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ISSN 0104-6632 Printed in Brazil

www.abeq.org.br/bjche

Vol. 33, No. 04, pp. 773 - 781, October - December, 2016 dx.doi.org/10.1590/0104-6632.20160334s20150016

*To whom correspondence should be addressed

Brazilian Journal

of Chemical

Engineering

SIMULATION OF MICROALGAL GROWTH IN A

CONTINUOUS PHOTOBIOREACTOR WITH

SEDIMENTATION AND PARTIAL BIOMASS

RECYCLING

C. E. de Farias Silva

*

, B. Gris and A. Bertucco

Department of Industrial Engineering, University of Padova, via Marzolo 9, 35131, Padova, Italy. E-mail: [email protected]

(Submitted: January 12, 2015 ; Revised: June 7, 2015 ; Accepted: June 24, 2015)

Abstract - Microalgae are considered as promising feedstocks for the third generation of biofuels. They are autotrophic organisms with high growth rate and can stock an enormous quantity of lipids (about 20 – 40% of their dried cellular weight). This work was aimed at studying the cultivation of Scenedesmus obliquus in a two-stage system composed of a photobioreactor and a settler to concentrate and partially recycle the biomass as a way to enhance the microalgae cellular productivity. It was attempted to specify by simulation and experimental data a relationship between the recycling rate, kinetic parameters of microalgal growth and photobioreactor operating conditions. Scenedesmus obliquus cells were cultivated in a lab-scale flat-plate reactor, homogenized by aeration, and running in continuous flow with a residence time of 1.66 day. Experimental data for the microalgal growth were used in a semi-empirical simulation model. The best results were obtained for Fw=0.2FI, when R = 1 and kd = 0 and 0.05 day-1, with the biomass production in the

reactor varying between 8 g L -1 and 14 g L-1, respectively. The mathematical model fitted to the microalgal growth experimental data was appropriate for predicting the efficiency of the reactor in producing Scenedesmus obliquus cells, establishing a relation between cellular productivity and the minimum recycling rate that must be used in the system.

Keywords: Continuous photobioreactor; Scenedesmus obliquus; Recovering; Sedimentation; Recycling rate; Downstream.

INTRODUCTION

Microalgae have gained much attention for bio-fuel production due to their high capability of storing value-added energy compounds. The chemical com-position of such compounds encompasses starches and highly saturated fatty acids convertible to neutral lipids, which play an important role in production of bioethanol and biodiesel. This feature, along with high growth rates and ease of cultivation, make mi-croalgae very promising when compared to higher plants (Rawat et al., 2013; Khan; Bahadar, 2013; Silva and Bertucco, 2016).

Scenedesmus obliquus is a microalga that has been widely studied because of its high cellular productivity and accumulation of value-added en-ergy compounds. Several works relying on its culti-vation have investigated a variety of aspects, includ-ing types of culture medium and substrate, which have been tested in bench or continuous systems, also employing different intensities of light. How-ever, studies on the efficiency of biomass recycling coupled to the photobioreactor either through simula-tion or experimental data are still required (Vigeolas

(2)

K o th fr w co u u (M ti u co o co it p th co sh ce th b m p m g w w d p co E 1 ce al in o m p ex at th g d S

Kim et al., 20 f the cellula he steps subs rom the upst way that the

onsolidated. Sedimenta ltra-filtration sed unit ope Mata et al., 2 icularly has m nit operation ontrolled pro f separating ost, mainly w t is a time-co robability of he process (R

Partial ma osts associat horten the p ellular conc he recycling r

y considerin microalgal cu roduction sy

In this wor model micro

rowth in a tw with partial b was to develo

icting the re arameters of onditions of

MA

Experimenta

S. obliquu

1 medium (R entration and lgae cultures ng agar (10 g

f S. obliquu

mately 100 hase. The s xcess condit t 8 with 10 he culture m

rowth was m ensity meas pectro, Spect

014). In orde ar production sequent to th tream to dow whole proc ation, centrif n, floculation erations for 2010). Grav many advant ns, for instan ocess, margi g supernatant when pumpi onsuming op f biomass det Rawat et al., ass recycling

ted with the production tim

entration in rate must be ng operating ulture, integ ystems.

