Development of novel computational models based on artificial intelligence technique to predict liquids mixtures separation via vacuum membrane distillation DOI Creative Commons

Yanfen Wei

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 15, 2024

The fundamental objective of this paper is to use Machine Learning (ML) methods for building models on temperature (T) prediction using input features r and z a membrane separation process. A hybrid model was developed based computational fluid dynamics (CFD) simulate the process integrate results into machine learning models. CFD simulations were performed estimate distribution in vacuum distillation (VMD) liquid mixtures. evaluated ML include Support Vector (SVM), Elastic Net Regression (ENR), Extremely Randomized Trees (ERT), Bayesian Ridge (BRR). Performance improved Differential Evolution (DE) hyper-parameter tuning, validation Monte Carlo Cross-Validation. clearly indicated models' effectiveness prediction, with SVM outperforming other terms accuracy. had mean R

Language: Английский

Organic fouling in membrane distillation caused by biopolymers and humic substances: Role of cation types DOI

Yuchuan Meng,

Ran An,

Qiao Zhong

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 355, P. 129476 - 129476

Published: Sept. 6, 2024

Language: Английский

Citations

4

Membrane distillation for the treatment and recovery of nutrients and colored compounds from wastewaters: fundamentals, modeling, and applications DOI

Mourad Laqbaqbi,

Tarik Eljaddi, M. Khayet

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 157 - 185

Published: Jan. 1, 2025

Language: Английский

Citations

0

Unraveling the impact of uneven wetting induced by temperature distribution on wetting restoration by water flushing DOI
Lu Xiao,

Jiahao Mo,

Yang Yang

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 132268 - 132268

Published: Feb. 1, 2025

Language: Английский

Citations

0

Sustainable Ammonia Recovery in Electrochemical Membranes: The Critical Role of Electromigration DOI Creative Commons
Siyao Qi, Wen Zhang, Guy Z. Ramon

et al.

Journal of Membrane Science, Journal Year: 2025, Volume and Issue: unknown, P. 124018 - 124018

Published: March 1, 2025

Language: Английский

Citations

0

Nanofilament-Coated Membranes with Enhanced Scaling and Biofouling Resistance for Membrane Distillation DOI Creative Commons
Mariana D. Sosa, Ivana K. Levy, Hans‐Jürgen Butt

et al.

ACS Applied Materials & Interfaces, Journal Year: 2025, Volume and Issue: unknown

Published: April 15, 2025

Membrane distillation (MD) for water treatment can be applied in high salinity conditions and of wastewater. Current commercial membranes are made fluorinated polymers such as polytetrafluoroethylene (PTFE). Here, porous were coated with a silicone nanofilament layer to obtain superhydrophobic fluorine-free material. The classical coating procedure involves the use toluene solvent. In this work, n-heptane was tested less toxic alternative. Different substrates coating. effect acids, scaling solutions, biofilm formation analyzed comparison standard PTFE membranes. We demonstrate that nanofilament-coated poly(ether sulfone) (NF-PES) possess required antiwetting properties MD. Moreover, NF-PES have static contact angles between 10 20° higher than after immersion tests solutions containing substances, grows from 20 50%, PTFE.

Language: Английский

Citations

0

Isothermal membrane distillation using omniphobic membranes for enhanced ammonia recovery from anaerobic digestion sludge leachate DOI
H.S. Kim, Daeho Lee,

Songbok Lee

et al.

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 133282 - 133282

Published: April 1, 2025

Language: Английский

Citations

0

Ammoniacal nitrogen recovery from swine slurry using a gas-permeable membrane: pH control strategies and feed-to-trapping volume ratio DOI Creative Commons

Andreu Serra-Toro,

Yasmina Ben Hammou Abboud,

Maria Alicia Cardete-Garcia

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 20, 2024

Abstract Gas-permeable membrane (GPM) technology is gaining interest to recover nitrogen from residual effluents due its effectiveness, simple operation and capacity of producing a nutrient rich product with fertilising value. In this study, GPM contactor was used at 25 °C total ammoniacal (TAN) swine slurry as concentrated (NH 4 ) 2 SO solution. Firstly, synthetic solution tested on wide pH range (6–12). Results showed that the ammonia mass transfer constants ( K m increased 7.9·10 −9 1.2·10 −6 m/s increased. The reagent consumption control per mole recovered had minimum 9, which value 3.0·10 −7 m/s. Secondly, various strategies were using slurry, including (i) no control, (ii) 8.5, 9.0 10.0, (iii) an initial spike NaOH equivalent required 9. test without reached TAN recovery around 60%, could be interesting strategy when high recoveries or short operating times are not required. 9 stood out most favourable condition lower consumption. Thirdly, several feed-to-trapping volume ratios ranging 1:1 15:1 These assays revealed process ratio fastens 99% purity containing 40 g N/L.

Language: Английский

Citations

3

Gravity-driven membrane integrated with membrane distillation for efficient shale gas produced water treatment DOI

Zhengxuan Ji,

Jiaxuan Wang, Zhongsen Yan

et al.

Water Research, Journal Year: 2024, Volume and Issue: 266, P. 122332 - 122332

Published: Aug. 25, 2024

Language: Английский

Citations

3

Ultrahigh-purity ammonia recovery from synthetic coke wastewater via membrane contactor: Overcoming phenolic interference and assessing cost efficiency.1 DOI
Tae‐Hun Kim, Đức Anh Nguyễn, Am Jang

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 263, P. 119981 - 119981

Published: Sept. 11, 2024

Language: Английский

Citations

3

Fertilizer-driven FO and MD integrated process for shale gas produced water treatment: Draw solution evaluation and PAC enhancement DOI
Haiqing Chang,

Zeren Ma,

Dan Qu

et al.

Water Research, Journal Year: 2024, Volume and Issue: 266, P. 122434 - 122434

Published: Sept. 12, 2024

Language: Английский

Citations

2