Energy production in anaerobic membrane bioreactors: Opportunities and challenges

Ngo, Huu Hao; Khan, Mohd Atiqueuzzaman; Guo, Wenshan; Liu, Yiwen; Zhang, Xinbo; Li, Jianxin; Wang, Jie

doi:10.1016/b978-0-12-819852-0.00013-0

Cited by 2 publications

(1 citation statement)

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“…Initial values were 50 mg/L of microorganisms in the feed and a COD inlet of 4000 mg/L, as established by Siegrist et al, 2002 [17]. The reactor volume (V) was 1 m 3 and the hydraulic retention time (HRT) was 12 h. For hydrogen production in AnMBRs, there is no standard value for solids retention time (SRT) in the current literature [29,30]. Thus, we selected a conservative SRT of 6 days as a starting point since some studies suggest SRT values higher than 15 days might decline H 2 production rates [31].…”

Section: Anmbr Setup and Operational Conditionsmentioning

confidence: 99%

A Mechanistic Model for Hydrogen Production in an AnMBR Treating High Strength Wastewater

Vera,

Feijoo,

Prieto

2023

Membranes

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In the global race to produce green hydrogen, wastewater-to-H2 is a sustainable alternative that remains unexploited. Efficient technologies for wastewater-to-H2 are still in their developmental stages, and urgent process intensification is required. In our study, a mechanistic model was developed to characterize hydrogen production in an AnMBR treating high-strength wastewater (COD > 1000 mg/L). Two aspects differentiate our model from existing literature: First, the model input is a multi-substrate wastewater that includes fractions of proteins, carbohydrates, and lipids. Second, the model integrates the ADM1 model with physical/biochemical processes that affect membrane performance (e.g., membrane fouling). The model includes mass balances of 27 variables in a transient state, where metabolites, extracellular polymeric substances, soluble microbial products, and surface membrane density were included. Model results showed the hydrogen production rate was higher when treating amino acids and sugar-rich influents, which is strongly related to higher EPS generation during the digestion of these metabolites. The highest H2 production rate for amino acid-rich influents was 6.1 LH2/L-d; for sugar-rich influents was 5.9 LH2/L-d; and for lipid-rich influents was 0.7 LH2/L-d. Modeled membrane fouling and backwashing cycles showed extreme behaviors for amino- and fatty-acid-rich substrates. Our model helps to identify operational constraints for H2 production in AnMBRs, providing a valuable tool for the design of fermentative/anaerobic MBR systems toward energy recovery.

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Section: Anmbr Setup and Operational Conditionsmentioning

confidence: 99%