Biological nutrient removal in a continuous anaerobic–aerobic–anoxic process treating synthetic domestic wastewater

Liu, Gang; Xu, Xiangyang; Zhu, Liang; Xing, Shuo; Chen, Jianyu

doi:10.1016/j.cej.2013.01.098

Cited by 78 publications

(20 citation statements)

References 34 publications

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“…At DO concentrations of 2 and 3.5 mg/l, the TN removal efficiency was increased with decreasing COD/N ratio which confirms the high capacity of this system for nitrogen removal. Table 9 compares the performance of this innovative system with other bioreactors applied for the simultaneous nutrients removal [13,14,23,25,[44][45][46][47][48]. It is clearly found from Table 9, single bioreactors with CFID regime shows more capability to remove CNP from wastewater relative to the other proposed single bioreactors.…”

Section: Effect Of Cod/n Ratiomentioning

confidence: 98%

A novel continuous feed and intermittent discharge airlift bioreactor (CFIDAB) for enhanced simultaneous removal of carbon and nutrients from soft drink industrial wastewater

Asadi

Zinatizadeh

Loosdrecht

2016

Chemical Engineering Journal

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Implementation of different redox zones is an interesting method to amend single bioreactors for the simultaneous nutrient removal process. Air lift bioreactors have been noticed recently as a system that could provide environments with different oxidation-reduction potentials (ORP). In this study, the performance of a novel continuous feed and intermittent discharge airlift bioreactor (CFIDAB) for simultaneous removal of nutrients (N and P) from soft-drink wastewater was investigated. Three independent variables were selected to analyze, model and optimize the process at three levels. The variables were hydraulic retention time (HRT) (6-14 h), the diameter ratio of internal and external column (D in /D out) (0.3-0.7) (Corresponding to 10-1 as surface area of downcommer and riser ratio), and dissolved oxygen (DO) concentration (0.5-3.5 mg/l). Three different zones; anaerobic, anoxic, and aerobic zones, were successfully provided in the bioreactor under continuous aeration. An industrial soft drink wastewater with COD:N:P of 100:16:5 was used as feed. The optimum condition was determined as 12 h HRT, a D in /D out ratio of 0.5 and DO concentration of 3.5 mg/l At the optimum condition, COD, TN, and TP removal efficiencies were 98, 72, and 65%, respectively. Performance of the CFISAB is extremely influenced by superficial gas velocity due to its direct impact on development of different zones in the single bioreactor. As a conclusion, this innovative single bioreactor is capable to treat wastewaters with high content of carbon and nutrients in smaller volume compared to existing conventional and combined systems.

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Section: Effect Of Cod/n Ratiomentioning

confidence: 98%

A novel continuous feed and intermittent discharge airlift bioreactor (CFIDAB) for enhanced simultaneous removal of carbon and nutrients from soft drink industrial wastewater

Asadi

Zinatizadeh

Loosdrecht

2016

Chemical Engineering Journal

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“…The non-aeration cycle must be long enough to allow the process to enter into an anaerobic stage which promotes Enhance Biological Phosphorous Removal (EBPR) [23,24], in which Polyphosphate Accumulating Organisms (PAO) consume organic matter by transforming it into polyhidroxyalcalanoates (PHA) and release phosphorous into the reactor. It will be subsequently A value lower than this threshold points to a low oxygen consumption rate, which means that there is a low organic matter concentration in the reactor.…”

Section: Aeration Controlmentioning

confidence: 99%

Multilevel Adaptive Control of Alternating Aeration Cycles in Wastewater Treatment to Improve Nitrogen and Phosphorous Removal and to Obtain Energy Saving