rk, Scenedes

organism fo wo-stage pho biomass recy op a mathema ecycling rat f the microa

the bioreacto

ATERIALS A

al Part

us cultivation Rippka et al

d unlimitated were sustain g L-1) to the B

us were culti E m-2 s-1 an simplified pl tions (5% in mM HEPES medium fro monitored eac

surements at tronic Unicam

er to study th n process, a he reactor is wnstream sec

cess can be

fugation, con n and flotatio cellular bio itational sed tages in comp nce, low cost

in for scalin t with minim ng is involv peration that terioration o

2013). g could be e inoculum p

me, as well the reactor carefully tak g kinetic par rating both smus obliquu or investigat otobioreacto ycling. The atical model te as a func algal growth or.

AND METH

n was perform

l., 1979) wit d nutrients (Fi ned in solid m BG-11 mediu ivated in fla nd held in t lant was fed

air), while m S buffer in o

m acidifyin ch 24 h by m t = 750 n

m), cell coun

he sustainabi full analysis necessary, i ctions, in suc optimized a

nventional- a on are the m omass recov imentation p parison to ot for achievin ng-up, and e mum operat ed. Converse t gives rise t

ccurring dur

used to redu preparation a as obtain h r. Neverthele ken into acco

rameters of separation a

us was used a ting microal r-settler syst main object capable of p ction of kine h and operat

HODS

med using B th doubled c

igure 1). Mic medium by a um. Pre-inoc asks at appro the exponen d with CO2

maintaining order to prev ng. S. obliqu

means of opti nm (UV-visi nting in a Bur

lity s of i.e., ch a and and most very par-ther ng a ease ting ely, to a ring uce and high ess, ount the and as a lgal tem tive pre-etic ting BG- con- cro- add-cula oxi-ntial

2 in

pH vent uus ical ible rker cou we act Th So eff con HD bet use is are Fig ob Fi Ta bio unting cham eight determi The inoculu tor tank had he reactor wa ource SL 350 fective light ntinuous and D2102.1 radi

tween the re ed in the exp depicted in F e summarize

gure 1: Opti

bliquus (magn

igure 2: Sche

able 1: Vari oreactor.

Variables

θ (day) - Resid I (µE m-2 s-1)

-I

F (m3 day-1) – Culture Medium

Fg (m3 day-1)

2 CO

g

C (%) – Co CO2-air) T - Reactor Tem

mber (HGB® inations (Sfo um cellular c an optical de as illuminate 00, Photon Sy

t intensity d bench ope iometer posi eactor and la periments ha Figure 2. Th d in Table 1.

ical microsco nification of

ematic of the

ables of ma

dence Time Rea Lighting – Volumetric fl m

– Gas volume f oncentration of

mperature (°C)

®, Germany orza et al., 20 concentration

ensity of 0.5 ed with a LE System Instru

was measu erations with itioned at sam

amp. The ph ad a flat-plate he experimen

.

opic image o f 100x).

e flat-plate ph

aintenance

actor

low rate of

flow f CO2 (Mixed-

)

y), and drie 012). n within the r

at = 750 nm D lamp (Lig uments) who ured for bo h a DeltaOh me distance hotobioreact e layout whic ntal paramete

f Scenedesm

hotobioreacto

of the phot

(3)

to-st C si fo su g d tr le u S m S p st (S F v th an w to (C m Δ w tw ta is n eq S The nitrate trate) was d Carlo Erba R

ists of an ini orms a diazo ubsequent re entisic acid iazo dye. Th rophotometri ength of = sing differen

Simulation M

A photobio mass recyclin

S. obliquus cu icted in Fig tate were s Sundstrom an

Figure 3: Sch ation proces

It was ass here were no

nd that biom was approxim or was mode CSTR) by S mass balance

ΔC r

θ =

where ΔC is ween the ent ank (ΔC = C

s the rate of enti.

