Optimization of operation conditions for the startup of aerobic granular sludge reactors biologically removing carbon, nitrogen, and phosphorous

Lochmatter, Samuel; Holliger, Christof

doi:10.1016/j.watres.2014.04.011

Cited by 66 publications

(44 citation statements)

References 49 publications

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“…As confirmed by other studies, in the early stage of granulation process, only carbon removal occurred. Much longer periods, in the order of 60e150 days have been reported for the achievement of high N removal performances (Lochmatter and Holliger, 2014), due to severe washout occurring in the first weeks of the granulation process. So N-removal process may be a lengthy process because nitrifiers are slow growing microorganisms.…”

mentioning

confidence: 99%

Cultivation of granular sludge with hypersaline oily wastewater

Corsino

Campo

Bella

et al. 2015

International Biodeterioration & Biodegradation

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a b s t r a c tThe time required to stabilise mature aerobic granules is rather variable. In addition, cultivation time and the structural characteristics of granules seem to be related to the nature of wastewater influent. Granular sludge has been used for the treatment of several industrial wastewaters, but nothing has been reported about wastewater characterized by the simultaneous presence of hydrocarbons and high chloride concentration. In this work, the authors analysed the granulation process and performance as well as the physical characteristics of aerobic granules in two Granular Sequencing Batch Airlift Reactors (GSBARs), fed with acetate-based synthetic wastewater in reactor 1 (R1) and with a mixture of real and simulated slop (R2). The results obtained in 100 days show that full granulation was achieved in both reactors. The granules in R2 developed more quickly, but they appeared slightly unstable and more susceptible to breaking. Despite high salt concentration, the efficiency of phosphorous and carbon removal was satisfactory. Low nitrification activity was observed in R1, confirming that a longer time is necessary to obtain the acclimation of autotrophic biomass in aerobic granules. In R2 the combined effect of salinity and hydrocarbons caused the inhibition of the autotrophic biomass, with the consequence that nitrification was absent. Hydrocarbons were initially removed by adsorption afterwards by biological degradation with a removal efficiency of over 90%.

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confidence: 99%

Cultivation of granular sludge with hypersaline oily wastewater

Corsino

Campo

Bella

et al. 2015

International Biodeterioration & Biodegradation

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“…Instructive contributions of Taguchi-inspired water-quality studies may be identified with respect to increasing toxic-substance removal efficiencies [23,24]. Structured experimentation which is assisted by Taguchi-type solvers has demonstrated promising outcomes for eco-designing operations for innovative wastewater treatment [25][26][27][28].…”

Section: Taguchi-type Screening/optimization For Water Quality Improvmentioning

confidence: 99%

Screening dense and noisy DOX-datasets with NN-blending and “dizzy” swarm intelligence: Profiling a water quality process

Besseris

2017

Swarm and Evolutionary Computation

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A novel nature-inspired method is presented in this work for resolving product/process development or improvement with design of experiments (DOX). The technique is suitable for difficult Taguchi-type multifactorial screening and optimization studies that need to simultaneously contain the double hassle of controllable and uncontrollable noise intrusions. The three-part sequential processing routine requires: 1) a regressive data-compression preprocessing, 2) a smart-sample generation using general-regression neural networks (GRNN), and 3) a screening power prediction using 'reverse' swarm intelligence (SI). The approach is primed to confront potential non-linearity and data messiness in the examined effects. The Taguchi-type orthogonal-array (OA) sampler is tuned for retrieving information in controllable (outer OA) and uncontrollable (inner OA) noises. The OA-saturation condition is elicited for maximum data exploitation. GRNN-fuzzification consolidates into a single contribution the uncertainty from all possible sources. The resulting 'smart' sample is defuzzified by a robust-and-agile data reduction. Screeningsolution meta-power is controlled with a new SI-variant. The independent swarm groups, as many as the studied effects, are tracked toward preassigned targets, i.e. their ability to return to their host beehives. The technique is illustrated on a complex purification process where published multifactorial data had been collected for a critical wastewater paradigm and thus may be used to test the benchmark solution. However, environmental water-qualimetrics are profoundly dominated by messy data as justified in this work. We elucidate on several issues that regular Taguchi methods may be benefited by the proposed GRNN/SI processing while emphasizing the consequence of overlooking the underlying assumptions that govern standard comparison models. The new swarm itelligence method offered a practical way to estimate a first-time "soft" power measure for the inner/outer OA optimization case that was impossible with ordinary statistical multi-factorrial treatments. Key performance advantages in efficiency, robustness and convenience are highlighted against alternative approaches.

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“…Usually, AGS can be cultivated using single reactor of SBR systems with airlift or bubble column reactors because nitrification, denitrification and biological phosphorus removal could carried out within the granules [9]. There is a study within lab scale that is demonstrated to identify the most vital feature that influencing the development of AGS such as organic loading rate, hydrodynamic shear force, settling time, and substrate composition [10]. AGS formation is a complex ecological process and it may influenced by other parameters that need to be further examined.…”

Section: Introductionmentioning

confidence: 99%

“…AGS formation is a complex ecological process and it may influenced by other parameters that need to be further examined. Ordinarily the studies of aerobic granular sludge using SBR system (AGS-SBR) were performed at 20-25 °C [5] or lower [10]. Therefore, it is not suitable for the country with hot weather or climate likes Arab Saudi.…”

Section: Introductionmentioning

confidence: 99%

Parameter Optimisation of Aerobic Granular Sludge at High Temperature Using Response Surface Methodology

Ibrahim

Wahab

Anuar

et al. 2017

IJECE

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This paper proposes an improved optimisation of sequencing batch reactors (SBR) for aerobic granular sludge (AGS) at high temperature-low humidity for domestic wastewater treatment using response surface methodology (RSM). The main advantages of RSM are less number of experiment required and suitable for complex process. The sludge from a conventional activated sludge wastewater treatment plant and three sequencing batch reactors (SBRs) were fed with synthetic wastewater. The experiment were carried out at different high temperatures (30, 40 and 50°C) and the formation of AGS for simultaneous organics and nutrients removal were examined in 60 days. RSM is used to model and to optimize the biological parameters for chemical oxygen demand (COD) and total phosphorus removal in SBR system. The simulation results showed that at temperature of 45.33°C give the optimum condition for the total removal of COD and phosphorus, which correspond to performance index R 2 of 0.955 and 0.91, respectively.

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Optimization of operation conditions for the startup of aerobic granular sludge reactors biologically removing carbon, nitrogen, and phosphorous

Cited by 66 publications

References 49 publications

Cultivation of granular sludge with hypersaline oily wastewater

Cultivation of granular sludge with hypersaline oily wastewater

Screening dense and noisy DOX-datasets with NN-blending and “dizzy” swarm intelligence: Profiling a water quality process

Parameter Optimisation of Aerobic Granular Sludge at High Temperature Using Response Surface Methodology

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