Main Title |
Time Series Analysis of Coal Data from Preparation Plants. |
Author |
Cheng, B. H. ;
Woodcock, B. ;
Sargent, D. ;
Gleit, A. ;
|
CORP Author |
Versar, Inc., Springfield, VA.;Industrial Environmental Research Lab., Research Triangle Park, NC. |
Year Published |
1982 |
Report Number |
EPA-600/J-82-429; |
Stock Number |
PB84-175314 |
Additional Subjects |
Coal preparation ;
Regulations ;
Sulfur oxides ;
Time series analysis ;
Desulfurization ;
Standards ;
Boilers ;
Industrial wastes ;
Statistical analysis ;
Reprints ;
Air pollution abatement
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB84-175314 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
8p |
Abstract |
The paper gives information directed to individuals concerned with existing or proposed sulfur emission regulations. The ability of coal-fired-boiler operators to comply with emission regulations depends largely on the variability in emission rate. Because of the variability inherent in coal, the mean emission rate (in lb SO2/million Btu) must be lower than the emission standard to prevent violations. Heretofore, this problem has been analyzed by statistical techniques assuming independent (uncorrelated) data. This paper indicates that this method is inappropriate. Failure to account for correlation structure in coal data results in gross underestimation of emission violations of actual coal. Correlation in coal data should not be overlooked: the ability of each coal to meet emission regulations must be individually determined. |