{"title":"通过电渗析回收低浓度废酸:建模与验证","authors":"Feng-rui Li , Yu-xiang Jia , Meng Wang","doi":"10.1016/j.jclepro.2024.144203","DOIUrl":null,"url":null,"abstract":"<div><div>In light of the operational principles of Electrodialysis (ED), it is anticipated that this technology would significantly contribute to the recovery of waste acids through selective separation and subsequent proton concentration. However, the imperfect proton leakage characteristics of anion exchange membranes (AEMs) not only detrimentally affect the efficacy of ED-based acid recovery systems but also present considerable challenges for modeling endeavors. This study introduces a model based on the Nernst-Plank Equation at the cell pair scale, aimed at predicting ED performance. The model incorporates an empirical expression that links operational parameters, such as acid concentration and the concentration ratio between the concentrate and dilute compartments, to the permselectivities of AEMs in terms of anion transport numbers. Furthermore, both numerical and experimental analyses are performed to evaluate energy consumption across various operating conditions. The simulation outcomes derived from the proposed model exhibit a strong correlation with experimental data concerning acid transport (where the acid concentration increases from 0.25 M to 1.1 M through a two-stage concentration process), water migration (which demonstrates a nearly linear increase over time with applied currents, specifically a 15% increase under low-current conditions and a 100% increase under high-current conditions), and energy consumption. It is hoped that this model will aid in the design and optimization of ED-based acid reclamation processes, thereby enhancing their practical applications.</div></div>","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"482 ","pages":"Article 144203"},"PeriodicalIF":9.7000,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recovery of low-concentration waste acid by electrodialysis: Modeling and validation\",\"authors\":\"Feng-rui Li , Yu-xiang Jia , Meng Wang\",\"doi\":\"10.1016/j.jclepro.2024.144203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In light of the operational principles of Electrodialysis (ED), it is anticipated that this technology would significantly contribute to the recovery of waste acids through selective separation and subsequent proton concentration. However, the imperfect proton leakage characteristics of anion exchange membranes (AEMs) not only detrimentally affect the efficacy of ED-based acid recovery systems but also present considerable challenges for modeling endeavors. This study introduces a model based on the Nernst-Plank Equation at the cell pair scale, aimed at predicting ED performance. The model incorporates an empirical expression that links operational parameters, such as acid concentration and the concentration ratio between the concentrate and dilute compartments, to the permselectivities of AEMs in terms of anion transport numbers. Furthermore, both numerical and experimental analyses are performed to evaluate energy consumption across various operating conditions. The simulation outcomes derived from the proposed model exhibit a strong correlation with experimental data concerning acid transport (where the acid concentration increases from 0.25 M to 1.1 M through a two-stage concentration process), water migration (which demonstrates a nearly linear increase over time with applied currents, specifically a 15% increase under low-current conditions and a 100% increase under high-current conditions), and energy consumption. 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引用次数: 0
摘要
根据电渗析(ED)的运行原理,预计该技术将通过选择性分离和随后的质子浓缩,极大地促进废酸的回收。然而,阴离子交换膜(AEM)不完善的质子泄漏特性不仅会对基于电渗析的酸回收系统的功效产生不利影响,还会给建模工作带来巨大挑战。本研究介绍了一种基于细胞对规模的 Nernst-Plank 等式的模型,旨在预测 ED 的性能。该模型包含一个经验表达式,它将酸浓度、浓缩区和稀释区之间的浓度比等操作参数与阴离子传输数方面的 AEM 常选性联系起来。此外,还进行了数值和实验分析,以评估各种运行条件下的能耗。从所提出的模型中得出的模拟结果与有关酸输送(酸浓度通过两级浓缩过程从 0.25 M 增至 1.1 M)、水迁移(随着时间的推移与所应用的电流呈近乎线性的增长,特别是在低电流条件下增长 15%,而在高电流条件下增长 100%)和能耗方面的实验数据具有很强的相关性。希望该模型有助于设计和优化基于 ED 的酸再生工艺,从而提高其实际应用水平。
Recovery of low-concentration waste acid by electrodialysis: Modeling and validation
In light of the operational principles of Electrodialysis (ED), it is anticipated that this technology would significantly contribute to the recovery of waste acids through selective separation and subsequent proton concentration. However, the imperfect proton leakage characteristics of anion exchange membranes (AEMs) not only detrimentally affect the efficacy of ED-based acid recovery systems but also present considerable challenges for modeling endeavors. This study introduces a model based on the Nernst-Plank Equation at the cell pair scale, aimed at predicting ED performance. The model incorporates an empirical expression that links operational parameters, such as acid concentration and the concentration ratio between the concentrate and dilute compartments, to the permselectivities of AEMs in terms of anion transport numbers. Furthermore, both numerical and experimental analyses are performed to evaluate energy consumption across various operating conditions. The simulation outcomes derived from the proposed model exhibit a strong correlation with experimental data concerning acid transport (where the acid concentration increases from 0.25 M to 1.1 M through a two-stage concentration process), water migration (which demonstrates a nearly linear increase over time with applied currents, specifically a 15% increase under low-current conditions and a 100% increase under high-current conditions), and energy consumption. It is hoped that this model will aid in the design and optimization of ED-based acid reclamation processes, thereby enhancing their practical applications.
期刊介绍:
The Journal of Cleaner Production is an international, transdisciplinary journal that addresses and discusses theoretical and practical Cleaner Production, Environmental, and Sustainability issues. It aims to help societies become more sustainable by focusing on the concept of 'Cleaner Production', which aims at preventing waste production and increasing efficiencies in energy, water, resources, and human capital use. The journal serves as a platform for corporations, governments, education institutions, regions, and societies to engage in discussions and research related to Cleaner Production, environmental, and sustainability practices.