The net bi qual to the g

imulation of Mic

Brazilian

e concentrat determined Reagenti. The

tial reduction o after react eaction betw (2,5-dihydr he absorbanc ically measu 445 nm. The nt NaNO3 sol Model

oreactor cou ng was consi ultivation in gure 3. Oper simulated ac nd Klei, 1979

hematic of c s.

sumed that o product and mass exiting f mately zero. T

eled as a con Sforza et al

takes the ge

the differenc trance (Cin) a

CoutCin), θ f production

iomass produ growth rate

croalgal Growth in

Journal of Chem

ion (used as using a Kit e colorimetri

n of nitrate t ing with sul ween the diaz roxybenzoic ce of the sam ured at the

e analytical c lutions.

upled to a set idered for th a continuous rating condit

ccording to 9) with some

ontinuous S.

I I

Cx =Cp =

d biomass as from the sed The flat-plate ntinuous stirr

. (2013). Fo neral form:

ce in concen and exit (Cou

is the reside or consump

uction rate is (rx), given b

n a Continuous P

mical Engineering

s reference su t Idrimetre ic reaction c to nitrite, wh lfuric acid. T zonium salt a acid) forms mples was sp

selected wa curve was ma

tler with par he simulation s system, as tions at stea the literat e modification

obliquus cu

0

S

Cx

= = , i

process inpu dimentator’s

e photobiore red tank reac or a CSTR

ntration (C)

t) of the reac

nce time, an tion of comp

s assumed to by the Mono

Photobioreactor w

g Vol. 33, No. 04,

ub-St. on-hich The and s a pec- ave-ade rtial n of de- ady-ture ns. ulti-i.e., uts, top eac-ctor the (1) be-ctor nd r

mpo-o be od’s equ lin (B rel tio , x r x r , x r wh str rat wh sub yie (Y x Y gro giv s r tw rat R (θ rea fro Th ran tim me in c θ with Sedimentatio

, pp. 773 - 781,

uation, minu nearly propo orzani, 200 lationships b ons (2), (3) an

,t =rxrx d,

x s

M s

k C C

K C

⋅ ⋅

+ =

,d =kd Cx

here KM is th

rate S (g L-1 te (day-1), kd

hereas Cs an

bstrate and eld coefficien

/ ) x s

Y is define

/ x x s s C C Δ = = −Δ A relationsh owth rate an ven by Equat

/ 1 x s k Y K =− ⋅⎛⎜ ⎝ The recyclin ween the recy

te (FI), whic

R

I

F F

=

The solid r )

c

θ is a relatio actor tank an om the system he SRT is co

nts high proc me for the

etabolize the the reactor. U r x R w x V C F C ⋅ = ⋅

n and Partial Bio

October - Decem

us the cellula ortional to t 1). Hence, i etween the v nd (4):

he Monod sa ), k is the m is the specif nd Cx repres

biomass, re nt for substr ed by Equatio

,

, ,

(

x out

s in s o

C

C C

=

hip can be fo nd the subst

tion (6): . x. s

M s

k C C

K C

⎞ ⎟

+

ng rate ( )R

cling flow ra ch is given b

retention tim on between t nd the biomas

m (Equation onsidered to cess efficien process so most part of

omass Recycling

mber, 2016

ar death rate the cellular

it is possibl variables and

aturation con maximum sp fic rate of cel sent the con espectively. rate-to-bioma on (5): ) out ound betwee trate consum

is defined as ate

( )

FR and by Equation (

me (SRT) or the biomass

ss quantity th (8)) (Von Sp be adequate ncy, i.e., ther that microo f the raw-ma

7

(rx,d), which

concentratio le to establi d obtain Equ

(2

(3

(4

nstant for su pecific grow ll death (day -ncentrations

The appare ass conversio

(5

en the bioma mption rate,

(6

s a relation b d the inlet flo

(7):

(7

(4)

where Vr is the effective volume of the reactor.

