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首页> 外文期刊>Journal of environment informatics >Comparative Assessment and Multivariate Optimization of Commercially Available Small Scale Reverse Osmosis Membranes
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Comparative Assessment and Multivariate Optimization of Commercially Available Small Scale Reverse Osmosis Membranes

机译:市售小规模反渗透膜的比较评估和多元优化

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Requirement of reverse osmosis (RO) process at places facing energy and water quality problem makes its assessment and optimization vital while considering recovery, rejection as well as specific energy consumption. In the present paper, three thin film composite (TFC) RO membranes (make: CSM, Dow and Vontron) in spiral wound (SW) configuration have been chosen to study their relative performance. Comparative study of RO membranes was conducted using experimental observations supported by membrane characterization. Optimization experiments were performed using central composite design (CCD) of response surface methodology (RSM). Four input variables viz. feed water pH, temperature, pressure and concentration were optimized and interaction between them was observed, while, recovery, rejection and specific energy consumption (SEC) were taken as response attributes. The experiments conducted employing the optimized input values validated the developed RSM model. Predictive model using multiple response optimization revealed the optimal efficiency of CSM RO membrane at 6.53 pH, 1500 mg/L concentration, 0.78 MPa pressure and 31.94 degrees C temperature producing 19.25% water recovery, 89.21% salt rejection and 17.60 kWh/m(3) SEC, respectively. Membrane surface characterization was carried out by FE-SEM, AFM, contact angle measurement and FTIR. The lesser contact angle and smoother surface apparently contributed to the better performance of CSM RO membrane. This paper may demonstrate a simple method for optimizing the commercially available small scale RO membranes.
机译:在面临能源和水质问题的地方,对反渗透(RO)工艺的要求使其评估和优化至关重要,同时还要考虑回收率,废品率和特定能耗。在本文中,我们选择了三种螺旋缠绕(SW)配置的薄膜复合材料(TFC)RO膜(制造:CSM,Dow和Vontron)来研究其相对性能。反渗透膜的比较研究是利用膜表征支持的实验观察进行的。使用响应面方法(RSM)的中央复合设计(CCD)进行了优化实验。四个输入变量,即。优化了给水的pH,温度,压力和浓度,观察了它们之间的相互作用,同时将回收率,截留率和比能耗(SEC)作为响应属性。使用优化的输入值进行的实验验证了开发的RSM模型。使用多重响应优化的预测模型显示,在6.53 pH,1500 mg / L浓度,0.78 MPa压力和31.94摄氏度的温度下,CSM RO膜的最佳效率产生了19.25%的水回收率,89.21%的脱盐率和17.60 kWh / m(3) SEC。通过FE-SEM,AFM,接触角测量和FTIR进行膜表面表征。较小的接触角和更光滑的表面显然有助于CSM RO膜的更好性能。本文可能会演示一种简单的方法,可以优化市售的小型反渗透膜。

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