the use of the anaerobic baffled
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REVIEW PAPER
THE USE OF THE ANAEROBIC BAFFLED REACTOR
(ABR) FOR WASTEWATER TREATMENT: A REVIEW
WILLIAM P. BARBER*M and DAVID C. STUCKEY**M
Department of Chemical Engineering and Chemical Technology, Imperial College of Science,Technology and Medicine, Prince Consort Road, London SW7 2BY, U.K.
(First received May 1998; accepted in revised form August 1998)
AbstractA review concerning the development, applicability and possible future application of the an-aerobic baed reactor for wastewater treatment is presented. The reactor design has been developedsince the early 1980s and has several advantages over well established systems such as the upow an-aerobic sludge blanket and the anaerobic lter. These include: better resilience to hydraulic and organicshock loadings, longer biomass retention times, lower sludge yields, and the ability to partially separatebetween the various phases of anaerobic catabolism. The latter causes a shift in bacterial populationsallowing increased protection against toxic materials and higher resistance to changes in environmentalparameters such as pH and temperature. The physical structure of the anaerobic baed reactor enablesimportant modications to be made such as the insertion of an aerobic polishing stage, resulting in areactor which is capable of treating dicult wastewaters which currently require several units, ulti-mately signicantly reducing capital costs. # 1999 Elsevier Science Ltd. All rights reserved
Key wordsanaerobic baed reactor, anaerobic digestion, reactor development, performance, solidsretention, molids odelling, full-scale.
INTRODUCTION
The successful application of anaerobic technology
to the treatment of industrial wastewaters is criti-
cally dependent on the development, and use, of
high rate anaerobic bioreactors. These reactors
achieve a high reaction rate per unit reactor volume
(in terms of kg COD/m3 d) by retaining the biomass
(Solids Retention Time, SRT) in the reactor inde-
pendently of the incoming wastewater (Hydraulic
Residence Time, HRT), in contrast to Continually
Stirred Tank Reactors (CSTRs), thus reducing reac-
tor volume and ultimately allowing the application
of high volumetric loading rates, e.g. 1040 kgCOD/m3 d (Iza et al., 1991). High rate anaerobic
biological reactors may be classied into three
broad groups depending on the mechanism used to
achieve biomass detention, and these are xed lm,
suspended growth, and hybrid. There are currently
900 full-scale installations in the world today
(Habets, 1996), and they are distributed as follows:
Upow Anaerobic Sludge Blanket (UASBsus-
pended growth) 67% (Lettinga et al., 1980); CSTR
12%; Anaerobic Filter (AFxed lm) 7% (Young
and McCarty, 1969); other 14%. The highest load-
ing rates achieved during anaerobic treatment to
date are attributed to the ``Anaerobic Attached
Film Expanded Bed'' (AAFEB) reactor (120 kg
COD/m3 d, Switzenbaum and Jewell (1980)), but its
inherent complexity and high operating costs limit
its practical use on a wide scale.
Around the same time as Lettinga developed the
UASB, McCarty and co-workers at Stanford
noticed that most of the biomass present within an
anaerobic Rotating Biological Contactor (RBC,
Tait and Freidman (1980)) was actually suspended,
and when they removed the rotating discs they
developed the Anaerobic Baed Reactor (ABR,
McCarty (1981)). However, baed reactor unitshad previously been used to generate a methane
rich biogas as an energy source (Chynoweth et al.,
1980). Although not commonly found on a large
scale, the ABR has several advantages over other
well established systems, and these are summarised
in Table 1.
Probably the most signicant advantage of the
ABR is its ability to separate acidogenesis and
methanogenesis longitudinally down the reactor,
allowing the reactor to behave as a two-phase sys-
tem without the associated control problems and
high costs (Weiland and Rozzi, 1991). Two-phase
operation can increase acidogenic and methano-genic activity by a factor of up to four as acido-
genic bacteria accumulate within the rst stage
Wat. Res. Vol. 33, No. 7, pp. 15591578, 1999# 1999 Elsevier Science Ltd. All rights reserved
Printed in Great Britain0043-1354/99/$ - see front matterPII: S0043-1354(98)00371-6
*Author to whom all correspondence should be addressed.[Tel. +44-171-594-5591; Fax: +44-171-594-5604, E-mail: [email protected]].
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(Cohen et al., 1980, 1982), and dierent bacterial
groups can develop under more favourable con-
ditions. The advantages of two-phase operation
have been extensively documented (Pohland and
Ghosh, 1971; Ghosh et al., 1975; Cohen et al.,
1980, 1982). These benets have catalysed the devel-
opment of other staged reactor congurations such
as the ``Multiplate Anaerobic Reactor'' (El-
Mamouni et al., 1992; Guiot et al., 1995), ``Upow
Staged Sludge Bed (USSB)'' (van Lier et al., 1994,
1996) and the ``Staged Anaerobic Filter'' (Alves et
all., 1997), all of which have showed considerable
potential for wastewater treatment. Disadvantages
of the baed reactor design at pilot/full-scale
include the requirement to build shallow reactors to
maintain acceptable liquid and gas upow vel-
ocities, and problems with maintaining an even dis-
tribution of the inuent (Tilche and Vieira, 1991).
However, despite its many potential advantages
over other high rate anaerobic reactor designs, and
the ever-increasing number of publications, there
has never been any attempt to collate all this infor-
mation in a review. Hence, the objective of thispaper is to review the currently available literature
on the ABR, focusing on reactor development, hy-
drodynamics, performance, biomass characteristics
and retention, modelling, full-scale operation and a
comparison with other well established alternatives.
Finally, based on the review, a closing section will
discuss future prospects for the ABR.
REACTOR DEVELOPMENT
The ABR is a reactor design which uses a series
of baes to force a wastewater containing organic
pollutants to ow under and over (or through) thebaes as it passes from the inlet to the outlet
(McCarty and Bachmann, 1992). Bacteria within
the reactor gently rise and settle due to ow charac-
teristics and gas production, but move down the
reactor at a slow rate. The original design is shown
in Fig. 1(C), although Fig. 1(A) is more commonlyrecognised. However, in order to improve reactor
performance several modications have been made
(Fig. 1(B and DJ)). The main driving force behind
reactor design has been to enhance the solids reten-
tion capacity, but other modications have been
made in order to treat dicult wastewaters (e.g.
with a high solids content, Boopathy and Sievers
(1991)), or simply to reduce capital costs (Orozco
(1997), Fig. 1(F)). A summary of the main altera-
tions is shown in Table 2.
In 1981, Fannin et al. (1981) added vertical baf-
es to a plug-ow reactor treating high solids sea
kelp slurry (Fig. 1(C)) in order to enhance the reac-
tor's ability to maintain high populations of slowly
growing methanogens, which were being replaced
by the inuent solids. With a constant loading rate
of 1.6 kg COD/m3 d methane levels increased from
30 to over 55% with a methane yield of 0.34 m3/kg
VSS after the baes were added. In a later study,
Bachmann et al. (1983) compared the performance
of two baed reactors before and after narrowing
the downow chambers and slanting the bae
edges (Fig. 1(A) and Table 2). Although methane
production rates and reactor eciency were
improved in the modied design, a decrease in the
methane content of the biogas was also noted.
Despite the alterations, the performance of bothreactors was inferior to an anaerobic lter and
rotating biological disc operated under the same
conditions. COD removal eciencies were 82, 92
and 90% for the modied bae, anaerobic lter,
and rotating biological disc reactors respectively.
The next major change occurred with the devel-
opment of the rst of several hybrid designs (Tilche
and Yang, 1987, Fig. 1(E)). The motivation behind
the alterations was based on enhancing solids reten-
tion for high strength wastewater treatment. The
reactor was signicantly larger than those used pre-
viously, and incorporated a solids settling chamber
after the nal compartment. Solids washed out
from the baed reactor were collected in thesettling chamber and subsequently recycled to the
rst compartment. Packing was also positioned at
the liquid surface of each compartment with ran-
domly packed Pall rings in the rst two chambers,
and a deeper, structured, modular corrugated block
which had a high voidage in the third chamber.
Bioocs, which became buoyant due to a reduction
in density caused by high gas production, were
retained in the rst chamber due to the packing.