Vega

Jaramillo-Morán

2018

Water

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This work presents an adaptive control of the process of alternating aeration/non-aeration cycles for wastewater treatment. It is aimed at improving nitrogen and phosphorous removal efficiency and reducing energy consumption. It comprises two control levels. The first decides when to switch on and off aeration by comparing the Dissolved Oxygen (DO) and the Oxidation Reduction Potential (ORP) with two activation thresholds. The second, a supervisory control, continuously adapt their values by analyzing the working conditions of the reactor (organic matter and ammonium loads). These working conditions are described by four parameters obtained from the DO and ORP curves: Oxygen Uptake Rate (OUR), Oxygen Rise Average Slope (ORAS), ORParrow and Nitrate and Oxygen Uptake Rate (NOUR). It also adjusts the aeration system power to adapt it to those conditions. This adaptive control has been implemented in a laboratory scale prototype and its performance compared with that provided by another control with fixed thresholds and aeration power implemented in a similar prototype. The adaptive control clearly outperforms that without adaptation in nitrogen and phosphorous removal efficiency and requires lower energy consumption. Similar efficiencies were obtained for organic matter removal (higher than 90% in both cases).

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“…Complete removal of total Kjeldahl Nitrogen (TKN) is practically unachievable in the WWTP's having a preanaerobic system, wherein the anaerobic reactor is positioned behind the aerobic reactor and the mixed liquor involving nitrate is recirculated to the aerobic reactor from the secondary clarifier. The nitrate recirculation rate needs to be intensified, so as to improve the TKN removal efficiency, which steers to higher power consumption and dissolved oxygen (DO) return from the aerobic reactor (Liu et al 2013).…”

Section: Description Of Wwtp and Data Analysismentioning

confidence: 99%

“…Nitrogen mainly occurs in wastewater in the TKN form. After biological wastewater treatment, TKN mostly appears as oxidized nitrite (Liu et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Artificial intelligence models for predicting the performance of biological wastewater treatment plant in the removal of Kjeldahl Nitrogen from wastewater

Manu

Thalla

2017

Appl Water Sci

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The current work demonstrates the support vector machine (SVM) and adaptive neuro-fuzzy inference system (ANFIS) modeling to assess the removal efficiency of Kjeldahl Nitrogen of a full-scale aerobic biological wastewater treatment plant. The influent variables such as pH, chemical oxygen demand, total solids (TS), free ammonia, ammonia nitrogen and Kjeldahl Nitrogen are used as input variables during modeling. Model development focused on postulating an adaptive, functional, realtime and alternative approach for modeling the removal efficiency of Kjeldahl Nitrogen. The input variables used for modeling were daily time series data recorded at wastewater treatment plant (WWTP) located in Mangalore during the period June 2014-September 2014. The performance of ANFIS model developed using Gbell and trapezoidal membership functions (MFs) and SVM are assessed using different statistical indices like root mean square error, correlation coefficients (CC) and Nash Sutcliff error (NSE). The errors related to the prediction of effluent Kjeldahl Nitrogen concentration by the SVM modeling appeared to be reasonable when compared to that of ANFIS models with Gbell and trapezoidal MF. From the performance evaluation of the developed SVM model, it is observed that the approach is capable to define the interrelationship between various wastewater quality variables and thus SVM can be potentially applied for evaluating the efficiency of aerobic biological processes in WWTP.

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Biological nutrient removal in a continuous anaerobic–aerobic–anoxic process treating synthetic domestic wastewater

Cited by 78 publications

References 34 publications

A novel continuous feed and intermittent discharge airlift bioreactor (CFIDAB) for enhanced simultaneous removal of carbon and nutrients from soft drink industrial wastewater

A novel continuous feed and intermittent discharge airlift bioreactor (CFIDAB) for enhanced simultaneous removal of carbon and nutrients from soft drink industrial wastewater

Multilevel Adaptive Control of Alternating Aeration Cycles in Wastewater Treatment to Improve Nitrogen and Phosphorous Removal and to Obtain Energy Saving

Artificial intelligence models for predicting the performance of biological wastewater treatment plant in the removal of Kjeldahl Nitrogen from wastewater

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