sludge densification, process intensification, and plant
TRANSCRIPT
Sludge Densification, Process Intensification, and Plant Resiliency
Belinda Sturm, PhDUniversity of Kansas
Steady Progression of Design for Settleability
2
1970s 1980s 1990s 2000s 2010s
Selector zone concept introduced to control bulking(Choduba et al. 1973)
Filaments shown to dominate based on bioreactor design and operation (Eikelboom, 1975)
Unified theory of filaments developed (Sezgin et al, 1978)
DO shown to impact selection of filaments versus flocs (Palm et al. 1980)
SVI correlations for settling curves became more standardized (Wahlberg and Keinath, 1998; Daigger, 1995; Ozinsky and Ekama, 1995)
Selector zone design became more formal (Marten and Daigger, 1997) and better understood (Martins et al, 2004)
WE&RF report on selector zone design guidelines (Gray et al, 2008)
Is aerobic granular sludge the natural evolution of good settling sludge development?
Five decades of settling theory evolution has been summarized in one key manual for operations
• Focus: settleability
• Select for good settling
•Low SVI
•Larger floc
•Limit filamentous growth
• Operating parameters
•SRT control
•F/M gradients
•Selector zones and plug flow
IWA Granule Workshop 2004
Granules making up aerobic granular activated sludge are to be understood as
aggregates of microbial origin, which do not coagulate under reduced hydrodynamic shear,
and which subsequently settle significantly faster than activated sludge flocs.
• SVI30 < 60 mL/g• SVI5 = SVI30 or SVI5 / SVI30 = 1• Settling velocities > 9 m/hr• Particle diameter > 200 µm
How Does Densified Activated Sludge Compare with Granular Sludge?
Compact AS(non-granular)
SVI30 80 to 120 mL/g SVI30 < 50 mL/g
Densified AS(granular)
AquaNEREDA™inDENSE™
non-patented ASConventional Selector
Design
non-patented AS*
Densified AS(non-granular)
SVI30 < 80 mL/g
Different types of aerated granules have been formed
1. EBPR – Enhanced biological phosphorus removal2. OHOs – Ordinary heterotrophic organisms3. PAOs – Phosphorus accumulating organisms4. GAOs – Glycogen accumulating organisms – may also grow
Parameter NIT Granules
OHOGranules
NDN-OHOGranules
NDN-PAO Granules*
Processes Nitrification (low COD/N feed)
COD oxidation (and possiblyNitrification)
Nitrification +Denitrification
Nitrification +Denitrification + EBPR1
Feeding condition
Aerobic Aerobic Anoxic Anaerobic
Denitrifying bacteria
N/A OHOs2 OHOs2 PAOs3 and GAOs4
Nitrogen removal method
N/A Assimilation w/ limited denitrification
Sequential anoxic and aerobic periods
Simultaneous nitrification and denitrification (SND) in aerobic period
Demonstrated Lab-scale Lab-scale Lab-scale Lab- and Full-scale
Figdore, B.A., Stensel, H.D., Winkler, M.K.H., Neethling, J.B. (2017) Aerobic Granular Sludge for Biological Nutrient Removal. Project No. NUTR5R14h. Water Environment and Reuse Foundation: Alexandria, VA.