The concept of wash-out time, θcwo, is very im-portant in the analysis of continuous bioprocesses.

wo c

θ is defined as the minimum residence time that allows biomass maintenance in the system. This means that θcwo is an operating limit, below which the biomass cannot be maintained in the system be-cause the wash-out rate is higher than the growth rate. From the fact that 1 x

d

c x

r k C

θ = − (biomass balance

over the system), the wash-out time θcwo can be de-termined when θc is minimun and µ x

x

r C

= is

maxi-mum for Cs =CsI. Thus:

(

)

(

)

(

)

+ =

− ⋅ −

I

M s

wo

c I

d S M d

K C

k k C K k

θ (9)

The minimum recycling rate (Rmin) can be deter-mined by combining Equations (7), (8) and (9):

(

)

(

)

⋅ =

⋅ − ⋅

wo

w c

min wo

c w I

F R

F F

θ θ

θ θ (10)

Considering that the residence time in the reactor tank ( )θ , or hydraulic retention time (HRT) is given by Equation (11):

r

I

V F

θ = (11)

A relationship between θ and θc can be found and written as Equation (12):

. 1 1

I c

w

R F

R F

θ

θ = ⋅ +⎛

+ (12)

From an analysis of mass balance over the system and over the settler, the substrate concentration at the exit of the reactor and the biomass concentration at the exit and recycling line of the reactor are calcu-lated by Equations (13), (14) and (15):

(

)

(

(1 1)

)

U M d c

s

d c

g K k

C

L k k

θ θ

⋅ +

⎛ ⎞=

− ⋅

⎜ ⎟

− (13)

/ ( )

(1 )

I U

U x s s s c

x

d c

g Y C C

C

L k

θ

θ θ

⎛ ⎞ ⎜ ⎟

+ ⋅ ⋅

⋅ −

= (14)

1 Ux

c R

x

R C

g C

L R

θ θ ⎛ + −

⎜ ⎟

⎛ ⎞ ⎜ ⎟

⎝ ⎠=⎝ ⎠ (15)

The simulation was performed using the proposed mathematical model, introducing experimental data of specific growth for S. obliquus. The cultivation experiments of this microalga in the flat-plate reactor allowed one to calculate the C CsI, , Us CUx and k coef-ficients. The value of 1.66 day for θ was used in the steady-state. The other parameters used in the simulation model are listed in Table 2. The variables

, e

U U U

s x x

C C C were predicted by varying the recy-cling rate ( )R between R=Rmin and R=1 using the MATLAB R2011 software.

Table 2: Selected parameters for S. obliquus growth simulation.

Variable/Parameter Value

I

F (m3 day-1) – Inlet volumetric flow rate 1.0

w

F (m3 day-1) – Volumetric flow rate of cell purge

0.1, 0.2, 0.3

M

K (g L-1) – Monod saturation constant for substrate

0.8

d

k (day-1) – specific death rate 0 and 0.05

r

V (m3) – Reactor volume 1.66

R – Recycling rate Rmin to 1

RESULTS AND DISCUSSION

The S. obliquus cultivation experiments were car-ried out using CO2 and nitrate (NO3-) solutions as

carbon and nitrogen sources, respectively, for the microalgae growth. CO2 was pumped in excess into

the system while NO3- solution was chosen as the

limiting substrate. Table 3 displays the values of NO3- concentration at the entrance and exit of the

reactor tank (CsIand CUs respectively), biomass con-centration (dried weight) at the reactor exit (CUx ), maximum specific growth rate ( )k and yield (Yx s/ ). It is noted that the NO3- comsumption was

approxi-mately 79%.

The high value of biomass concentration seen in Table 3 is typical of S. obliquus, which is referred as one of the most promising microalga for biofuel pro-duction. This result is in agreement with values pre-viously reported in the literature. For instance, Baky

et al. (2012) found a dried weight of 1.651 g L-1 for

S. obliquus cultivated at 25 °C in N-9 culture me-dium at 200 µE m-2 s-1 and 9% CO2 in the gas line.

(5)

af u B - 5 S re d sy ap b F th st m h T o F er S

fter 6 days sing BG-11 Breuer et al. 7 g L-1 by c 00 µE m-2

Scenedesmus

esistant agai ata also show ynthetic effi pproximately een examine Figure 4 disp

he steady-sta tate conditio month, enabl

igh cellular c

Table 3: Ex

bliquus cult

Parameter

I s C (g L-1)

