Record Display for the EPA National Library Catalog

RECORD NUMBER: 6 OF 76

OLS Field Name OLS Field Data
Main Title Automation of sludge processing : conditioning, dewatering, and incineration /
Author Polta, R. C. ; Polta, Robert C.
Other Authors
Author Title of a Work
Stulc, D. A.
Mathes, G. A.
Publisher U.S. Environmental Protection Agency, Water Engineering Research Laboratory,
Year Published 1986
Report Number EPA/600-S2-85-140
OCLC Number 15352705
Subjects Sewage disposal. ; Sewage sludge--Incineration.
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=2000TOO0.PDF
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=2000TOO0.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJBD  EPA 600-S2-82-140 Headquarters Library/Washington,DC 09/11/2018
EJBD ARCHIVE EPA 600-S2-85-140 In Binder Headquarters Library/Washington,DC 11/21/2017
EJBD  EPA 600-S2-85-140 In Binder Headquarters Library/Washington,DC 09/05/2018
Collation 6 pages ; 28 cm
Notes
Caption title. At head of title: Project summary. Distributed to depository libraries in microfiche. "Feb. 1986." "EPA/600-S2-85-140."
Contents Notes
This study developed and tested automated control strategies for municipal wastewater sludge processing. The strategies were applied to three unit processes -- chemical conditioning with lime and ferric chloride, vacuum filtration, and incineration. The project was conducted at the St. Paul, Minnesota, Metropolitan Waste Control Commission (MWCC) Seneca facility, a 24-mgd plant with parallel sludge processing trains. Several strategies were developed for controlling lime and ferric chloride addition and filter cake production rate. Each strategy was evaluated during approximately 500 hr of operation. Automated strategies were also developed for controlling incinerator hearth temperatures and air input. The strategies were designed to maintain the lowest possible furnace burning zone and to minimize excess air. The test data show a moderate cost reduction for automated control. On-line sensors were used to collect data and implement control strategies. Performance data for these sensors are summarized, and the digital data acquisition and control system is described.