Effect of the height‐to‐diameter ratio on the mass transfer and mixing performance of a biotrickling filter

Ordaz, Alberto; Figueroa‐González, Ivonne; San‐Valero, Pau; Gabaldón, Carmen; Quijano, Guillermo

doi:10.1002/jctb.5330

Cited by 5 publications

(4 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mixing performance was evaluated in terms of the mixing time ( t mix ), which is defined as the time required to achieve 95% of the final concentration after addition of a tracer pulse . In brief, t mix was determined as follows: a 2 mL pulse of hydrochloric acid (HCl) or sodium hydroxide (NaOH) (10 mol L −1 solutions) was injected at the bottom of the UASB reactor using tap water as the model liquid medium.…”

Section: Methodsmentioning

confidence: 99%

“…For this purpose, a pH probe connected to a LabQuest® data acquisition card was used (Vernier, Beaverton, OR, USA). The mixing degree ( m ) was calculated using Eqn (3), according to Ordaz et al ., t mix being considered as the time required to achieve an m value of 95% after the addition of the tracer pulse.

m = (\frac{{pH}_{t} - {pH}_{0}}{{pH}_{\infty} - {pH}_{0}}) \times 100 %,

where pH 0 and pH ∞ represent the initial and final pH values, while pH t is the instantaneous pH value recorded by the probe.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Biohydrogen production from winery effluents: control of the homoacetogenesis through the headspace gas recirculation

Buitrón

Muñoz-Páez

Quijano

et al. 2019

J of Chemical Tech & Biotech

Self Cite

View full text Add to dashboard Cite

BACKGROUND: Fermentative hydrogen production has an inherent limitation caused by hydrogen-consuming metabolic pathways such as homoacetogenesis related to high hydrogen partial pressures. In this study, a strategy based on recirculating the headspace gas was applied to increase the hydrogen release from the liquid to the gas phase in an upflow anaerobic sludge blanket(UASB) reactor fed with winery effluents. The influence of the gas upflow recirculation velocity on hydrogen production, hydrogen consumption by homoacetogenesis, and microbial community structure was evaluated.RESULTS: Under the control condition (only liquid recirculation), the hydrogen productivity was as much as 22 mL H 2 L −1 h −1 . Conversely, the hydrogen productivity increased up to 62 mL H 2 L −1 h −1 when the reactor was operated with an upflow gas recirculation velocity of 28.6 m d −1 . The increase in mass transfer, due to the gas recirculation, produces a decrease (up to 70%) in the hydrogen consumption rate associated with homoacetogenesis. High-throughput 16s rDNA sequencing characterization showed that the gas recirculation strategy promoted the development of hydrogen-producing microorganisms related to Megasphaera elsdenii and decreased the abundance of hydrogen-consuming bacteria related to Clostridium carboxidivorans and C. ljungdahlii. CONCLUSION:The results indicated that headspace recirculation at gas upflow velocities higher than 17.8 m d −1 increased the hydrogen production rate concomitantly with the reduction of both the homoacetogenic activity and the abundance of H 2 -consuming bacteria. The study demonstrated that headspace recirculation could be a promising way to control homoacetogenesis, and therefore, to increase the biohydrogen productivity from complex substrates such as winery effluents. ABBREVIATIONS CODchemical oxygen demand CSTR continuous stirred tank reactor EtOH residual ethanol (mg COD L -1 ) HA homoacetogenic activity HAc acetic acid (mg COD L -1 ) HBu butyric acid (mg COD L -1 ) HCap caproic acid (mg COD L -1 ) HC-H hydrogen consumers by homoacetogenesis HP-C hydrogen producer by carbohydrates HP-LA hydrogen producers by lactic acid HPR hydrogen production rate HPr propionic acid (mg COD L -1 ) HRT hydraulic retention time HVal valeric acid (mg COD L -1 ) m mixing degree MEE missing electron equivalents OTUs operational taxonomic units t mix mixing time UASB upflow anaerobic sludge blanket WWs winery wastewater effluents Homoacetogenic activityThe acetate production by homoacetogenic activity (HA) was calculated using the stoichiometric relation of hydrogen, acetate, J Chem Technol Biotechnol 2020; 95: 544-552

show abstract

Section: Methodsmentioning

confidence: 99%

m = (\frac{{pH}_{t} - {pH}_{0}}{{pH}_{\infty} - {pH}_{0}}) \times 100 %,

where pH 0 and pH ∞ represent the initial and final pH values, while pH t is the instantaneous pH value recorded by the probe.…”

Section: Methodsmentioning

confidence: 99%

Biohydrogen production from winery effluents: control of the homoacetogenesis through the headspace gas recirculation

