Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Pilot-Scale Evlauation of an Incinerability Ranking System for Hazardous Organic Compounds.
Author Carroll, G. J. ; Thurnau, R. C. ; Lee, J. W. ; Waterland, L. R. ; Dellinger, B. ;
CORP Author Environmental Protection Agency, Cincinnati, OH. Risk Reduction Engineering Lab. ;Acurex Corp./Aerotherm, Mountain View, CA. ;Dayton Univ., OH. Research Inst.
Publisher c1992
Year Published 1992
Report Number EPA/600/J-93/002;
Stock Number PB93-150118
Additional Subjects Air pollution control ; Hazardous materials ; Incinerators ; Combustion efficiency ; Ranking ; Organic compounds ; Waste disposal ; Thermal stability ; Flue gases ; Statistical analysis ; Performance standards ; Air pollution sampling ; Kilns ; Reprints ; Principal organic hazardous constituents
Library Call Number Additional Info Location Last
NTIS  PB93-150118 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 06/12/1993
Collation 10p
The study was conducted to evaluate an incinerability ranking system developed by the University of Dayton Research Institute under contract to the EPA Risk Reduction Engineering Laboratory. Mixtures of organic compounds were prepared and combined with a clay-based sorbent matrix. These mixtures were then fed into the pilot-scale rotary kiln incineration system at the U.S. EPA Incineration Research Facility. In a series of five (5) tests, the following conditions were evaluated: baseline/typical operation; thermal failure; mixing failure; matrix failure; and a worst-case combination of the three (3) failure modes. Under baseline conditions, mixing failure, matrix failure, kiln-exit destruction and removal efficiencies (DREs) for each compound were sufficiently high that separation of compounds according to observed DRE was not possible; a correlation between compound ranking and relative DRE could not be confirmed. A wider distribution of compound DREs during the thermal-failure and worst-case tests allowed for a better statistical evaluation; statistically-significant correlations above the 99% and 93% confidence intervals were identified for the two tests, respectively.