Literature DB >> 22130002

SANI® process realizes sustainable saline sewage treatment: steady state model-based evaluation of the pilot-scale trial of the process.

Hui Lu1, George A Ekama, Di Wu, Jiang Feng, Mark C M van Loosdrecht, Guang-Hao Chen.   

Abstract

A steady state model was developed for evaluating the sulfur cycle based SANI(®) process. The model comprises: 1) a COD-based anaerobic hydrolysis kinetics model to determine removal of biodegradable COD and sulfate under different hydraulic retention time (HRT) and sludge retention time (SRT), 2) an element (C, H, O, N, P, S), COD and charge mass balanced stoichiometric part for prediction of the concentrations of alkalinity (H(2)CO(3)(*) alkalinity + H(2)S alkalinity), COD, sulfate, sulfide, nitrate and free saline ammonia in anaerobic sulfate reduction, anoxic autotrophic denitrification and aerobic autotrophic nitrification, and 3) an inorganic carbon (HCO(3)(-)) and sulfide (H(2)S/HS(-)) mixed weak acid/base chemistry part for pH prediction. Through characterization of the sewage organic matter and determination of the anaerobic hydrolysis kinetic rate and other relevant parameters, the steady state model was calibrated to a pilot plant for the SANI(®) process. The model predictions agreed well with the experimental data of the pilot-scale trial, demonstrating that the model developed from this study can explain the causes and conditions for the different bioprocesses and minimal sludge production in the SANI(®) process.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22130002     DOI: 10.1016/j.watres.2011.11.031

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


  4 in total

Review 1.  Potential for beneficial application of sulfate reducing bacteria in sulfate containing domestic wastewater treatment.

Authors:  T P H van den Brand; K Roest; G H Chen; D Brdjanovic; M C M van Loosdrecht
Journal:  World J Microbiol Biotechnol       Date:  2015-09-11       Impact factor: 3.312

2.  Effects of carbon-to-sulfur (C/S) ratio and nitrate (N) dosage on Denitrifying Sulfur cycle-associated Enhanced Biological Phosphorus Removal (DS-EBPR).

Authors:  Mei Yu; Hui Lu; Di Wu; Qing Zhao; Fangang Meng; Yudan Wang; Xiaodi Hao; Guang-Hao Chen
Journal:  Sci Rep       Date:  2016-03-17       Impact factor: 4.379

3.  Example study for granular bioreactor stratification: Three-dimensional evaluation of a sulfate-reducing granular bioreactor.

Authors:  Tian-Wei Hao; Jing-Hai Luo; Kui-Zu Su; Li Wei; Hamish R Mackey; Kun Chi; Guang-Hao Chen
Journal:  Sci Rep       Date:  2016-08-19       Impact factor: 4.379

4.  Spatiotemporal heterogeneity of core functional bacteria and their synergetic and competitive interactions in denitrifying sulfur conversion-assisted enhanced biological phosphorus removal.

Authors:  Yan Zhang; Mei Yu; Jianhua Guo; Di Wu; Zheng-Shuang Hua; Guang-Hao Chen; Hui Lu
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

  4 in total

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