TY - GEN
T1 - Rinsing Conditions Optimization of the Polyacrylonitrile Membranes Fouled by Sodium Alginate Solution
AU - Zhong, Chenyin
AU - Wang, Zhan
AU - Wang, Xi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - Rinsing is one of the most common methods to effectively mitigate membrane contamination and it is essential to optimize the cleaning conditions. In this study, A sequence of rinsing experiments was carried out on polyacrylonitrile membranes contaminated with sodium alginate solution. A rinsing model was used to predict the instantaneous membrane flux. The results show that the model predictions show good agreement with the experimental data (R2≥0.9937). The membrane flux increases with increasing rinsing time, but unnecessarily extended rinsing time (>15 min) decreased membrane flux. The effect of temperature on membrane flux was more significant compared to rotational speed (97.7% (55°C)>91.2% (600 rpm), at 5 min of rinsing time). In addition, stirring speed and temperature played a significant role in k1, k2 and k3. The optimum rinsing conditions could be obtained by the association of the rinsing model (Eq. (23.2)) and the regression equation (Eq. (23.3)) to predict the rinsing time for maximum membrane flux in rinsing process.
AB - Rinsing is one of the most common methods to effectively mitigate membrane contamination and it is essential to optimize the cleaning conditions. In this study, A sequence of rinsing experiments was carried out on polyacrylonitrile membranes contaminated with sodium alginate solution. A rinsing model was used to predict the instantaneous membrane flux. The results show that the model predictions show good agreement with the experimental data (R2≥0.9937). The membrane flux increases with increasing rinsing time, but unnecessarily extended rinsing time (>15 min) decreased membrane flux. The effect of temperature on membrane flux was more significant compared to rotational speed (97.7% (55°C)>91.2% (600 rpm), at 5 min of rinsing time). In addition, stirring speed and temperature played a significant role in k1, k2 and k3. The optimum rinsing conditions could be obtained by the association of the rinsing model (Eq. (23.2)) and the regression equation (Eq. (23.3)) to predict the rinsing time for maximum membrane flux in rinsing process.
KW - Model
KW - Polyacrylonitrile membrane
KW - Rinsing
KW - Sodium alginate solution
UR - http://www.scopus.com/inward/record.url?scp=85198747981&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-42563-9_23
DO - 10.1007/978-3-031-42563-9_23
M3 - Conference contribution
AN - SCOPUS:85198747981
SN - 9783031425622
T3 - Environmental Science and Engineering
SP - 225
EP - 233
BT - Advances in Energy Resources and Environmental Engineering -
A2 - Abomohra, Abdelfatah
A2 - Harun, Razif
A2 - Wen, Jia
PB - Springer Science and Business Media Deutschland GmbH
T2 - 8th International Conference on Advances in Energy Resources and Environment Engineering, ICAESEE 2022
Y2 - 23 December 2022 through 25 December 2022
ER -