Biotreatment of industrial effluents CHAPTER 4 – mathematical models Biotreatment of industrial effluents CHAPTER 4 – mathematical models Biotreatment of industrial effluents CHAPTER 4 – mathematical models Biotreatment of industrial effluents CHAPTER 4 – mathematical models Biotreatment of industrial effluents CHAPTER 4 – mathematical models Biotreatment of industrial effluents CHAPTER 4 – mathematical models
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Mathematical Models
This chapter describes m a t h e m a t i c a l models for the design of basic batch and continuous reactors; the design of aerobic activated-sludge process; the mass transfer and diffusion correlations needed for design; diffusion through landfill; and diffusion of airborne pollutants
In order to develop a reactor model, the following information is required:
9 Kinetics of reaction (including inhibition kinetics)
9 Mass transfer from gas to liquid
9 Mass transfer from liquid (substrate or nutrient) to surface of the micro- organism
9 Heat transfer
9 Mixing and agitation
9 Type of reactor
9 Physical properties of the m e d i u m
9 Physical properties of the microorganism
9 Mode of operation of the reactor
Modeling the pollutant transport process requires knowledge of the following subjects:
9 Diffusion coefficients of the pollutant in soil, liquid, or atmosphere
9 M e d i u m conditions (temperature, pH, etc.)
9 Flow and turbulence
9 Concentration of the c o n t a m i n a n t
9 Physical properties of the m e d i u m and the pollutant
Basic Reactor Models
The basic design parameters for various types of reactors are as follows;
39
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Batch R e a c t o r
t - ~ S(t) dS
d So rs
C o n t i n u o u s l y Stirred T a n k R e a c t o r
(4-1)
V (So - S)
M o n o d C h e m o s t a t
The Monod Chemostat is an extension of the continuously stirred tank reac- tor (CSTR)model, which considers both substrate utilization and the cell growth
The cell balance is
where D - V/qo If the number of cells entering the reactor is approximately
0, then
The substrate balance is given by
where kt is the specific growth rate and is given by the Monod equation,
~tmaxS
K s + S
This leads to equations for exit substrate and cell concentrations, respectively,
C S T R w i t h Recycle
Plug Flow R e a c t o r
_
V _ rls(t) dSm (4-10)
qo dSo - r s
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Fed B a t c h R e a c t o r
In this mode of operation there is no outflow, but after the initial reactor charge, nutrient(s) addition is intermittent, causing the substrate concentra- tion and reactor volume to vary w i t h time
S e q u e n t i a l B a t c h R e a c t o r
A sequential batch reactor operates in the fed batch mode; both concentra- tion and reactor volume vary w i t h time
E x t e n d e d Fed B a t c h
In this m e t h o d the feed to the reactor is constant, leading to a constant substrate concentration inside the reactor (i.e., dS/dt - 0)
D e s i g n of B i o t r i c k l i n g F i l t e r
The performance of a biotower (a tall biotrickling filter w i t h well-structured packing that uses a modular plastic media, leading to high porosity) is given
by the following correlation:
Effluent to influent substrate biological _kH/qn
oxygen demand (BOD)(mg/L) = e where Q = hydraulic loading rate, m g / m 2 m i n
k = treatability constant, a function of wastewater and m e d i u m characteristics (per minute), = 0.01 to 0.1 (0.06 for
modular plastic media)
H = bed height, m
n = 0.5 for municipal waste and modular plastic media
(an empirical constant)
For a trickle bed air biofilter, a performance equation similar to the previous one can be written as
Effluent to influent volatile
o~ exp ( - ~ D A s H K s m / u g S S i )
organic compound concentration
D = mass diffusivity in biofilm, m 2 / m i n
As = biofilm surface area per unit volume of packing material, m 2 / m 3
H = height of the biofilter, m
m = t h e r m o d y n a m i c distribution coefficient
ug = superficial gas velocity, m / m i n
= biofilm thickness, m
Si - influent concentration, m o l / m 3
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FIGURE 4-1 Three-phase system
Ks = M i c h a e l i s M e n t e n c o n s t a n t , m o l / m 3
