TY - JOUR
T1 - Evaluating and predicting surfactant-induced hydrophilization of pore channels in membrane distillation
AU - Wong, Pak Wai
AU - Jia, Mingyi
AU - Boey, Min Wei
AU - Lee, Po Hong
AU - Mang, Sui
AU - Deka, Bhaskar Jyoti
AU - Guo, Jiaxin
AU - Farid, Muhammad Usman
AU - Shao, Senlin
AU - Yang, Xing
AU - An, Alicia Kyoungjin
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2024/2/5
Y1 - 2024/2/5
N2 - Membrane distillation (MD) processes are susceptible to membrane pore wetting, which compromises the membrane's salt rejection efficiency and deteriorates the quality of the distillate. However, current understanding of the dynamics of membrane wetting remains incomplete, and the conventional indicators used to detect post-wetting, such as conductivity and distillate flux, have limitations. We develop a theoretical model for the wetting front (l) to elucidate the adsorption of surfactant molecules and their role in the hydrophilization of commercial polyvinylidene fluoride (PVDF) membranes under various sodium dodecyl sulfate (SDS) concentrations and different membrane pore sizes. Subsequently, we utilize an in-situ impedance-based monitoring technique to quantitatively track the progression of wetting and validate our model's ability to accurately describe the relationship between the wetting front and the square root of time (l=Kt) to obtain the wetting progression coefficient K within the first 30 min of the slow wetting stage. Hence, K, through the combination of impedance measurement and modelling, offers the advancement of wetting until the critical wetting front is reached. This critical wetting front, located at the half point of the membrane thickness, signifies the occurrence of partial wetting, alerting the need for membrane cleaning to mitigate full wetting before it occurs. Additionally, the potential for membrane recoverability can be assessed by examining the variation of K after cleaning, thereby facilitating the evaluation of the effectiveness of different membrane cleaning strategies. The theoretical model and applicable parameters presented in this study contribute to the understanding and quantification of mechanisms slow wetting in surfactant-induced scenarios and provide a promising method for determining the appropriate membrane for the desired feed and the optimal membrane cleaning strategy for extending the lifespan of membranes.
AB - Membrane distillation (MD) processes are susceptible to membrane pore wetting, which compromises the membrane's salt rejection efficiency and deteriorates the quality of the distillate. However, current understanding of the dynamics of membrane wetting remains incomplete, and the conventional indicators used to detect post-wetting, such as conductivity and distillate flux, have limitations. We develop a theoretical model for the wetting front (l) to elucidate the adsorption of surfactant molecules and their role in the hydrophilization of commercial polyvinylidene fluoride (PVDF) membranes under various sodium dodecyl sulfate (SDS) concentrations and different membrane pore sizes. Subsequently, we utilize an in-situ impedance-based monitoring technique to quantitatively track the progression of wetting and validate our model's ability to accurately describe the relationship between the wetting front and the square root of time (l=Kt) to obtain the wetting progression coefficient K within the first 30 min of the slow wetting stage. Hence, K, through the combination of impedance measurement and modelling, offers the advancement of wetting until the critical wetting front is reached. This critical wetting front, located at the half point of the membrane thickness, signifies the occurrence of partial wetting, alerting the need for membrane cleaning to mitigate full wetting before it occurs. Additionally, the potential for membrane recoverability can be assessed by examining the variation of K after cleaning, thereby facilitating the evaluation of the effectiveness of different membrane cleaning strategies. The theoretical model and applicable parameters presented in this study contribute to the understanding and quantification of mechanisms slow wetting in surfactant-induced scenarios and provide a promising method for determining the appropriate membrane for the desired feed and the optimal membrane cleaning strategy for extending the lifespan of membranes.
KW - Impedance
KW - Instant and slow wetting
KW - Membrane distillation
KW - Wetting detection
UR - https://www.scopus.com/pages/publications/85181756249
U2 - 10.1016/j.memsci.2023.122242
DO - 10.1016/j.memsci.2023.122242
M3 - 文章
AN - SCOPUS:85181756249
SN - 0376-7388
VL - 691
JO - Journal of Membrane Science
JF - Journal of Membrane Science
M1 - 122242
ER -