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Title:Modeling and multi-objective optimization of forward osmosis process
Authors:ID Kegl, Tina (Author)
ID Korenak, Jasmina (Author)
ID Bukšek, Hermina (Author)
ID Petrinić, Irena (Author)
Files:.pdf 1-s2.0-S0011916424002613-main.pdf (12,72 MB)
MD5: 2906DC7F4876736A61617D3B0F8FD404
 
URL https://www.sciencedirect.com/science/article/pii/S0011916424002613?via%3Dihub
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FKKT - Faculty of Chemistry and Chemical Engineering
Abstract:In order to ensure efficient wastewater treatment and seawater desalination, adequate modeling and optimization of the forward osmosis (FO) process has the potential to be very helpful. This paper deals with the FO model parameters calibration and FO process optimization by a gradient-based optimization method. For this purpose, an upgraded FO model, which involves temperature- and agent-dependent parameters, was developed. The FO model calibration was done using NaCl as agents in draw solution, while MgCl2 was used for model validation. The agreements between simulated and measured FO performance were satisfactory; relative index of agreement are higher than 0.99. By using the proposed FO model, the optimization of FO process conditions was performed with various definitions of the objective and constraint functions. In case of maximizing the water flux, minimizing reverse solute flux, and fulfilling the required constraints, the ratio of water flux and reverse solute flux increased up to 40 % for NaCl and up to 20 % for MgCl2; meanwhile the effective osmotic pressure difference was improved 2-times for NaCl and up to 3.8-times for MgCl2. The optimization process proved to be stable and efficient and can easily be adapted or upgraded for more complex dynamic FO modeling.
Keywords:forward osmosis, modeling, model and process parameters, calibration procedure, gadient-based optimization
Publication status:Published
Publication version:Version of Record
Submitted for review:04.11.2023
Article acceptance date:17.03.2024
Publication date:20.03.2024
Publisher:Elsevier
Year of publishing:2024
Number of pages:43 str.
Numbering:Vol. 580, [article no.] 117550
PID:20.500.12556/DKUM-87777 New window
UDC:628.3
ISSN on article:1873-4464
COBISS.SI-ID:190660099 New window
DOI:10.1016/j.desal.2024.117550 New window
Copyright:© 2024 The Authors
Publication date in DKUM:23.08.2024
Views:67
Downloads:36
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Desalination
Publisher:Elsevier Science
ISSN:1873-4464
COBISS.SI-ID:175348739 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0414-2022
Name:Procesna sistemska tehnika in trajnostni razvoj

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0032-2020
Name:Procesna sistemska tehnika in trajnostni razvoj

Funder:Other - Other funder or multiple funders
Funding programme:Novo Nordisk Foundation
Project number:NNF18OC0034918
Acronym:NEPWAT

Funder:Other - Other funder or multiple funders
Funding programme:L'Oréal-UNESCO, Slovenia
Name:“For Women in Science 2022”

Funder:Other - Other funder or multiple funders
Funding programme:World Federation of Scientists (WFS)
Name:World Federation of Scientists for the year 2023/2024

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:povratna osmoza, modeliranje, procesni parametri, kalibracija, optimizacija


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