U s C (g L-1)

U x C (g L-1) k (day-1)

/ (

U x

x s I U

s s

C Y

C C

=

Figure 4: Stea ration. (a) Ce

imulation of Mic

Brazilian

of Scenedes

culture me (2013) obtai cultiving S. o

s-1. All th genus, S.

inst increase w that both iciency decr y 800 – 100 ed in detail plays values ate. It can b ons were suc ing reproduc concentration xperimental tivation proc ) U ady-state data ellular concen

croalgal Growth in

Journal of Chem

smus dimorp

edium at 51 ined a bioma

obliquus in t ese results

obliquus in es of light i

relative grow rease for co

00 µE m-2 s s by Sforza of cellular c be verified t ccessfully m cibility of th n.

l data for cess.

a for the pho ntration. (b) C

n a Continuous P

mical Engineering

phus cultivat 10 µE m-2 ass content o

the range 30 show that n particular, ntensity. Th wth and pho ncentrations s-1, which ha a et al. (201 concentration hat the stea maintained fo

he system w

the bench

Value

1.78 ± 0. 0.38 ± 0.0 5.19 ± 0.4 0.49 3.86

tobioreactor Cellular densi

Photobioreactor w

g Vol. 33, No. 04,

tion s-1. of 6 00 - the is hese of ave 14). n at ady-or 1 with S. 18 07 47 op-ity. ter ter plo P F R θ C C θ *M T P F R θ C C θ *M (ab (F of tio is con nif pli ma hig Th nev tha ob the the cal cel red rea lig eff pla de with Sedimentatio

, pp. 773 - 781,

Simulations rs listed in Ta rs are summ otted and exh

Table 4:

Parameter

w

F (m3 day-1)

min

R

c

θ (day)* U x C (g/L)*

R x C (g/L)*

wo c

θ (day)

Maximum values.

Table 5: Sim

Parameter

w

F (m3 day-1)

min

R

c

θ (day)* U x C (g/L)*

R x C (g/L)*

wo c

θ (day)

Maximum values.

The values bsence of ce

)

w

F of 0.1 a

U x

C and CxR

ons. However observed th ncentration ficantly, mak icable for the It is worth m ass concentra gh, which is he cellular g

vertheless h an 8 g L-1) a bstruction of e concentrati e shading ca lled self-shad lls located f duced, thereb actor. In this ght were not ficiency of S

ate reactor a monstrated (

n and Partial Bio

October - Decem

s were run w able 2 and 3, marized in Ta

hibited in Fig

Simulation

mulation resu

of Rmin ar ell death) wh and 0.2 m3 da

R

x also sugge

r, when kd is

at Fw strong at the steady king the con e process. mentioning t

ation at the s not encoun

rowth depen high concen re not true c the light thr ion reaches h aused by cell ding effect). farther from by decreasin

work, trans taken in acc

S. obliquus cu at 300 µE m

(Sforza et a

omass Recycling

mber, 2016

with the vari , and the resu ables 4 and gures 5, 6 an

n results for

V 0.1 0.10 9.0 32.0 58.0

ults for kd =

V 0.1 0.14 9 19 35 re satisfacto when cell pur

ay-1 were use est good oper 0.05 day-1 (s gly influence y state. Rmin

nditions for F

that, in some exit of the r untered in re nds on the l ntrations (us conditions be roughout the high levels. lls of the lig The absorpt m the light s ng the produ smission and count since a ultivation in m-2 s-1 had be

al., 2014). A

7

iables/param ulting param 5. Data we nd 7.

0 d

k = .

Value 0.2 0.3 0.25 0.50 5.0 3.6 14 6.0 22.5 9.0 2.97

= 0.05 day-1.

