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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM65513
Volume:
10 |
6 |
Jun 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Electrical and Electronics Engineering
Anna University Regional Campus Coimbatore
Department of Electrical and Electronics Engineering
Anna University Regional Campus Coimbatore
Department of Computer Science and Engineering
Anna University Regional Campus Coimbatore
Membrane bioreactors (MBRs) deliver superior effluent quality relative to conventional activated sludge processes by coupling biological treatment with membrane filtration, but membrane fouling remains the principal operational constraint limiting their wider adoption. This review synthesises mechanistic and data-driven fouling literature — resistance-in-series formulations, combined blocking-law models, and the activated sludge model (ASM) framework as adapted to MBR-specific biokinetics — alongside the parallel literature on machine-learning-based fouling prediction from operational sensor data. It then examines why the static, rule-based, and proportional–integral (PI) control strategies that govern the overwhelming majority of operating plants are structurally unable to anticipate fouling onset or compensate for fluctuating influent conditions, drawing on both international and Indian national literature. Particular attention is given to the Indian operating context, where real-time IoT-based monitoring infrastructure has matured considerably faster than the control logic needed to act on it, and where decentralised treatment plants face the most severe and least-buffered influent variability. The review concludes that the fouling-modelling and conventional-control literatures, considered together, establish a precise and well-evidenced case for advanced predictive and adaptive control as the necessary next step — a case this review deliberately frames as a problem statement, leaving the evaluation of specific predictive control technologies to dedicated subsequent treatments.
KEYWORDS
This review has examined membrane fouling mechanisms and their mechanistic and data-driven modelling, together with the documented limitations of the static and proportional–integral control strategies that govern the great majority of operating MBR and conventional activated sludge plants, with particular attention to the Indian national context. The central finding is one of asymmetry rather than absence: fouling science and fouling prediction are both comparatively mature, and real-time monitoring infrastructure — particularly in the Indian decentralised treatment sector — is likewise well developed, but no reviewed study closes the loop between these capabilities and an adaptive control response. This establishes a precise, evidence-based problem statement: any advanced control architecture proposed for MBR systems must be evaluated specifically against its ability to act on fouling predictions and monitoring data that already exist, rather than against any remaining deficiency in the underlying science. The comparative evaluation of specific candidate architectures capable of closing this loop is addressed in dedicated subsequent work
[1] Judd, S. The MBR Book: Principles and Applications of Membrane Bioreactors for Water and Wastewater Treatment. Elsevier, 2010. [2] Stephenson, T., Judd, S., Jefferson, B., Brindle, K. Membrane bioreactors for wastewater treatment: an overview. Water Science and Technology, 41(10–11), 123–130, 2000. [3] Kharraz, J., Khanzada, N., Farid, M., et al. Membrane distillation bioreactor (MDBR) for wastewater treatment, water reuse, and resource recovery: a review. Journal of Water Process Engineering, 2022. [4] Le-Clech, P., Chen, V., Fane, T.A.G. Fouling in membrane bioreactors used in wastewater treatment. Journal of Membrane Science, 284(1–2), 17–53, 2006. [5] Al-Sayed, A., Hassan, G.K., Al-Shemy, M.T., El-gohary, F.A. Effect of organic loading rates on the performance of membrane bioreactor for wastewater treatment behaviours, fouling, and economic cost. Scientific Reports, 13, 2023. [6] Decentralised and rule-based control practice in biological wastewater treatment — operational review context. (See also refs. [20]–[21].) [7] RGA analysis and decentralized control for a wastewater treatment plant. Research review on multivariable control interaction in biological treatment. [8] A Brief Review on the Resistance-in-Series Model in Membrane Bioreactors (MBRs). Membranes / PMC, 2019. [9] Homayoonfal, M., Hajhashemi, Z., Hajheidari, M., Rezaei, F., Nadali, M.S. Modeling and simulation-assisted strategies for effective membrane-fouling mitigation during membrane bioreactor operation. Heliyon, 10, e38953, 2024. [10] A Brief Review on the Resistance-in-Series Model in Membrane Bioreactors (MBRs). PMC, 6409801, 2019.
Publication Date
6/26/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
Funding Agency: CMRG
Grant / Project ID: 250509
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