behavior of trickle bed air biofilter for vocs removal

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Behavior of Trickle Bed Air Behavior of Trickle Bed Air Biofilter Biofilter for for VOCs VOCs Removal Removal : Effect of Non : Effect of Non - - Use Periods Use Periods Daekeun Daekeun Kim, Kim, Zhangli Zhangli Cai Cai , , George A George A Sorial Sorial Department of Civil and Environmental Engineering, Department of Civil and Environmental Engineering, University of Cincinnati University of Cincinnati AlChE 2004 Spring National Meeting, April 28, 2004

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Behavior of Trickle Bed Air Behavior of Trickle Bed Air BiofilterBiofilter for for VOCsVOCs RemovalRemoval: Effect of Non: Effect of Non--Use PeriodsUse Periods

DaekeunDaekeun Kim,Kim,ZhangliZhangli CaiCai,,

George A George A SorialSorial

Department of Civil and Environmental Engineering, Department of Civil and Environmental Engineering, University of CincinnatiUniversity of Cincinnati

AlChE 2004 Spring National Meeting, April 28, 2004

• Introduction

• Objective

• Experimental Method

• Experimental Approach

• Results & Summary

• Conclusions

• Future Works

IntroductionIntroduction

VOC: Volatile organic compounds VOC: Volatile organic compounds

• Typical air contaminants– Environmental concern due to their toxicity– Serious health problems: cancer– Precursor of Ozone (O3)

• Sources of VOCs– Chemical manufacturing – Dry cleaners, – Paint booths, – and other sources using solvent.

Introduction (contIntroduction (cont’’d)d)

VOC Control Technology

• Carbon adsorption,• Liquid scrubbing,• Condensation,• Catalytic incineration,• and Biological treatment.

BiofiltrationBiofiltration !!!!!!

Introduction (contIntroduction (cont’’d)d)

Biofiltration

• Typical biological treatment process

• VOCs are removed through a biologically active media

• Natural organic media (soil, compost)

→ easily exhaust nutrient & buffer capacity → long term operation is impractical

Clean air

VOC

Introduction (cont’d)

Trickle Bed Air Biofilter (TBAB)

• Nutrient & buffer control

• Synthetic & inorganic media

→ Optimizing the contaminant utilizing kinetics for microorganisms

→ Long term, high removal performance

Clean air

NutrientVOC

Introduction (contIntroduction (cont’’d)d)

Trickle Bed Air Biofilter (TBAB)

• Advantages Environmental friendlyEconomical viable

• Disadvantage Clogging of bed due to accumulation of biomassUnclear performance under non-use periods : a shut down for

equipment repair, during weekends and holidays Unfavorable performance due to shock load & load fluctuation

Solvable problem !!Solvable problem !!

Introduction (cont’d)

Trickle Bed Air Biofilter (TBAB)

• Clogging of bed due to accumulation of biomass

→ Solution: biomass controlPeriodic in-situ upflow washing, backwashing

• Unclear performance under non-use periods

→ A purpose of this study

• Unfavorable performance due to shock load & load fluctuation

→ A purpose of the next study

Objective

• The main objective of this research is to investigate the performance of a TBAB under periodic stressed operating conditions (backwashing & non-use periods) as a function of toluene loading.

To evaluate the effect of non-use periods (starvation & stagnant) on the performance of a TBAB for long-term operation.

To compare TBAB operated under non-use periods against backwashing strategy.

Experimental Methods

• Target VOC: Toluene

• Reactor: independent lab-scale TBAB

• Media: pelletized biological support media

Schematic diagram

Effluent Water

AirN2 + O2

VOCsParticulatesWaterCO2

S

S

S

S

S

S

S Sampling Location

VOCs

Effluent Air

7

3

1

4

2

5

6

8

1. Electronic Air Cleaner2. Mass Flow Controller3. Syringe Pump4. Nutrient Feed Control System5. Nutrient Feed Tank6. Spray Nozzle7. Trickle Bed Biofilter8. Pelletized Media

Experimental Approach (cont’d)

• Experimental Condition : 5 steps

→ Different inlet concentration & loading rate

1.231.231.231.230.76EBRT, min

7.033.521.410.71.14Loading rate, kg COD/m3,day

5002501005050Inlet Concentration, ppmv

VIVIIIIII

Experimental Approach

Experimental Strategy: backwashing, starvation, stagnant

• Backwashing: biomass controlUsing nutrient solution Frequency: 1 hour once per week for a period of 3 weeks

• Non-use period

Starvation: pure air with nutrient passing through the biofilter(without VOC loading)

Stagnant: no flow (VOC, nutrient, air) passing through the biofilter

Frequency: two days per week for a period of 3 weeks

Without backwashing as biomass control

Results

• Biofilter performance

• Reacclimation

• Kinetic analysis

Result 1. Biofilter Performance

• Biofilter performance as a function of inlet VOC concentration and loading, and experimental strategies.

