asp kinetic model

Upload: akash-khandelwal

Post on 07-Apr-2018

222 views

Category:

Documents


0 download

TRANSCRIPT

  • 8/4/2019 ASP Kinetic Model

    1/19

    ACTIVATED SLUDGE : Kinetic

    Model

    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.

  • 8/4/2019 ASP Kinetic Model

    2/19

    A,T,

    Va, X,Se

    Secondary

    Clarifier

    Q, So

    Q(1+R)

    X, Se

    (Q-Qw),

    Xe, Se

    Qw, Xr, SeRQ, Xr, Se

    ACTIVATED SLUDGE KINETIC MODEL

  • 8/4/2019 ASP Kinetic Model

    3/19

    Material balance equation for biomass

    across full system.

    (dx/dt)va =(Y(ds/dt)u--kdX)Va --XVa /cIn steady state conditions (constant MLSS

    maintained)

    =>(dx/dt)=0=>1/c =Y(ds/dt)u -- kd

    X

    =>(ds/dt)=k.SeX Monods equation 1st

    orderk+Se

    =>Se = ks(1+kdc )c (Yk--kd)--1

  • 8/4/2019 ASP Kinetic Model

    4/19

    (dS/dt) va =Q So - (ds/dt)u va - (1+R) QSeunder steady state conditions

    (ds/dt)u = Q(So-Se)X Va(1/ c+ kd)

    X = c Y Q(So-Se)

    Va(1+kdc )

    Sludge recycled : because

    1.Increased MLVSS-increased efficiency of process.

    2.Better flocculation.3.Improved performance- acclimated biomass.

    Material balance equation forsubstrate in A.T

  • 8/4/2019 ASP Kinetic Model

    5/19

    ACTIVATED SLUDGE PROCESS

    Concept of mean cell residence time

    Mean cell residence time c is the time for whichcell remains in the system .

    The physiological state of the microorganisms can becontrolled by simply regulating the rate at which

    cells are wasted from the system .Cells could be wasted either directly from the

    aeration tank viz c =VX/QwX =V/Qw

    Or from the recycled line viz c =VX/QwX r

  • 8/4/2019 ASP Kinetic Model

    6/19

    MERITS/DEMERITS OF SLUDGEWASTING FROM THE A.T.Better process control since microorganism

    concentration X,Xr need not be determined.

    Larger volume of waste sludge hence larger sludgehandling units.

  • 8/4/2019 ASP Kinetic Model

    7/19

    Concept of mean residence time .

    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. Ifit is desirable to retain cells in the system for a longertime how could be this be achieved in practice?

    2. Would the retention time of cells in your opinion haveany bearing on the physiological state of themicroorganisms?

    3. Can the physiological state of the microorganisms becontrolled? How?

  • 8/4/2019 ASP Kinetic Model

    8/19

    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 kgmass of cell remaining in the system for 750/150= 5

    days

    Question :What conclusion can be drawn from these two

    examples?

  • 8/4/2019 ASP Kinetic Model

    9/19

    MINIMUM BIOLOGICAL CELL

    RETENTION TIME

    If cells are removed from the system at a rate faster than thetheir generation rate, cell washout will occur.

    min c = ?

    If c = c min ( min, than rate of cells leaving = rate of cellsgenerated .no treatment is possible i.e.So =Se1/c =Y(ds/dt)u -- kd

    X1/c min =Y(ds/dt)u -- kdX

  • 8/4/2019 ASP Kinetic Model

    10/19

    ,

    So=2

    So=1.5

    So= 1Cell conc.curves

    Substrate

    conc.

    M.C.R.T

    Se,X

    cmin

  • 8/4/2019 ASP Kinetic Model

    11/19

    INFERENCES FROM THE KINETIC

    MODELIndependence between So and Se implies that :

    -As long as c is held constant ,any change in So willresult in change in X but not in Se .

    -It is not necessary to use same influent concentrationfor lab as encountered in field to determine kineticcoefficient .

    Advantages .unknown concentration before start up

  • 8/4/2019 ASP Kinetic Model

    12/19

    ASP OXYGEN REQUIREMENT

    Oxygen is the ultimate electron acceptor in anaerobic process.

    Low oxygen concentration causes process failures

    Method for computation:Total oxygen required =Q(BODuoBODue)

    However , not all substrate is oxidized. Part of it isconverted to new cells (synthesis).At steady statecells wasted = cells formed

    Therefore substrate synthesized to new biomassdoesnt exert any oxygen demand.

  • 8/4/2019 ASP Kinetic Model

    13/19

    C5H7NO2+5O25CO2 +2H2O+NH3113 32 (Sykes,1975)

    5x32 = 1.42 units of O2 per unit of biomass113 synthesized

    Actual O2 required per day

    =Q(BODuoBODue) -- 1.42Q(Yocs(So-Se))

    1000

    Q=cum/day BOD=mg/locs unoxidised cells

  • 8/4/2019 ASP Kinetic Model

    14/19

    II LAWRENCE 1975

    O2 requirement = Q[{1-1.42Y}(Se-So)]+1.42KdVaX

    1000

  • 8/4/2019 ASP Kinetic Model

    15/19

    EXTENDED AERATION

    Major objective :minimization of sludge

    Primary settling tank omitted, larger c and

    hence PST not provided.Theoretically ,Absolute growth rate =0 i.e. dy =0

    dt

    Viz , amount of biomass produced during organicremoval = amount oxidised to provide for energy

    requirements

  • 8/4/2019 ASP Kinetic Model

    16/19

    Y(ds/dt)u Va=KdxVa

    YQ(So-Se)=KdxVa

    Va=YQ(Se-So) (ds/dt)u = Q(So-Se)/Va

    KaX No sludge is produced

    Poor aggregation of biomass

    Poor settleability High energy costs as larger volumes to be kept

    mixed and O2 needed for endogenous respirationis also satisfied.

  • 8/4/2019 ASP Kinetic Model

    17/19

    Tempearture effects on ASP parameters

    Arrhenius relationship

    d(ln k) = Ea . 1

    dt R T2K= retention rate constant

    Ea=activation energy constant

    R=gas constantT=tempt=temp as continous independent variable

    integrating between limits T1 and T2.

  • 8/4/2019 ASP Kinetic Model

    18/19

    Optimum

    maxmin

    Rategrowth

    temp

    Enzyme denaturation ---physiological state of bacteriaaffected

  • 8/4/2019 ASP Kinetic Model

    19/19

    ln (k2/k1)=Ea .(T2-T1)R T2-T1

    ln (k2/k1)=const(T2-T1)k2/k1= e^const(T2-T1)

    k2/k1= ^(T2-T1) where = e^const

    Biological processes follow arrhenius relationshipwithin narrow range.

    1.01 to 1.04 for ASP