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8/2/2019 Activated Sludge _kinetic Model
http://slidepdf.com/reader/full/activated-sludge-kinetic-model 1/19
ACTIVATED SLUDGE : KineticModel
Assumptions:
1.Complete mixing in aeration tank.
2.Influent substrate concentration remains constant.3.No microbial solids in raw water.
4.No microbial activity in clarifier.
5.Good efficiency of separation in clarifier and no sludge
accumulates in it.6.Steady state conditions prevail.
8/2/2019 Activated Sludge _kinetic Model
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A,T,
V a, X,Se
Secondary Secondary
ClarifierClarifier
Q, So
Q(1+R)
X, Se
(Q-Qw),
Xe, Se
Q w , Xr, SeRQ, Xr, Se
ACTIVATED SLUDGE KINETIC MODEL
8/2/2019 Activated Sludge _kinetic Model
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Material balance equation for
biomass across full system.
(dx/dt) v a =( Y(ds/dt)u--kdX)Va --XVa /Θc
In steady state conditions (constant MLSSmaintained)
=>(dx/dt)=0
=>1/ Θc =Y(ds/dt)u -- kd
X
=>(ds/dt)=k.SeX Monod’s equation1st order
k+Se
=>Se = ks(1+kd Θc )
Θc (Yk--kd)--1
8/2/2019 Activated Sludge _kinetic Model
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(dS/dt) v a =Q So - (ds/dt)u v a - (1+R) QSe
under steady state conditions(ds/dt)u = Q(So-Se)
X Va(1/ Θc+ kd)X = Θc Y Q(So-Se)
Va(1+kd Θc )
Sludge recycled : because
1.Increased MLVSS-increased efficiency of
process.2.Better flocculation.
3.Improved performance- acclimatedbiomass.
Material balance equationfor substrate in A.T
8/2/2019 Activated Sludge _kinetic Model
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ACTIVATED SLUDGE PROCESS
• Concept of mean cell residence time
Mean cell residence timeΘc is the time forwhich cell remains in the system .
The physiological state of themicroorganisms can be controlled by
simply regulating the rate at which cellsare wasted from the system .
Cells could be wasted either directly fromthe aeration tank viz Θc =VX/QwX =V/Qw
Or from the recycled line viz Θc =VX/QwX r
8/2/2019 Activated Sludge _kinetic Model
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MERITS/DEMERITS OF SLUDGEWASTING FROM THE A.T.Better process control since microorganism
concentration X,Xr need not bedetermined.
Larger volume of waste sludge hence largersludge handling units.
8/2/2019 Activated Sludge _kinetic Model
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Concept of mean residencetime .Eg 1#Q=1000cum /day Va =250 cumX=3000 mg/l Qw =50 cum/dayMass of cells leaving the system= 750kg
viz cell remaining in system =750/150 =5 daysQuestions :
1. If it is desirable toretain cells in the system for a longer timehow could be this be achieved in practice?2. Would the retention time of cells in youropinion have any bearing on the physiologicalstate of the microorganisms?
3. Can the physiological state of the
microorganisms be controlled? How?
8/2/2019 Activated Sludge _kinetic Model
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Eg 2#
Q=1000cum /day Va= 250 cumX=3000cum/day Qw=10cum /day
Xr=1500mg/l
Mass of cells leaving the system =150 kg
Mass of cell in the AT=750 kg
mass of cell remaining in the system for750/150= 5 days
Question :What conclusion can be drawn from these
two examples?
8/2/2019 Activated Sludge _kinetic Model
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MINIMUM BIOLOGICAL CELLRETENTION TIME
If cells are removed from the system at a rate fastthan the their generation rate, cell washout willoccur.
minΘ
c = ?If Θc = Θc min ( min, than rate of cells leaving = rat
of cells generated ….no treatment is possible i.e.So =Se 1/ Θc =Y(ds/dt)u -- kd
X1/ Θc min =Y(ds/dt)u -- kd
X
8/2/2019 Activated Sludge _kinetic Model
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,
So=2
So=1.5
So= 1
Cell conc.curves
Substrate
conc.
M.C.R.T
Se,X
Θcmin
8/2/2019 Activated Sludge _kinetic Model
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INFERENCES FROM THEKINETIC MODELIndependence between So and Se implies
that :
-As long as Θc is held constant ,any change in
So will result in change in X but not in Se .
-It is not necessary to use same influentconcentration for lab as encountered in field
to determine kinetic coefficient .
Advantages ….unknown concentration beforestart up
8/2/2019 Activated Sludge _kinetic Model
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ASP OXYGEN REQUIREMENT
Oxygen is the ultimate electron acceptor inan aerobic process.
Low oxygen concentration causes process
failuresMethod for computation:
Total oxygen required =Q(BODuo—BODue)
However , not all substrate is oxidized. Partof it is converted to new cells(synthesis).At steady state cells wasted =cells formed
Therefore substrate synthesized to new’
8/2/2019 Activated Sludge _kinetic Model
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C5H7NO2+5O25CO2 +2H2O+NH3113 32
(Sykes,1975)
5x32 = 1.42 units of O2 per unit of
biomass 113 synthesized
Actual O2 required per day
=Q(BODuo—BODue) -- 1.42Q(Yocs(So-Se))
1000Q=cum/day BOD=mg/l
ocs– unoxidised cells
8/2/2019 Activated Sludge _kinetic Model
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II LAWRENCE 1975
O2 requirement = Q[{1-1.42Y}(Se-So)]+1.42K d V aX
1000
8/2/2019 Activated Sludge _kinetic Model
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EXTENDED AERATION
Major objective :minimization of sludge Primary settling tank omitted, larger Θc
and Θ hence PST not provided. Theoretically ,
Absolute growth rate =0 i.e. dy =0dt
Viz , amount of biomass produced duringorganic removal = amount oxidised to
provide for energy requirements
8/2/2019 Activated Sludge _kinetic Model
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Y(ds/dt)u Va=K dxVa
YQ(So-Se)=K dxVa
Va=YQ(Se-So) (ds/dt)u =
Q(So-Se)/Va
K aX
• No sludge is produced
• Poor aggregation of biomass• Poor settleability
• High energy costs as larger volumes to bekept mixed and O2 needed for
endogenous respiration is also satisfied.
8/2/2019 Activated Sludge _kinetic Model
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Tempearture effects on ASPparametersArrhenius relationship
d(ln k) = Ea . 1
dt R T2
K= retention rate constant
Ea=activation energy constant
R=gas constant
T=temp
t=temp as continous independent variableintegrating between limits T1 and T2.
8/2/2019 Activated Sludge _kinetic Model
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Optimum
maxmin
Rategrowth
temp
Enzyme denaturation---physiological state of bacteriaaffected
8/2/2019 Activated Sludge _kinetic Model
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ln (k 2/k 1)=Ea .(T2-T1)R T2-T1
ln (k 2/k 1)=const(T2-T1)⇒k 2/k 1= e^const(T2-T1)
⇒k 2/k 1=Θ ^(T2-T1) whereΘ= e^const
⇒Biological processes follow arrheniusrelationship within narrow range.
⇒Θ1.01 to 1.04 for ASP