The
filtration of flying char particles from coal pyrolysis vapors
plays a very important role in enhancing yields and quality of pyrolysis
oil. In this work, the performance of coal pyrolysis flying char particles
in a granular bed filter (GBF) was studied in cold model experiments.
A filtration model was developed using a macroscopic phenomenological
method that describes the filtration of the GBF. The polynomial expression
of the relative filter coefficient (F) and the nonlinear
expression of the relative pressure drop ratio (G) were applied in the new model. The unsteady state of granular filtration
was captured, demonstrating that the GBF performance could be predicted
by the new model. Effects of superficial gas velocity, thickness of
granular layer, and dust mass concentration on collection efficiency
and pressure drop were analyzed. An excellent performance of the GBF
was obtained and the total collection efficiency could reach a span
between 98% and 99.9%. In the case of lower dust mass concentration,
the total collection efficiency and pressure drop were slightly affected
by the increasing dust mass concentration. The optimal operating conditions
of the GBF were obtained: a superficial gas velocity of 0.2–0.6
m/s and a granular layer thickness of 0.07–0.11 m.
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