Densifying Activated Sludge Is Key to Increasing Capacity at WRRFs
Lawrence WWTP Granular Sludge Pilot (70 L)
Flocculent Sludge– 5 mins Settling
Granular Sludge– 5 mins Settling
Flocculent Sludge – 30 mins Settling
Granular Sludge – 30 mins Settling
WERF U1R14 Project
Lawrence WWTP AGS Pilot Results -Settling Parameters
y = 19.4e-0.000413x
y = 9.8e-0.000459x
y = 12.6e-0.000471x
y = 15.1e-0.000395x
y = 17.6e-0.000397x
0
2
4
6
8
10
12
14
0 2000 4000 6000 8000 10000 12000 14000
Initi
al S
ettli
ng V
eloc
ity (m
/h)
MLSS Concentration (mg/L)100%GS 100%FS 25%GS,75%FS 50%FS,50%GS70%GS,30%FS Expon. (100%GS) Expon. (100%FS) Expon. (25%GS,75%FS)Expon. (50%FS,50%GS) Expon. (70%GS,30%FS)
100% GS
70% GS, 30% FS
50% GS, 50% FS
25% GS, 75% FS
100% FS
)(0
TSSXKS eVV ⋅−⋅=
SVI = 100 mL/g
SVI = 80 mL/g
SVI = 61 mL/g
SVI = 63 mL/g
SVI = 56 mL/g
Flux Curves for different levels of granulation
0
50
100
150
200
250
300
350
400
450
500
0 2000 4000 6000 8000 10000
Flux
(kg/
m2/
d)
MLSS Concentration (mg/L)
100% FS
0
50
100
150
200
250
300
350
400
450
500
0 2000 4000 6000 8000 10000
Flux
(kg/
m2/
d)
MLSS Concentration (mg/L)
100% FS 50% GS,50% FS
Flux Curves for different levels of granulation
0
50
100
150
200
250
300
350
400
450
500
0 2000 4000 6000 8000 10000
Flux
(kg/
m2/
d)
MLSS Concentration (mg/L)
100% GS 100% FS 50% GS,50% FS
Flux Curves for different levels of granulation
Note: Modeling assumed equal biomass concentrations for all ratios
Performed by Dr. José Jimenez and Dr. Alonso Griborio
Clarifier Capacity Modeling
Sludge Densification extends the same principles we learned from preventing bulking sludge
Five decades of settling theory evolution has been summarized in one key manual for operations
• Focus: settleability
• Select for good settling
•Low SVI
•Larger floc
•Limit filamentous growth
• Operating parameters
•SRT control
•F/M gradients
•Selector zones and plug flow
Floc Selection Theory and Filament Out-Selection
What are our key parameters for selecting for good settling activated sludge?
1. Plug Flow Conditions17
Number of Equivalent Tanks, N0 10 20 30 40 50
0
100
200
300
SS
VI 3.
5, m
L/g
N = 101
From E. J. Tomlinson and B. Chambers, The effect of longitudinal mixing on the settleability of activated sludge. Technical Report TR 122, Water Research Centre, Stevenage, England, 1978. Reprinted by permission of the Water Research Centre.)
Slide courtesy of Dr. Leon Downing, Black & Veatch
What are our key parameters for selecting for good settling activated sludge?
1. Plug Flow Conditions18
Number of Equivalent Tanks, N0 10 20 30 40 50
0
100
200
300
SS
VI 3.
5, m
L/g
N = 101
From E. J. Tomlinson and B. Chambers, The effect of longitudinal mixing on the settleability of activated sludge. Technical Report TR 122, Water Research Centre, Stevenage, England, 1978. Reprinted by permission of the Water Research Centre.)
2. Anaerobic/Anoxic feed
From Gray et al (2006) Develop and Demonstrate Fundamental Basis for Selectors to Improve Activated Sludge Settleability
Slide courtesy of Dr. Leon Downing, Black & Veatch
What are our key parameters for selecting for good settling activated sludge?
1. Plug Flow Conditions19
Number of Equivalent Tanks, N0 10 20 30 40 50
0
100
200
300
SS
VI 3.
5, m
L/g
N = 101
From E. J. Tomlinson and B. Chambers, The effect of longitudinal mixing on the settleability of activated sludge. Technical Report TR 122, Water Research Centre, Stevenage, England, 1978. Reprinted by permission of the Water Research Centre.)
2. Anaerobic/Anoxic feed 3. Loading rate matters
From Sezgin et al (1978) A Unified theory of activated sludge bulking, Journal of Water Pollution Control Federation 50(2)
From Gray et al (2006) Develop and Demonstrate Fundamental Basis for Selectors to Improve Activated Sludge Settleability
Slide courtesy of Dr. Leon Downing, Black & Veatch
High F/M and Metabolic Selection
Decreasing substrate concentration
Martins et al. (2003) Water Research 37, p.2555–2570
From Sezgin et al (1978) A Unified theory of activated sludge bulking, Journal of Water Pollution Control Federation 50(2)
Contacting with high rbCOD drives diffusion to granule interior
-Allows interior to be biologically active
Anaerobic feeding selects for PAOs for EBPR
Slow upflow feeding widely used in lab and full-scale SBRs
Slug feeding has also been used in lab systems
Slow upflow plug-flow feeding through settled
sludge bed
Treated effluent
displaced
Figdore, B.A., Stensel, H.D., Winkler, M.K.H., Neethling, J.B. (2017) Aerobic Granular Sludge for Biological Nutrient Removal. Project No. NUTR5R14h. Water Environment and Reuse Foundation: Alexandria, VA.