Higher loading rates were possible with this struc-
ture due to minimal solids washout during elevated
gas mixing. Each gas chamber was separated per-
mitting the measurement of gas composition andproduction from each compartment. Although ben-
ecial in this regard, the separation of the gas can
Table 1. Advantages associated with the anaerobic baed reactor
Advantage
Construction1 Simple design2 No moving parts3 No mechanical mixing4 Inexpensive to construct5 High void volume6 Reduced clogging7 Reduced sludge bed expansion8 Low capital and operating costsBiomass1 No requirement for biomass with unusual settling properties2 Low sludge generation3 High solids retention times4 Retention of biomass without xed media or a solid-settlingchamber5 No special gas or sludge separation requiredOperation1 Low HRT2 Intermittent operation possible3 Extremely stable to hydraulic shock loads4 Protection from toxic materials in inuent5 Long operation times without sludge wasting6 High stability to organic shocks
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also enhance reactor stability by shielding syn-
trophic bacteria from the elevated levels of hydro-
gen which are found in the front compartments of
the baed reactor.
In order to treat swine wastewater containing a
high content of small particulate material,
Boopathy and Sievers (1991) further modied the
baed reactor. The main problems associated with
the treatment of swine wastewater in a baed reac-
tor were the inability to produce a oating sludge
layer which would enhance solids retention, and,
the high velocities associated with the baes causedsignicant washout of solid material. Therefore, the
baed reactor was modied to reduce upow liquid
velocities and to accept whole waste. The rst com-
partment of a two-chamber unit was doubled in
size to 10 l and this was followed by a second com-
partment of 5 l (Fig. 1(G)). Performance character-
istics and solids retention capabilities were
compared with a three-chamber unit with equal
volume chambers. The additional chamber in the
three-compartment unit, together with physical
modications, provided a longer solids retention
time and superior performance than the reactor
with only two compartments. This was in contrast
to earlier ndings (Sievers, 1988), when no dier-ence was found in treatment eciency compared
with compartment number in unmodied reactors.
Fig. 1. Variations of the baed reactor. (A) Single gas headspace, (B) individual gas headspace, (C)vertical, (D) horizontal, (E) hybrid with settling zone, (F) open top, (G) enlarged rst compartment,(HJ) various packing arrangements: (H) up-comers, (I) down-comers, (J) entire reactor. Key:
W = Wastewater, B = Biogas, E = Euent, S = Solids, (shaded areas represent random packing).
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The larger compartment in the two-compartment
reactor acted as a natural lter and provided su-perior solids retention for the small particles. The
reactor collected twice the amount of solid material
(20.9 g/l) than the reactor with three chambers. This
was further substantiated in the solids washout
data, which was lower in the two-compartment
reactor despite showing lower treatment eciency.
Further analysis showed that despite losing more
solids, the three-compartment reactor was more e-
cient at converting the trapped solids to methane.
REACTOR HYDRODYNAMICS
Flow patterns
The hydrodynamics and degree of mixing that
occur within a reactor of this design strongly inu-
ence the extent of contact between substrate and
bacteria, thus controlling mass transfer and poten-
tial reactor performance. In 1992, Grobicki and
Stuckey conducted a series of residence time distri-
bution studies by tracking the fate of an inert tracer
(Li+) in the euent of a number of baed reactors
(48 chambers), both with and without biomass, at
various HRTs, and incorporated the data into
``Dispersion'' and ``Tanks In Series'' models pre-
viously described by Levenspiel (1972). The models
provided a useful method to calculate the degree of
mixing and the amount of unused volume (known
as ``dead space'') within the reactor. They found
low levels of dead space (80% in a CSTR (Stuckey, 1983).
Dead space increased to 18% on the addition of
8 g VSS/l, however, no direct correlation between
hydraulic dead space and HRT could be drawn. At
low HRT, the presence of biomass had no signi-
cant eect on hydraulic dead space, which was
found to be a function of owrate and number ofbaes. This contrasted with biological dead space,
which was found to be a function of biomass con-
centration, gas production, and owrate, and which
increased with increasing owrates. At high loadingrates caused by low HRT, gas production as well as
increased owrates kept sludge beds partly uidised.
Therefore, the contradictory eects of hydraulic
and biological dead space prevented a correlation
being derived between HRT and overall dead space.
Biological dead space was established as the major
contributor to overall dead space at high HRT, but
its eect decreased at lower HRT since gas pro-
duction disrupted channelling within the biomass
bed. Severe channelling, caused by large hydraulic
shocks, was found to be benecial since most of the
biomass was not entrained in the ow, and this
resulted in low washout and a fast recovery in per-formance (Grobicki and Stuckey, 1992; Nachaiyasit
and Stuckey, 1997c). Nevertheless, investigations of
the hydrodynamics to date have not taken into
account various other factors which are probably
important, and these include biogas mixing eects,
viscosity changes due to extracellular polymer pro-
duction, and biomass particle size. In addition, no
work has been done of the rate at which solid par-
ticles/biomass move down the reactor.
Eect of euent recycle
Recycling the euent stream tends to reduce
removal eciency because the reactor approaches a
completely mixed system, and therefore the mass
transfer driving force for substrate removal
decreases despite a small increase in the loading
rate. The eect of loading rate and increasing re-
cycle ratios on performance is shown in Table 3.
Chynoweth et al. (1980) observed a positive eect
caused by recycling twenty percent of the euent,
when the methane yield increased by over 30%.
The addition of a recycle stream was also found to
alleviate the problems of low pH caused by high
levels of volatile acids at the front of the reactor,
and discourage gelatinous bacterial growth at the
reactor inlet for the treatment of a complex protein
carbohydrate wastewater (Bachmann et al., 1983).Another benet of recycle is the dilution of toxi-
cants and reduction of substrate inhibition in the
Table 2. Development of the ABR
Fig. Modication Purpose Ref.
1(C) addition of vertical baes to a plug-ow reactor
enhances solids retention to allowbetter substrate accessibility tomethanogens
Fannin et al., 1981
1(A) (i) down ow chambers narrowed (i) encourages cell retention in up owchambers
Bachmann et al., 1983
(ii) slanted edges on baes (40458) ( ii) rou tes ow t owa rds cent re of compartment encouraging mixing
1(E) (i) settling chamber (i) enhances solids retention Tilche and Yang, 1987(ii) packing positioned at top of eachchamber
(ii) prevents washout of solids
( ii i) s epar at ed ga s chamber s ( iii ) eas e and con tr ol of ga smeasurement, provides enhancedreactor stability
1( G) e nlar gemen t of r st chamber bet ter tr eat abil it y of hig h sol idswastewater
Boopathy and Sievers, 1991
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inuent. (Bachmann et al ., 1985; Grobicki and
Stuckey, 1991).
From theoretical considerations, recycle should
have a negative eect on reactor hydrodynamics by
causing increased mixing (which encourages solids
loss, and disrupts microstructures of bacteria living
in symbiotic relationships (Henze and Harremoes,
1983)) and enhancing the amount of dead space
(Grobicki and Stuckey, 1992; Nachaiyasit, 1995). In
her thesis, Nachaiyasit (1995) showed that dead
space doubled to approximately 40% when the re-
cycle ratio was increased from zero to 2. The author
also reported a sudden loss of solids when the re-cycle ratio was doubled. Increasing recycle has also
been linked to an increase in the sludge volume
index using anaerobic lters (Matsushige et al .,
1990).
Mixing caused by recycle has also been found to
cause a return to single phase digestion, therefore
the benets arising from the separation of acido-
genic and methanogenic phases are partially lost.
Bachmann et al. (1985) noticed that methanogenic
activity was more uniformly distributed over the
whole reactor after recycle was used. The conse-
quences of this observation are scavenging bacteria
(such as Methanosaeta) will end up at the front ofthe reactor where harsh conditions of high substrate
concentration, high hydrogen partial pressure and
low pH will make them relatively inactive, and
poorly scavenging acid producing bacteria pushed
towards the rear of the reactor will be starved since
less substrate will be available. Nachaiyasit (1995)
discovered a fall in both gas production and
methane composition down the reactor when the re-
cycle ratio was increased.
