Record Display for the EPA National Library Catalog

RECORD NUMBER: 8 OF 28

OLS Field Name OLS Field Data
Main Title Effect of Relative Humidity on Gaseous Air Cleaner Media Performance: Toluene Adsorption by Activated Carbon.
Author Owen, M. K. ; VanOsdell, D. W. ; Jaffe, L. B. ; Sparks, L. E. ;
CORP Author Research Triangle Inst., Research Triangle Park, NC.;Environmental Protection Agency, Research Triangle Park, NC. Air Pollution Prevention and Control Div.
Publisher 1998
Year Published 1998
Report Number EPA-R-822870-01; EPA/600/A-98/096;
Stock Number PB98-151772
Additional Subjects Toluene ; Adsorption ; Activated carbon treatment ; Emissions ; Air pollution control equipment ; Air cleaners ; Gases ; Granular activated filters ; Test chambers ; Flow rates ; Air flow ; Ecological concentration ; Relative humidity ; Performance evaluation ; Indoor air pollution ;
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB98-151772 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/18/1999
Collation 18p
Abstract
The paper gives results of an examination of the performance characteristics of activated carbon as a gas-phase air cleaner medium under various levels of relative humidity (RH) and a range of toluene concentrations. Toluene breakthrough curves at levels of humidity from below 5 to 80% were obtained. The concentration of the toluene challenge varied from 0.4 to 72.8 ppm. The experiments were performed in a small-scale test rig with temperature, flowrate, and humidity controls. These experiments provided data to explore the relationship of useful lifetime to RH. Below 50% RH, RH appears to have negligible influence on the adsorption of toluene but, by 75% RH, the toluene adsorption is decreased. Above the inflection point in the relationship between the cabon water content and the RH of the challenge air, the water interferes with the adsorption of toluene. Thus, the water adsorption curve supports the toluene adsorption data. The lineaarity of the relationship between the concentration and the 10% breakthrough time indicates that high concentration breakthrough data can be used to predict the breakthrough time for lower concentration challenges.