Buitrón

Muñoz-Páez

Quijano

et al. 2019

J of Chemical Tech & Biotech

Self Cite

View full text Add to dashboard Cite

show abstract

“…Zeng et al [3] studied the effect of TLV between 2.63 an 9.47 m·h −1 (H 2 S IL < 86.92 gS·m −3 ·h −1 ) and achieved an efficient removal of H 2 S for the lowest TLV, probably due to the larger height-diameter (H/D) ratio (10.9) and the higher EBRT (342 s). A high H/D ratio and a low EBRT improve the gas-liquid mass transfer [26] but increase the installation cost due to the higher pressure drop [27] and the higher volume of the packed bed.…”

Section: Empirical Modelmentioning

confidence: 99%

Application of Response Surface Methodology for H2S Removal from Biogas by a Pilot Anoxic Biotrickling Filter

2019

View full text Add to dashboard Cite

In this study, a pilot biotrickling filter (BTF) was installed in a wastewater treatment plant to treat real biogas. The biogas flow rate was between 1 and 5 m 3 ·h −1 with an H 2 S inlet load (IL) between 35.1 and 172.4 gS·m −3 ·h −1 . The effects of the biogas flow rate, trickling liquid velocity (TLV) and nitrate concentration on the outlet H 2 S concentration and elimination capacity (EC) were studied using a full factorial design (3 3 ). Moreover, the results were adjusted using Ottengraf's model. The most influential factors in the empirical model were the TLV and H 2 S IL, whereas the nitrate concentration had less influence. The statistical results showed high predictability and good correlation between models and the experimental results. The R-squared was 95.77% and 99.63% for the 'C model' and the 'EC model', respectively. The models allowed the maximum H 2 S IL (between 66.72 and 119.75 gS·m −3 ·h −1 ) to be determined for biogas use in a combustion engine (inlet H 2 S concentration between 72 and 359 ppm V ). The 'C model' was more sensitive to TLV (-0.1579 (gS·m −3 )/(m·h −1 )) in the same way the 'EC model' was also more sensitive to TLV (4.3303 (gS·m −3 )/(m·h −1 )). The results were successfully fitted to Ottengraf's model with a first-order kinetic limitation (R-squared above 0.92).

show abstract

“…Many efforts have been made to optimize the configuration of bioreactors to enhance their overall performance (Irvine and Moe 2001; Kim et al 2005). Effects of various environmental factors such as EBRT, pH, temperature, moisture content, and pressure drop, as well as the microbial communities inside, have been extensively studied (Baquerizo et al 2009; Cabrol et al 2012; Pérez et al 2016; Copelli et al 2017; Ordaz et al 2018). These studies were conducted under steady conditions.…”

Section: Introductionmentioning

confidence: 99%

Structure and predictive functional profiling of microbial communities in two biotrickling filters treated with continuous/discontinuous waste gases

Feng

et al. 2019

AMB Expr

View full text Add to dashboard Cite

Two biotrickling filters were operated in continuous (BTF1) and discontinuous (BTF2) modes at a constant empty bed residence time of 60 s for 60 days. From day 60, the operation mode of each BTF was oppositely switched. Higher removal efficiencies of five aromatic pollutants were recorded with BTF1 (> 77.2%). The switch in the operation mode did not alter the removal performance of BTF1. Comparatively, BTF2 was not successfully acclimated in the discontinuous operation mode. Once the mode had been switched to continuous mode, the removal efficiencies of BTF2 on all pollutants increased drastically and finally exceeded the values observed in BTF1, with the single exception of p-xylene. Principle coordinate analysis and analysis of similarities (ANOSIM) showed that the structure of the microbial communities differed considerably between both BTFs (R = 1.000, p < 0.01) as well as before and after the switch in BTF2 (R = 0.996, p < 0.01). The random forest model demonstrated that Mycobacterium, Burkholderia, and Comamonas were the three most important bacterial genera contributing to the differences in microbial communities between the two BTFs. Metagenomics inferred by PICUSt (phylogenetic investigation of communities by reconstruction of unobserved states) indicated that BTF2 had high degradation potential for aromatic pollutants, although those genes involved in biofilm formation were less active in BTF2 than those in BTF1.

show abstract

Effect of the height‐to‐diameter ratio on the mass transfer and mixing performance of a biotrickling filter

Cited by 5 publications

References 33 publications

Biohydrogen production from winery effluents: control of the homoacetogenesis through the headspace gas recirculation

Biohydrogen production from winery effluents: control of the homoacetogenesis through the headspace gas recirculation

Application of Response Surface Methodology for H2S Removal from Biogas by a Pilot Anoxic Biotrickling Filter

Structure and predictive functional profiling of microbial communities in two biotrickling filters treated with continuous/discontinuous waste gases

Contact Info

Product

Resources

About