The overall benets of recycle are unclear, and ul-
timately its use will depend on the type of waste
being treated. If pH problems are severe, the inu-
ent has high levels of toxic material, or high loading
rates are preferred then recycle will be benecial.
However, as can be seen in Table 4, the disadvan-
tages of recycle show that it should be used with
caution, and only when absolutely necessary.
REACTOR PERFORMANCE
Start-up
The overall objective of start-up is the develop-
ment of the most appropriate microbial culture for
the waste stream in question. Once the biomass has
been established, either as a granular particle or a
oc, reactor operation is quite stable. The import-
ant factors governing the start-up of anaerobic reac-
tors have been summarised in the literature
(Stronach et al., 1986; Weiland and Rozzi, 1991;
Hickey et al., 1991), and will not be discussed here.
A collection of data obtained during reactor start-up is shown in Table 5.
Initial loading rates should be low so that slow
growing micro-organisms are not overloaded, and
both gas and liquid upow velocities should be low
so that occulent and granular growth is encour-
aged. The recommended initial loading rate is ap-
Table 3. Reactor performance vs increasing recycle ratio
Recycle ratio Reactor volume (l) In uent COD (g/l) Organic loadingrate (kg/m3 d)
COD removal (%) Ref.
0 13 8 2.70 93b
Bachmann et al., 1985a
0 10 4 4.80 99 Nachaiyasit and Stuckey, 1995b
0.1 10 4 4.80 98 Nachaiyasit and Stuckey, 1995b
0.25 10 4 4.81 97 Nachaiyasit and Stuckey, 1995b
0.5 13 8 2.86 88c
Bachmann et al., 1985a
0.5 10 4 4.87 97 Nachaiyasit and Stuckey, 1995b
1 10 4 4.94 97 Nachaiyasit and Stuckey, 1995b
2.2 13 8 3.85 81c
Bachmann et al., 1985a
2 10 4 5.18 96 Nachaiyasit and Stuckey, 1995b
3 13 8 3.42 91 Bachmann et al., 1985a
5 13 8 5.76 77 Bachmann et al., 1985a
6 13 8 6.83 75 Bachmann et al., 1985a
9.6 13 8 11.01 68 Bachmann et al., 1985a
11.7 13 8 16.92 55 Bachmann et al., 1985a
13.8 13 8 17.62 60 Bachmann et al., 1985a
aRecycle ratios calculated from data supplied based on R = 0 for retention time of 71 h, organic loading rates converted from hydraulic
loading rates supplied.
b
Loading rates calculated from recycle ratio data.
c
Nutrient limited conditions.
Table 4. Advantages and disadvantages of euent recycle
Advantages Disadvantages
1 Front pH increased 1 Overall eciency reduced2 Reduction of inuent toxicity and substrateinhibition
2 Increased solids loss
3 Higher loading rates possible 3 Increased hydraulic dead space4 Better substrate/biomass contact 4 Disruption of bacterial communities and bioocs
5 Encourages one-phase digestion
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proximately 1.2 kg COD/m3 d (Henze and
Harremoes, 1983), however, successful start-up of a
pilot scale ABR has been achieved at signicantly
higher primary loading rates (Table 5, Boopathy
and Tilche (1991)). Although Nachaiyasit (1995)
originally noted adequate performance with an in-
itial loading rate of 13 kg COD/m3 d, an accumu-
lation of intermediate products caused reactor
souring and eventual failure after two weeks of oper-
ation. A possible way to prevent failure by overload-
ing was employed in 1980 by Chynoweth and co-
workers. In order to stimulate the growth of methano-
genic archea, pulses of methane precursors (acetate
and/or an acetate/formate mixture) were added
directly before raising loading rates, and these wereeective in minimising the shock caused by a sudden
increase in organic loading. Alternative methods to
prevent failure include the adjustment of pH in the
rst compartment (Grobicki, 1989). A recent study
(Barber and Stuckey, 1997) has shown that maintain-
ing an initially long detention time (80 h) which is
reduced in a stepwise fashion during which time sub-
strate concentration is kept constant, provides greater
reactor stability and superior performance than a
reactor started-up with a constant and low detention
time coupled to a stepwise increase in substrate con-
centration. These ndings were linked to better solids
accumulation, promotion of methanogenic popu-
lations, and faster recovery to hydraulic shocks in thereactor started at the longer retention time.
Treatment applications
This section reviews the performance of the
baed reactor while treating a variety of waste-
waters, in particular, low and high strength, low
temperature, high inuent solids and sulphate con-
taining waste. Tables 6 and 7 and Fig. 2 summarise
the available literature.
Low strength treatment. Various authors have
treated low strength wastewaters eectively in the
ABR, as shown in Table 8. Dilute wastewaters
inherently provide a low mass transfer driving forcebetween biomass and substrate, and subsequently
biomass activities will be greatly reduced according
to Monod kinetics. As a result, treatment of low
strength wastewaters has been found to encourage
the dominance of scavenging bacteria such as
Methanosaeta in the ABR (Polprasert et al., 1992).
Hassouna and Stuckey (1998), have shown that no
substantial change occurred in the population of
acid producing bacteria down the length of a reac-
tor treating dilute milk waste, indicating the lack of
signicant population selection at low COD concen-
trations.
It appears that biomass retention is enhanced sig-
nicantly due to lower gas production rates
suggesting that low hydraulic retention times
(6 4 2 h) are feasible during low strength treat-
ment. Orozco (1988) noted decreasing overall gas
production with increasing HRTs, and this implied
possible biomass starvation in later compartments
at longer retention times. Another important conse-
quence of low retention times when treating dilute
wastewaters is an increase in hydraulic turbulence,
which can lower apparent Ks values (Kato et al.,
1997) thus enhancing treatment eciency.
Witthauer and Stuckey (1982) observed irregular
COD removal in baed reactors run at low loading
rates and long retention times when treating dilute
synthetic greywater. These problems were associated
with low sludge blankets (inoculum contained less
than 3 g VSS/l) caused after long periods of biomass
settling. Channels were formed within the low blan-
kets and this resulted in low gas productivity in most
of the sludge blanket except for around the channels.
Hence, biogas mixing was greatly reduced and this
resulted in minimal biomass/substrate mass transport.
In contrast, anaerobic lters, operated under the same
conditions, outperformed the baed reactors, even
after their suspended biomass was ushed out in a
hydraulic shock experiment. The authors rec-
ommended that when treating dilute wastewater,
baed reactors should be started-up with higher bio-
mass concentrations (than used in their study) inorder to obtain a suciently high sludge blanket (and
better gas mixing)in as short a time as possible.
Table 5. Start-up data for the ABR
LRa
initialTime
binitial
LRLR
increasedTime
increased LRLR
nalStart-uptimec (d)
InitialVSS (g/l)
Ref.
1 (ramp increase) 4 57 NGd
Boopathy and Sievers, 19912 (ramp increase) 20 >60 NG Bachmann et al., 19830.4 NG 0.53 NG 0.8 >60 NG Yang and Moengangongo, 19874.33 40 10.26 22 12.25 62 4.01 Boopathy and Tilche, 19911.2 7 2.4 10 4.8 77 8.77 Grobicki, 19890.97 NG NG NG 12.25 78 4.01 Boopathy and Tilche, 19922.2 90 2.6 135 3.5 90 NG Boopathy et al., 1988
13.04 failed 18 Nachaiyasit, 19954.35 failed 18 Nachaiyasit, 19951.2 NG 2.4 NG 4.8 >95 18 Nachaiyasit, 1995NG (ramp increase) 20 >100 NG Fox and Venkatasubbiah, 1996
1.2 53 2.4 24 4.8 128 18 Barber and Stuckey, 1997
aLR = loading rate in kg COD/m3 d.bThe amount of time spent at each loading rate (d).cStart-up time quoted is the time required forreactor to reach steady state.
dNG = data not given.
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Table6.Performancedataonbaedreactorsystemsa
Substra
te
Volume(l)
Chambers
Biomass(gVSS/l)
InletCOD(mgCOD/l)
Loadingrate(kg/m
3/d)
CODremoval(%)
HRT(h)
Temperature(8C)
Ref.
