Application of Machine Learning to Characterize the Permeate Quality in Pilot-Scale Vacuum-Assisted Air Gap Membrane Distillation Operation

Application of Machine Learning to Characterize the Permeate Quality in Pilot-Scale Vacuum-Assisted Air Gap Membrane Distillation Operation

Membrane distillation (MD) is a thermal desalination technique proposed for the valorization of residual brines that other operations such as reverse osmosis cannot treat. Previous studies have shown that vacuum-assisted air gap (V-AGMD) operation in commercial multi-envelope modules improves the pe...

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Bibliographic Details
Main Authors: Isabel Requena, Juan Antonio Andrés-Mañas, Juan Diego Gil, Guillermo Zaragoza
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Membranes
Subjects:
membrane distillation
brine treatment
experimental
zero-liquid discharge
machine learning
modeling
Online Access:https://www.mdpi.com/2077-0375/13/11/857

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