A Better MLE Nitrification Process Adopted from STOAT Simulation Experiments
Objectives : Nitrogen removal processes are very important in terms of water conservation. Among them, the MLE process has been difficult to optimize because it has many variations and required experiences in operation. Methods : In this work, we quantitatively analyzed the nitrification of the ML...
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Korean Society of Environmental Engineers
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doaj-da9bf7f15047430d84bb132a3144294d2021-07-27T02:29:35ZengKorean Society of Environmental Engineers대한환경공학회지1225-50252383-78102021-06-0143644345210.4491/KSEE.2021.43.6.443A Better MLE Nitrification Process Adopted from STOAT Simulation ExperimentsTaewook Kim0https://orcid.org/0000-0001-7639-5035Sunjoo Cho1https://orcid.org/0000-0003-4363-7944Sung-Hyun Kwon2https://orcid.org/0000-0001-5803-2003 Daechul Cho3https://orcid.org/0000-0002-0286-6743Department of Energy&Environmental Engineering, Soonchunhyang UniversityDepartment of Energy&Environmental Engineering, Soonchunhyang UniversityDepartment of Marine Environmental Engineering, Gyeongsang National UniversityDepartment of Energy&Environmental Engineering, Soonchunhyang UniversityObjectives : Nitrogen removal processes are very important in terms of water conservation. Among them, the MLE process has been difficult to optimize because it has many variations and required experiences in operation. Methods : In this work, we quantitatively analyzed the nitrification of the MLE process using the STOAT simulation program. In particular, we attempted to improve nitrification rate even at lower water temperatures. Results and Discussion : As a result, more than 93% ammonia was nitrificated when the water temperature was above 20℃, and a lower reduction rate of ammonia was observed when the temperature was below 15℃. Simulations applying three process variables (MLSS, DO concentration, and RAS) were carried out once or several times to increase nitrogen removal efficiency at 10℃, and the most efficient variable was ‘RAS increase’(55% reduction of ammonia). Conclusions : For more efficient nitrification rate, simultaneous increases in RAS and DO were required. In this case, the ammonia concentration in the effluent dropped by 61.4% and it was desirable to increase the MLSS return volume for T-N concentration reduction.https://www.jksee.or.kr/journal/view.php?number=4345simulatorstoatwastewater treatmentbiological treatmentmle process |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Taewook Kim Sunjoo Cho Sung-Hyun Kwon Daechul Cho |
spellingShingle |
Taewook Kim Sunjoo Cho Sung-Hyun Kwon Daechul Cho A Better MLE Nitrification Process Adopted from STOAT Simulation Experiments 대한환경공학회지 simulator stoat wastewater treatment biological treatment mle process |
author_facet |
Taewook Kim Sunjoo Cho Sung-Hyun Kwon Daechul Cho |
author_sort |
Taewook Kim |
title |
A Better MLE Nitrification Process Adopted from STOAT Simulation Experiments |
title_short |
A Better MLE Nitrification Process Adopted from STOAT Simulation Experiments |
title_full |
A Better MLE Nitrification Process Adopted from STOAT Simulation Experiments |
title_fullStr |
A Better MLE Nitrification Process Adopted from STOAT Simulation Experiments |
title_full_unstemmed |
A Better MLE Nitrification Process Adopted from STOAT Simulation Experiments |
title_sort |
better mle nitrification process adopted from stoat simulation experiments |
publisher |
Korean Society of Environmental Engineers |
series |
대한환경공학회지 |
issn |
1225-5025 2383-7810 |
publishDate |
2021-06-01 |
description |
Objectives : Nitrogen removal processes are very important in terms of water conservation. Among them, the
MLE process has been difficult to optimize because it has many variations and required experiences in operation.
Methods : In this work, we quantitatively analyzed the nitrification of the MLE process using the STOAT
simulation program. In particular, we attempted to improve nitrification rate even at lower water temperatures.
Results and Discussion : As a result, more than 93% ammonia was nitrificated when the water temperature was
above 20℃, and a lower reduction rate of ammonia was observed when the temperature was below 15℃.
Simulations applying three process variables (MLSS, DO concentration, and RAS) were carried out once or several
times to increase nitrogen removal efficiency at 10℃, and the most efficient variable was ‘RAS increase’(55%
reduction of ammonia).
Conclusions : For more efficient nitrification rate, simultaneous increases in RAS and DO were required. In this
case, the ammonia concentration in the effluent dropped by 61.4% and it was desirable to increase the MLSS
return volume for T-N concentration reduction. |
topic |
simulator stoat wastewater treatment biological treatment mle process |
url |
https://www.jksee.or.kr/journal/view.php?number=4345 |
work_keys_str_mv |
AT taewookkim abettermlenitrificationprocessadoptedfromstoatsimulationexperiments AT sunjoocho abettermlenitrificationprocessadoptedfromstoatsimulationexperiments AT sunghyunkwon abettermlenitrificationprocessadoptedfromstoatsimulationexperiments AT daechulcho abettermlenitrificationprocessadoptedfromstoatsimulationexperiments AT taewookkim bettermlenitrificationprocessadoptedfromstoatsimulationexperiments AT sunjoocho bettermlenitrificationprocessadoptedfromstoatsimulationexperiments AT sunghyunkwon bettermlenitrificationprocessadoptedfromstoatsimulationexperiments AT daechulcho bettermlenitrificationprocessadoptedfromstoatsimulationexperiments |
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