Resilient performance of an anoxic biotrickling filter for hydrogen sulphide removal from a biogas mimic: Steady, transient state and neural network evaluation

Watsuntorn, Wannapawn; Khanongnuch, Ramita; Chulalaksananukul, Warawut; Rene, Eldon R.; Lens, Piet N.L.

doi:10.1016/j.jclepro.2019.119351

Cited by 28 publications

(9 citation statements)

References 67 publications

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“…The performance of a biotrickling filter (BTF), which is most frequently used for treating H 2 S contaminated gases, strongly depends on the operating conditions (Table 3). An anoxic BTF system inoculated with Paracoccus versutus strain MAL 1HM19 achieved a maximum elimination capacity (EC max ) of ~16 and 120 g m −3 h −1 under steady‐state and transient‐state operation, respectively, at an EBRT of 180 s 40 . A similar BTF system dominated by Thiobacillus sp.…”

Section: Discussionmentioning

confidence: 99%

Biological removal of gas‐phase H₂S in hollow fibre membrane bioreactors

Das

Ravishankar

Lens

2021

J of Chemical Tech & Biotech

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BACKGROUND Hydrogen sulphide (H2S) must be treated at its emission source to avoid health risks, odour, and corrosion. Conventional physico‐chemical H2S removal technologies (for example, membrane contactors or chemical scrubbers) have several limitations, such as requiring high amounts of absorption chemicals and energy. In contrast, biological H2S removal technologies are environment friendly, easy to operate, and less expensive due to their low energy requirements. In this study, the feasibility of a porous hydrophilic polyethersulfone hollow fibre membrane bioreactor (HFMB) was tested for the biological removal of gas‐phase H2S by employing three lab‐scale reactors (two biotic and one abiotic). The HFMBs were operated at ~20 °C for ~3 months, employing different H2S inlet loading rates (ILR) and an empty bed residence time of 187 s. RESULTS Biotic performance of the HFMBs demonstrated that the removal efficiency (RE) varied between the different inocula and was in the range of 80–100% for the applied H2S ILR of ~5.0–7.5 g m−3 h−1. The RE reached a constant value of ~100% in both biotic reactors at an ILR of ~17.0 g m−3 h−1 when using acclimatized inoculum. The biotic HFMBs demonstrated ~5–9 times higher H2S flux and ~ 20–26 times higher mass transfer compared to the abiotic control. Surface morphology revealed attached microbial growth on the outer surface of the membranes, while the high throughput sequencing confirmed the richness of H2S oxidizing microbial communities on the shell side. CONCLUSION The obtained results confirm that the HFMB configuration is suitable for biological treatment of H2S laden waste gas. © 2021 Society of Chemical Industry (SCI).

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Section: Discussionmentioning

confidence: 99%

Biological removal of gas‐phase H₂S in hollow fibre membrane bioreactors

Das

Ravishankar

Lens

2021

J of Chemical Tech & Biotech

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“…When 90% of data were in the training set, it was observed that ANN predicted technology has received were closer to empirically measured values [10]. The biological elimination of hydrogen sulphide from a biogas mimic (pH 7.0) was investigated for 189 days in an anoxic biological trickling filter and forecasted utilizing artificial neural networks (ANNs) [11]. Using an artificial neural network, study the production of biogas through anaerobic digestion of solid-phase kitchen food waste.…”

Section: Introductionmentioning

confidence: 92%

Optimization and Prediction of Daily Methane Production for Food Waste By using The Artificial Neural Network (ANN)

A.Radhi¹,

Hussien²,

Faraj³

2021

JUSST

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This study aimed to know how a neural network model can be used to predict the behaviour of particular methane production using a three-layer (3:12:1) feed forward back-propagation algorithm and the logsig-purelin transfer function to maximize maximum methane prediction. The artificial neural network performs admirably compared to the daily methane generation of (vegetable waste 5%, lipids 12.5%, meat residues 12.5%, cow dung 10% and water 60%) at various temperatures (19–30 °C) for 64 days. Among the three input variables (feedstock, temperature, and time), feedstock has the strongest correlation with the particular methane production value. Thus, the research validates the ANN model’s ability to anticipate the biogas production curve’s behaviour and forecast the optimal substrate temperature for maximum biogas production. The regression value(R) for the digester was 0.95769. The capability of ANN modelling acts as a preliminary draft and significantly lowers the time required for methane generation in-line control. The daily methane production was predicted at three temperatures (20, 25, and 30 oC) for 75 days, and it found out the best temperature reaction was 30 oC.

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“…Watsuntorn et al 2017isolated the new strain Paracoccus versutus MAL 1HM19 (GC%: 67.6) from the Mae Um Long Luang hot spring (Thailand). It simultaneously converts H 2 S and NO 3 − to SO 4 2and N 2 at 25°C (Watsuntorn et al, 2020a).…”

Section: Other Sulfur-oxidizing and Nitrate-utilizing Microorganismsmentioning

confidence: 99%

Interactions of the sulfur and nitrogen cycles: microbiology and process technology

Chazal¹,

Lens²

2020

Environmental Technologies to Treat Sulphur Pollution: Principles and Engineering

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Microorganisms play a key role in the biogeochemical cycling of numerous elements. This is particularly the case for the elements of living biomass such as carbon, hydrogen, oxygen, nitrogen, sulfur and phosphorus. When studying these cycles, the interactions between the different elements are of utmost importance. This chapter describes the interactions between the sulfur and nitrogen cycles, with particular attention paid to processes allowing nitrogen removal from polluted environments using sulfur cycle conversions. 13.1.1 The nitrogen cycle The nitrogen cycle largely depends on microbial activities (Figure 13.1). Gaseous N 2 from the air is reduced in soil or water to ammonium by bacterial nitrogen fixationstep (1) in Figure 13.1. These bacteria possess the Nif genes that code for a specialized enzyme, nitrogenase, which catalyzes this N 2 reduction under well-defined conditions. In soil, it is present in free-living microorganisms such as Azotobacter sp. and Klebsiella sp. or in symbiotic bacteria such as Rhizobium sp. growing in association with plants. Nitrogen fixation also occurs in aquatic habitats by Cyanobacteria. Ammonium thus formed is incorporated into organic

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Resilient performance of an anoxic biotrickling filter for hydrogen sulphide removal from a biogas mimic: Steady, transient state and neural network evaluation

Cited by 28 publications

References 67 publications

Biological removal of gas‐phase H₂S in hollow fibre membrane bioreactors

Biological removal of gas‐phase H₂S in hollow fibre membrane bioreactors

Optimization and Prediction of Daily Methane Production for Food Waste By using The Artificial Neural Network (ANN)

Interactions of the sulfur and nitrogen cycles: microbiology and process technology

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Resilient performance of an anoxic biotrickling filter for hydrogen sulphide removal from a biogas mimic: Steady, transient state and neural network evaluation

Cited by 28 publications

References 67 publications

Biological removal of gas‐phase H2S in hollow fibre membrane bioreactors

Biological removal of gas‐phase H2S in hollow fibre membrane bioreactors

Optimization and Prediction of Daily Methane Production for Food Waste By using The Artificial Neural Network (ANN)

Interactions of the sulfur and nitrogen cycles: microbiology and process technology

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Product

Resources

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Biological removal of gas‐phase H₂S in hollow fibre membrane bioreactors

Biological removal of gas‐phase H₂S in hollow fibre membrane bioreactors