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Review of analytical and numerical modeling for pressure retarded osmosis membrane systems

Over the past two decades, pressure retarded osmosis (PRO) has attracted attention owing to its capability to harvest energy from salinity difference. However, more efforts for optimizing PRO processes using simulation models are only seen since 2010s. These main simulation models can be categorized...

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Main Author: Y. Y., Liang
Format: Article
Language:English
English
Published: Elsevier B.V. 2023
Subjects:
QD Chemistry
T Technology (General)
TA Engineering (General). Civil engineering (General)
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/38842/1/Review%20of%20analytical%20and%20numerical%20modeling%20for%20pressure%20retarded%20osmosis.pdf
http://umpir.ump.edu.my/id/eprint/38842/2/Review%20of%20analytical%20and%20numerical%20modeling%20for%20pressure%20retarded%20osmosis%20membrane%20systems_ABS.pdf
http://umpir.ump.edu.my/id/eprint/38842/
https://doi.org/10.1016/j.desal.2023.116655
https://doi.org/10.1016/j.desal.2023.116655
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spelling my.ump.umpir.388422023-10-31T07:55:46Z http://umpir.ump.edu.my/id/eprint/38842/ Review of analytical and numerical modeling for pressure retarded osmosis membrane systems Y. Y., Liang QD Chemistry T Technology (General) TA Engineering (General). Civil engineering (General) TP Chemical technology Over the past two decades, pressure retarded osmosis (PRO) has attracted attention owing to its capability to harvest energy from salinity difference. However, more efforts for optimizing PRO processes using simulation models are only seen since 2010s. These main simulation models can be categorized into analytical and numerical (i.e., CFD) models. Mathematical simulation of a complex PRO process is important as it allows user to gain knowledge required for an efficient system analysis and improvement. Furthermore, an advancement in computer simulation could lead to breakthrough ideas of the PRO technology. Despite this, there is no constructive review highlighting the applicability and shortfalls of these two models. The present paper not only provides a critical review of the methodology and assumptions of the mathematical model, but also includes the current state of the art of the modeling application. Areas for further research prospects are suggested. Furthermore, a multi-scale modeling approach that integrates both CFD model at sub-millimeter scale and system-level model (analytical) at meter scale to describe the PRO full-scale performance is proposed. Elsevier B.V. 2023-08-15 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38842/1/Review%20of%20analytical%20and%20numerical%20modeling%20for%20pressure%20retarded%20osmosis.pdf pdf en http://umpir.ump.edu.my/id/eprint/38842/2/Review%20of%20analytical%20and%20numerical%20modeling%20for%20pressure%20retarded%20osmosis%20membrane%20systems_ABS.pdf Y. Y., Liang (2023) Review of analytical and numerical modeling for pressure retarded osmosis membrane systems. Desalination, 560 (116655). pp. 1-16. ISSN 0011-9164. (Published) https://doi.org/10.1016/j.desal.2023.116655 https://doi.org/10.1016/j.desal.2023.116655
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic QD Chemistry
T Technology (General)
TA Engineering (General). Civil engineering (General)
TP Chemical technology
spellingShingle QD Chemistry
T Technology (General)
TA Engineering (General). Civil engineering (General)
TP Chemical technology
Y. Y., Liang
Review of analytical and numerical modeling for pressure retarded osmosis membrane systems
description Over the past two decades, pressure retarded osmosis (PRO) has attracted attention owing to its capability to harvest energy from salinity difference. However, more efforts for optimizing PRO processes using simulation models are only seen since 2010s. These main simulation models can be categorized into analytical and numerical (i.e., CFD) models. Mathematical simulation of a complex PRO process is important as it allows user to gain knowledge required for an efficient system analysis and improvement. Furthermore, an advancement in computer simulation could lead to breakthrough ideas of the PRO technology. Despite this, there is no constructive review highlighting the applicability and shortfalls of these two models. The present paper not only provides a critical review of the methodology and assumptions of the mathematical model, but also includes the current state of the art of the modeling application. Areas for further research prospects are suggested. Furthermore, a multi-scale modeling approach that integrates both CFD model at sub-millimeter scale and system-level model (analytical) at meter scale to describe the PRO full-scale performance is proposed.
format Article
author Y. Y., Liang
author_facet Y. Y., Liang
author_sort Y. Y., Liang
title Review of analytical and numerical modeling for pressure retarded osmosis membrane systems
title_short Review of analytical and numerical modeling for pressure retarded osmosis membrane systems
title_full Review of analytical and numerical modeling for pressure retarded osmosis membrane systems
title_fullStr Review of analytical and numerical modeling for pressure retarded osmosis membrane systems
title_full_unstemmed Review of analytical and numerical modeling for pressure retarded osmosis membrane systems
title_sort review of analytical and numerical modeling for pressure retarded osmosis membrane systems
publisher Elsevier B.V.
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/38842/1/Review%20of%20analytical%20and%20numerical%20modeling%20for%20pressure%20retarded%20osmosis.pdf
http://umpir.ump.edu.my/id/eprint/38842/2/Review%20of%20analytical%20and%20numerical%20modeling%20for%20pressure%20retarded%20osmosis%20membrane%20systems_ABS.pdf
http://umpir.ump.edu.my/id/eprint/38842/
https://doi.org/10.1016/j.desal.2023.116655
https://doi.org/10.1016/j.desal.2023.116655
_version_ 1822923762860818432
score 13.235362

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