Result 1. Overall performance

Sequential Date, days

0 50 100 150 200 250 300

Tol

uene

Con

cent

rati

on, p

pmv

0

200

400

600

800

Rem

oval

Eff

icie

ncy,

%

0

20

40

60

80

100

I II III IV V

Inlet ConcentrationOutlet ConcentrationRemoval Efficiency

Sequential Date, days

0 50 100 150 200 250 300

Tol

uene

Con

cent

rati

on, p

pmv

0

200

400

600

800

Rem

oval

Eff

icie

ncy,

%

0

20

40

60

80

100

I II III IV V

1.14Loading, kg COD/m3,day

50Inlet Conc., ppmv

IStep I: Start-up Period

• Backwashing

Result 1 (cont’d)

Sequential Date, days

0 50 100 150 200 250 300

Tol

uene

Con

cent

rati

on, p

pmv

0

200

400

600

800

Rem

oval

Eff

icie

ncy,

%

0

20

40

60

80

100

I II III IV V

0.7Loading, kg COD/m3,day

50Inlet Conc., ppmv

IIStep II: Stable & efficient performance

• Backwashing• Non-use periods

Result 1 (cont’d)

Sequential Date, days

0 50 100 150 200 250 300

Tol

uene

Con

cent

rati

on, p

pmv

0

200

400

600

800

Rem

oval

Eff

icie

ncy,

%

0

20

40

60

80

100

I II III IV V

1.41Loading, kg COD/m3,day

100Inlet Conc., ppmv

IIIStep III : Reacclimation ( +10 days)

• Efficient performance (backwashing, non-use periods)

Result 1 (cont’d)

Sequential Date, days

0 50 100 150 200 250 300

Tol

uene

Con

cent

rati

on, p

pmv

0

200

400

600

800

Rem

oval

Eff

icie

ncy,

%

0

20

40

60

80

100

I II III IV V

3.52Loading, kg COD/m3,day

250Inlet Conc., ppmv

IVStep IV : Reacclimation ( +20 days)• backwashing: relatively stable • non-use periods: unstable

→ need backwashing

Result 1 (cont’d)

Sequential Date, days

0 50 100 150 200 250 300

Tol

uene

Con

cent

rati

on, p

pmv

0

200

400

600

800

Rem

oval

Eff

icie

ncy,

%

0

20

40

60

80

100

I II III IV V

7.03Loading, kg COD/m3,day

500Inlet Conc., ppmv

VStep V : Inefficient performance (backwashing)

→ Oxygen limitation within biofim

Result 1 (cont’d)

Summary

• At 0.7 and 1.41 kg COD/m3⋅day, TBAB provided the + 99 % removal efficiency for all strategies.

• For non-use periods at 3.52 kg COD/m3⋅day, the removal efficiency dropped below 90 %.

→ demanding Backwashing as biomass control

• An increase in loading rate needs much longer acclimation period.

Result 1 (cont’d)

Result 2. Reacclimation

• Reacclimation periods to reach at 99 % removal efficiency

– After backwashing and – After restart-up following the shut down for non-use periods.

Result 2: Reacclimation

Stagnant

Time, min

0 100 200 300 400 500 600 700

Rem

ova

l Eff

icie

ncy

, %

0

20

40

60

80

100

Backwashing

Rem

ova

l Eff

icie

ncy

, %

0

20

40

60

80

100

0.70 kg COD/m3day

1.41 kg COD/m3day

3.52 kg COD/m3day

Starvation

Time, min

0 100 200 300 400 500 600 700

Result 2 (cont’d)

Stagnant

Time, min

0 100 200 300 400 500 600 700

Rem

ova

l Eff

icie

ncy

, %

0

20

40

60

80

100

Backwashing

Rem

ova

l Eff

icie

ncy

, %

0

20

40

60

80

100

0.70 kg COD/m3day

1.41 kg COD/m3day

3.52 kg COD/m3day

Starvation

Time, min

0 100 200 300 400 500 600 700

Summary 2Summary 2--1.1. An increase in loading rate delayed reacclimation.

