Muhammad H. Elbassoussi , Omar G. Kaoud , Syed M. Zubair
{"title":"在单道反渗透脱盐系统中最小化能耗的无量纲方法","authors":"Muhammad H. Elbassoussi , Omar G. Kaoud , Syed M. Zubair","doi":"10.1016/j.watres.2025.123885","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents a dimensionless approach to optimizing energy efficiency in single-pass multi-membrane reverse osmosis (RO) desalination. Two new dimensionless performance indices—the Recovery Ratio Index (RRI) and the Permeate Salinity Index (PSI)—were introduced to ensure feasible system recovery (0.5 ≤ RRI ≤ 1) and acceptable permeate salinity (PSI ≤ 1). A sensitivity analysis identified the dimensionless membrane parameter (<span><math><msubsup><mi>S</mi><mrow><mi>a</mi></mrow><mo>*</mo></msubsup></math></span>) as the most influential factor affecting specific energy consumption, leading to its optimization under uniform and non-uniform distributions. For non-uniform cases, descending (higher <span><math><msubsup><mi>S</mi><mi>a</mi><mo>*</mo></msubsup></math></span> in early membranes) and ascending (higher <span><math><msubsup><mi>S</mi><mi>a</mi><mo>*</mo></msubsup></math></span> in later membranes) profiles were explored. The results showed that descending profiles maximize early-stage water recovery and improve efficiency for low-salinity feeds (≤ 10,000 ppm), while ascending profiles mitigate osmotic pressure buildup and enhance performance in high-salinity feeds (≥ 40,000 ppm). System size also influences the optimal strategy, with descending profiles being more effective in small systems and ascending or balanced distributions preferred in larger, multi-membrane setups. These findings provide practical design guidelines for tailoring single-pass RO configurations to feed salinity and system size.</div></div>","PeriodicalId":443,"journal":{"name":"Water Research","volume":"284 ","pages":"Article 123885"},"PeriodicalIF":11.4000,"publicationDate":"2025-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A dimensionless approach to minimizing energy consumption in single-pass reverse osmosis desalination systems\",\"authors\":\"Muhammad H. Elbassoussi , Omar G. Kaoud , Syed M. Zubair\",\"doi\":\"10.1016/j.watres.2025.123885\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study presents a dimensionless approach to optimizing energy efficiency in single-pass multi-membrane reverse osmosis (RO) desalination. Two new dimensionless performance indices—the Recovery Ratio Index (RRI) and the Permeate Salinity Index (PSI)—were introduced to ensure feasible system recovery (0.5 ≤ RRI ≤ 1) and acceptable permeate salinity (PSI ≤ 1). A sensitivity analysis identified the dimensionless membrane parameter (<span><math><msubsup><mi>S</mi><mrow><mi>a</mi></mrow><mo>*</mo></msubsup></math></span>) as the most influential factor affecting specific energy consumption, leading to its optimization under uniform and non-uniform distributions. For non-uniform cases, descending (higher <span><math><msubsup><mi>S</mi><mi>a</mi><mo>*</mo></msubsup></math></span> in early membranes) and ascending (higher <span><math><msubsup><mi>S</mi><mi>a</mi><mo>*</mo></msubsup></math></span> in later membranes) profiles were explored. The results showed that descending profiles maximize early-stage water recovery and improve efficiency for low-salinity feeds (≤ 10,000 ppm), while ascending profiles mitigate osmotic pressure buildup and enhance performance in high-salinity feeds (≥ 40,000 ppm). System size also influences the optimal strategy, with descending profiles being more effective in small systems and ascending or balanced distributions preferred in larger, multi-membrane setups. These findings provide practical design guidelines for tailoring single-pass RO configurations to feed salinity and system size.</div></div>\",\"PeriodicalId\":443,\"journal\":{\"name\":\"Water Research\",\"volume\":\"284 \",\"pages\":\"Article 123885\"},\"PeriodicalIF\":11.4000,\"publicationDate\":\"2025-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Water Research\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0043135425007936\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0043135425007936","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
A dimensionless approach to minimizing energy consumption in single-pass reverse osmosis desalination systems
This study presents a dimensionless approach to optimizing energy efficiency in single-pass multi-membrane reverse osmosis (RO) desalination. Two new dimensionless performance indices—the Recovery Ratio Index (RRI) and the Permeate Salinity Index (PSI)—were introduced to ensure feasible system recovery (0.5 ≤ RRI ≤ 1) and acceptable permeate salinity (PSI ≤ 1). A sensitivity analysis identified the dimensionless membrane parameter () as the most influential factor affecting specific energy consumption, leading to its optimization under uniform and non-uniform distributions. For non-uniform cases, descending (higher in early membranes) and ascending (higher in later membranes) profiles were explored. The results showed that descending profiles maximize early-stage water recovery and improve efficiency for low-salinity feeds (≤ 10,000 ppm), while ascending profiles mitigate osmotic pressure buildup and enhance performance in high-salinity feeds (≥ 40,000 ppm). System size also influences the optimal strategy, with descending profiles being more effective in small systems and ascending or balanced distributions preferred in larger, multi-membrane setups. These findings provide practical design guidelines for tailoring single-pass RO configurations to feed salinity and system size.
期刊介绍:
Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include:
•Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management;
•Urban hydrology including sewer systems, stormwater management, and green infrastructure;
•Drinking water treatment and distribution;
•Potable and non-potable water reuse;
•Sanitation, public health, and risk assessment;
•Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions;
•Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment;
•Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution;
•Environmental restoration, linked to surface water, groundwater and groundwater remediation;
•Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts;
•Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle;
•Socio-economic, policy, and regulations studies.