INTEGRATED MEMBRANE FEED STREAM PERFORMANCE IMPROVEMENT-A REVIEW
Journal: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) (Vol.11, No. 6)Publication Date: 2021-12-31
Authors : N. J. RAMANAMANE P. B. SOB A. A. ALUGONGO; T. B. TENGEN;
Page : 311-328
Keywords : Feed Stream; Oil-Water Waste; Separation & Integrated Membrane;
Abstract
Integrated membrane system has become a promising technique for oil-water waste separation in recent years, compared to the traditional membrane technology. The integrated membrane system is considered the superior technology for oil-water waste separation, due to the high oil-water separation efficiency it offers. However, the feed stream of the integrated membrane system experiences extensive pores blockage (membrane fouling) which hampers the oil-water separation efficiency. Membrane fouling during oil-water separation leads to poor membrane performance, such as permeate flux decline and poor rejection factor. Several techniques have been considered to minimize the membrane fouling to optimize the performance of the integrated membrane feed stream. Such as the optimization of the operating parameters, operating conditions in the integrated membrane feed stream and employing different experimental setups. This review covers the two critical factors which are commonly considered during the optimization of the integrated membrane feed stream i.e., operating parameters and operating condition theoretical models in relation to the experimental setup analysis for optimal performance of the integrated membrane feed stream. The critical factors are discussed, compared, and the limitations on the theoretical models are presented accordingly. Despite all the limitations presented by the integrated membrane system is still considered the superior oil -water separation technology, such that the UF-FO-MD integrated membrane feed stream obtained a high oil-water separation efficiency at low costs during the experimental analysis, using the developed theoretical models.
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