دانلود مقاله ISI انگلیسی شماره 64468
ترجمه فارسی عنوان مقاله

تاثیر ویژگی های طراحی عناصر غشاء مارپیچی مارپیچ بر عملکرد آن در شیردهی حالت ثابت یک مطالعه پارامتری

عنوان انگلیسی
The effect of spiral wound membrane element design characteristics on its performance in steady state desalination — A parametric study
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی ترجمه فارسی
64468 2014 15 صفحه PDF سفارش دهید
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منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Desalination, Volume 332, Issue 1, 2 January 2014, Pages 76–90

چکیده انگلیسی

The spiral-wound membrane (SWM) element design variables include retentate- and permeate-spacer characteristics and number of membrane envelopes (or sheet width) for constant total area, in addition to membrane surface properties. The effect of these parameters (varying within realistic ranges) on the operating variables, comprising two-dimensional distribution of permeate flux, trans-membrane pressure (TMP), retentate- and permeate-side pressures and velocities, is systematically assessed. Advanced software is employed, capable of simulating SWM desalination performance with no recourse to empirical parameters. The parametric study involves typical cases of desalinating brackish and sea-water with 2000 mg/L and 40,000 mg/L TDS, respectively, in pressure vessels with seven 8-inch SWM-elements. The results show that low-pressure desalination modules are most sensitive to variations of geometric parameters. The effect of permeate-side fabric is significant, directly affecting TMP and module productivity. In both low- and high-pressure desalination, the effect of retentate-side spacer manifests itself mainly in the pressure drop across the element. The results confirm that the membrane width is very important, with short sheets exhibiting the best overall performance. Noteworthy is the insensitivity of high-pressure SWM-module productivity to significantly different design parameter-values, including envelope width. These results are helpful in guiding SWM element optimization and in setting priorities for related R&D work.

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