A high F/M anaerobic feeding regime is important to drive diffusion into granule and achieve metabolic selection
Substrate Utilization in SBR vs Plug Flow
Feeding Sludge Bed Height
rbCO
D (m
g/L)
22
Anx Aerobic
HRT
rbCO
D (m
g/L)
Continuous Flow configuration with high F/M selectorAnaerobicSelectors
Effect of F/M on EPS Formation
Scale = 100 µm
Cells – Red Polysaccharides - Blue Proteins Green
McSwain et al. (2005). Applied and Environmental Microbiology, 71(2), 1051-1057.
Jimenez (2015). Water research, 87, 476-482.
Effect of substrate utilization on EPS and granulation
Substrate Utilization Rate Utilization rate based on Monod-Based Kinetics𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅
= 𝒀𝒀𝒅𝒅𝒅𝒅𝒅𝒅𝝁𝝁𝑯𝑯𝒀𝒀𝑯𝑯
𝒅𝒅𝒔𝒔𝑲𝑲𝒔𝒔+𝒅𝒅𝒔𝒔
𝒅𝒅𝑯𝑯 - qEPS,HYD 𝒅𝒅𝒅𝒅𝒅𝒅𝒅𝒅
Formation rate Decay rate
Laspidou, C. S., & Rittmann, B. E. (2002). Water Research, 36(8), 1983-1992.
50
100
150
200
0.120 0.150 0.180 0.210 0.240 0.270 0.300E
PS-T
B (m
g C
OD
/g V
SS)
Substrate Utilization Rate (g sCOD / g VSS.d)
Modelled EPS mg COD/g VSSExp. EPS mg COD/g VSSPoly. (Modelled EPS mg COD/g VSS)
• Substrate utilization rate is one of the fundamental mechanisms driving EPS production and subsequent granule formation
• In principle, reactors must have a minimum substrate utilization rate to maintain EPS production and granule structure
Sludge densification may utilize a combination of biological and physical selection mechanisms
WRF Study Purpose: Granule Application in Continuous-Flow Systems
Plug flow conditions create necessary substrate selection
Granule selection performed separate from reactor and clarifier
Favor retention of larger, faster-settling granules over flocs
Short settling times <10 minutes widely applied in SBRs
-“Selective settling pressure”-“Hydraulic selection pressure”
Other approaches involving selective wasting-Screens / Sieves (Liu et al., 2014)-Hydrocyclones (Welling et al., 2015)-Surface wasting (Barnard 2015)
Sludge feed
Return sludge
Waste sludge
Screen.
..
..
.
...
Selective wasting using screening
Selective wasting using hydrocyclones
Sludgefeed
Granule return (underflow)
Waste sludge (overflow)
Figdore, B.A., Stensel, H.D., Winkler, M.K.H., NeethlingJ.B. (2017) Aerobic Granular Sludge for Biological Nutrient Removal. Project No. NUTR5R14h. Water Environment and Reuse Foundation: Alexandria, VA.
Liquid-solids separation design must retain granules
Water Research Foundation Project Overview
Particle SelectionCyclones installed at full-scale
Particle Selection
Pilot
Substrate Selection
Substrate & Settling Selection
A target F/M is maintained by wasting mixed liquor daily (both granules and flocs wasted)
A mixture of granules and flocs are maintained in reactor
North Reactor
South Reactor
Daily biomass wasting is performed through a 0.2 mm sieve, and granules are retained
Mainly granules are maintained in the reactor
Substrate Selection Only:
Substrate & Particle Selection:
Pilot Studies Manipulating F/M with Wasting
Effect of F/M on EPS and Granule Formation
50
70
90
110
130
150
170
190
210
230
0.10 0.12 0.14 0.16 0.18 0.20 0.22 0.24
Tota
l EPS
(mg
CO
D /
g V
SS)
F/M (g rbCOD / g VSS-d) (3 day ave)
0.10
0.12
0.14
0.16
0.18
0.20
0.22
0.24
0.26
0.28
0.30
0.10 0.12 0.14 0.16 0.18 0.20 0.22 0.24
Ave
Dia
met
er (m
m)
F/M (g rbCOD / g VSS-d) (3 day ave)
Effect of substrate utilization on EPS and granulation
0
0.1
0.2
0.3
0.4
0.5
0
50
100
150
200
0.13-0.15 0.15-0.20 0.20-0.25 0.25-0.30
Mea
n di
amet
er m
m
Tota
l E
PS m
g C
OD
/g V
SS
Substrate utilization rate (g sCOD/g VSS-d)
EPS Mean diameter
Anaerobic or Metabolic Selectors
0
10
20
30
40
50
60
70
80
90
0
50
100
150
200
250
< 5.20 5.20 - 5.94 5.94 - 6.68 6.68 - 7.42 > 7.42
SVI (
mL/g)
Diam
eter (
um) /
EPS
(mg C
OD / g
VSS
)
F/M (g COD / g MLSS-d)
Series1 EPS (mg COD/g VSS) Series3
Anaerobic F/M –Assuming COD Uptake in First Selector Zone
Diam.
