Effect of the biomass in the modelling and simulation of the biofiltration of hydrogen sulphide: simulation and experimental validation

Silva, Javier; Morales, Marjorie; Cáceres, Manuel; Martín, Ricardo San; Gentina, Juan Carlos; Aroca, Germán

doi:10.1002/jctb.2443

Cited by 10 publications

(7 citation statements)

References 29 publications

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“…Results from models that had considered irregular biofilm growth are not better than those that assume a flat layer. However, Silva et al . modeled the variation of active biomass along the biotrickling filter fed with different H 2 S loading rates.…”

Section: Dynamic Modeling Of Sulfide Removal Processesmentioning

confidence: 99%

The sulfur chain in biogas production from sulfate‐rich liquid substrates: a review on dynamic modeling with vinasse as model substrate

Barrera

Spanjers

Dewulf

et al. 2013

J of Chemical Tech & Biotech

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Vinasse is a sulfate-rich liquid substrate, from which high levels of hydrogen sulfide in biogas can be obtained due to the sulfate reduction process under anaerobic conditions. Hydrogen sulfide is corrosive and toxic and must be removed for any utilization of the biogas. Mathematical models have been developed to study separately sulfate reduction in anaerobic digestion and sulfide removal from biogas streams. However, the levels of hydrogen sulfide produced in the anaerobic digestion stage have an effect on the sulfide removal processes in the next stage. As a method to study both processes and their interaction, a new approach is introduced and reviewed in the present article: the sulfur chain in biogas production. The necessity of studying the sulfate reduction processes in vinasse as a typical sulfate-rich substrate to predict hydrogen sulfide concentrations in the gas phase, as well as the best model approach to that aim are established here. In addition, the approaches to model sulfide removal based on direct conversion processes, the models' capability to predict the removal of hydrogen sulfide from the biogas (at levels between 20 000 and 30 000 ppm v ) as well as the concentration profile of the reactants in this removal processes are discussed.•Equilibrium Equation (9) (m 3 kmol −1 ) •Equilibrium Equation (10) (−) K 100 Concentration of H 2 S or pH at which the uptake rate is decreased 100 times (kmol m −3 ) K 2 Concentration of H 2 S or pH at which the uptake rate is decreased twice (kmol m −3 ) K a, acid Acid-base equilibrium coefficient (kmol m −3 ) K A/B Acid-base kinetic parameter (m 3 kmol −1 d −1 ) K H Henry's law coefficient (kmol m −3 bar −1 ) K I Inhibition coefficient by undissociated H 2 S (kmol m −3 ) K P2 Competitive product inhibition coefficient in Equation (30) (kg m −3 ) K S Half saturation value (kg COD_S i · m −3 ) K S * Half saturation value in absence of inhibitor in Equation (30) kg m −3 K SO4 Half saturation value for sulfates (kmol m −3 ) EL Barrera et al. K W Water equilibrium constant (kmol m −3 ) L n− Organic ligand (−) p H2S Hydrogen sulfide partial pressure (bar) pH LL Lower pH limits where the groups of microorganism are 50% inhibited (−) pH UL Upper pH limits where the groups of microorganism are 50% inhibited (−) pH 0 pH of the maximum growth rate of Thiobacillus ferrooxidans (−) r Reaction rate (kmol m −3 s −1 ) S Concentration of soluble components (for hydrogen ions, sulfates, sulfides and its ionized forms units are in kmol m −3 ) (kg COD_S i m −3 ) S I Inhibitor concentration (undissociated H 2 S) (kmol m −3 ) T Temperature ( • C) t Time (s) X Particulate component (kg VSS m −3 ) x Distance from gas-liquid interface (m) Y Yield of biomass on the substrate (kg VSS kg COD_S i −1 ) Greek letters α LL-α UL Positive values which affect the steepness of the curve (−) ρ A Acid-base kinetic rate (kmol m −3 d −1 ) ρ uptake Kinetic rate of substrate uptake (kg COD_S i m −3 d −1 ) ρ growth Kinetic rate of bacterial growth (kg VSS m −3 d −1 ) ρ decay Kinetic rate of bacterial ...

