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11 SLUDGE QUALITY INDEX - EVALUATION OF SLUDGE SETTLEABILITY Richard Fox, Project Engineer Angelbeck Environmental Engineers, Inc. Toledo, Ohio 43606 Donald Angelbeck, Associate Professor Department of Civil Engineering University of Toledo Toledo, Ohio 43606 INTRODUCTION Major advances in process control of biological activated sludge operation have been made possible through the continued development of solids flux analysis. Widespread availability of microcomputers and technical software have only recently opened the potential benefits of solids flux analysis for daily operational control at municipal and industrial wastewater treatment facilities. Solids flux analysis involves measuring sludge settleability which leads to a sludge settling constraint. This information can be used to estimate operational levels of mixed liquor concentration within the aeration tanks and underflow concentration of the final clarifier for different combinations of influent and recycle flows. The variable SQI, or Sludge Quality Index, has been devised to quantify sludge settleability as it is measured and used in solids flux analysis. This paper will report the field data which supports the theoretical development and definition of the Sludge Quality Index. Two traditional solids flux models along with an empirical SVI model will be investigated to obtain solids flux curves and the associated Sludge Quality Indexes. The Sludge Quality Index, a single quantitative measure of sludge settleability, is needed for two reasons. First, this quantity can be directly compared with other process variables to develop relationships that can be used to determine operational corrections to the activated sludge system. Secondly, the measured SQI quantity along with SQI trending over the recent past can be used in algorithms to calculate control adjustments of flow splits within a step-feed activated sludge process. DEFINITION OF THE SLUDGE QUALITY INDEX The Sludge Quality Index can be calculated from any batch solids flux curve. Initial settling curves are obtained by conducting settleability tests (Settleometer Tests) on several concentrations of a waste activated sludge. This data can be used to construct the solids flux curve either graphically or with mathematical modeling. Traditional plots of batch solids flux settling capacity versus concentration produce curves which vary in both shape and location depending upon overall sludge settling characteristics. Models used to construct these curves normally involve two variables, neither of which singly or adequately represent changes in the overall sludge settleability. Furthermore, a general index for sludge settleability should not be dependent on any one model for a solids flux curve. The definition for the Sludge Quality Index is relatively simple once a solids flux settling curve has been obtained. Place a recycle operating line, with a slope equal to a reference recycle flow rate divided by the area of the clarifier, tangent to the solids flux curve. The value of the concentration intercept of this line is defined as the SQI (Figure I). Physically, the SQI is the minimum underflow sludge concentration that could be expected from operation using a reference recycle pumping rate or the maximum recycle pumping rate. We have chosen a standard recycle flux of 700 gpd/ft2 to define SQL If SQI data are compared within a specific plant, then the SQI defined by the maximum recycle flux would be a more realistic variable which describes the minimum recycle sludge concentration at a given time. However, if sludges between different plants are to be compared, the SQI defined by a reference recycle flux must be used since each plant may have different recycle pumping capacities. 99
Object Description
Purdue Identification Number | ETRIWC198611 |
Title | Sludge quality index : evaluation of sludge settleability |
Author |
Fox, Richard Angelbeck, Donald I. |
Date of Original | 1986 |
Conference Title | Proceedings of the 41st Industrial Waste Conference |
Conference Front Matter (copy and paste) | http://e-archives.lib.purdue.edu/u?/engext,37786 |
Extent of Original | p. 99-107 |
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 | 2009-07-13 |
Capture Device | Fujitsu fi-5650C |
Capture Details | ScandAll 21 |
Resolution | 300 ppi |
Color Depth | 8 bit |
Description
Title | page 99 |
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 | 11 SLUDGE QUALITY INDEX - EVALUATION OF SLUDGE SETTLEABILITY Richard Fox, Project Engineer Angelbeck Environmental Engineers, Inc. Toledo, Ohio 43606 Donald Angelbeck, Associate Professor Department of Civil Engineering University of Toledo Toledo, Ohio 43606 INTRODUCTION Major advances in process control of biological activated sludge operation have been made possible through the continued development of solids flux analysis. Widespread availability of microcomputers and technical software have only recently opened the potential benefits of solids flux analysis for daily operational control at municipal and industrial wastewater treatment facilities. Solids flux analysis involves measuring sludge settleability which leads to a sludge settling constraint. This information can be used to estimate operational levels of mixed liquor concentration within the aeration tanks and underflow concentration of the final clarifier for different combinations of influent and recycle flows. The variable SQI, or Sludge Quality Index, has been devised to quantify sludge settleability as it is measured and used in solids flux analysis. This paper will report the field data which supports the theoretical development and definition of the Sludge Quality Index. Two traditional solids flux models along with an empirical SVI model will be investigated to obtain solids flux curves and the associated Sludge Quality Indexes. The Sludge Quality Index, a single quantitative measure of sludge settleability, is needed for two reasons. First, this quantity can be directly compared with other process variables to develop relationships that can be used to determine operational corrections to the activated sludge system. Secondly, the measured SQI quantity along with SQI trending over the recent past can be used in algorithms to calculate control adjustments of flow splits within a step-feed activated sludge process. DEFINITION OF THE SLUDGE QUALITY INDEX The Sludge Quality Index can be calculated from any batch solids flux curve. Initial settling curves are obtained by conducting settleability tests (Settleometer Tests) on several concentrations of a waste activated sludge. This data can be used to construct the solids flux curve either graphically or with mathematical modeling. Traditional plots of batch solids flux settling capacity versus concentration produce curves which vary in both shape and location depending upon overall sludge settling characteristics. Models used to construct these curves normally involve two variables, neither of which singly or adequately represent changes in the overall sludge settleability. Furthermore, a general index for sludge settleability should not be dependent on any one model for a solids flux curve. The definition for the Sludge Quality Index is relatively simple once a solids flux settling curve has been obtained. Place a recycle operating line, with a slope equal to a reference recycle flow rate divided by the area of the clarifier, tangent to the solids flux curve. The value of the concentration intercept of this line is defined as the SQI (Figure I). Physically, the SQI is the minimum underflow sludge concentration that could be expected from operation using a reference recycle pumping rate or the maximum recycle pumping rate. We have chosen a standard recycle flux of 700 gpd/ft2 to define SQL If SQI data are compared within a specific plant, then the SQI defined by the maximum recycle flux would be a more realistic variable which describes the minimum recycle sludge concentration at a given time. However, if sludges between different plants are to be compared, the SQI defined by a reference recycle flux must be used since each plant may have different recycle pumping capacities. 99 |
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