Value 0.2 0.3 0.38 0.90 5 3.6 8 0.9 14 1.5 3.49

ry for kd =

rge flow rat ed. The valu rational cond see Table 5), es the cellul increases si

w

F = 0.3 ina

e cases the bi reactor is ve eal condition light intensit

sually great ecause there e reactor whe

This is due ght source (s tion of light b source is the uctivity of th d absorption

a better energ a similar fla een previous A limiting co

(6)

on-ce w w in

a

d g

1 ti sp in m cr to

th m li sy an op an er fo fo v

ti ti sy T tr u te ra w re m

th v d in th m

ce d tr 1 si th

entration of where cellula weight do no ntensities bet

l., 2013; Wa itions for s eometry.

It has been .33 g L-1 and ies fixed at 1 pectively, fo n a photobio mensions. Th

reased from o self-shadin

From Figu hat Rmin inc mass remova ikely because

ystem does n n effective m perating con nd Fw= 0.1 ration, due ormer condit or microalgae

ides a huge c Ho et al. ime (HRT) o ion of Scen

ystem, which This can be

ration (1.5 vv sed by the ention time ameters. In t was used and eaching cons mately 40 h). It can be o he operating

arying the b ence time. T ng the proce he microalga maintenance a

The use o ellular conce itions witho ration of 5.1 4 g L-1 were imulated valu he model.

f 8 g L-1 is ar concentra ot exceed th tween 300 – ang et al., 20

self-shading

n reported th d 9.66 g L-1 150 µE m-2 s or cultivation oreactor with he energy

24% to 13% ng (Beraldi, 2

ure 7 and Tab creases and al is increas e the amoun not provide s microalgae g

nditions in F

or for kd = to either lo tion, or physi e growth in t cellular conce

(2013) repo of 150 hours

nedesmus o

h exceeds th explained b vm) and ligh authors, wh

used to a this work, a d a light in sequently a

observed from g conditions

biomass rem This denotes

ess before la ae growth kin

and the biom of recycling entration bec out recycling 9 g L-1, whe e obtained f ues seem to

s often repo ations expre his value fo – 1500 µE m 013). Further

also depe

at cellular co are found fo s-1 and 1000 n of Scenede

h similar ge conversion %, which wa 2013).

bles 4 and 5,

U x

C decreas sed in the s nt of cell that sufficient act rowth. It sho

w

F = 0.3 fo 0 are unreal ow cellular ical limitatio the latter con entration valu orted a hydr

(6.25 days)

obliquus in he HRT use by the lowe ht intensity ( hich justifies

achieve bett a CO2 conce

ntensity of 3 HRT of 1.66

m Figures 5, diverge sign moval rate an the importa aboratory tes netics as wel mass removal caused an in cause the exp g led to a c

ereas values for the simu

be applicabl

rted in stud essed in dr or applied li m-2 s-1 (Breuer

rmore, the c nd on reac

oncentrations or light inten 0 µE m-2 s-1,

esmus obliqu

ometry and efficiency as probably d

it can be no ses as the b system. This t remains in tive biomass ows that for r values of in terms of growth in on of the reac ndition as it p ue of 32 g L -raulic retent for the culti a continuo d in this wo er CO2 conc

(240 µE m-2 the longer er growth entration of 300 µE m-2 6 day (appro

, 6, 7 and 8 t nificantly wh nd cellular re ance of simu

sts, by obey ll as the cellu l.

ncrement in perimental c ellular conc between 6 a lated data. T le for validat

dies ried ight r et

on-ctor

s of

nsi-

re-uus

di- de-due

oted bio-s ibio-s

the for the

d

k

op-the ctor

pro-1

. tion

iva-ous ork.

cen-s-1) re- pa-2%

s-1,

oxi-that hen esi- ulat-ying

ular

the on- cen-and The ting

Fig

(R

Fig

(R

gure 5: Plot R).

gure 6: Plot R).

t of θc as a

t of CUs as a

function of

a function of

recycling ra

f recycling ra ate

(7)

F

(R

F

(R

S

Figure 7: Plo R).

