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57 SOLIDS SETTLING VARIABILITY IN ACTIVATED SLUDGE SECONDARY CLARIFIERS: EFFECT ON OPERATION AND CAPACITY James W. Morris, Assistant Professor Laurie A. Batchelder Adams, Research Assistant Hugh G. Tozer, Research Assistant Department of Civil and Mechanical Engineering University of Vermont Burlington, Vermont 05405 INTRODUCTION The most widely used wastewater treatment technologies employed in the United States are the various activated sludge modifications. Over 8,000 facilities were operating as of 1986 with many more being designed.'.2 The efficient separation of secondary solids is crucial to the operation of activated sludge technologies. Optimum control of these processes requires that both biological activity in the aeration unit and the settleability of the resultant biological suspension produced be considered. Solids recycle control using the sludge volume index (SVI), settled sludge volumes, or simple mass balance approaches coupled with monitoring the secondary clarifier sludge blanket level are approximate at best. These techniques do not allow for solids return flow optimization, and can potentially lead to effluent deterioration. Such operational modes involve responding to changes which have already occurred or the "dog chasing its tail" syndrome. The use of the gravity solids-flux state-point concept has received widespread attention as a rational technique for operational control and analysis of activated sludge systems. Use of this approach requires knowledge of the mixed liquor's settling characteristics in the secondary clarifier. However, the settling properties of biological sludges vary with time. The magnitude and frequency of solids flux variation, and its influence on secondary clarifier capacity in operating systems is unknown. This study describes solids settling variability, its actual and potential operational influence, at three operating municipal wastewater treatment facilities. GRAVITY SOLIDS FLUX STATE-POINT APPROACH The Gravity Solids-Flux State-Point Approach has been forwarded in the last decade by Keinath and co-workers3'4'5 based on early work by Coe and Clevenger,* Kynch,7 and Talmadge and Fitch.8 Their groundbreaking work was developed for flocculent compressable biological slurries by Dick and co-workers,9'10'11'12 Vesiland13'14'15'16 and others.1718 This eloquent technique incorporates a solids mass balance approach together with the settleability of secondary solids. The State Point Theory allows the activated sludge solids management system to be modeled mathematically, and response to operational and design changes to be predicted, when the solid settleability characteristics are known.4'12 Figure 1 represents the basic components of an Activated Sludge System. Using this simple configuration definitions may be given for the Gravity Solids-Flux State-Point Approach. Consider the operating condition plot shown in Figure 2 without the goose-neck shaped gravity flux curve. Such a plot (two intersecting straight lines, ignore dashed lines for now) defines the possible mass balance relationships for solids transport through the secondary clarifier. The total solids flux through a sedimentation unit, G, equals the flow of mixed liquor solids into the basin divided by its cross-sectional area or: G = C0(Q + Qr)/A (1) where G = total flux, mass/area-time C0 = slurry concentration, mass/volume Q = influent flowrate, volume/time Qr = recycle flowrate, volume/time A = clarifier cross-sectional area, area 551
Object Description
Purdue Identification Number | ETRIWC198757 |
Title | Solids settling variability in activated sludge secondary clarifiers : effect on operation and capacity |
Author |
Morris, James M. Adams, Laurie A. Batchelder Tozer, Hugh G. |
Date of Original | 1987 |
Conference Title | Proceedings of the 42nd Industrial Waste Conference |
Conference Front Matter (copy and paste) | http://e-archives.lib.purdue.edu/u?/engext,38818 |
Extent of Original | p. 551-564 |
Collection Title | Engineering Technical Reports Collection, Purdue University |
Repository | Purdue University Libraries |
Rights Statement | Digital object copyright Purdue University. All rights reserved. |
Language | eng |
Type (DCMI) | text |
Format | JP2 |
Date Digitized | 2009-08-03 |
Capture Device | Fujitsu fi-5650C |
Capture Details | ScandAll 21 |
Resolution | 300 ppi |
Color Depth | 8 bit |
Description
Title | page 551 |
Collection Title | Engineering Technical Reports Collection, Purdue University |
Repository | Purdue University Libraries |
Rights Statement | Digital copyright Purdue University. All rights reserved. |
Language | eng |
Type (DCMI) | text |
Format | JP2 |
Capture Device | Fujitsu fi-5650C |
Capture Details | ScandAll 21 |
Transcript | 57 SOLIDS SETTLING VARIABILITY IN ACTIVATED SLUDGE SECONDARY CLARIFIERS: EFFECT ON OPERATION AND CAPACITY James W. Morris, Assistant Professor Laurie A. Batchelder Adams, Research Assistant Hugh G. Tozer, Research Assistant Department of Civil and Mechanical Engineering University of Vermont Burlington, Vermont 05405 INTRODUCTION The most widely used wastewater treatment technologies employed in the United States are the various activated sludge modifications. Over 8,000 facilities were operating as of 1986 with many more being designed.'.2 The efficient separation of secondary solids is crucial to the operation of activated sludge technologies. Optimum control of these processes requires that both biological activity in the aeration unit and the settleability of the resultant biological suspension produced be considered. Solids recycle control using the sludge volume index (SVI), settled sludge volumes, or simple mass balance approaches coupled with monitoring the secondary clarifier sludge blanket level are approximate at best. These techniques do not allow for solids return flow optimization, and can potentially lead to effluent deterioration. Such operational modes involve responding to changes which have already occurred or the "dog chasing its tail" syndrome. The use of the gravity solids-flux state-point concept has received widespread attention as a rational technique for operational control and analysis of activated sludge systems. Use of this approach requires knowledge of the mixed liquor's settling characteristics in the secondary clarifier. However, the settling properties of biological sludges vary with time. The magnitude and frequency of solids flux variation, and its influence on secondary clarifier capacity in operating systems is unknown. This study describes solids settling variability, its actual and potential operational influence, at three operating municipal wastewater treatment facilities. GRAVITY SOLIDS FLUX STATE-POINT APPROACH The Gravity Solids-Flux State-Point Approach has been forwarded in the last decade by Keinath and co-workers3'4'5 based on early work by Coe and Clevenger,* Kynch,7 and Talmadge and Fitch.8 Their groundbreaking work was developed for flocculent compressable biological slurries by Dick and co-workers,9'10'11'12 Vesiland13'14'15'16 and others.1718 This eloquent technique incorporates a solids mass balance approach together with the settleability of secondary solids. The State Point Theory allows the activated sludge solids management system to be modeled mathematically, and response to operational and design changes to be predicted, when the solid settleability characteristics are known.4'12 Figure 1 represents the basic components of an Activated Sludge System. Using this simple configuration definitions may be given for the Gravity Solids-Flux State-Point Approach. Consider the operating condition plot shown in Figure 2 without the goose-neck shaped gravity flux curve. Such a plot (two intersecting straight lines, ignore dashed lines for now) defines the possible mass balance relationships for solids transport through the secondary clarifier. The total solids flux through a sedimentation unit, G, equals the flow of mixed liquor solids into the basin divided by its cross-sectional area or: G = C0(Q + Qr)/A (1) where G = total flux, mass/area-time C0 = slurry concentration, mass/volume Q = influent flowrate, volume/time Qr = recycle flowrate, volume/time A = clarifier cross-sectional area, area 551 |
Resolution | 300 ppi |
Color Depth | 8 bit |
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