EPS
SVI
Feeding Sludge Bed Height
rbCO
D(m
g/L)
507090
110130150170190210230
0.10 0.15 0.20 0.25
Tota
l EPS
(mg
CO
D /
g V
SS)
F/M (g rbCOD / g VSS-d) (3 day av
Aug. 15, 2015to Mar. 25, 2016
Mar. 25, 2016to Oct. 1, 2016
Granule formation and development
External selector implementation
Experimental Plan
Floc wasting0.2 mm screen
Sludge
Granule retaining
Granule selection through selective wasting of flocs Retained fraction
Wasted fraction
Selective Wasting
External selector
Impact of Selective Wasting on Sludge Structure
Increasing F/M Floc Granule transition
This graph shows the transition to mainly granule particles as the F/M > 0.21
Pilot Studies Manipulating F/M with Wasting
0102030405060708090100
05
101520253035404550
Am
mon
ia R
emov
al %
SRT
frac
tion
d
>0.2 mm <0.2 mm Ammonia removal
5.5 mg/L H2S found in feed bucket
External selector
Impact of Selective Wasting on Sludge Structure
0
0.5
1
1.5
2
2.5
3
3.5
4
Con
c (m
g/L)
Date (MM/DD/YY)
Eff PO4-P
Granule retention PAOs accumulation and phosphate removal improvement
15-20Lwasting
5-10Lwasting
Impact of Selective Wasting on Sludge Structure
Was
ted
frac
tion
Ret
aine
d fr
actio
n
Selectively Wasted
Selectively Retained
Microbial Community Selection through Wasting
Substrate Utilization in SBR vs Plug Flow
Feeding Sludge Bed Height
rbCO
D (m
g/L)
Anx Aerobic
HRT
rbCO
D (m
g/L)
Continuous Flow configuration with high F/M selectorAnaerobicSelectors
Anaerobic or Metabolic Selectors
0
10
20
30
40
50
60
70
80
90
0
50
100
150
200
250
< 5.20 5.20 - 5.94 5.94 - 6.68 6.68 - 7.42 > 7.42
SVI (
mL/g)
Diam
eter (
um) /
EPS
(mg C
OD / g
VSS
)
F/M (g COD / g MLSS-d)
Series1 EPS (mg COD/g VSS) Series3
Anaerobic F/M –Assuming COD Uptake in First Selector Zone
Diam.
EPS
SVI0
14
Stage 1
Stage 3Stage 2
7
80%68%
62%51%
35%29%
18%17%
15%10%
10%5.6%
3.3%1.3%
0.7%0.5%
0.0 2.0 4.0
HE1ID2
HE2ID1HW
Puy1CrCCMClC
Puy2WBSPDurPocKalBM
Anaerobic Stage HRT (hr)
F/M Ratio
Wei, S. P., Stensel, H. D., Nguyen Quoc, B., Stahl, D. A., Huang, X., Lee, P.-H., Winkler, M-K.H., 2020. Flocs in disguise? High granule abundance found in continuous-flow activated sludge treatment plants. Water Research
Summary
Metabolic selectors should be designed to achieve high rbCOD uptake rates, with virtually complete rbCOD removal
An anaerobic F/M ratio greater than 5.2 gCOD/gVSS corresponded to higher EPS production; Anaerobic F/M greater than 7 has been associated with granulation
Microorganisms subjected to high F/M may accumulate substrate as internal storage products
It is possible to form granular sludge in continuous flow systems
Administrative Experience
U1R14CBET-1512667