TY - JOUR
T1 - Modeling nitrous oxide emissions in membrane bioreactors
T2 - Advancements, challenges and perspectives
AU - Li, Zeyu
AU - Yang, Xiao
AU - Chen, Hongbo
AU - Du, Mingyang
AU - Ok, Yong Sik
N1 - Funding Information:
This study was financially supported by the National Natural Science Foundation of China (NSFC) ( 51608464 ) and Hunan Provincial Natural Science Foundation ( 2020JJ4576 ).
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2022/2/1
Y1 - 2022/2/1
N2 - Membrane bioreactors (MBRs) have become a well-established wastewater treatment technology owing to their extraordinary efficiency and low space advantage over conventional activated sludge processes. Although the extended activated sludge models can predict the general trend of nitrous oxide (N2O) emissions in MBRs, the simulation results usually deviate from the actual values. This review critically evaluates the recent advances in the modeling of N2O emissions in MBRs, and proposes future directions for the development and improvement of models that better match the MBR characteristics. The quantitative impact of MBR characteristics on N2O emissions is identified as a key knowledge gap demanding urgent attention. Accurately clarification of the N2O emission pathways governed by MBR characteristics is essential to improve the reliability and practicability of existing models. This article lays a momentous foundation for the optimization of N2O models in MBRs, and proposes new demands for the next-generation model. The contents will assist academics and engineers in developing N2O production models for accurate prediction.
AB - Membrane bioreactors (MBRs) have become a well-established wastewater treatment technology owing to their extraordinary efficiency and low space advantage over conventional activated sludge processes. Although the extended activated sludge models can predict the general trend of nitrous oxide (N2O) emissions in MBRs, the simulation results usually deviate from the actual values. This review critically evaluates the recent advances in the modeling of N2O emissions in MBRs, and proposes future directions for the development and improvement of models that better match the MBR characteristics. The quantitative impact of MBR characteristics on N2O emissions is identified as a key knowledge gap demanding urgent attention. Accurately clarification of the N2O emission pathways governed by MBR characteristics is essential to improve the reliability and practicability of existing models. This article lays a momentous foundation for the optimization of N2O models in MBRs, and proposes new demands for the next-generation model. The contents will assist academics and engineers in developing N2O production models for accurate prediction.
KW - Extracellular polymeric substances
KW - Mathematical modeling
KW - Membrane bioreactors
KW - Nitrous oxide emissions
KW - Soluble microbial products
UR - http://www.scopus.com/inward/record.url?scp=85118863326&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2021.151394
DO - 10.1016/j.scitotenv.2021.151394
M3 - Review article
C2 - 34740645
AN - SCOPUS:85118863326
SN - 0048-9697
VL - 806
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 151394
ER -