Resistivity
and Particle Size Analysis
Resistivity in Simulated Flue Gas
Resistivity is also determined isothermally as a function of electric
field intensity using an air environment containing concentrations
of moisture and sulfuric acid vapor or other specified agents. This
procedure is described in EPA Report 600/7-78-035.
Instead of the guarded, parallel plate test cell geometry described
in IEEE Standard 548, a radial test cell is used. An ash layer 5
mm wide and 1 mm thick is subjected to the applied potential. The
ash is held in the test environment for 48 hours prior to determining
resistivity as a function of electric field intensity from 2 kV/cm
to 12 kV/cm or break down, whichever comes first. Typically the
test is performed at two temperatures to bracket the process temperature.
One or more sulfuric acid concentrations are employed depending
on the circumstances.
Figure 2 shows
the results for this type of test. Electric field can have a
much greater effect on resistivity when conduction is dependent
of adsorbed acid vapor. In some cases, the increase in field
strength from 4 kV/cm to 12 kV/cm causes a decrease in resistivity
of more than an order of magnitude. In Figure , the ash resistivity
determined in accordance with IEEE Standard 548 at 4 kV/cm and
a similar temperature (311°F)
and environment without acid vapor was 5 x 1011 ohm-cm.
Figure 2 shows the great effect
acid vapor can have on ash resistivity.
As stated above, the IEEE Standard 548 test determines a maximum
expected resistivity. If sulfuric acid vapor is present in the flue
gas, the laboratory resistivity test should also be conducted with
a commensurate acid concentration to determine a true picture of
the resistivity level that the precipitator will experience.
Using the ultimate coal analysis or a given flue gas analysis and
the ash chemical composition, resistivity can be predicted as a
function of temperature and environmental conditions. Resistivity
is modeled in accordance with EPA Report 600/7-86-010. An example
of the model's output using the data supplied in Table
1, is shown in Figure 3. If one
wishes to check the validity of the modeled data, a minimum amount
of laboratory data can be acquired for comparison. A reasonable
agreement between the modeled data and laboratory data allows one
to utilize the modeled information to anticipate resistivity at
all temperatures and environmental conditions.
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