DESAL RESEARCH GROUP

Sustainable technologies for a water-secure future

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KEY VALUES

Committed to excellence

We aim to be at the forefront of global efforts to contribute to a water-secure future. We envision a world where sustainable desalination technologies and water treatment solutions are pivotal in providing clean and safe water to communities and fostering economic growth. Through continuous innovation and collaboration, we aspire to set new standards for excellence in the field, leaving a long-lasting effect on the well-being of societies and the health of our planet.

About
DESAL team at the lab
RESEARCH & TECHNOLOGY

Driven by innovation, recognized by impact

The DESAL Research Group pioneers advancements in desalination and wastewater treatment, prioritizing excellence, innovation, and sustainability. Our focus on cutting-edge research and efficiency aims to address global water challenges and support sustainable development goals.

NEWS & UPDATES 

Discover the latest breakthroughs from our team

15 February, 2026

DESAL summer intern Imran Alturkistani wins national awards at Ibdaa Science and Engineering Fair

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02 February, 2026

New DESAL research published in Nature Communications advances energy-efficient desalination

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28 January, 2026

DESAL and ACWA Power advance AI-based research for early membrane fouling detection

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ADVANCING SCIENCE

Scientific Contributions

Through research papers, patents, and PhD dissertations, we push the boundaries of knowledge, driving innovation in desalination and water treatment.

Prediction of particulate fouling in full-scale reverse osmosis plants using the modified fouling index – ultrafiltration (MFI-UF) method

by Mohanad Abunada, Raffay Gulrez, Almotasembellah Abushaban, Herman Smit, David Moed, Pamela Ajok, Yuke Li, Almotasembellah Abushaban, Hernan Smit, David Moed, Noreddine Ghaffour, Jan C. Schippers, Maria d. Kennedy
Year: 2023 DOI: https://doi.org/10.1016/j.desal.2023.116478

Abstract

This study aims at applying and verifying the MFI-UF method to predict particulate fouling in RO plants. Two full-scale RO plants treating surface water, with average capacity of 800–2000 m3/h, were studied. Firstly, the MFI-UF of RO feed and concentrate was measured using 5–100 kDa membranes at same flux applied in the RO plants (20–26 L/m2.h). Subsequently, the particle disposition factor (Ω) was calculated to simulate particle deposition in RO cross-flow filtration. Finally, particulate fouling rates were predicted based on MFI-UF and Ω, and compared with the actual fouling rates in the plants. For plant A, the results showed that the fouling rates predicted using MFI-UF measured with 100 kDa membrane have the best agreement with the actual fouling (with 3–11 % deviation). For plant B, the fouling rates predicted based on both 10 and 100 kDa membranes agree well with the actual fouling (with 2 % and 15 % deviation, respectively). However, the fouling predicted based on 5 kDa membrane is considerably overestimated for both plants, which is attributed to the effect of the low surface porosity of 5 kDa membrane. More widespread applications of MFI-UF in full-scale RO plants are required to demonstrate the most suitable MFI-UF membranes for fouling prediction.

Keywords

Reverse osmosis (RO) Particulate fouling prediction MFi-UF Particle deposition factor Membrane surface porosity correction

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