Evaluating energy efficiency in anaerobic membrane bioreactors: Effect of filtration/backwash cycle duration on net energy balance

In this study, a dynamic model based on the AM2b anaerobic digestion framework was modified to simulate an anaerobic membrane bioreactor, including the return of detached biomass to the bioreactor bulk during physical backwashing. The identified model accurately captured the evolution of soluble microbial products, achieving a determination coefficient of 0.88, and its relevance was further confirmed through a post-operation characterization of the fouling layer, with relative errors between predicted and measured transmembrane pressures ranging from only 3.2% to 16.6% following refinement of fouling-related parameters. Then, the model was used to optimize the net energy balance (NEB) by simulating scenarios operated at filtration/backwash cycle durations (T<sub>cyc</sub>) ranging from 5 min to 8 h. Results indicate that while total energy consumption remains relatively stable, methane production and NEB are affected by cycle duration. Longer cycles result in decreased biogas recovery due to membrane fouling and reduced microbial activity. Although the permeate pump represents only 6% of total energy use, its contribution increases slightly with extended cycles. The NEB reaches its maximum at short cycles (5-10 min) and declines progressively, with losses of up to 9% at 8-hour cycles. These results underscore the critical role of T<sub>cyc</sub> optimization and the underlying attachment-detachment dynamics of the fouling layer.

Authors

Institutions

Publication Details

Journal
Bioresource Technology
Published
2026-02-15
DOI
https://doi.org/10.1016/j.biortech.2026.134229
Primary Topic
Membrane Separation Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating energy efficiency in anaerobic membrane bioreactors: Effect of filtration/backwash cycle duration on net energy balance

Geoffroy Lesage, J. Harmand, Farshid Pajoum Shariati, Aymen Chaaben et al.
Bioresource Technology
Membrane Separation Technologies
article

Evaluating energy efficiency in anaerobic membrane bioreactors: Effect of filtration/backwash cycle duration on net energy balance

Geoffroy Lesage, J. Harmand, Farshid Pajoum Shariati, Aymen Chaaben, Marc Héran
article en

Abstract

In this study, a dynamic model based on the AM2b anaerobic digestion framework was modified to simulate an anaerobic membrane bioreactor, including the return of detached biomass to the bioreactor bulk during physical backwashing. The identified model accurately captured the evolution of soluble microbial products, achieving a determination coefficient of 0.88, and its relevance was further confirmed through a post-operation characterization of the fouling layer, with relative errors between predicted and measured transmembrane pressures ranging from only 3.2% to 16.6% following refinement of fouling-related parameters. Then, the model was used to optimize the net energy balance (NEB) by simulating scenarios operated at filtration/backwash cycle durations (T<sub>cyc</sub>) ranging from 5 min to 8 h. Results indicate that while total energy consumption remains relatively stable, methane production and NEB are affected by cycle duration. Longer cycles result in decreased biogas recovery due to membrane fouling and reduced microbial activity. Although the permeate pump represents only 6% of total energy use, its contribution increases slightly with extended cycles. The NEB reaches its maximum at short cycles (5-10 min) and declines progressively, with losses of up to 9% at 8-hour cycles. These results underscore the critical role of T<sub>cyc</sub> optimization and the underlying attachment-detachment dynamics of the fouling layer.

Bioresource TechnologyVol. 447
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Laboratoire de Biotechnologie de l'Environnement (FR), Institut Européen des Membranes (FR)
Affordable and clean energy
Openalex Percentile: Top 57%
Membrane Separation Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.