Dual-objective optimization for energy-saving and fouling mitigation in MBR plants using AI-based influent prediction and an integrated biological-physical model

KJ Nam, SK Heo, GH Rhee, MJ Kim, CK Yoo - Journal of Membrane …, 2021 - Elsevier
Optimal operational strategies for wastewater treatment plants have been employed widely
to improve the economic and environmental operations. However, inadequate optimization …

Performance evaluation of whey flux in dead-end and cross-flow modes via convolutional neural networks

LT Yogarathinam, K Velswamy, A Gangasalam… - Journal of …, 2022 - Elsevier
Effluent originating from cheese production puts pressure onto environment due to its high
organic load. Therefore, the main objective of this work was to compare the influence of …

Improving control of membrane fouling on membrane bioreactors: A data-driven approach

AV Santos, ARA Lin, MCS Amaral… - Chemical Engineering …, 2021 - Elsevier
Despite the widespread application and plentiful benefits of membrane bioreactors (MBR),
this technology is constrained by membrane fouling, which is regarded as the most serious …

Artificial intelligence‐based process control in chemical, biochemical, and biomedical engineering

D Dutta, SR Upreti - The Canadian Journal of Chemical …, 2021 - Wiley Online Library
In the last three decades, artificial intelligence (AI) has been increasingly and vigorously
utilized for process control in chemical, biochemical, and biomedical engineering. These …

Colloidal fouling in electrodialysis: A neural differential equations model

B De Jaegher, E Larumbe, W De Schepper… - Separation and …, 2020 - Elsevier
The attachment of colloids to the ion-exchange membranes in electrodialysis is an important
hurdle when processing bio-based process streams. Previous research showed that fouling …

CFD-based genetic programming model for liquid entry pressure estimation of hydrophobic membranes

H Chamani, P Yazgan-Birgi, T Matsuura, D Rana… - Desalination, 2020 - Elsevier
Wetting phenomenon inside the pore is a significant obstacle hindering membrane
distillation (MD) from being fully industrialized. Herein, a new equation is provided for the …

Intelligent optimization strategy for electrochemical removal of ammonia nitrogen by neural network embedded in a non-dominated sorting genetic algorithm

Z Yang, P Chen, G Meng, X Zhang, Y Shi, W Fu… - Journal of Water …, 2023 - Elsevier
Electrochemical is a promising approach for the removal of ammonia nitrogen, but the
challenge is to achieve better performance under lower energy consumption. In this study, a …

[HTML][HTML] Hybrid modeling of a biorefinery separation process to monitor short-term and long-term membrane fouling

E Arnese-Feffin, P Facco, D Turati, F Bezzo… - Chemical Engineering …, 2024 - Elsevier
Membrane filtration is commonly used in biorefineries to separate cells from fermentation
broths containing the desired products. However, membrane fouling can cause short-term …

Designing a fault detection classifier framework for an industrial dynamic ultrafiltration membrane process using wavelet-based feature analysis

M Zadkarami, AA Safavi, KV Gernaey, P Ramin… - Process Safety and …, 2023 - Elsevier
In recent years, due to the increase in population and the number of industrial sites, water
reclaim has become more relevant. Dynamic membrane filtration systems can play an …

Nanoparticles formed in Fe (II)/KMnO4-catalyzed ozonation to alleviate ceramic membrane fouling and improve membrane rejection performance of humic acid

H He, N You, SH Deng, W Qiu, J Ma, OS Leong… - Journal of Cleaner …, 2024 - Elsevier
Abstract Fe (II)/KMnO 4 has been identified as a moderate oxidation system capable of
producing ferromanganese nanoparticles (NPs). However, previous studies on the catalytic …