Literature DB >> 31255780

Optimization of nitrogen removal performance in a single-stage SBR based on partial nitritation and ANAMMOX.

Daehee Choi1, Kyungjin Cho2, Jinyoung Jung3.   

Abstract

A partial nitritation (PN)/anaerobic ammonium oxidation (ANAMMOX) process in sequencing batch reactor (SBR) was successfully developed to treat high-strength ammonium wastewater. The feed distribution in the SBR cycle and sub-cycles was considered as the main operating strategy, and was optimized using a response surface methodology (RSM)-based optimization technique. In the SBR cycle, the maximum nitrogen removal rate (NRR) of 0.79 ± 0.01 kg m-3 d-1 was achieved by applying a feed distribution strategy that considered the kinetic characteristics of ANAMMOX and ammonia oxidizing bacteria (AOB). However, this strategy negatively affected the nitrogen removal efficiency (NRE) due to alkalinity loss. Therefore, the feed distribution in the SBR sub-cycles with respect to the NRE and the NRR was further studied. The nitrogen removal performance was optimized in the optimum region and an NRE of 88% and an NRR of 0.84 kg m-3 d-1 were achieved. The optimized model was verified in confirmation test. The RSM-based optimization results provide insights into the feed distribution strategy for achieving single-stage PN/ANAMMOX SBR operation.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  ANAMMOX; Nitrogen removal efficiency; Nitrogen removal rate; Optimization; Response surface methodology; Sequencing batch reactor

Mesh:

Substances:

Year:  2019        PMID: 31255780     DOI: 10.1016/j.watres.2019.06.044

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  2 in total

Review 1.  A review of partial nitrification in biological nitrogen removal processes: from development to application.

Authors:  Jipeng Wang; Liangzhong Li; Yongdi Liu; Wei Li
Journal:  Biodegradation       Date:  2021-04-06       Impact factor: 3.909

2.  Marine Biomass-Supported Nano Zero-Valent Iron for Cr(VI) Removal: A Response Surface Methodology Study.

Authors:  Zhuang Tong; Qin Deng; Shengxu Luo; Jinying Li; Yong Liu
Journal:  Nanomaterials (Basel)       Date:  2022-05-27       Impact factor: 5.719

  2 in total

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