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Title: Predicting mass loading as a function of pressure difference across prefilter/HEPA filter systems

Conference ·
OSTI ID:7047281
;  [1];  [2]
  1. Argonne National Lab., IL (United States)
  2. Westinghouse Savannah River Co., Aiken, SC (United States)

The purpose of this work is to develop a methodology for predicting the mass loading and pressure drop effects on a prefilter/ HEPA filter system. The methodology relies on the use of empirical equations for the specific resistance of the aerosol loaded filter as a function of the particle diameter. These correlations relate the pressure difference across a filter to the mass loading on the filter and accounts for aerosol particle density effects. These predictions are necessary for the efficient design of new filtration systems and for risk assessment studies of existing filter systems. This work specifically addresses the prefilter/HEPA filter Airborne Activity Confinement Systems (AACS) at the Savannah River Plant. In order to determine the mass loading on the system, it is necessary to establish the efficiency characteristics for the prefilter, the mass loading characteristics of the prefilter measured as a function of pressure difference across the prefilter, and the mass loading characteristics of the HEPA filter as a function of pressure difference across the filter. Furthermore, the efficiency and mass loading characteristics need to be determined as a function of the aerosol particle diameter. A review of the literature revealed that no previous work had been performed to characterize the prefilter material of interest. In order to complete the foundation of information necessary to predict total mass loadings on prefilter/HEPA filter systems, it was necessary to determine the prefilter efficiency and mass loading characteristics. The measured prefilter characteristics combined with the previously determined HEPA filter characteristics allowed the resulting pressure difference across both filters to be predicted as a function of total particle mass for a given particle distribution. These predictions compare favorably to experimental measurements ({plus minus}25%).

Research Organization:
Argonne National Lab., IL (United States); Westinghouse Savannah River Co., Aiken, SC (United States)
Sponsoring Organization:
USDOE; USDOE, Washington, DC (United States)
DOE Contract Number:
W-31109-ENG-38; AC09-89SR18035
OSTI ID:
7047281
Report Number(s):
ANL/CP-75664; CONF-920823-2; ON: DE92018180
Resource Relation:
Conference: 22. Department of Energy/Nuclear Regulatory Commission air cleaning and treatment conference, Denver, CO (United States), 24-27 Aug 1992
Country of Publication:
United States
Language:
English