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Short Review on Predicting Fouling in RO Desalination

Reverse Osmosis (RO) membrane fouling is one of the main challenges that membrane manufactures, the scientific community and industry professionals have to deal with. The consequences of this inevitable phenomenon have a negative effect on the performance of the desalination system. Predicting fouli...

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Autores principales: Ruiz-García, Alejandro, Melián-Martel, Noemi, Nuez, Ignacio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746821/
https://www.ncbi.nlm.nih.gov/pubmed/29064433
http://dx.doi.org/10.3390/membranes7040062
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author Ruiz-García, Alejandro
Melián-Martel, Noemi
Nuez, Ignacio
author_facet Ruiz-García, Alejandro
Melián-Martel, Noemi
Nuez, Ignacio
author_sort Ruiz-García, Alejandro
collection PubMed
description Reverse Osmosis (RO) membrane fouling is one of the main challenges that membrane manufactures, the scientific community and industry professionals have to deal with. The consequences of this inevitable phenomenon have a negative effect on the performance of the desalination system. Predicting fouling in RO systems is key to evaluating the long-term operating conditions and costs. Much research has been done on fouling indices, methods, techniques and prediction models to estimate the influence of fouling on the performance of RO systems. This paper offers a short review evaluating the state of industry knowledge in the development of fouling indices and models in membrane systems for desalination in terms of use and applicability. Despite major efforts in this field, there are gaps in terms of effective methods and models for the estimation of fouling in full-scale RO desalination plants. In existing models applied to full-scale RO desalination plants, neither the spacer geometry of membranes, nor the efficiency and frequency of chemical cleanings are considered.
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spelling pubmed-57468212018-01-03 Short Review on Predicting Fouling in RO Desalination Ruiz-García, Alejandro Melián-Martel, Noemi Nuez, Ignacio Membranes (Basel) Review Reverse Osmosis (RO) membrane fouling is one of the main challenges that membrane manufactures, the scientific community and industry professionals have to deal with. The consequences of this inevitable phenomenon have a negative effect on the performance of the desalination system. Predicting fouling in RO systems is key to evaluating the long-term operating conditions and costs. Much research has been done on fouling indices, methods, techniques and prediction models to estimate the influence of fouling on the performance of RO systems. This paper offers a short review evaluating the state of industry knowledge in the development of fouling indices and models in membrane systems for desalination in terms of use and applicability. Despite major efforts in this field, there are gaps in terms of effective methods and models for the estimation of fouling in full-scale RO desalination plants. In existing models applied to full-scale RO desalination plants, neither the spacer geometry of membranes, nor the efficiency and frequency of chemical cleanings are considered. MDPI 2017-10-24 /pmc/articles/PMC5746821/ /pubmed/29064433 http://dx.doi.org/10.3390/membranes7040062 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ruiz-García, Alejandro
Melián-Martel, Noemi
Nuez, Ignacio
Short Review on Predicting Fouling in RO Desalination
title Short Review on Predicting Fouling in RO Desalination
title_full Short Review on Predicting Fouling in RO Desalination
title_fullStr Short Review on Predicting Fouling in RO Desalination
title_full_unstemmed Short Review on Predicting Fouling in RO Desalination
title_short Short Review on Predicting Fouling in RO Desalination
title_sort short review on predicting fouling in ro desalination
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746821/
https://www.ncbi.nlm.nih.gov/pubmed/29064433
http://dx.doi.org/10.3390/membranes7040062
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