemens
Metering is part of the global Siemens group. Samuel Taylor, Ltd.
is a world-class manufacturer of precious metal contacts located
in the U.K. and a major supplier to Siemens Metering. Neil Rothwell
is a freelance mechanical design engineer in Cheshire, U.K. He
has 20 years experience in the electric utility industry, both
in his freelance career and working for Siemens Metering and other
electric utility suppliers.
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