Comparative Study of Conventional and Ultrafiltration Pretreatment Methods in Desalination Plants: Case of Beni Saf and El Mactaa Stations, Algeria

Authors

  • B. Ouadi Civil engineering department, University of sciences and technologies Mohamed Boudiaf of Oran (USTO-MB), 1505, EL MNAOUER, 31000 Oran, Algeria
  • M. Maamar Institute of Sciences, University Center of Tipaza, Algeria
  • T. Hadbi Department of Hydraulics, Hassiba Ben Bouali University, Chlef, Algeria
  • D. Benyerou Laboratory of Rheology, Transport and Treatment of Complex Fluids (LRTTFC), Department of Hydraulics, University of Sciences and Technology of Oran (USTO-MB) BP 1505 Oran-El-M’naouer 31000, Algéria

DOI:

https://doi.org/10.58681/ajrt.24080206

Keywords:

Desalination, Pretreatment, Ultrafiltration, Reverse osmosis, SDI clogging index

Abstract

Pretreatment is a critical phase in the reverse osmosis desalination process, ensuring the compatibility of feed water with membrane specifications and preventing fouling caused by suspended solids, microorganisms, or scaling. This study presents a comparative analysis between conventional pretreatment using sand, anthracite, and cartridge filters and ultrafiltration-based membrane pretreatment, with a specific focus on the Silt Density Index (SDI) as an indicator of performance. The findings reveal that while ultrafiltration provides higher unit availability, conventional treatment offers more stable SDI values and reduced operational complexity. These insights are based on data collected from two large desalination plants in Algeria: Beni Saf and El Mactaa. Ultimately, the results suggest that conventional pretreatment remains more effective under variable raw water conditions common in Algerian coastal regions.

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Published

20-12-2024

How to Cite

Ouadi, B. ., Maamar, M., Hadbi, T., & Benyerou, D. (2024). Comparative Study of Conventional and Ultrafiltration Pretreatment Methods in Desalination Plants: Case of Beni Saf and El Mactaa Stations, Algeria . Algerian Journal of Research and Technology (AJRT), 8(2), 70–81. https://doi.org/10.58681/ajrt.24080206