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Section: Dynamic Modeling Of Sulfide Removal Processesmentioning

confidence: 99%

The sulfur chain in biogas production from sulfate‐rich liquid substrates: a review on dynamic modeling with vinasse as model substrate

Barrera

Spanjers

Dewulf

et al. 2013

J of Chemical Tech & Biotech

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“…It would indicate that there is no limitation for availability of H2S from the gas phase and it also suggest that the biooxidation kinetics limits the biooxidation in the BTF. Silva et al (2010) had shown low Thiele modules for this system. 7 Figure 11 shows a sensitivity analysis of the DMS inhibition constant when the system was fed with 1.2 g·S m -3 h -1 of DMS and 0.1 g·S m -3 h -1 of H2S.…”

Section: Resultsmentioning

confidence: 98%

“…Figure 5 shows the values obtained from T. thioparus inlet cell counts using epifluorescence microscopy. It is possible to observe that there are no important variations in the inlet cell count due to changes in the H2S inlet concentration and only axial biomass profiles are observed by Silva et al (2010).…”

Section: Numeric Solutionmentioning

confidence: 84%

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Modelling of the biofiltration of reduced sulphur compounds through biotrickling filters connected in series: Effect of H2S

Silva

Morales

Cáceres

et al. 2012

Electron. J. Biotechnol.

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Background:The behaviour of two biotrickling filters connected in serie (BTF) inoculated with Acidithiobacillus thiooxidans and Thiobacillus thioparus, biodegrading hydrogen sulphide (H2S) and dimethyl sulphide (DMS) simultaneously were studied. A model which considers gas to liquid mass transfer and biooxidation in the biofilm attached to the support is developed. Additionally, a fixed bed biotrickling filter where the microorganism is immobilized in a biofilm which degrades a mixture of H2S and DMS is implemented. Validation of the model was carried out using experimental data obtained at different H2S and DMS loads. Results: The inhibitory effect caused by the presence of H2S on the DMS is observed, which is evidenced by the decrease of the DMS removal efficiency from 80 to 27%, due to the preference that T. thioparus has by simple metabolism. H2S is not affected by the DMS, with removal efficiencies of 95 to 97%, but it decreases at high concentrations of the compound, due to the inhibition of metabolism by high H2S input loads. The model which describes the BFT fits successfully with the experimental results and it has a high sensitivity to inhibition parameters. Conclusions: It is shown that the microorganism has a high affinity for H2S, producing substrate inhibition when the concentration is high. The H2S is able to inhibit the DMS biooxidation, whereas the DMS does not affect the H2S biooxidation.

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“…(Smith et al, 1996;Deshusses and Cox, 1999;Kennes and Veiga, 2002). Many microbial growth models have been developed to describe biomass accumulation patterns under different operating conditions (Schwarz et al, 2001;Song and Kinney, 2002;Iliuta and Larachi, 2004;Nukunyaa et al, 2005;Silva et al, 2010). Among these models, however, only a few have considered inert biomass, that part of a biomass composed of cells without biological activity.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Biomass Accumulation Pattern in Vapor-Phase Biofilters

Hu²,

Zhang³

2012

Environmental Engineering Science

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Existence of inert biomass and its impact on biomass accumulation patterns and biofilter performance were investigated. Four biofilters were set up in parallel to treat gaseous toluene. Each biofilter operated under different inlet toluene loadings for 100 days. Two microbial growth models, one with an inert biomass assumption and the other without, were established and compared. Results from the model with the inert biomass assumption showed better agreement with the experimental data than those based on the model without the inert biomass assumption thus verifying that inert biomass accumulation cannot be ignored in the long-term operation of biofilters. According to the model with an inert biomass assumption, the ratio of active biomass to total biomass will decrease and the inert biomass will become dominant in total biomass after a period of time. Filter bed structure simulation results showed that the void fraction is more sensitive to biomass accumulation than the specific surface area. The final void fraction of the biofilters with the highest inlet toluene loading is only 67% of its initial level while the final specific surface area is 82%. Identification and quantification of inert biomass will give a better understanding of biomass accumulation in biofilters and will result in a more exact simulation of biomass change during long-term operations. Results also indicate that an ideal biomass control technique should be able to remove most inert biomass while simultaneously preserving as much active biomass as possible.

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Effect of the biomass in the modelling and simulation of the biofiltration of hydrogen sulphide: simulation and experimental validation

Cited by 10 publications

References 29 publications

The sulfur chain in biogas production from sulfate‐rich liquid substrates: a review on dynamic modeling with vinasse as model substrate

The sulfur chain in biogas production from sulfate‐rich liquid substrates: a review on dynamic modeling with vinasse as model substrate

Modelling of the biofiltration of reduced sulphur compounds through biotrickling filters connected in series: Effect of H2S

Simulation of Biomass Accumulation Pattern in Vapor-Phase Biofilters

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