Athanasios Latinis, Panagiotis Seferlis, A. Papadopoulos
{"title":"Optimal Operational Profiles in an Electrodialysis Unit for Ion Recovery","authors":"Athanasios Latinis, Panagiotis Seferlis, A. Papadopoulos","doi":"10.3303/CET2188170","DOIUrl":null,"url":null,"abstract":"Electrodialysis is an efficient process for the cleaning of industrial water effluent streams from toxic ionic substances with the simultaneous recovery of valuable ions for reuse. Energy consumption and waste recovery are the two key goals of the process. A dynamic optimisation program aims to determine the optimal operating conditions in terms of applied voltage and effluent flow rate in a batch operating scheme. A model is developed that accounts for the ion transfer through the ion selective membranes and the dynamics of the system. A combination of three objective functions targeting the minimisation of the overall batch process time, the minimisation of the electrical energy consumption required for the ion transfer, and the maximisation of the overall degree of separation is investigated. The manipulated variables applied voltage and feed stream flow rate are considered as piecewise constant during each time interval, spanning the duration of the entire batch. The dynamic optimisation problem is solved through standard non-linear programming techniques which calculate the optimal batch duration and condition profiles for the system. A multi-objective analysis is presented for various combinations of weight values for the joint objective function through the development of the Pareto optimal front. The current approach has been implemented in the removal and recovery of sulfuric anions from an aqueous solution and resulted in the achievement of a high degree of separation in a shorter period at a much lower energy consumption.","PeriodicalId":9695,"journal":{"name":"Chemical engineering transactions","volume":"159 1","pages":"1021-1026"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemical engineering transactions","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3303/CET2188170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Chemical Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
Electrodialysis is an efficient process for the cleaning of industrial water effluent streams from toxic ionic substances with the simultaneous recovery of valuable ions for reuse. Energy consumption and waste recovery are the two key goals of the process. A dynamic optimisation program aims to determine the optimal operating conditions in terms of applied voltage and effluent flow rate in a batch operating scheme. A model is developed that accounts for the ion transfer through the ion selective membranes and the dynamics of the system. A combination of three objective functions targeting the minimisation of the overall batch process time, the minimisation of the electrical energy consumption required for the ion transfer, and the maximisation of the overall degree of separation is investigated. The manipulated variables applied voltage and feed stream flow rate are considered as piecewise constant during each time interval, spanning the duration of the entire batch. The dynamic optimisation problem is solved through standard non-linear programming techniques which calculate the optimal batch duration and condition profiles for the system. A multi-objective analysis is presented for various combinations of weight values for the joint objective function through the development of the Pareto optimal front. The current approach has been implemented in the removal and recovery of sulfuric anions from an aqueous solution and resulted in the achievement of a high degree of separation in a shorter period at a much lower energy consumption.
期刊介绍:
Chemical Engineering Transactions (CET) aims to be a leading international journal for publication of original research and review articles in chemical, process, and environmental engineering. CET begin in 2002 as a vehicle for publication of high-quality papers in chemical engineering, connected with leading international conferences. In 2014, CET opened a new era as an internationally-recognised journal. Articles containing original research results, covering any aspect from molecular phenomena through to industrial case studies and design, with a strong influence of chemical engineering methodologies and ethos are particularly welcome. We encourage state-of-the-art contributions relating to the future of industrial processing, sustainable design, as well as transdisciplinary research that goes beyond the conventional bounds of chemical engineering. Short reviews on hot topics, emerging technologies, and other areas of high interest should highlight unsolved challenges and provide clear directions for future research. The journal publishes periodically with approximately 6 volumes per year. Core topic areas: -Batch processing- Biotechnology- Circular economy and integration- Environmental engineering- Fluid flow and fluid mechanics- Green materials and processing- Heat and mass transfer- Innovation engineering- Life cycle analysis and optimisation- Modelling and simulation- Operations and supply chain management- Particle technology- Process dynamics, flexibility, and control- Process integration and design- Process intensification and optimisation- Process safety- Product development- Reaction engineering- Renewable energy- Separation processes- Smart industry, city, and agriculture- Sustainability- Systems engineering- Thermodynamic- Waste minimisation, processing and management- Water and wastewater engineering