and ~ = c o r r e l a t i o n c o n s t a n t s
A d e t a i l e d m o d e l for t h e bed can be w r i t t e n f r o m the basic m a s s b a l a n c e
e q u a t i o n s Steady state m a s s transfer c o m b i n e d w i t h r e a c t i o n s in t h e gas, liquid, and b i o m a s s p h a s e s are w r i t t e n as follows (see Fig 4-1) T h e r e is no
r e a c t i o n in t h e gas phase S u b s t r a t e flux r e s u l t i n g f r o m c o n v e c t i o n in t h e x
d i r e c t i o n is negligible w h e n c o m p a r e d w i t h diffusion Inside t h e liquid and
t h e biofilm, liquid transfer in t h e z d i r e c t i o n is neglected
Vg-~z -Dg-d~x2 = 0 for - x 3 < x < 0 (4-12)
Vl-~z - Dl-d~x2 - Xl,max Ks + ~ = 0 for 0 < x _< Xl (4-13)
- D b - ~ z 2 - D b ~ x 2 -Xb~tmaXKs + ~ = 0 f o r x l < x < x2 (4-14)
w i t h b o u n d a r y c o n d i t i o n s ,
S(x = 0, z) = So,1 for 0 < z < L S(x, z = 0 ) = 0 f o r 0 < x < x 2 S(x, z = 0) = So, ~ for x3 < x < 0
dSx=x2/dx = 0 for 0 < z < L
1 a n d g r e p r e s e n t liquid and gas, respectively Dg, D1, and D b are t h e diffusion coefficients in t h e gas, liquid, and b i o f i l m phases, respectively
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Reaction Kinetics
The simple kinetic equation for a single substrate reaction is
where n is the order of the reaction and k is the rate constant, which is a function of temperature and could be of the form
M i c h a e l i s M e n t e n E q u a t i o n
The rate equation for enzyme catalyzed reactions is given by the Michaelis Menten equation
r s = K m + S
The rate equation changes in the presence of inhibitors The most important
of these are as follows
rs Km (1 q- I / K i ) q- S
U n c o m p e t i t i v e i n h i b i t o r
Vma X S
rs = Km q- S (1 q - I / K i ) (4-19)
N o n c o m p e t i t i v e i n h i b i t o r
Vma X S
S u b s t r a t e i n h i b i t i o n ( u n c o m p e t i t i v e )
VmaxS
P r o d u c t i n h i b i t i o n ( u n c o m p e t i t i v e )
VmaxS
rs = (Km q- S)(~ Jr-(S o - S ) / K i )
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M o n o d E q u a t i o n
T h e r e are several forms of modified M o n o d equation; the basic one is:
~max S
Rapid growth
~max S
KsSo + Ki + S Teisser model
[-t [-tmax ( 1 - - e -s/Ks) (4-25)
Moser model
1 +KsS -~
account
~,~max S
K I X + S
Substrate and product inhibition models are also possible T h e y are similar to the e n z y m e rate equations If two substrates are rate limiting,
t h e n the M o n o d equation becomes:
~tmaxS1 82
Ks1 + $1 Ks~ + $2 Growth rate equation with maintenance of the cells
~[max S
KG+S
Oxygen Transfer Rates
T h e oxygen transfer rate per u n i t liquid v o l u m e is kLa (C* L - C L ) T h e t e r m
w i t h i n parentheses is the driving force, kL is the mass transfer coefficient, and a is the interfacial area per u n i t liquid volume
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M a s s T r a n s f e r a n d D i f f u s i o n C o e f f i c i e n t s
There are several equations available for estimating the mass transfer and diffusion coefficients
Mass transfer coefficient from fluid to solid or gas to liquid for particles less than 0.60 m m
where kr is in m/s, diameter in m, density in kg/m 3, viscosity in kg/m.s, and g in m/s 2
Gas to liquid mass transfer for bubble swarms when d < 2.5 m m
7~/1/3 ~'/1/3 (4-31) Nsh kLdp/Do2 - 0.3 l~,sc ~'Gr
Gas to liquid mass transfer for bubble swarms when d > 2.5 m m
Nsh krdp/Do2 - 0.3-~,Sc ~'Gr
Mass transfer into a free liquid surface or into a falling film
where ~ is the surface renewal time, which is the stream depth per average velocity Another equation is,
Mass transfer correlation for an agitated aerated vessel under turbulent
12 ~T 1/37~T 3/4 (4-36) Xsh 0 Sc ~'Re
(In this equation, we use the impeller diameter as the characteristic length for NRe)
Mass transfer correlation for agitated vessel under turbulent condi-
Taking the power input by the agitator into consideration
9(~7M1/4MB/41~T1/4 ( )1/4 NSh K L D T / D 0 2 0 Sc ~'Re ~'p D4/VDi (4-37)
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(In this equation, the characteristic length of Xsh is the tank diameter and the characteristic length of NRe is the impeller diameter.)
