A model analysis on the pulse-jet cleaning performance of electrostatically stimulated fabric filtration

• We focus on electrostatically stimulated fabric filtration (ESFF)/pulse-jet cleaning.
• A method is proposed that enables comparison of ESFF and non-ESFF variables.
• A pressure drop reduction factor (PRF) is derived from specific drag coefficients.
• Conventional FF operation is compared with ESFF using a PRF model.
• The PRF model simplifies cleaning cycle with ESFF and avoids complex evaluation.

Evaluation of the pulse-jet cleaning performance of electrostatically stimulated fabric filtration (ESFF) collectors incorporated with conventional fabric filtration (FF) and additional electrostatic stimulation is a major challenge. This paper proposes a method in which as many fundamental variables of a fabric filter with ESFF as possible are held constant during comparison of its operation to that of a fabric filter without ESFF. In various testing conditions for a novel ESFF collector, each of the specific drag coefficients, k2, with ESFF was found to be approximately one-third of those without ESFF, which demonstrates that ESFF offers performance at a lower pressure drop than FF. In addition, the ratio of k2 with ESFF to k2 without ESFF was on average a constant (0.34 ± 0.051) throughout the testing; thus, it is called the pressure drop reduction factor (PRF). PRF compares the conventional fabric filter operation to ESFF operation and is used to develop a [PRF] model that defines the relation between pressure variations across the conductive filter bags and the cleaning cycle. In this discussion, the pressure variations are a result of pressure drop, filtration velocity, residual static pressure, and pulse pressure. Therefore, the model cannot only simplify the establishment of the cleaning cycle with ESFF, but also avoid complex evaluations of the cleaning performance involving enormous amounts of data. A comparison between model simulations and experimental results confirms the availability of the model. The pressure drops after the cleaning cycles determined from the model revert closely to their initial levels, indicating that the expected cleaning operations have thus been achieved.

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