Undilutedseakelp
9.8
5
600036,000
0.42.4
360
35
Chynowethet
al.,1980
Diluted
seakelp
10
4
1.6
35
Fanninet
al.,1981,1982
10
4
67,20089,600
5.66.4
288336
35
10
4
80,000
1.6
1200
35
Carboh
ydrateprotein
6.3
5
71007600
220
7982
35
Bachmannet
al.,1983
Syntheticgreywater
8
6
480
0.10.4
6384
4884
2533
WitthauerandStuckey,1982
Carboh
ydrateprotein
6.3
5
8000
2.536
5593
4.871
35
Bachmannet
al.,1985
Diluted
swinewastewater
20
70
H140
37
Xinget
al.,1991
Carboh
ydrateprotein
10
8
18
4000
1.24.8
98,93
20,80
35
NachaiyasitandStuckey,1995
Pharmaceuticalwastewater
10
5
20,000
20
3668
24
35
FoxandVenkatasubbiah,1996
Phenolic
5
2025
22003192
1.672.5
8394
H24
21
Holtet
al.,1997
Glucose
6
5
100010,000
220
7299
12
35
Baeet
al.,1997
Carboh
ydrateprotein
10
8
18
10004000
1.24.8
98
2080
35
BarberandStu
ckey,1998
Domesticsewage/industrialwaste
394,000
8
315c
0.85
70
10.3
15
Orozco,1997
Carboh
ydrateprotein
10
8
18
4000
1.24.8
7583,9397,962
0,20,20
15,25,35
NachaiyasitandS
tuckey,1997a
Carboh
ydrateprotein
10
8
18
4000
4.89.6
9098
20
35
NachaiyasitandS
tuckey,1997b
Carboh
ydrateprotein
10
8
18
4000
4.818
5298
120
35
NachaiyasitandS
tuckey,1997c
aContainscalculatedresults,eitherfromgraphsorfrom
supplieddata.
bAlsowithshockloadingof96kg/m3
d.cBOD5
value.
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High strength treatment. Whereas low retention
times are possible and even necessary for dilute
wastewaters, the opposite applies when treated con-
centrated waste. This is mainly due to the high gas
mixing caused by improved mass transfer between
the biomass and substrate. This will result in high
biomass wastage, and has led to modications in
the reactor design in order to enhance solids reten-
tion (see Section 2). A brief summary of the litera-
ture available on high strength treatment is shown
in Table 9.
When Boopathy and Tilche (1991) changed the
inuent to a 150 l hybrid reactor from 115 g
COD/l molasses alcohol stillage with a loading
rate of 12.25 kg/m3 d to raw alcohol molasses
(990 g COD/l, OLR = 28 kg COD/m3 d) they
noticed an increase in overall gas production of
over 65% within 3 weeks, a drop in COD
removal of 20%, a fall in the methane compo-
sition of the biogas by 20% for one week which
then recovered (implying initial overloading of
methanogens), and an approximate increase in
volatile suspended solids of 50% within 3 weeks.
Higher levels of gas production increased sludge
bed expansion, but the improved settling ability
of the biomass may have reduced the eects of
solids loss caused by the gas (Boopathy and
Tilche, 1991). This observation was partially con-
rmed in an earlier study (Boopathy et al., 1988)
where no increase in solids loss or decrease in
performance were noted when loading rates were
increased from 2.6 to 3.5 kg COD/m3 d. However,
minimal solids were lost to the euent at equally
low loading rates in the work by Boopathy and
Tilche (1991), but levels increased to 17 g VSS/l
at higher loading rates. (The reactor contained
approximately 1.25 g VSS/l of reactor in a 150 l
volume.) According to kinetic considerations, high
substrate concentrations will encourage both fast
growing bacteria, and organisms with high Ksvalues, and methane production will be derived
mainly from acetate decarboxylation by
Table 7. Potential methane yields from baed reactors
Wastewater OLR (kg/m3
d) Methane yield (m3
/kg VSS/d) Ref.
Swine manure 48 0.761.28 Boopathy and Sievers, 1991Swine manure 1.8 0.27 Yang and Moengangongo, 1987Carbohydrate/protein 4.8 0.11 Nachaiyasit and Stuckey, 1995Carbohydrate/protein 4.8 0.22 Grobicki, 1989Sea kelp 2.4 0.35 Chynoweth et al., 1980Molasses 20 1.25 Boopathy and Tilche, 1991Phenol 1.672.5 0.260.34 Holt et al., 1997Slaughterhouse 1.824.73 0.130.18 Polprasert et al., 1992
Fig. 2. Performance eciency against various loading rates.
William P. Barber and David C. Stuckey1566
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Methanosarcina sp. and hydrogen scavenging
methanogens (such as Methanobrevibacter and
Methanobacterium). Subsequently Methanosarcina
sp. was observed as the dominant bacterial species
in bioocs formed during high strength treatment
(Boopathy and Tilche, 1991). (See Section 5.2.)
Low temperature treatment. At low/ambient tem-
peratures van Lier et al. (1996), found signicant
advantages with respect to reactor performance for
staged reactors when compared with completely
mixed systems. From Table 6 it can be seen that
the vast majority of work done so far on the baed
reactor has been conducted in the mesophilic tem-
perature range. However, the baed reactor has
been run as low as 138C (Orozco, 1988), although
the most extensive study at low temperatures in the
baed reactor was carried out by Nachaiyasit andStuckey (1997a, Table 10).
Generally, biochemical reactions double in rela-
tive activity for every 108C increase in temperature
in accordance with the van `t Ho rule over a
restricted temperature range. In spite of this,
Nachaiyasit (1995), found no signicant reduction
in overall COD removal eciency when the tem-
perature of an ABR was dropped from 35 to 258C,
with steady state reached after only two weeks.
However, lower catabolic rates caused by elevated
Ks values (according to Arrhenius kinetics) at the
front of the reactor caused a shift in acid pro-
duction towards the rear, although overall removal
was unaected. An increase in VFA production
caused a simultaneous reduction in pH and an in-
itial increase in gas phase hydrogen that quickly
returned to below background levels. The deeper
penetration of the VFAs down the reactor should
potentially improve the growth yields of the metha-
nogens in the latter compartments. The results
showed that slower growing organisms exhibited a
greater sensitivity to a fall in temperature compared
to bacteria with faster growth kinetics, and this is
in accordance with literature ndings (Cayless et
al., 1989; Kotsyurbenko et al., 1993; Borja et al.,
1994; Speece, 1996). Similar high treatment ecien-
cies at ambient temperature have also been noted
for a medium strength phenolic wastewater (Holt et
al., 1997).
Nachaiyasit and Stuckey (1997a) further reduced
the temperature to 158C, and a fall in overall e-
ciency of 20% was noted after one month. Changes
in performance down the reactor occurred over a
long period of time in contrast to CSTRs. This is
advantageous since the slow response would inher-ently provide more protection to shocks than in
other reactor systems. However, despite the fact
that the reactors were kept for long periods of time
at reduced temperatures (12 weeks) their perform-
ance did not improve despite the increased inter-
mediate acid concentrations, which according to
Monod kinetics should encourage more biomass
growth to compensate for the increased substrate
levels. This may be due to the fact that Ks increases
substantially as temperature falls, (Lawrence and
McCarty, 1969) leaving low levels of VFAs that
cannot be degraded.
