Skip to main content
Log in

Dynamic modeling and analysis of biotrickling filters in continuous operation for H2S removal

  • Original Paper
  • Published:
Clean Technologies and Environmental Policy Aims and scope Submit manuscript

Abstract

A number of important biotrickling filter (BTF) models are reviewed. For our study, a theoretical model, based on H2S removal in a differential BTF under batch mode, was selected among the models reviewed. Using a cascade of BTF units in series, in this work, we have extended the model for continuous operation under dynamic conditions and the model accuracy is verified under a limiting case. The modified model was successfully simulated and used in the performance evaluation of a continuous BTF. Sensitivity analysis of the BTF performance in a continuous operation revealed that liquid–gas velocity ratio (LGVR) has negligible effects as compared to the effects of inlet concentration of H2S and gas velocity. The modified model extends the applicability of the model for full-scale design, process identification and control systems of a BTF in a continuous operation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Abbreviations

A nw :

Non-wetted area (m2)

A w :

Wetted area (m2)

A :

Interfacial area (m−1)

a :

Specific interfacial area (m−1)

a w :

Specific wetted area (m2/(m3 of packed bed))

C :

H2S concentration (g m−3)

C g0 :

Gas phase inlet concentration of H2S (g m−3)

C gi1 :

Gas phase concentration of H2S at gas–liquid interface (g m−3)

C gi2 :

Gas phase concentration of H2S at gas-biofilm interface (g m−3)

C Li2 :

Liquid phase concentration of H2S at liquid-biofilm interface (g m−3)

C wb :

Concentration of H2S in the wetted biofilm (g m−3)

C nwb :

Concentration of H2S in the non-wetted biofilm (g m−3)

D g :

H2S diffusion coefficient in air (m2 h−1)

D L :

Diffusivity of H2S in trickling liquid (m2 h−1)

D p :

Nominal size of packing (m)

F :

Volumetric flow rate (m3h−1)

Fr:

Froude number

FT:

Biofilm thickness (m)

FT:

Discretized biofilm thickness (m)

G :

Superficial mass velocity of gas (kg m−2 h−1)

g c :

Gravitational constant (m h−2)

H :

Henry’s constant (−)

i, j :

Index for finite elements in the dynamic model

k g1 :

Mass transfer coefficient from gas to liquid (m h−1)

k g2 :

Mass transfer coefficient from gas to non-wetted biofilm (m h−1)

k L :

Mass transfer coefficient in liquid (m h−1)

L :

Superficial mass velocity of liquid (kg m−2 h−1)

N :

Number of biofilm layer subdivisions

Re:

Reynolds number

R max :

Maximum reaction rate (g m−3 h−1)

V :

Volume (m3)

V g/L :

Gas–liquid volume ratio

We:

Weber number

\( \mu \) :

Viscosity (kg m−1 h−1)

\( \rho \) :

Density (kg m−3)

\( \sigma_{\text{p}} \) :

Surface tension of packing (kg h−2)

\( \sigma \) :

Surface tension of water (kg h−2)

g:

Gas phase

L:

Liquid phase

BTF:

Biotrickling filter

LGVR:

Liquid–gas velocity ratio

PUF:

Polyurethane foam

VOC:

Volatile organic compound

References

  • Alonso C, Suidan MT, Kim BR, Kim BJ (1998) Dynamic mathematical model for the biodegradation of VOCs in a biofilter: biomass accumulation study. Environ Sci Technol 32(20):3118–3123

    Article  CAS  Google Scholar 

  • Delhomenie MC, Heitz M (2005) Biofiltration of air: a review. Crit Rev Biotechnol 25:53–72

    Article  CAS  Google Scholar 

  • Devinny JS, Ramesh J (2005) A phenomenological review of biofilter models. Chem Eng J 113:187–196

    Article  CAS  Google Scholar 

  • Dvorak BI, Lawler DF, Fair JR, Handler NE (1996) Evaluation of the Onda correlations for mass transfer with large random packings. Environ Sci Technol 30(3):945–953

    Article  CAS  Google Scholar 

  • Estrada JM, Kraakman NJRB, Munoz R, Lebrero R (2011) A comparative analysis of odour treatment technologies in wastewater treatment plants. Environ Sci Technol 45(3):1100–1106

    Article  CAS  Google Scholar 

  • Gabriel D, Deshusses MA (2003) Retrofitting existing chemical scrubbers to biotrickling filters for H2S emission control. Proc Natl Acad Sci USA 100(11):6308–6312

    Article  CAS  Google Scholar 

  • Kim S, Deshusses MA (2003) Development and experimental validation of a conceptual model for biotrickling filtration of H2S. Environ Prog 22(2):119–128

    Article  CAS  Google Scholar 

  • Lafita C, Penya-Roja JM, Sempere F, Waalkens A, Gabaldon C (2012) Hydrogen sulphide and odor removal by field-scale biotrickling filters: influence of seasonal variations of load and temperature. J Environ Sci A 47(7):970–978

    Article  CAS  Google Scholar 

  • Lee S, Heber AJ (2010) Ethylene removal using biotrickling filters: part II. Parameter estimation and mathematical simulation. Chem Eng J 158:89–99

    Article  CAS  Google Scholar 

  • Liao Q, Tian X, Chen R, Zhu X (2008) Mathematical model for gas-liquid two-phase flow and biodegradation of a low concentration volatile organic compound (VOC) in a trickling biofilter. Int J Transf 51:1780–1792

    Google Scholar 

  • Mudliar S, Giri B, Padoley K, Satpute D, Dixit R, Bhatt P, Pandey R, Juwarkar A, Vaidya A (2010) Bioreactors for treatment of VOCs and odours—a review. J Environ Manag 91:1039–1054

    Google Scholar 

  • Sharvelle S, Arabi M, McLamore E, Banks MK (2008) Model development for biotrickling filter treatment of graywater simulant and waste gas. I. J Environ Eng 134(10):813–825

    Article  CAS  Google Scholar 

  • The Mathworks (2013) fsolve. http://www.mathworks.com/help/optim/ug/fsolve.html. Accessed 11 Nov 2013

  • Welty JR, Wicks CE, Rorrer GL, Wilson RE (2008) Fundamentals of momentum, heat, and mass transfer, 5th edn. Wiley, New Jersey

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zarook M. Shareefdeen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ahmed, W., Shareefdeen, Z.M. & Jabbar, N.A. Dynamic modeling and analysis of biotrickling filters in continuous operation for H2S removal. Clean Techn Environ Policy 16, 1757–1765 (2014). https://doi.org/10.1007/s10098-013-0697-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10098-013-0697-0

Keywords

Navigation