Supported gas membrane-based ammonia removal and recovery for a pH-dependent sink: Effect of water vapor transport
Supported gas membrane-based ammonia removal and recovery for a pH-dependent sink: Effect of water vapor transport
复制标题
支持基于气膜的氨去除和 pH 依赖性水槽回收:水蒸气传输的影响
DOI:
10.1016/j.memsci.2020.118308
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发表时间:
2020
影响因子:
9.5
通讯作者:
Cheng, Wu-Cheng
中科院分区:
文献类型:
--
作者:
Aligwe, Philip;Sirkar, Kamalesh K;Canlas, Christian J;Cheng, Wu-Cheng
Sometimes NH3is stripped from process/effluent streams through hydrophobic porous hollow-fiber-membranes (HFMs) via a supported-gas-membrane (SGM) process and recovered in concentrated H2SO4solution as (NH4)2SO4. To recover relatively purified (NH4)2SO4, one can avoid excess H2SO4with a more dilute H2SO4strip solution. Neglect of strip-side mass-transfer resistance for low-pH strip H2SO4solutions is not desirable with higher-pH H2SO4strip solutions. Small hollow-fiber membrane modules (HFMMs) were used with a higher-pH H2SO4strip solution. Mass transfer was successfully modeled using reaction-enhanced mass transport in higher-pH H2SO4solution. Employing larger-scale crossflow HFMMs, time-dependent ammonia removal from a large tank having ammonia-containing process effluent was modeled for batch recirculation operation. The larger-scale modules employ shell-side feed liquid in crossflow with an overall countercurrent flow pattern and acid flow in the tube side. Modeling ammonia transport without water vapor transfer can cause substantial errors in batch recirculation method. Water vapor transport was considered here for low-pH and high-pH H2SO4strip solutions for ammonia-containing feed in a large tank. Model results describe literature-based experimentally observed mass transfer behavior in industrial-treatment systems well. Model calculations were also made for continuous ammonia recovery from industrial effluents by a number of series-connected HFMMs without any batch recirculation.
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影响因子:
3.7
作者:
GMITRO, JI;VERMEULEN, T
通讯作者:
VERMEULEN, T
影响因子:
4.7
作者:
H. Estay;M. Ortiz;J. Romero
通讯作者:
J. Romero
影响因子:
2.8
作者:
Z. Shen;L. Zhang;Subrata Mondal;S. Wickramasinghe
通讯作者:
S. Wickramasinghe
影响因子:
2.8
作者:
B. Han;Zhi;Ranil Wickramasinghe
通讯作者:
Ranil Wickramasinghe
DOI:
10.1080/10934529709376537
发表时间:
1997
期刊:
Journal of Environmental Science and Health Part A-toxic\/hazardous Substances & Environmental Engineering
影响因子:
--
作者:
Amy Short;Stephen F. Haselmann;M. Semmens
通讯作者:
M. Semmens