title: Prediction of particulate loading in exhaust from fabric filter baghouses with one or more failed bags.
abstract: Loss of filtration efficiency in a fabric filter baghouse is typically caused by bag failure, in one form or another. The degree of such failure can be as minor as a pinhole leak or as major as a fully involved baghouse fire. In some cases, local air pollution regulations or federal hazardous waste laws may require estimation of the total quantity of particulate matter released to the environment as a result of such failures. In this paper, a technique is presented for computing the dust loading in the baghouse exhaust when one or more bags have failed. The algorithm developed is shown to be an improvement over a previously published result, which requires empirical knowledge of the variation in baghouse pressure differential with bag failures. An example calculation is presented for a baghouse equipped with 200 bags. The prediction shows that a small percentage of failed bags can cause a relatively large proportion of the gas flow to bypass the active bags, which, in turn, leads to high outlet dust loading and low overall collection efficiency from the baghouse.
authors.affiliation: Exponent, Inc., Los Angeles, CA, USA.
authors.forename: Wenjun
authors.initials: W
authors.lastname: Qin
authors.forename: Manuel
authors.initials: M
authors.lastname: Dekermenjian
authors.forename: Richard J
authors.initials: RJ
authors.lastname: Martin
mesh_terms: D000395:Air Pollutants, Occupational; D000397:Air Pollution / Q000517:prevention & control*; D000399:Air Pressure; D000465:Algorithms; D004391:Dust / Q000517:prevention & control*; D004868:Equipment Failure; D005374:Filtration / Q000295:instrumentation*; D005544:Forecasting
chemical_list: D000395:Air Pollutants, Occupational; D004391:Dust