scholarly journals Molecular Gate Membrane: Poly(amidoamine) Dendrimer/polymer Hybrid Membrane Modules for CO2 Capture

2013 ◽  
Vol 37 ◽  
pp. 961-968 ◽  
Author(s):  
Teruhiko Kai ◽  
Ikuo Taniguchi ◽  
Shuhong Duan ◽  
Firoz Alam Chowdhury ◽  
Takashi Saito ◽  
...  
2020 ◽  
Vol 595 ◽  
pp. 117504 ◽  
Author(s):  
Kai K. Chen ◽  
Witopo Salim ◽  
Yang Han ◽  
Dongzhu Wu ◽  
W.S. Winston Ho

2014 ◽  
Vol 69 (8) ◽  
pp. 1735-1741 ◽  
Author(s):  
M. Aybar ◽  
G. Pizarro ◽  
J. P. Boltz ◽  
L. Downing ◽  
R. Nerenberg

We used modeling to predict the energy and cost savings associated with the air-based, hybrid membrane-biofilm reactor (hybrid MfBR). This process is obtained by replacing fine-bubble diffusers in conventional activated sludge with air-supplying, hollow-fiber membrane modules. Evaluated processes included removal of chemical oxygen demand (COD), combined COD and total nitrogen (TN) removal, and hybrid growth (biofilm and suspended). Target concentrations of COD and TN were based on high-stringency water reuse scenarios. Results showed reductions in power requirements as high as 86%. The decrease mainly resulted from the dramatically lower air flows for the MBfR, resulting from its higher oxygen-transfer efficiencies. When the MBfR was used for COD and TN removal, savings up to US$200/1,000 m3 of treated water were predicted. Cost savings were highly sensitive to the costs of the membrane modules and electrical power. The costs were also very sensitive to membrane oxidation flux for ammonia, and the membrane life. These results suggest the hybrid MBfR may provide significant savings in energy and costs. Further research on the identified key parameters can help confirm these modeling predictions and facilitate scale-up.


2019 ◽  
Author(s):  
Teruhiko Kai ◽  
Shuhong Duan ◽  
Fuminori Ito ◽  
Satoshi Mikami ◽  
Yoshinobu Sato ◽  
...  
Keyword(s):  

2014 ◽  
Vol 32 (3) ◽  
pp. 383-389 ◽  
Author(s):  
Michael Binns ◽  
Se-Young Oh ◽  
Dong-Hun Kwak ◽  
Jin-Kuk Kim

2013 ◽  
Author(s):  
Shiguang Li ◽  
S. Shou ◽  
Travis Pyrzynski ◽  
Ajay Makkuni ◽  
Howard Meyer

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