This study also found that the fraction of VFAs
in the euent in terms of COD had reduced signi-
cantly. VFAs contributed to approximately a third
of the COD at 158C, and two thirds at 258C, indi-
cating that the production of refractory material
(termed as Soluble Microbial Products (SMPs),
Table 8. Selected low strength performance data
Wastewater HRT (h) COD (mg/l) COD removal (%) OLR (kg/m3/d) Gas produced (v/v/d) Ref.
inuent euent
Greywater 84 438 109 75 0.13 0.025 Witthauer and Stuckey, 1982Greywater 48 492 143 71 0.25 0.05 Witthauer and Stuckey, 1982Greywater
a84 445 72 84 0.13 0.025 Witthauer and Stuckey, 1982
Sucroseb
6.8 473 74 74 1.67 0.49 Orozco, 1988Sucrose
b8 473 66 86 1.42 0.43 Orozco, 1988
Sucroseb
11 441 33 93 0.96 0.31 Orozco, 1988Slaughterhouse 26.4 730 80 89 0.67 0.72 Polprasert et al., 1992Slaughterhouse 7.2 550 110 80 1.82 0.33 Polprasert et al., 1992Slaughterhouse 2.5 510 130 75 4.73 0.43 Polprasert et al., 1992
aTemperature at 258C.
bTemperatures lower than 168C. All other work shown in table performed in a mesophilic temperature range
Table 9. Selected high strength treatment data
Wastewater Raw molasses Molasses alcohol stillage Swine waste Whisky distillery
Inuent COD (g/l) 990 115.8 58.5 51HRT (h) 850 138636 360 360Reactor volume (l) 150 150 15 6.3Temperature (8C) 37 37 35 30OLR (kg/m
3d) 28 4.320 4 2.23.46
COD removal (%) 50 7088 6269 >90Biogas production (v/v/d) >5 >2.3 2.93.2 1.23.6Ref. Boopathy and Tilche, 1991 Boopathy and Tilche, 1992 Boopathy and Sievers, 1991 Boopathy et al., 1988
The anaerobic baed reactor: a review 1567
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Rittmann et al. (1987)) increased substantially at
lower temperatures. In conclusion, the work found
that a combination of decreased catabolic rates,
increased Ks, and higher levels of refractory ma-
terial caused inferior performance at 158C, but that
a drop in temperature from 35 to 258C had negli-
gible eects on overall reactor performance despitepredictions from the van `t Ho rule. This has been
observed before in biolm/oc based reactors where
mass transfer limited biomass activity (Hickey et
al., 1987). However, Nachaiyasit's work did not
consider the eects of nutrient (especially iron)
bioavailability, which may be reduced at lower tem-
peratures (Speece, 1996), nor did it investigate the
signicance of temperature on ionisation equilibria
which inevitably controls the potential toxicity of
materials, some of which may be tolerated at higher
temperatures (Sawyer et al., 1994).
High solids treatment. In early work, Chyno-
weth's group in Illinois (1980, 1981) used baed
reactors to generate methane from sea kelp as an
alternative energy source. Although the COD of the
kelp was not quoted, the feed contained 15% total
solids, which were ground and chopped. Practical
problems associated with feeding solids were over-
come by applying the substrate by syringe. During
a particular run, signicant solids build-up was
observed in the rst compartment after 2 weeks of
operation. The solids build-up reduced micro-
organism contact with the substrate therefore mini-
mising hydrolysis and subsequent bioconversion.
Performance was signicantly improved after manu-
ally agitating the reactor for a short time period.
Solid material was also found to physically displacebiomass within the reactor indicating that modi-
cations to the ABR would be required for high
solids treatment.
In 1991, Boopathy and Sievers modied the
baed reactor (see Section 2) to treat high strength
swine waste (see Table 6) containing 51.7 g/l total
solids. When a loading rate of 4 kg COD/m3 d with
a retention time of 15 d was applied, removal rates
for COD (70 and 80%), and total solids (60 and
74%) were achieved for two- and three-compart-
ment reactors respectively. Solids retention times
were experimentally determined to be over 20 d in
both reactors. The study found that the majority ofthe protein fraction of the solids was retained
within the reactor, compared with a lower retention
of cellulose/hemicellulose, and a virtual loss of all
lipid material, although the authors oered no ex-
planation to the cause. Previous work in the same
laboratory had shown protein to be dicult to
degrade but a great potential source of methane,
hence its detention proved to be signicant in reac-
tor performance.Sulphate treatment. Fox and Venkatasubbiah
(1996), investigated the eects of sulphate reduction
in the ABR by treating a sulphate containing phar-
maceutical wastewater up to a nal strength of 20 g
COD/l with a COD:SO4 ratio of 8:1. At steady
state, 50% COD removal and 95% sulphate re-
duction was possible with a detention time of 1 day.
Reactor proles showed that sulphate was almost
completely reduced to sulphide within the rst
chamber, and a concomitant increase in sulphide
levels down the reactor indicated that sulphate
redirected electron equivalents to hydrogen sulphide
in preference to methane.
After altering the COD:SO4 ratio by adding glu-
cose, isopropanol and sulphate, the authors noted a
fall in potential sulphate reduction from >95% at
COD:SO4=150:1 to
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BIOMASS CHARACTERISTICS AND RETENTIONCAPABILITIES
Bacterial populations
With the unique construction of the ABR various
proles of microbial communities may develop
within each compartment. The microbial ecology
within each reactor chamber will depend on the
type and amount of substrate present, as well as
external parameters such as pH and temperature. In
the acidication zone of the ABR (front compart-
ment(s) of reactor) fast growing bacteria capable of
growth at high substrate levels and reduced pH will
dominate. A shift to slower growing scavenging
bacteria that grow better at higher pH will occur
towards the end of the reactor.
Various techniques have been applied to describe
the population dynamics within the ABR, and the
results are summarised in Table 11. By far the most
common observation involved the shift in popu-
lation of the two acetoclastic methanogens
Methanosarcina sp. and Methanosaeta sp. At high
acetate concentrations Methanosarcina outgrows
Methanosaeta due to faster growth kinetics (dou-
bling time 1.5 d compared with 4 d for
Methanosaeta), however, at low concentrations
Methanosaeta is dominant due to its scavengingcapability (Ks=30 mg/l compared with 400 mg/l for
Methanosarcina (Gujer and Zehnder, 1983)).
Tilche and Yang (1987) and Yang et al. (1988)
compared the performance and bacterial popu-
lations of an anaerobic lter and a Hybridised
Baed Reactor (HABR) at pilot scale treating mol-
asses wastewater with maximum loading rates of
10.5 and 5.5 kg COD/m3 d for the anaerobic lter
and HABR respectively. The major ndings of the
study were: a large concentration of Methanosarcina
at the front of the baed reactor which shifted to
Methanosaeta towards the rear, compared with a
domination of Methanosaeta in the lter reactor,
and, hydrogen scavenging Methanobacterium were
observed at the front of the baed reactor using
epiuorescence microscopy.Explanations were oered to describe the lack of
Methanosarcina in the lter reactor. Firstly, the
acetate loading in the rst chamber of the HABR
was 1000 mg/l which might be close to the apparent
Ks value for Methanosarcina (data not given) and
therefore may have favoured its growth. In con-
trast, acetate levels were 10 times lower in the lter
reactor and therefore Methanosaeta had a kinetic
advantage and dominated in the reactor. Secondly,
lower supercial gas production rates in the baed
reactor (5 m/d in the rst compartment of the
HABR compared with 9 m/d in the lter) resulted
in lower gas turbulence, and therefore fewer wash-outs of bioocs compared with the anaerobic lter.
Hydrogen levels were also measured, and the high-
Table 11. Bacterial observations in the ABR
No. Observations Technique Ref.
1 Methanosarcina predominant at frontof reactor with Methanosaeta foundtowards rear
SEM, TEM, LLM Boopathy and Tilche, 1991, 1992;Tilche and Yang, 1987; Garuti et al.,1992; Yang et al., 1988
2 act iv e met han og enic fr act io n wit hi nbiomass highest at front of reactor andlowest in last chamber
ATA Bachmann et al., 1985; Orozco, 1988
3 bacteria resembling Propionibacterium,Syntrophobacter andMethanobrevibacter found in closeproximity within granules
TEM Grobicki, 1989
Methanosaeta and colonies ofSyntrophomonas also observed
4 large numbers of Methanobacterium atfront of ABR along withMethanosarcina covered granules;subsequent chambers consisted ofMethanosaeta coated ocs
EP Tilche and Yang, 1987
5 vi rt uall y al l biomass act iv ity (>8 5%)occurred in the bottom third of eachcompartment where biomass wasconcentrated; highest activity (92%)found in bottom of rst chamber
ATPA Xing et al., 1991
6 mainly Methanosaeta observed withsome cocci; no Methanosarcinaobserved
SEM Polprasert et al., 1992
7 irregular granules with gas ventscovered by single rod shaped bacteria;no predominant species observed
SEM Holt et al., 1997
8 bacteria resemblingMethanobrevibacter, Methanococcus,and Desulfovibrio found
ATPA, SEM, EP B oopa thy and Til che, 1 99 2
9 wide va rie ty of bact eri a ob serv ed atfront of reactor
SEM, TEM Boopathy and Tilche, 1991; Barberand Stuckey, 1997
Abbreviations: ATA = anaerobic toxicity assay, ATPA = ATP analysis, EP = (phase contrast) epi uorescence microscopy,LLM = light level microscopy, SEM = scanning electron microscopy, TEM = transmission electron microscopy.