Interfacial area per unit liquid volume (a)
Equations are found in the literature for calculating eg, bubble v o l u m e to reactor v o l u m e (which generally varies between 8 and 30%)
Diffusivities of small solutes in aqueous solutions with molecular weights less than 1000 (Geankoplis, 2003)
9.96 x 10-16T
~tB A Semiempirical equation of Polson for calculating diffusivities with molecular weights above 1000,
9.40 x 10-15T
~tBlW A
Wilke-Chang equation for calculating diffusivities for dilute solutes in liquids
1.173 x 10 -16 ((pMA) 1/2 T
gB v~
Mass transfer correlations for packed beds
J D - 1.09NR2e/3/r
JD 0.25NR 0"31/E
JD 0.4548NR0"4069/~
NRe = 0.0016 to 55, Nsc = 165 to 70,600 (4-43) NRe = 55 to 1500, Nsc = 165 to 10,690 (4-44)
where JD - kcNs2cl31 v'
v' = e m p t y tube velocity of the gas
Guedes de Carvalho et al (1991) give an empirical correlation for mass transfer to or from the spheres in a fluidized bed reactor
N~h [4 + 0.576N~e 0"78 + 1.28N~e + 0.141 (dp/Dr) N~e2] 0"5 (4-46) where N' - Sh v~kr, DT/edp
g~e - ~/~gmf DT/ed p
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Activated Sludge Process
Most of the biomass occurs as flocs or aggregates, and the concentration
of biomass is referred to as mixed liquid suspended solids (MLSS, ~1500
to 3500 rag/L) Sludge loading (kg BOD/mg/day, ~0.4 to 1.2) is the ratio of biodegradable organic material to active biomass (Forster, 1990)
flow rate x BOD
Organic loading rate (kg MLSS.day/OLR, kg BOD) =
BOD (g/L) x flowrate(m3/day) BOD
For high rate, conventional, and extended aeration systems, the OLR varies between 0.5 and 5, 0.25 and 0.45, and 0.05 and 0.2, respectively Sludge age (s)
MLSS (g/L) x aeration tank volume (m 3) sludge wasted (kg/day)+ [flow rate (m3/day) x effective solids (g/L)]
(4-49)
M i n i m u m sludge age compatible with nitrification (t*)
1/[0.18 - 0.15 (7.2 - pH)] e 0"12(T-15) (4-50)
Daily carbonaceous oxygen requirement (kg/day)
Air requirement for extended aeration
BOD + 4.34NH - 2.85NT + (0.024 MLSS)Vr x 1.07 T-2~ (4-52)
Air requirement for extended aeration and burning only carbonaceous material at 20~
The mass balance equation for biomass production in a completely stirred, tank-activated sludge reactor is (see Fig 4-2)"
Biomass in the influent + biomass produced
= biomass in the effluent + sludge wasted
dX
q o X o q- V 77- - (qo - q w ) X e -ff q w X w
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Treated effluent CZ> S, X I Settling tank I
"J O
V
t i t s , x
Air
~, ~:w Underflow q~ S~ X w Recycle of concentrated sludge
Sludge wasted
FIGURE 4-2 Activated sludge process
B l o m a s s p r o d u c t i o n rate
When the biomass amount in the inflow and outflow liquid streams is negligible, then Xo and Xe - O Equation (4-54)becomes
Mass balance e q u a t i o n for substrate utilization
Substrate c o n s u m p t i o n rate
dS F mS I X
dt - LKs + S Y (4-58)
Since degradation is taking place only in the aeration tank,
Substituting Eqs (4-58) and (4-59) into Eq (4-57)
~tmS qo Y(So - S)
Cell residence t i m e (sludge age)
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o r
1 [.tmS
Oc Ks + S
H y d r a u l i c r e s i d e n c e t i m e
Combining Eqs (4-56) and (4-60), i.e., cell and substrate utilization balances,
Substituting Eqs (4-61) and (4-63) into (4-64) gives an equation for the amount of biomass in the exit stream of the activated sludge plant
Y(So - S) Oc
(1 +keOc) O
V o l u m e t r i c l o a d i n g rate is the ratio of the mass of BOD in the influent
to the volume of reactor
Food to m a s s ratio is the ratio of mass of BOD removed to the biomass
in the reactor
If the aeration vessel is a plug flow type (complete mixing in the radial direction and no mixing in the direction of flow), then
0c (So - S) + (1 - a)Ks In Si/S
where ~ is the recycle ratio and Si is the substrate concentration after mixing the feed with the recycled sludge
(So + aS)
(1 + a )
Ponds and Lagoons
In the case of facultative systems, complete mixing is assumed for the liquid portion of the reactor The solids that fall to the bottom are not resuspended; hence the balance considers only the soluble BOD This soluble food is
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assumed to be distributed uniformly, and if the rate is assumed to be first order, then
where S and So = the soluble food entering and leaving the system,
respectively
k = the first order rate constant
0 = the hydraulic residence time
If n reactors are arranged in series then,
So (1 + ke/n) n
where Sn is the concentration of the soluble food leaving reactor n
(4-71)
Transport in Soils
When liquid organic pollutants are released into the soil, they can become physically bound w i t h i n the soil phase, as well as at the pore spaces that sep- arate the soil particles from one another A single particle has an intraparticle porosity that characterizes the internal structure of the particle as well as an interparticle porosity that characterizes the packing of the particles
An empirical relation that can be used to estimate effective diffusivity (Deft) of liquid through soil bed is (Middleman, 1998)
D e f t E2Df
RK ~ + (1 - ~)KpPs
where RK = retardation of diffusion due to the absorption of the solute on
the surface of the particle
ps = mass density of the solid phase
Kp - equilibrium constant relating the c o n t a m i n a n t concentration
in the fluid and solid phases
Df diffusion coefficient of the c o n t a m i n a n t in the fluid phase
e = bed porosity
The a m o u n t of c o n t a m i n a n t remaining in a spherical particle at any
t i m e t is obtained by integrating the diffusion equation as follows:
M ( t ) _ 6 ~ 1 [ (Deff/RK)n2~2t]
n = l where Mo is the initial a m o u n t of c o n t a m i n a n t and R is the radius of the particle Except for early times, the second and subsequent terms in the