Modeling and Structural Optimization of MSF-RO Desalination System

Based on the mathematical modeling and operational optimization studies of reverse osmosis (RO) and multistage flash (MSF) desalination, the structural optimization of the hybrid process was specially studied in this work with the consideration of reducing comprehensive expenses under given operatio...

Full description

Bibliographic Details
Main Authors: Lu He, Aipeng Jiang, Qiuyun Huang, Yan Zhao, Chuang Li, Jian Wang, Yudong Xia
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Membranes
Subjects:
Online Access:https://www.mdpi.com/2077-0375/12/6/545
_version_ 1827658545846288384
author Lu He
Aipeng Jiang
Qiuyun Huang
Yan Zhao
Chuang Li
Jian Wang
Yudong Xia
author_facet Lu He
Aipeng Jiang
Qiuyun Huang
Yan Zhao
Chuang Li
Jian Wang
Yudong Xia
author_sort Lu He
collection DOAJ
description Based on the mathematical modeling and operational optimization studies of reverse osmosis (RO) and multistage flash (MSF) desalination, the structural optimization of the hybrid process was specially studied in this work with the consideration of reducing comprehensive expenses under given operational conditions. Firstly, according to the process mechanism and flowchart of the RO and MSF seawater desalination technologies, seven hybrid structures with different feed conditions were designed, and their connection equations were established for numerical calculation. Then, in order to evaluate the economic performance of the hybrid systems with different structures, the hourly average operational cost equations of RO and MSF processes were established and formulated as the comprehensive evaluation indicators. Next, with a given water production requirement, simulation calculations of the hybrid system with seven different structures were performed. The results show that the hybrid system with the fourth structure has the lowest operational cost of 4.6834 CNY/m<sup>3</sup>, and at the same time it has the lowest blowdown. However, if we take GOR or production water temperature as the target, the optimal structure of the hybrid system is the fifth or the seventh option. The obtained results are helpful in structural optimization of the hybrid system with aspects of operational cost reduction, maximum GOR, or minimizing the wastewater discharge.
first_indexed 2024-03-09T23:06:11Z
format Article
id doaj.art-b9eab4649d934fa19a9124896da80727
institution Directory Open Access Journal
issn 2077-0375
language English
last_indexed 2024-03-09T23:06:11Z
publishDate 2022-05-01
publisher MDPI AG
record_format Article
series Membranes
spelling doaj.art-b9eab4649d934fa19a9124896da807272023-11-23T17:53:40ZengMDPI AGMembranes2077-03752022-05-0112654510.3390/membranes12060545Modeling and Structural Optimization of MSF-RO Desalination SystemLu He0Aipeng Jiang1Qiuyun Huang2Yan Zhao3Chuang Li4Jian Wang5Yudong Xia6School of Automation, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, ChinaChn Energy Lucency Enviro-Tech Co., Ltd., Beijing 100039, ChinaSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, ChinaSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, ChinaBased on the mathematical modeling and operational optimization studies of reverse osmosis (RO) and multistage flash (MSF) desalination, the structural optimization of the hybrid process was specially studied in this work with the consideration of reducing comprehensive expenses under given operational conditions. Firstly, according to the process mechanism and flowchart of the RO and MSF seawater desalination technologies, seven hybrid structures with different feed conditions were designed, and their connection equations were established for numerical calculation. Then, in order to evaluate the economic performance of the hybrid systems with different structures, the hourly average operational cost equations of RO and MSF processes were established and formulated as the comprehensive evaluation indicators. Next, with a given water production requirement, simulation calculations of the hybrid system with seven different structures were performed. The results show that the hybrid system with the fourth structure has the lowest operational cost of 4.6834 CNY/m<sup>3</sup>, and at the same time it has the lowest blowdown. However, if we take GOR or production water temperature as the target, the optimal structure of the hybrid system is the fifth or the seventh option. The obtained results are helpful in structural optimization of the hybrid system with aspects of operational cost reduction, maximum GOR, or minimizing the wastewater discharge.https://www.mdpi.com/2077-0375/12/6/545desalinationMSFROoperational costmodelingsimulation
spellingShingle Lu He
Aipeng Jiang
Qiuyun Huang
Yan Zhao
Chuang Li
Jian Wang
Yudong Xia
Modeling and Structural Optimization of MSF-RO Desalination System
Membranes
desalination
MSF
RO
operational cost
modeling
simulation
title Modeling and Structural Optimization of MSF-RO Desalination System
title_full Modeling and Structural Optimization of MSF-RO Desalination System
title_fullStr Modeling and Structural Optimization of MSF-RO Desalination System
title_full_unstemmed Modeling and Structural Optimization of MSF-RO Desalination System
title_short Modeling and Structural Optimization of MSF-RO Desalination System
title_sort modeling and structural optimization of msf ro desalination system
topic desalination
MSF
RO
operational cost
modeling
simulation
url https://www.mdpi.com/2077-0375/12/6/545
work_keys_str_mv AT luhe modelingandstructuraloptimizationofmsfrodesalinationsystem
AT aipengjiang modelingandstructuraloptimizationofmsfrodesalinationsystem
AT qiuyunhuang modelingandstructuraloptimizationofmsfrodesalinationsystem
AT yanzhao modelingandstructuraloptimizationofmsfrodesalinationsystem
AT chuangli modelingandstructuraloptimizationofmsfrodesalinationsystem
AT jianwang modelingandstructuraloptimizationofmsfrodesalinationsystem
AT yudongxia modelingandstructuraloptimizationofmsfrodesalinationsystem