Prediction of Particulate Fouling in Reverse Osmosis Systems

MFI-UF Method Development and Application

Doctoral Thesis (2023)
Author(s)

M.B.M. Abunada (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

M.D. Kennedy – Promotor (TU Delft - Civil Engineering & Geosciences)

Nirajan Dhakal – Promotor (IHE Delft Institute for Water Education)

Research Group
Sanitary Engineering
DOI related publication
https://doi.org/10.4233/uuid:58a8de05-9b30-4009-93bb-1b671eed3bee Final published version
More Info
expand_more
Publication Year
2023
Language
English
Research Group
Sanitary Engineering
ISBN (print)
978-90-73445-55-0
Downloads counter
176
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The application of reverse osmosis (RO) membranes in water treatment has rapidly grown over the last few decades thanks to the continuous advancements in both design and operation. However, RO membrane fouling still remains a key challenge. Fouling can cause a decline in membrane permeability, which requires higher operational energy and more frequent membrane cleaning/replacement to maintain stable water production, which eventually results in increased O&M costs. Particulate fouling, due to the deposition of particles and colloids onto RO membranes, is one of the types of fouling persistently experienced in RO systems. Therefore, there is a real need for a reliable method to predict particulate fouling in order to effectively monitor and control the performance of RO systems....

Files

2023_IHE_THESIS_PHD_ABUNADA.pd... (pdf)
(pdf | 7.92 Mb)
- Embargo expired in 18-10-2024