Figure 8: Plo R).

imulation of Mic

Brazilian

ot of CUx as

ot of CxR as

croalgal Growth in

Journal of Chem

a function o

a function o

n a Continuous P

mical Engineering

of recycling r

f recycling r

Photobioreactor w

g Vol. 33, No. 04,

rate

rate

int can sed spe sim tem pro an dat in pu ind pri

Sc

of bio op

Rm

sid (F

ev ins as beh ma me spe sho tio

all an do tia Ma

C

θ

with Sedimentatio

, pp. 773 - 781,

The model to account th n be further dimentation ecies. Howev mulating the m with parti

ovided insig d Rmin were

ta, for instan terms of ope urge flow rate dicated 0.1 iate values o

enedesmus o

A mathema

Scenedesm

oreactor with ped in this w

min become a

dered (kd =0 )

w

F lies in th er, the recycl sufficient lev

w

F increase havior was n athematical m entation cond ecies, in suc ould be mea on is able to a

AC

The author l support pro

d welcome f ova is also a ally presented

aceiò-Alagoa

Conce Resid (HRT

n and Partial Bio

October - Decem

developed i he sedimenta controlled b conditions d ver, the prop

two stage p al biomass r ghts into the

changed, no nce the cellul

erating cond e (Fw). Fina and 0.2 m3 of Fw for the

obliquus.

CONCLU

atical model

us obliquus

h partial biom work. It was v

pplicable wh 0) and when he range of 0

led biomass vels for an ad es. Finally the not taken int model. It is ditions are de ch a way th asured to exa affect the ente

CKNOWLE

s gratefully ovided to th from the Un cknowledged d in oral form

as-Brazil.

LIST OF S

entration of c ence time or ) (day)

omass Recycling

mber, 2016

in this work ation rates;

by centrifug depend on th posed model photobioreact

recycling. Th process beh ot only in te

lar residence ditions such a

ally, the sim day-1 as the e continuous

USIONS

to simulate

s cultivation mass recycli verified that hen cell dea n the cell pu 0.1 and 0.2 m concentratio dequate micr e microalgae to account in

noteworthy ependent on t hat the sedim

amine wheth ering biomas

EDGEMENT

acknowledg his work. Th niversità degl d. This rese m at the XXX

SYMBOLS

component i

r hydraulic re

7

k did not tak however, the gation becau

he microalg was useful f tor-settler sy he model al havior as θcw

rms of kinet e time, but al

as the bioma mulation resul e more appr s cultivation

the efficienc n in a phot

ing was deve t the values ath is not co urge flow ra m3 day-1. How on decreases roalgae grow sedimentatio n the propose that the sed the microalg mentation ra her sediment ss rate.

TS

ge CAPES f he opportuni li Studi di P earch was pa XVI ENEMP

(g L-1) etention time

779

ke ey use ae for

ys-so

wo c

tic so ass lts

ro-of

cy to- el-of

on-ate

w-to wth on ed

di-ae ate

ta-for ity

Pa- ar-

(8)

r Rate of production or consumption of component i (g L-1 day-1)

KM Monod saturation constant for substrate

(g L-1)

k Maximun specific growth rate (day-1)

kd Specific rate of cell death (day-1)

w

F Cell purge flow rate (m3 day-1)

R

F Recycling flow rate (m3 day-1)

1

F Inlet flow rate (m3 day-1)

c

θ Solid retention time (SRT) (day)

wo c

θ Wash-out time (day)

Yx/s Apparent yield coefficient for

substrate-to-biomass conversion (g g-1)

Vr Effective volume of the reactor (m3)

Rmin Minimum recycling rate (-)

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funziona-mento di fotobioreattori per la produzione industrial di microalghe: sperimentazione e simu-lazione. 2013, 94 p. Tesi di Laurea Magistrale - (Ingegneria Chimica e dei Processi Industriale) Università Degli Studi di Padova, Padova (2013). (In Italian).

Borzani, W., Coordenadores: Borzani, W., Schmidell, W., Lima, U. A., Aquarone, E., Biotecnologia In-dustrial. Volume 2, 1a (Ed.), Blucher: São Paulo (2001). (In Portuguese).

