Air stripping process for ammonia recovery from source-separated urine : modeling and optimization

BACKGROUND: The air stripping process has been widely used to treat wastewater to prevent undesirable substances from impairing the quality of water sources. This study aimed to investigate the operational and economic aspects of air stripping for ammonia recovery from source separated human urine....

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Main Authors: Liu, Bianxia, Giannis, Apostolos, Zhang, Jiefeng, Chang, Victor W.-C., Wang, Jing-Yuan
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/101729
http://hdl.handle.net/10220/24208
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1017292020-03-07T11:45:53Z Air stripping process for ammonia recovery from source-separated urine : modeling and optimization Liu, Bianxia Giannis, Apostolos Zhang, Jiefeng Chang, Victor W.-C. Wang, Jing-Yuan School of Civil and Environmental Engineering Residues and Resource Reclamation Centre Nanyang Environment and Water Research Institute DRNTU::Engineering::Civil engineering::Water resources DRNTU::Engineering::Environmental engineering::Waste management BACKGROUND: The air stripping process has been widely used to treat wastewater to prevent undesirable substances from impairing the quality of water sources. This study aimed to investigate the operational and economic aspects of air stripping for ammonia recovery from source separated human urine. RESULTS: The typical two-film model fails to explain the influence of pH on ammonia recovery. For that reason, modifications to the two-film model were applied to involve ammonia dissociation during mass transfer. It was found that increasing pH enhanced ammonia removal efficiency by promoting the free ammonia fraction in the solution. In addition, high air flow rate and temperature accelerated the stripping process due to the increase in mass transfer coefficient. From the economic point of view, unit operating cost was determined for 80% ammonia recovery. Results indicated that increasing air flow rate and temperature could reduce unit operating cost, whereas high pH could induce high unit operating cost due to the increase in chemical input. CONCLUSION: The modified two-film model can precisely estimate the critical values for an economic, efficient stripping process. However, a test-bedding study is required to validate the experimental findings. 2014-11-10T07:27:35Z 2019-12-06T20:43:28Z 2014-11-10T07:27:35Z 2019-12-06T20:43:28Z 2014 2014 Journal Article Liu, B., Giannis, A., Zhang, J., Chang, V. W. C., & Wang, J. Y. (2014). Air stripping process for ammonia recovery from source-separated urine : modeling and optimization. Journal of chemical technology & biotechnology, 90(12), 2208-2217. 0268-2575 https://hdl.handle.net/10356/101729 http://hdl.handle.net/10220/24208 10.1002/jctb.4535 173884 en Journal of chemical technology & biotechnology © 2014 Society of Chemical Industry.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering::Water resources
DRNTU::Engineering::Environmental engineering::Waste management
spellingShingle DRNTU::Engineering::Civil engineering::Water resources
DRNTU::Engineering::Environmental engineering::Waste management
Liu, Bianxia
Giannis, Apostolos
Zhang, Jiefeng
Chang, Victor W.-C.
Wang, Jing-Yuan
Air stripping process for ammonia recovery from source-separated urine : modeling and optimization
description BACKGROUND: The air stripping process has been widely used to treat wastewater to prevent undesirable substances from impairing the quality of water sources. This study aimed to investigate the operational and economic aspects of air stripping for ammonia recovery from source separated human urine. RESULTS: The typical two-film model fails to explain the influence of pH on ammonia recovery. For that reason, modifications to the two-film model were applied to involve ammonia dissociation during mass transfer. It was found that increasing pH enhanced ammonia removal efficiency by promoting the free ammonia fraction in the solution. In addition, high air flow rate and temperature accelerated the stripping process due to the increase in mass transfer coefficient. From the economic point of view, unit operating cost was determined for 80% ammonia recovery. Results indicated that increasing air flow rate and temperature could reduce unit operating cost, whereas high pH could induce high unit operating cost due to the increase in chemical input. CONCLUSION: The modified two-film model can precisely estimate the critical values for an economic, efficient stripping process. However, a test-bedding study is required to validate the experimental findings.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Liu, Bianxia
Giannis, Apostolos
Zhang, Jiefeng
Chang, Victor W.-C.
Wang, Jing-Yuan
format Article
author Liu, Bianxia
Giannis, Apostolos
Zhang, Jiefeng
Chang, Victor W.-C.
Wang, Jing-Yuan
author_sort Liu, Bianxia
title Air stripping process for ammonia recovery from source-separated urine : modeling and optimization
title_short Air stripping process for ammonia recovery from source-separated urine : modeling and optimization
title_full Air stripping process for ammonia recovery from source-separated urine : modeling and optimization
title_fullStr Air stripping process for ammonia recovery from source-separated urine : modeling and optimization
title_full_unstemmed Air stripping process for ammonia recovery from source-separated urine : modeling and optimization
title_sort air stripping process for ammonia recovery from source-separated urine : modeling and optimization
publishDate 2014
url https://hdl.handle.net/10356/101729
http://hdl.handle.net/10220/24208
_version_ 1681036480621838336