Result 2 (cont’d)

Stagnant

Time, min

0 100 200 300 400 500 600 700

Rem

ova

l Eff

icie

ncy

, %

0

20

40

60

80

100

Backwashing

Rem

ova

l Eff

icie

ncy

, %

0

20

40

60

80

100

0.70 kg COD/m3day

1.41 kg COD/m3day

3.52 kg COD/m3day

Starvation

Time, min

0 100 200 300 400 500 600 700

Summary 2-2. For backwashing strategy, much longer reacclimationperiod was required.→ due to the loss of active biomass by conducting backwashing

Result 2 (cont’d)

Stagnant

Time, min

0 100 200 300 400 500 600 700

Rem

ova

l Eff

icie

ncy

, %

0

20

40

60

80

100

Backwashing

Rem

ova

l Eff

icie

ncy

, %

0

20

40

60

80

100

0.70 kg COD/m3day

1.41 kg COD/m3day

3.52 kg COD/m3day

Starvation

Time, min

0 100 200 300 400 500 600 700

Summary 2-3. For non-use period strategies, the biofilter response is different from that after backwashing.→ the biomass played an important role in the reacclimation

Result 2 (cont’d)

Stagnant

Time, min

0 100 200 300 400 500 600 700

Rem

ova

l Eff

icie

ncy

, %

0

20

40

60

80

100

Backwashing

Rem

ova

l Eff

icie

ncy

, %

0

20

40

60

80

100

0.70 kg COD/m3day

1.41 kg COD/m3day

3.52 kg COD/m3day

Starvation

Time, min

0 100 200 300 400 500 600 700

Summary 2- 4. At high loading rate for non-use periods, → initially, a likely breakthrough was observed→ due to VOC adsorption on the biomass

Result 2 (cont’d)

Result 3. Kinetic analysis

• Kinetic analysis for VOC removal

Based on a pseudo first order reaction rate as a function of depth in the biofilter

Result 3. Kinetic analysis

COD loading, kg COD/m3day

0 1 2 3 4 5 6 7

Rea

ctio

n ra

te, s

ec-1

0.00

0.02

0.04

0.06

0.08

0.10

0.12

BackwashingStarvationStagnant

II (0.7)

III (1.41)

IV (3.52)

V (7.03)

* Loading rate(Kg COD/m3day)

Result 3 (cont’d)

Summary 3-1. An increase in loading rate decreased reaction rates.

COD loading, kg COD/m3day

0 1 2 3 4 5 6 7

Rea

ctio

n ra

te, s

ec-1

0.00

0.02

0.04

0.06

0.08

0.10

0.12

BackwashingStarvationStagnant

II (0.7)

III (1.41)

IV (3.52)

V (7.03)

* Loading rate(Kg COD/m3day)

Result 3 (cont’d)

Summary 3-2. For low loading rate (0.7 and 1.41 kg COD/m3day), non-use period strategies showed high reaction rates→ might be due to availability of active biomass

COD loading, kg COD/m3day

0 1 2 3 4 5 6 7

Rea

ctio

n ra

te, s

ec-1

0.00

0.02

0.04

0.06

0.08

0.10

0.12

BackwashingStarvationStagnant

II (0.7)

III (1.41)

IV (3.52)

V (7.03)

* Loading rate(Kg COD/m3day)

Result 3 (cont’d)

COD loading, kg COD/m3day

0 1 2 3 4 5 6 7

Rea

ctio

n ra

te, s

ec-1

0.00

0.02

0.04

0.06

0.08

0.10

0.12

BackwashingStarvationStagnant

Summary 3-3. For 3.52 kg COD/m3day, non-use period strategies showed low reaction rates→ might be due to high accumulation of the biomass

II (0.7)

III (1.41)

IV (3.52)

V (7.03)

* Loading rate(Kg COD/m3day)

Result 3 (cont’d)

ConclusionConclusion

• High performance of TBAB was observed for all experimental strategies up to 3.52 kg COD/m3day (250 ppmv).

• However, during the reacclimation periods following backwashing and non-use period, the TBAB unit can not comply with emission regulations.

→ the limitation of current TBAB system demands

novel novel VOCsVOCs control technologycontrol technology

Future WorksFuture Works

• IssueNeed to decrease reacclimation periodsNeed to mitigate shock load & load fluctuations

• GoalYield consistently high VOC removal efficiency

• ProposalEmploy a preliminary unit as a buffer

Future Works (contFuture Works (cont’’d)d)

Preliminary unit: Pressure swing adsorption (PSA) unitOperated under long term adsorption/desorption cycles

VOC

Consist loadVOC

Future Works (contFuture Works (cont’’d)d)

Combined Treatment : PSA + TBAB

→ Long term, high performance for VOC removal

Clean Air

Nutrient

VOC

Consist loadVOC

Functions

During backwashingfor biofilter unit

→ PSA: a sole unit of purification

During reacclimation period for biofilter unit

→ PSA: a buffer unit

Acknowledgements

• National Science Foundation (BES-0229135)

• Dr. George A. Sorial

• Colleagues at Environmental Chemistry Laboratory at University of Cincinnati.

Behavior of Trickle Bed Air Behavior of Trickle Bed Air BiofilterBiofilter for for VOCsVOCs Removal: Removal: Effect of NonEffect of Non--Use PeriodsUse Periods

DaekeunDaekeun KimKim

Department of Civil and Environmental EngineeringDepartment of Civil and Environmental EngineeringUniversity of CincinnatiUniversity of Cincinnati