Optimization of the Forward-Osmosis Performance with a Low-Concentration Draw Solution Using Response Surface Modeling,Chemical Engineering & Technology

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Optimization of the Forward-Osmosis Performance with a Low-Concentration Draw Solution Using Response Surface Modeling
Chemical Engineering & Technology ( IF 1.8 ) Pub Date : 2021-04-23 , DOI: 10.1002/ceat.202000453
K. Aghilesh ₁ , Alka A. Mungray ₂ , Smriti Agarwal ₃ , Manoj Chandra Garg ₁

Affiliation

Forward osmosis (FO) has recently gained interest in wastewater treatment and seawater and brackish groundwater desalination. Response surface methodology (RSM) was used for the prediction and optimization of the FO process using a low-concentration draw solution (DS). The process variables were the feed solution (FS) temperature, the DS concentration, and the FS concentration. These variables were subjected to regression models and had R² values > 0.9. The FS temperature had a negative impact on the weight transfer from the DS, while the FS and DS concentrations had a direct correlation with the performance. At an FS temperature of 29 °C, the DS at 13 986 mg L⁻¹ and the FS at 1702 mg L⁻¹ produced the best results, thereby lowering the DS regeneration costs. Under this condition, the models were experimentally validated, confirming the predictive ability of the models.

中文翻译：

使用响应面建模优化低浓度提取溶液的正向渗透性能

正向渗透 (FO) 最近在废水处理和海水和微咸地下水淡化方面引起了人们的兴趣。响应面方法 (RSM) 用于预测和优化使用低浓度汲取溶液 (DS) 的 FO 过程。工艺变量是进料溶液 (FS) 温度、DS 浓度和 FS 浓度。这些变量进行回归模型并具有R ²值 > 0.9。FS 温度对 DS 的重量转移有负面影响，而 FS 和 DS 浓度与性能直接相关。在 29 °C 的 FS 温度下，DS 为 13 986 mg L ^-1，FS 为 1702 mg L ^-1产生了最好的结果，从而降低了 DS 再生成本。在这种情况下，模型得到了实验验证，证实了模型的预测能力。

更新日期：2021-06-18

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