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首页> 外文期刊>Chemical engineering journal >Carboxylic acid concentration by forward osmosis processes: Dynamic modeling, experimental validation and simulation
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Carboxylic acid concentration by forward osmosis processes: Dynamic modeling, experimental validation and simulation

机译:正向渗透过程中的羧酸浓度:动态建模,实验验证和模拟

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摘要

Driven by osmotic pressure, forward osmosis has attracted growing attention in desalination, water purification and wastewater reuse application. The performance behavior of FO process relies upon not only the membrane properties but also the process operation parameters. In addition, the desired process optimization can be defined from these operation parameters. To profoundly comprehend the forward osmosis performance, related to the process operation parameters during concentrating carboxylic acid, the mathematical model was developed by thoroughly enumerating and integrating each single logical phenomenon equation with pertinent variables during the operation of FO process, which aims to emulate a large-scale FO process with a plate-and-frame module configuration. By means. of Levenberg-Marquardt algorithm, the 51 precise dependent process variables were simultaneously determined, as functions of time (Dynamic Simulation Model). FO experimental process was carried out to verify the developed model under the same operating conditions by using Thin-Film Composite (TFC) FO membrane whereas feed solution was varied types of carboxylic acids. The good agreement between model predictions and experimental data was observed. The concentration performances of FO process at 30 h system operation for acetic, butyric, valeric and lactic acid were 1.65, 2.2, 2.3 and 2.5 fold increase, respectively, quantified by developed model. As 3D simulation, not only is the developed model aimed to forecast the optimum initial conditions of draw solution for the best concentration performance of FO process, but the results can also be used as guidelines to select the effective regions of initial conditions to achieve the nearby maximum concentration performance. (C) 2016 Elsevier B.V. All rights reserved.
机译:在渗透压的驱动下,正向渗透在海水淡化,水净化和废水回用应用中引起了越来越多的关注。 FO工艺的性能不仅取决于膜的性能,还取决于工艺操作参数。此外,可以从这些操作参数中定义所需的过程优化。为了深刻理解与浓缩羧酸过程中的工艺操作参数相关的正向渗透性能,通过对FO过程中每个逻辑现象方程与相关变量进行全面枚举和集成,开发了数学模型,旨在模拟一个大的过程。具有板框模块配置的大规模FO工艺。借助于。根据Levenberg-Marquardt算法,同时确定了51个精确的相关过程变量作为时间的函数(动态仿真模型)。通过使用薄膜复合材料(TFC)FO膜,在相同的操作条件下进行了FO实验过程,以验证开发的模型,而进料溶液是多种类型的羧酸。观察到模型预测和实验数据之间的良好一致性。通过开发的模型定量,系统运行30 h的FO工艺对乙酸,丁酸,戊酸和乳酸的浓缩性能分别提高了1.65、2.2、2.3和2.5倍。作为3D模拟,开发的模型不仅旨在预测FO过程的最佳浓缩性能的最佳抽液解决方案的初始条件,而且结果还可以用作选择初始条件有效区域以达到附近目标的指导。最大浓缩性能。 (C)2016 Elsevier B.V.保留所有权利。

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