The demonstration of a novel sulfur cycle-based wastewater treatment process: Sulfate reduction, autotrophic denitrification, and nitrification integrated (SANI®) biological nitrogen removal process

2012 ◽  
Vol 109 (11) ◽  
pp. 2778-2789 ◽  
Author(s):  
Hui Lu ◽  
Di Wu ◽  
Feng Jiang ◽  
George A. Ekama ◽  
Mark C.M. van Loosdrecht ◽  
...  
2019 ◽  
Vol 118 ◽  
pp. 04029 ◽  
Author(s):  
Ying Lv ◽  
Shoubin Zhang ◽  
Yanming Yang ◽  
Yutian Liu ◽  
Kang Xie ◽  
...  

N2O (Nitrous oxide) is a strong greenhouse gas, and wastewater treatment process is one of the important artificial sources of N2O. Controlling N2O production and discharge in wastewater treatment process is beneficial to alleviate the greenhouse effect. Based on the mechanism of N2O production in biological nitrogen removal process, emission characteristics and influencing factors of N2O in three traditional biological nitrogen removal processes, A/A/O, SBR and oxidation ditch, and two new biological nitrogen removal processes, SBBR and CANON, have been reviewed. Furthermore, a control strategy for slowing the generation and release of N2O is proposed, which provides a reference for researchers in related field.


2009 ◽  
Vol 59 (10) ◽  
pp. 1893-1899 ◽  
Author(s):  
W. L. Tsang ◽  
J. Wang ◽  
H. Lu ◽  
S. Li ◽  
G. H. Chen ◽  
...  

This study reports a lab-scale evaluation of a new biological nitrogen removal process for saline sewage treatment, namely a SANI process (Sulfate reduction, Autotrophic denitrification and Nitrification Integrated process). The experimental system consisted of an up-flow anaerobic bed for sulfate reduction, an anoxic filter for autotrophic denitrification using dissolved sulfide produced in the up-flow anaerobic bed and an aerobic filter for nitrification. The system successfully operated for more than 180 days with an overall organic carbon removal efficiency of 95%, in which, 82% removal was contributed by the up-flow anaerobic bed operating at a HRT of 6 h, and 13% removal by the anoxic filter. An average COD removed /sulfate removed ratio was found to be 0.76 gCOD/gSO4 or 2.28 COD/gSO4-S further confirming that the organic removal was mainly achieved by the sulfate reduction. In terms of nitrogen removal efficiency, the SANI system was found sensitive to the recirculation rate between the anoxic filter and the aerobic filter. A recirculation rate of 3Q was found to be optimal for achieving 74% of the total nitrogen removal. It was confirmed that the autotrophic denitrification was a major contributor to the total nitrogen removal in the SANI system. Sulfur balance analysis indicated that both the accumulation of elementary sulfur in the biomass and the loss of hydrogen sulfide were trivial. During the entire operation period (330 days to date), no sludge was wasted from any reactors in this system. This was further confirmed by the biomass balance simulation results that low biomass yields of sulfate reducing bacteria, autotrophic denitrifiers and nitrifiers contribute to the zero excess sludge discharge.


2008 ◽  
Vol 58 (1) ◽  
pp. 133-141 ◽  
Author(s):  
P. Rousseau ◽  
J.-P. Steyer ◽  
E. I. P Volcke ◽  
N. Bernet ◽  
F. Béline

In order to deal with the environmental problems associated with animal production industrialization and at the same time considering energy costs increasing, a piggery wastewater treatment process consisting of combined anaerobic digestion and biological nitrogen removal by activated sludge was developed. This contribution presents a modelling framework in order to optimize this process. Modified versions of the well established ASM1 and ADM1 models have been used. The ADM1 was extended with biological denitrification. pH calculation and liquid gas-transfer were modified to take into account the effect of associated components. Finally, two interfaces (ADMtoASM and ASMtoADM) were built in order to combine both models. These interfaces set up the COD, nitrogen, alkalinity and charge fractionation between both models. However, for the mass balances between both models, some hypotheses were considered and might be evaluated.


Author(s):  
Gabriela Bonassa ◽  
Alice Chiapetti Bolsan ◽  
Camila Ester Hollas ◽  
Bruno Venturin ◽  
Daniela Candido ◽  
...  

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