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Mathematical and optimization modelling in desalination: State-of-the-art and future direction

Farah Ejaz Ahmed, Raed Hashaikeh, Ali Diabat, Nidal Hilal

Desalination, Volume: 469, Start page: 114092

Swansea University Author: Nidal Hilal

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DOI (Published version): 10.1016/j.desal.2019.114092

Abstract

The growing water demand across the world necessitates the need for new and improved processes as well as for a better understanding of existing processes. This level of understanding includes predicting system performance in scenarios that cannot always be evaluated experimentally. Mathematical mod...

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Published in: Desalination
ISSN: 0011-9164
Published: 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa51176
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first_indexed 2019-07-24T16:01:32Z
last_indexed 2019-08-09T16:31:32Z
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spelling 2019-08-06T16:36:47.0298267 v2 51176 2019-07-24 Mathematical and optimization modelling in desalination: State-of-the-art and future direction 3acba771241d878c8e35ff464aec0342 Nidal Hilal Nidal Hilal true false 2019-07-24 FGSEN The growing water demand across the world necessitates the need for new and improved processes as well as for a better understanding of existing processes. This level of understanding includes predicting system performance in scenarios that cannot always be evaluated experimentally. Mathematical modelling is a crucial component of designing new and improved engineering processes. Through mathematically modelling real life systems, we gain a deeper understanding of processes while being able to predict performance more effectively. Advances in computational capacity and the ease of assessing systems allow researchers to study the feasibility of various systems. Mathematical modelling studies enable optimization performance parameters while minimizing energy requirements and, as such, have been an active area of research in desalination. In this review, the most recent developments in mathematical and optimization modelling in desalination are discussed with respect to transport phenomena, energy consumption, fouling predictions, and the integration of multiple scaling evolution on heat transfer surfaces has been reviewed. Similarly, developments in optimization of novel reverse osmosis (RO) configurations have been analyzed from an energy consumption perspective. Transport models for membrane-based desalination processes, including relatively less understood processes such as nanofiltration and forward osmosis are presented, with recent modifications to allow for different solutes and solutions. Mathematical modelling of hybrid systems integrated with RO has also been reviewed. A survey of the literature shows that mathematical and optimization modelling of desalination processes is an exciting area for researchers in which future scholarship includes coupling of renewable energy systems with desalination technologies, as well as more advanced descriptions of fouling evolution other than that of cake filtration in membrane-based processes. Journal Article Desalination 469 114092 0011-9164 modelling, optimization, desalination, reverse osmosis, water treatment 1 11 2019 2019-11-01 10.1016/j.desal.2019.114092 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2019-08-06T16:36:47.0298267 2019-07-24T14:13:21.4780335 Farah Ejaz Ahmed 1 Raed Hashaikeh 2 Ali Diabat 3 Nidal Hilal 4 51176__14856__18ee963b6550466c8f4f961e32322f44.pdf 51176.pdf 2019-08-06T16:31:25.5570000 Output 3078126 application/pdf Accepted Manuscript true 2020-08-03T00:00:00.0000000 Released under the terms of a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND). true eng
title Mathematical and optimization modelling in desalination: State-of-the-art and future direction
spellingShingle Mathematical and optimization modelling in desalination: State-of-the-art and future direction
Nidal Hilal
title_short Mathematical and optimization modelling in desalination: State-of-the-art and future direction
title_full Mathematical and optimization modelling in desalination: State-of-the-art and future direction
title_fullStr Mathematical and optimization modelling in desalination: State-of-the-art and future direction
title_full_unstemmed Mathematical and optimization modelling in desalination: State-of-the-art and future direction
title_sort Mathematical and optimization modelling in desalination: State-of-the-art and future direction
author_id_str_mv 3acba771241d878c8e35ff464aec0342
author_id_fullname_str_mv 3acba771241d878c8e35ff464aec0342_***_Nidal Hilal
author Nidal Hilal
author2 Farah Ejaz Ahmed
Raed Hashaikeh
Ali Diabat
Nidal Hilal
format Journal article
container_title Desalination
container_volume 469
container_start_page 114092
publishDate 2019
institution Swansea University
issn 0011-9164
doi_str_mv 10.1016/j.desal.2019.114092
document_store_str 1
active_str 0
description The growing water demand across the world necessitates the need for new and improved processes as well as for a better understanding of existing processes. This level of understanding includes predicting system performance in scenarios that cannot always be evaluated experimentally. Mathematical modelling is a crucial component of designing new and improved engineering processes. Through mathematically modelling real life systems, we gain a deeper understanding of processes while being able to predict performance more effectively. Advances in computational capacity and the ease of assessing systems allow researchers to study the feasibility of various systems. Mathematical modelling studies enable optimization performance parameters while minimizing energy requirements and, as such, have been an active area of research in desalination. In this review, the most recent developments in mathematical and optimization modelling in desalination are discussed with respect to transport phenomena, energy consumption, fouling predictions, and the integration of multiple scaling evolution on heat transfer surfaces has been reviewed. Similarly, developments in optimization of novel reverse osmosis (RO) configurations have been analyzed from an energy consumption perspective. Transport models for membrane-based desalination processes, including relatively less understood processes such as nanofiltration and forward osmosis are presented, with recent modifications to allow for different solutes and solutions. Mathematical modelling of hybrid systems integrated with RO has also been reviewed. A survey of the literature shows that mathematical and optimization modelling of desalination processes is an exciting area for researchers in which future scholarship includes coupling of renewable energy systems with desalination technologies, as well as more advanced descriptions of fouling evolution other than that of cake filtration in membrane-based processes.
published_date 2019-11-01T04:02:58Z
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score 11.036684

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