Breuer, G., Lamers, P. P., Martens, D. E., Draaisma, R. B., Wijffels, R. H., Effect of light intensity, pH and temperature on triacylglycerol (TAG) accu-mulation induced by nitrogen starvation in

Scenedesmus obliquus. Bioresource Technology, 143, 1-9 (2013).

Ho, S., Lu, W., Chang, J., Photobioreactor strategies for improving the CO2 fixation efficiency of

in-digenous Scenedesmus obliquus CNW-N: Statisti-cal optimization of CO2 feeding, illumination and

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stress-induced microalga Chlorella vulgaris by enzymatic hydrolysis and immobilized yeast fer-mentation. Bioresource Technology, 153, 47-54 (2014).

Lee, O. K., Kim, A. L., Seong, D. H., Lee, C. G., Jung, Y. T., Lee, J. W., Lee, E. Y., Chemo-enzy-matic saccharification and bioethanol fermenta-tion of lipid-extracted residual biomass of the mi-croalga, Dunaliella tertiolecta. Bioresource Tech-nology, 132, 197-201 (2013).

Mata, T. M., Martins, A. A., Caetano, N. S., Microal-gae for biodiesel production and other applica-tions: A review. Renewable and Sustainable En-ergy Reviews, 14, 217-232 (2010).

Rawat, R., Ranjith Kumar, R., Mutanda, T., Bux, F., Biodiesel from microalgae: A critical evaluation from laboratory to large scale production. Applied Energy, 103, 444-467 (2013).

Rippka, R., Deruelles, J., Waterbury, J. B., Herdman, M. and Stainer, R. Y., Generic assignments, strain histories and properties of pure cultures of cyano-bacteria. J. Gen. Microb., 111, 1-61 (1979).

Sforza, E., Simionato, D., Giacometti, G. M., Bertucco, A., Morosinotto, T., Adjusted light and dark cycles can optimize photosynthetic effi-ciency in algae growing in photobioreactors. Plos One: Public Library of Science, 6(7), 1-10 (2012).

Sforza, E., Enzo, M., Bertucco, A., Design of micro-algal biomass production in a continuous photo-bioreactor: An integrated experimental and mod-eling approach. Chemical Engineering Research and Design, 92(6), 1153-1162 (2013).

Sforza, E., Gris, B., de Farias Silva, C. E., Mo-rosinotto, T., Bertucco, A., Effects of light on cul-tivation of Scenedesmus obliquus in bacth and continuous flat plate photobioreactor. Chemical Engineering Transactions, 38, 211-216 (2014). Silva, C. E. F., Bertucco, A., Bioethanol from

micro-algae and cyanobacteria: a review and technologi-cal outlook. Process Biochemistry, 51(11), 1833-1842 (2016).

Sundstrom, D. W. and Klei, H. E., Wastewater Treat-ment. The University of Connecticut, Prentice- Hall, Englewood Cliffs, New Jersey (1979). Vigeolas, H., Duby, F., Kaymak, E., Niessen, G.,

Motte, P., Franck, F., Remacle, C., Isolation and partial characterization of mutants with elevated lipid content in Chlorella sorokiniana and

Scenedesmus obliquus. Journal of Biotechnology, 162, 3-12 (2012).

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Simulation of Microalgal Growth in a Continuous Photobioreactor with Sedimentation and Partial Biomass Recycling 781

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Reatores Anaeróbicos. Cap. 5, Em: Pós-Tratamento de Efluentes de Reatores Anaeróbicos por Lodos Ativados. Coordenaçao: Chernicharo, C. A. L., PROSAB, Belo Horizonte (2001). (In Portuguese).

Wang, L., Li, Y., Sommerfeld, M., Hu, Q., A flexible culture process for production of the green micro-alga Scenedesmus dimorphus rich in protein, carbohydrate or lipid. Bioresource Technology, 129, 289-295 (2013).

Wu, C., Wang, W., Yue, L., Yang, Z., Fu, Q., Ye, Q., Enhancement effect of ethanol on lipid and fatty acid accumulation and composition of Scenedes-mus sp. Bioresource Technology, 140, 120-125 (2013).

Referências

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