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est concentrations (4 104 atm) were noted in the
rst chamber of the baed reactor, and this may
explain the presence of Methanobacterium. The
results were subsequently supported by Polprasertet al. (1992) where acetate concentrations as low as
20 mg/l enabled the domination of Methanosaeta-
like bacteria throughout a four-compartment reac-
tor.
Biomass activity
Tilche and Yang (1987) and Yang et al. (1988)
also discovered that 70% of all methane produced
in the HABR came from the rst compartment,
despite having only 10% of the VSS present within
the reactor, and these ndings supported previous
work (Bachmann et al ., 1985; Orozco, 1988).
Bachmann used a procedure based on the
Anaerobic Toxicity Assay (ATA, Owen et al .
(1979)) and discovered that the active fraction of
acetate utilising methanogens as a percentage of the
total VSS varied from 5.7 to 1.8%, with the largest
values obtained at the front of the reactor and the
lowest at the rear. In a study involving an 11-com-
partment open top baed reactor treating 500 mg/l
sucrose at low temperature (13168C), Orozco
(1988) quoted activities of 1.43 g COD-CH4/m3 in
the rst seven chambers and 0.72 in chambers 7 to
11.
Xing et al . (1991), and Boopathy and Tilche
(1992) used ATP analysis to determine the relative
position of the most active bacteria. Samples weretaken from the top, middle and bottom of all three
chambers from a reactor with a working volume of
150 l treating molasses wastewater at a loading rate
of 20 kg COD/m3 d. The results showed that at
least 85% of the activity came from the bottom of
each compartment with the highest activity (92%)
measured at the base of the rst compartment.
However, the opposite trend was found in a study
treating slaughterhouse wastewater (Polprasert et
al., 1992). The reasons for this may lie in the con-
centration of intermediates, especially acetate, at
the front of the reactor. In studies where methane
activity was higher in the front compartments
(Bachmann et al., 1985; Tilche and Yang, 1987; and
Yang et al., 1988), acetate concentrations were rela-
tively high and therefore provided the best environ-
mental conditions for the growth of Methanosarcina
which can grow quickly and eciently even at pH
values as low as 6 (Speece, 1996). Another source
of methane would be from hydrogen scavenging
bacteria such as Methanobacterium (Tilche and
Yang, 1987) and Methanobrevibacter, which would
be stimulated by the higher hydrogen concen-
trations; the net eect would be a high methano-
genic activity. In contrast, with dilute wastewaters,
where acetate levels are low in the front compart-
ment (as in the work by Polprasertet al), the likelyscenario is that Methanosaeta would dominate.
However, this species grows at a far slower rate
compared to Methanosarcina and is also far more
sensitive to environmental conditions such as a
reduced pH. This would encourage the growth of
acid producing bacteria that would inevitably leadto a reduction in methane potential.
Hassouna and Stuckey (1998) showed a shift in
the activity of acid producing bacteria down the
length of an eight-compartment baed reactor.
Using the method of Owen et al. (1979), aliquots
were removed from each compartment of ABRs
treating a range of substrate concentrations. In the
foremost compartments a glucose spike was readily
converted to volatile acids within a few hours and
this contrasted with the results from subsequent
compartments which showed virtually no degra-
dation of the spike.
Granulation (and oc sizes)
Although granulation is not necessary in the
ABR for optimum performance, unlike suspended
systems such as the UASB, various reports have
noted the appearance of granules in the reactor.
Boopathy and Tilche (1991) started up HABRs (the
inoculum contained 4.01 g VSS/l) with a low initial
loading rate (0.97 kg COD/kg VSS d) and liquid
upow velocities below 0.46 m/h, in order to encou-
rage the growth of occulent and granular biomass.
Subsequently, stable granules of 0.5 mm appeared
after one month in all chambers of the reactor and
they were reported to be growing although no data
was given; microscope studies subsequently showedthat the granules were comprised primarily of acet-
oclastic methanogens. Similarly, Tilche and Yang
(1987) found Methanosarcina coated ocs held
together by brous bacteria resembling
Methanosaeta. The ocs, which were formed after
one month, were small with diameters less than
1.5 mm and were weak. Under the same loading
conditions the authors also found densely packed
granules typical of a UASB (d< 3 mm) formed
after 3 months in an anaerobic lter.
Boopathy and Tilche (1992) noticed similar par-
ticles of both types described above, which grew
from 0.5 mm after one month to 3.5 mm after three
months in a hybrid reactor. Granules, which weremade from Methanosarcina clusters, were of low
density and full of gas cavities and therefore lifted
to the surface of the reactor due to high gas and
liquid velocities during high loading. The particle
size appeared to be partially dependent on substrate
type. There was little dierence in particle size
throughout the reactor when molasses alcohol stil-
lage wastewater was treated. However, two weeks
after the substrate was altered to raw molasses with
a ten-fold increase in inlet COD a prole emerged
which showed a steady decrease in particle size
down the reactor. In addition, the sludge weight
increased from
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granule size from 5.4 mm in the rst chamber down
to 1.5 mm in the last chamber of a reactor treating
dilute carbohydrate waste. However, on a labora-
tory scale, (Barber and Stuckey, 1997) oc sizeseemed to grow to a maximum near the centre of
an eight-compartment reactor and then reduce
towards the rear. Typical oc sizes were 100, 230
and 175 mm in the front, middle and rear compart-
ments respectively. These authors postulated that
the oc size was a function of both gas production
and COD concentration, with the largest particles
growing when COD concentrations were suciently
high to support growth, and gas production low
enough to avoid oc breakage.
Solids retention capability
By using a chromic oxide sesqui tracer in a highsolids swine wastewater (51 g/l), Boopathy and
Sievers (1991) managed to measure the solids reten-
tion time for two hybrid reactors running at a
hydraulic retention time of 15 d. A three-compart-
ment reactor resulted in a solids retention time of
25 d compared with 22 d for a two-compartment
unit. The two-compartment reactor had a larger in-
itial chamber, and this provided a natural ltering
action that enabled it to lose fewer solids to the
euent. Despite this, the three-compartment reactor
was found to be more ecient at converting the
trapped material into methane on the basis of cellu-
lose, lipid and protein measurements.
In a comparative study, Orozco (1988) calculated
the minimum solids retention time required to
achieve certain removal eciencies in baed and
UASB reactors under the same loading conditions,
and concluded that the solid residence time in the
UASB would have to be approximately 40% higher
than the ABR in order to achieve the same removal
rate. By assuming a series of perfectly mixed reac-
tors, Grobicki and Stuckey (1991), calculated the
solids retention times, biomass yield, and washout
of biomass under several experimental conditions.
Solids retention times varied from 7 to over 700 d
(5 < 80 h) and large deviations in the results were
attributed to varying degrees of granulation.Although a strong correlation was found to exist
between the solids retention time and HRT, the
authors suggested that caution should be exercised
when using the calculated gures due to the
assumptions of perfectly mixed behaviour. Solids
retention times of 300 d were reported by Garuti etal. (1992) using a 350 l reactor with a 15 h retention
time and this gure is far higher than those calcu-
lated by Grobicki and Stuckey (1991) under similar
conditions. These authors also calculated from the-
ory and a mass balance, that the observed yields
were very low (approximately 0.03 kg VSS/kg
COD), which implies constant biomass concen-
tration proles over time, but these ndings are in
contrast to other researchers (Boopathy and Tilche,
1991; Xing et al, 1991).
