Record Display for the EPA National Library Catalog

RECORD NUMBER: 2 OF 2

Main Title Coal sampling and analysis : methods and models /
Author Gleit, Alan,
Other Authors
Author Title of a Work
Moran, William,
Jung, Arthur,
Publisher U.S. Environmental Protection Agency, Air and Energy Engineering Research Laboratory, Center for Environmental Research Information
Year Published 1985
Report Number EPA/600-S7-85-024
OCLC Number 15343633
Subjects Coal--Sampling
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=2000TNEM.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJBD  EPA 600-S7-85-024 In Binder Headquarters Library/Washington,DC 10/17/2018
ELBD ARCHIVE EPA 600-S7-85-024 In Binder Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
Collation 9 pages : illustrations ; 28 cm
Notes
Caption title. At head of title: Project summary. Distributed to depository libraries in microfiche. "Aug. 1985." "EPA/600-S7-85-024."
Contents Notes
New Source Performance Standards for large coal-fired boilers and certain State Implementation Plans require operators to monitor SOb2s flue gas emissions. As an alternative to stack gas monitoring, sampling and analysis of feed coal has been proposed to estimate SOb2s emissions. This report provides information on coal sampling and analysis (CSA) techniques and procedures and presents a statistical model for estimating SOb2s emissions. In particular, this study assesses the various coal sampling techniques and equipment, the various sample preparation and analytic methods, and common practices for CSA. It describes the variables associated with the prediction of SOb2s emissions from CSA data; e.g., sulfur retention, variability, measuring errors, and auto-correlation. Finally, it presents a time series model for predicting emissions which takes into consideration the correlation of the sulfur content of the coal, the measuring errors, and the sampling procedures for coal collection. The model is used to fit 53 data sets with little evidence of non-fit.