Boopathy et al. (1988) discovered that increasing
the loading rate from 2.2 to 3.5 kg COD/m3 d made
no signicant dierence to the amount of solids lost
to the euent, with a maximum of 0.5 g/l occurring
during start-up. These results were further sup-
ported in a hybrid reactor (Boopathy and Tilche,
1991) where virtually negligible euent VSS was
found with loading rates between 6 and 12.5 kg
COD/m3 d. However, a linear increase up to 17 g
VSS/l at high loading rates (28 kg COD/m3 d) was
observed. A similar correlation was also found to
exist between the Sludge Volume Index (SVI) and
the total solids lost from a pilot scale reactor
(Garuti et al., 1992). Finally, in a recent study,
Barber and Stuckey (1997) found that twice as
many solids were lost during start-up by a reactor
running at a low HRT of 20 h compared with onewhich was run on the same feed at long retention
times (80 4 40 4 20 h), and this was linked to in-
ferior COD removal since biomass accumulated fas-
ter in the reactor run at longer retention times.
MODELLING
Bachmann et al. (1983) found similar treatment
behaviour under identical conditions in an ABR,
anaerobic lter and a rotating biological disc reac-
tor. In order to predict reactor performance, an
attempt was made to develop a unied model for
the xed lm reactors and also for the ABR. Theauthors considered the sludge particles found within
the sludge bed of the ABR to be uidised spheres
Table 12. Model equations for ABR systems
No. Substrate model equations Ref.
1 dS/dt = aCSq
+QS0QS, S= S0(a/Q)CSq
Bachmann et al., 19832 Df(d
2Sf/dz2) = ( kSfXf)/(Ks+Sf) Bachmann et al., 1985
3a Sn=S0/[(1 + k1W1/Q)(1 + k2W2/Q) F F F(1 + knWn/Q)] Xing et al., 19913b Sn=[S0(1 + R)
n 1]/[(1 + R + k1W1/Q)(1 + R + k2W2/Q) F F F(1 + R + knWn/Q) (1 + R)n 1R] Xing et al., 1991
4 Df[(d2Sf/dr
2) + (2/r)(dSf/dr)] = (kXfSf)/(Ks+Sf) Nachaiyasit, 1995
Nomenclature: a = surface area per unit reactor volume (L1), C= variable-order reaction coecient, Df=molecular diusivity in bio-lm (L
2t1), k = maximum specic rate of substrate utilisation (MsMxt1
), Ks=half-velocity constant (ML3
), Q = specic ow rate(T
1), q = variable-order reaction order, r = radius of a three-dimensional spherical particle (L), R = recycle ratio, S= substrate concen-
tration (ML3), S0=inuent concentration (ML3), Sf=substrate concentration in biolm (ML
3), Sn=euent substrate concentration(ML
3), W= mass of sludge = volume/[Xf] (M), Xf=bacterial density (ML
3), z = distance normal to biolm surface (L). Numericalsubscripts refer to compartment number.
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with a surface area through which the solute must
diuse for bacterial consumption. Therefore, they
used a combination of a xed lm model
(Williamson and McCarty, 1976) along with a vari-able order model (Rittmann and McCarty, 1978)
which incorporated the concepts of liquid-layer
mass transfer, Monod kinetics, and molecular diu-
sion to accurately describe the process (Table 12).
Two dierent approaches were employed; the rst
was based on the concept of a rate limiting sub-
strate (assumed to be acetate and propionate) dif-
fusing into a ``deep'' xed bacterial lm.
Application of the model was made possible by esti-
mating the specic surface area in each of the reac-
tor chambers from a data set, and then applying
the results to simulate behaviour at dierent load-
ings. Although initial predictions were good, the
model underestimated the level of COD removal at
higher loading rates. The reasons for the discrepan-
cies were given to be an unrealistic assumption of a
constant diusion layer depth which would decrease
at higher loading rates due to increased gas pro-
duction, thereby improving substrate/biomass con-
tact and ultimately reactor performance.
The second evaluation was made by assuming a
series of completely mixed dispersed growth reac-
tors using Monod kinetics. Here values of the active
micro-organism concentration were determined
within each compartment for one loading, and the
data applied to the same loading rates as with the
``xed lm'' model. The results of the second modeltermed ``the dispersed growth model'', did not give
a realistic interpretation of the data since diusional
limitations were not considered.
Further work using the xed lm model was car-
ried out by Bachmann et all. (1985) on baed reac-
tors with an inuent substrate concentration of 8 g
COD/l. The model predicted the following beha-
viour: a decrease in treatment eciency with (a)
decreasing inuent substrate concentration at con-
stant loading rates, (b) an increase in organic load-
ing at constant inuent substrate concentration, and
(c) an increase in recycle ratio at constant HRT
since the reactor approaches completely mixed
behaviour. Reactor eciency improved with redu-cing substrate concentration at constant HRT.
Some of these ndings were mirrored in the work
of Xing and Tilche (1992) on the modelling of a
hybridised form of the baed reactor which had a
working volume of 150 l, and treated 20 kg COD/
m3 d of molasses wastewater. The model focused on
the ndings of ATP testing which concluded that
virtually all of the active biomass was held within
the base of each compartment, so the biomass
weight and not concentration was used in the
model. The main assumptions of the model were:
all substrate consumption occurred within a granu-
lar sludge bed, and, the sludge bed was perfectlymixed due to gas evolution. The following predic-
tions were made from the model: at constant or-
ganic loading the treatment eciency increased with
increasing inuent substrate concentration; as HRT
was reduced the performance of the reactor
decreased; performance deteriorated with increasingloading (1116 kg COD/m3 d) with a constant
sludge weight; an improvement in COD removal
eciency was observed with increasing sludge
weight until a certain concentration was reached,
above which reactor performance becomes indepen-
dent of biomass concentration; and nally an
increase in recycle ratio coincided with a subsequent
decrease in COD removal.
Bachmann et al. (1983, 1985) assumed that the
oc diameter was very large relative to the active
biolm depth. However, this seems to be an unwar-
ranted assumption since in anaerobic biolms the
electron donor and acceptor are often the same or-
ganic, and since the three main microbial groups
are symbiotic, oc particles may have active cores
even with 3 mm diameters. In addition, many lm
supports are not perfectly at, but can be con-
sidered suciently at if the biologically active
thickness of the biolm is less than about 1% of
the radius of curvature (i.e. the radius of a sphere
plus a diusion layer, Rittmann and McCarty
(1978)). At high loading rates this is not the case in
the ABR, since sludge particles within the reactor
act as uidised spheres with a surface area through
which the substrate must diuse for consumption
(Bachmann et al., 1985). These facts imply that a
spherical model would provide a better t than asimple planar one.
Nachaiyasit (1995) derived a spherical model
using Monod kinetics combined with molecular dif-
fusion of the substrate into the biomass aggregates
based on the assumptions that: (i) substrate concen-
tration could be described by a single parameter,
COD, (ii) biomass concentration can be adequately
described by a single parameter, VSS, (iii) the bio-
mass composition is constant during balanced
growth and (iv) the biological reactions of import-
ance occur at constant temperature and pH. The
calculation of important model parameters such as
diusion layer thickness, and liquid phase mass
transfer coecient followed the techniques pro-posed by Bachmann et al. (1985). In general, the
model predicted better COD removal than was ex-
perimentally measured, and was most accurate for
high loading rates (8 and 15 g COD/l at 20 h) than
at short retention times (10, 5 h HRT with feed
concentration of 4 g COD/l), but showed large devi-
ations for the rst couple of compartments for
some of the simulations. As with previous models
certain trends appeared with the results, namely a
decrease in removal eciency with increasing re-
cycle ratios, decreasing HRTs (with xed substrate
concentration), and increasing substrate concen-
trations (with xed HRT). However, the sphericalmodel did provide a closer t than the earlier pla-
nar xed lm equations. Based on the ndings of a
William P. Barber and David C. Stuckey1572
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sensitivity analysis that showed oc surface area
and owrate had the greatest inuence on model
predictions, the model was modied by making the
surface area a tting parameter. Nachaiyasit thencompared the results obtained from dierent models
based on the same assumptions and with the same
experimental data, and found the closest t with the
spherical model. It was concluded that while the
predictive capacity of the spherical model was not
always good, it was useful as a tool for understand-
ing the interaction between the various system par-
ameters, and therefore could be used as a basis for
the development of better predictive models.
It seems that a combination of theoretical con-
siderations and experimental ndings can be used
together in order to generate models with a more
realistic t. Since the accuracy of any model
depends critically on the wastewater and substrate
used, kinetic data should be experimentally deter-
mined for each compartment once the reactor is at
steady state (Bachmann et al., 1985) by using simple
bioassays. Such an approach may have enabled
Nachaiyasit's spherical model to give a more realis-
tic t at the front of the reactor. All modelling so
far has used acetoclastic methane production as the
rate-limiting step. However, it is evident from
Section 5, that the structure of the reactor will
cause a shift in the population dynamics of the two
species (Methanosarcina and Methanosaeta) respon-
sible for acetate consumption. Since both archea
dier widely in kinetic ability, acetate loadings andpH will have an eect on reactor performance in
each compartment. For reactors treating medium to
high strength wastes acetate consumption at the
front of the reactor will be higher than for a low
strength waste. This will result in most of the COD
being removed in the front of the reactor. For low
strength wastes, acetate loadings will be low and
this will encourage growth of Methanosaeta with lit-
tle COD removed in the acidication zone.
Channelling has been shown to be an important
phenomenon in the ABR (see Section 3) and will
aect the accuracy of any model. In order to take
channelling into account it is necessary to calculate
the number N of ideally mixed reactors in seriesusing tracer studies (see Section 3.1). The results of
these experiments could then be input as the num-
ber of real compartments into a reactor in series
model. Also, correlations are available which show
the eect of hydrodynamic dispersion on the sub-
strate diusion coecient (Bear, 1972).
Furthermore, by calculating the minimum solids
retention time (Orozco, 1988), it should be possible
to determine the correct compartment size for a
given treatment eciency. On the basis of the litera-
ture it seems that for most cases only 24 compart-
ments are necessary for adequate COD removal.
However, reactors with more compartments will befar more resistant to hydraulic and organic shocks,
since they will protect against the shift in acid pro-
duction towards the rear. Therefore a compromise
will exist between optimal (required) compartment
number, ``safe'' compartment number, and also
upow liquid velocity.Despite the less than perfect predictive capabili-
ties of the models described above, there is an
urgent need to generate models for larger scale reac-
tors. Boopathy and Tilche (1991) pointed out that
at larger scale a greater evolution of gas per com-
partment cross sectional area can be expected, and
this would cause an increase in mixing which would
subsequently improve mass transfer rates leading to
greater eciencies, but perhaps increased solids
loss.
Finally, it is also necessary to model reactor
behaviour when hydrolysis is the rate-limiting step,
as is the case with high solid inuents and lipid con-
taining wastewaters, since by assuming rst-order
rate kinetics it is possible to calculate the minimum
solids retention time to achieve a given eciency
(Pavlostathis and Giraldo-Gomez, 1991). With
wastewaters containing a large amount of particu-
late material, it seems likely that COD removal will
be low at the front end, and that the VFA prole
formed will be shifted down the reactor, unless the
reactor is modied, (Boopathy and Sievers, 1991) or
extra compartments added, a drop of eciency may
result.
FULL-SCALE EXPERIENCE
The performance data of a full-scale plant, treat-
ing domestic waste from a small town in Columbia
(Tenjo, population
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reactors experienced several practical problems
during early operation. Hydraulic shocks increased
solids washout, and poor screening of solid material
caused the plastic packing media to oat with gas
production. These problems were overcome by
using a by-pass pipe during the rainy season and
improved screening facilities. The reactors per-
formed well with approximately 70% COD re-
duction and 80% removal of suspended solids over
a two-month period. Varying the volumetric load
between 0.4 and 2 kg/m3 d had no eect on removal
eciency. However, the author concluded that a
polishing lagoon was necessary to achieve discharge
quality euent. Work is currently being undertakento provide a wastewater treatment plant for a larger
town.
Although a detailed economic study was not pre-
sented, construction costs for the baed reactor
were 20% less than those for UASB reactors in
Columbia running at ambient temperature, and ve
times less than a conventional activated sludge
plant for a small town.
FUTURE PROSPECTS FOR THE ABR
The ABR shows promise for industrial waste-
water treatment since it can withstand severehydraulic and organic shock loads, intermittent
feeding, temperature changes, and tolerate certain
toxic materials due to its inherent two-phase beha-
viour. Despite comparable performance with other
well established technologies (Table 14), its future
use will depend on exploiting its structure in order
to treat wastewaters which cannot be readily trea-
ted. Outlined below is a list of possible processes
that are feasible in the ABR.
In situ aerobic polishing
Unpublished work in this laboratory has shown
that an aerobic polishing step can be inserted within
an ABR with no detrimental eect on reactor per-
formance. This is due to the fact that ``aerophobic''
methanogens can remain active even when oxygen
is present, and whilst inside immobilised aggregates
methanogenic archea are well shielded from oxygen
by layers of facultative bacteria (Lettinga et al.,
1997). Also, processes which inherently require both
anaerobic and aerobic treatment (or detoxication)
can be dealt with within a single reactor unit, such
as black hemp liquors, wood extractives, coal pro-
cessing industry, petrochemical, and textile dye
wastewaters (Lettinga, 1995) thus signicantly redu-
cing capital costs.
Total nitrogen removal. Work is currently being
undertaken to treat ammonia containing waste-
waters with an anaerobic/aerobic baed reactor fortotal nitrogen removal. Ammonia present in the
wastewater passes through the anaerobic compart-
Table 14. Treatment eciencies for various reactor congurations
Feedstock Reactortype
Reactorvolume (l)
Inlet COD(g/l)
Loadingrate (kg/m3 d)
CODremoval (%)
Ref.
Carbohydrate ABR 6.3 7.1 1 79 Bachmann et al., 1983ABR 6 110 220 7299 Bae et al., 1997ABR 75 0.440.47 0.961.66 8493 Orozco, 1988
UASB 4.8 110 220
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ments largely unmetabolised, and is then oxidised
to form nitrates and nitrites at the rear of the reac-
tor. These can then be recycled to the anaerobic
section where they act as alternative electron accep-
tors and are reduced to nitrogen.
Complete sulphur removal. Sulphate is reduced at
higher redox potentials than that at which methano-
genesis begins (Henze and Harremoes, 1983), and
will therefore be converted to hydrogen sulphide at
the front of a baed reactor at the expense of
methanogenesis (Fox and Venkatasubbiah, 1996).
Micro-aerobic polishing could be achieved within
an aerobic stage to produce elemental sulphur,
which could be recovered eliminating the need of a
separate trickling lter unit.
Enhancement of two-phase properties (better pH and
temperature control)
The optimum pH for a two-phase system has
been widely quoted to be approximately 5 (Ghosh
et al., 1975; Aivasidis et al., 1988; Speece, 1996).
This implies that less buering would be required in
a baed reactor since the pH is routinely above 6
in the rst compartment. Alternatively, buering
and/or nutrients could be added separately in latter
compartments to provide optimal conditions forscavenging methanogens.
CONCLUSIONS AND RECOMMENDATIONS
Laboratory, pilot and full-scale work has shown
that the ABR is capable of treating a variety of
wastewaters of varying strength (0.45 < 1000 g/l),
over a large range of loading rates (0.4 < 28 kg/
m3 d), and with high solids concentrations with sat-
isfactory results (Table 6). Long biomass retention
times are possible without granulation and solids/
liquid separation devices, and a selective pressure
exists which enhances the development of appropri-ate bacterial populations in various parts of the
reactor. This reactor conguration confers consider-
able resistance to toxic materials, shields syntrophic
bacteria from elevated hydrogen levels, and results
in high removal eciencies even at low hydraulic
retention times (26 h). The physical structure of
the reactor allows various modications to be
made, such as an in situ aerobic polishing stage,
resulting in providing the capability to treat waste-
waters that currently require at least two separate
units, therefore substantially reducing capital costs.
However, in order to enhance the commercial po-
tential of the ABR, more work still remains to be
done in the following areas: modelling the fate of
SMPs, solids, intermediate products, and COD
removal; nutrient requirements; treatment of toxic
wastewaters (e.g. polychlorinated aliphatics, nitrated
organics, xenobiotics, haloaromatics, surfactants)
which have been treated with success anaerobically;
and an improved understanding of the factors con-
trolling bacterial ecology. Finally, Table 15 shows a
list of recommendations based on this review of the
literature.
AcknowledgementThe authors would like to thankProfessor Chynoweth for his generous help with providing
material for this review and the BBSRC for nancial sup-port.
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