Aerobic granular sludge processes

Liu, Xiang; Lee, Dong Hoon

doi:10.1016/b978-0-323-99874-1.00002-6

Cited by 4 publications

(4 citation statements)

References 167 publications

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“…The strengths and advantages of this solution have spurred the interest of researchers, operators, and designers, which has consequently led to a growing number of commercial-scale installations [3,4]. The use of AGS has been shown to allow simplifying the technology, increasing the resistance of the biological system to the variability of wastewater composition, shortening the reactor operation cycle, resigning from the need to ensure variable oxygen conditions in order to remove nutrients, and simplifying the methods of excess sludge separation [5]. The AGS-based wastewater treatment systems are now widely accepted as promising and future-proof solutions due to their high level of 2 of 21 technical readiness, optimized processes for growing stable granules, and established and verified parameters of pollutant biodegradation [6].…”

Section: Introductionmentioning

confidence: 99%

Technological, Ecological, and Energy-Economic Aspects of Using Solidified Carbon Dioxide for Aerobic Granular Sludge Pre-Treatment Prior to Anaerobic Digestion

Kazimierowicz

Dębowski

Zieliński

2023

IJERPH

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The technology of aerobic granular sludge (AGS) seems prospective in wastewater bio-treatment. The characteristics as well as compactness and structure of AGS have been proved to significantly affect the effectiveness of thus far deployed methods for sewage sludge processing, including anaerobic digestion (AD). Therefore, it is deemed necessary to extend knowledge on the possibilities of efficient AGS management and to seek viable technological solutions for methane fermentation of sludge of this type, including by means of using the pre-treatment step. Little is known about the pre-treatment method with solidified carbon dioxide (SCO2), which can be recovered in processes of biogas upgrading and enrichment, leading to biomethane production. This study aimed to determine the impact of AGS pre-treatment with SCO2 on the efficiency of its AD. An energy balance and a simplified economic analysis of the process were also carried out. It was found that an increasing dose of SCO2 applied in the pre-treatment increased the concentrations of COD, N-NH4+, and P-PO43− in the supernatant in the range of the SCO2/AGS volume ratios from 0.0 to 0.3. No statistically significant differences were noted above the latter value. The highest unit yields of biogas and methane production, reaching 476 ± 20 cm3/gVS and 341 ± 13 cm3/gVS, respectively, were obtained in the variant with the SCO2/AGS ratio of 0.3. This experimental variant also produced the highest positive net energy gain, reaching 1047.85 ± 20 kWh/ton total solids (TS). The use of the higher than 0.3 SCO2 doses was proved to significantly reduce the pH of AGS (below 6.5), thereby directly diminishing the percentage of methanogenic bacteria in the anaerobic bacterial community, which in turn contributed to a reduced CH4 fraction in the biogas.

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Section: Introductionmentioning

confidence: 99%

Technological, Ecological, and Energy-Economic Aspects of Using Solidified Carbon Dioxide for Aerobic Granular Sludge Pre-Treatment Prior to Anaerobic Digestion

Kazimierowicz

Dębowski

Zieliński

2023

IJERPH

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“…On the other hand, when low shear strengths of 0.8 and 1.6 cm s −1 were applied, the developed granules deteriorated until they became large filamentous granules with irregular shapes and loose structure, resulting in low efficiency and instability in operation. Liu and Lee [6] reported that hydrodynamic shear strength also stimulates the generation of EPS necessary for sludge agglomeration during AGS formation through the applied stress conditions. The latter could induce the production of polysaccharides, which promotes the attachment of bacterial cells and other particles, allowing granulation and AGS stability.…”

Section: Effect Of Armentioning

confidence: 99%

“…To improve, promote, and standardize their practical application in wastewater treatment, researchers worldwide have extensively investigated the fundamentals of AGS systems to understand their performance capacities, microbial interrelationships, and structural properties [5]. Therefore, many studies have specifically focused on identifying the effects of the operating factors that influence AGS processes [6,7]. Since the operating factors applied are closely tied to AGS performance, these processes may be identified as complex systems that are almost unpredictable.…”

Section: Introductionmentioning

confidence: 99%

RSM and ANN Comparative Modelling with a Granulation Treatment in Mixed Waters

Sanchez‐Sanchez,

Morales‐Rivera,

Moeller‐Chávez

et al. 2024

Chem Eng & Technol

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A Box‐Behnken design was used for the analysis using a gray wolf optimizer (GWO)‐coupled artificial neural network (ANN) model and response surface methodology (RSM) to analyze the effect of three operating parameters (volumetric exchange ratio [VER], aeration rate [AR], and cycle time [CT]) manipulated during an aerobic granular sludge process (AGS) sequencing batch reactor on modeling the removal of chemical oxygen demand (COD) in mixed wastewater. The most efficient architecture for COD showed the highest efficiency for modeling the AGS. The RSM model and plot results indicate that the CT and AR were the most influential on COD removal efficiency. When compared with models with statistical indices, GWO‐ANN demonstrated higher performance compared to RSM.

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“…To improve, promote, and standardize their practical application for wastewater treatment, researchers worldwide extensively investigated the fundamentals of AGS systems to understand their performance capacities, microbial interrelationships, and structural properties [6]. Therefore, many studies specifically focused on identifying the effect of operating factors that influence AGS processes, such as organic loading rate (OLR), pH, dissolved oxygen (DO), volumetric exchange ratio (VER), temperature, aeration rate (AR), cycle time (CT), and the ratio of chemical oxygen demand to nitrogen (COD/N), among other [7,8]. Since the operating factors applied are closely tied to AGS performance, these processes may be identified as complex and largely unpredictable systems.…”

Section: Introductionmentioning

confidence: 99%

Total phosphorus and total Kjeldahl nitrogen removal using an aerobic granular sludge process. Case studies ANN and RSM modeling

Sanchez-Sanchez,

Flores-Gomez,

Moeller-Chávez

et al. 2024

Environ. Protect. Eng.

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Removing nutrients from wastewater is essential because high concentrations in aquatic systems lead to severe eutrophication problems, the most common impairment of surface waters such as lakes and oceans. Total phosphorus (TP) and total Kjeldahl nitrogen (TKN) were removed from mixed wastewater using an aerobic granular sludge process in a sequencing batch reactor (AGS-SBR). An artificial neural network (ANN) and response surface methodology (RSM) were applied to evaluate the main parameters of the process. For TKN removal, only cycle time (CT) (0.0475) was a significant variable, achieving removal efficiencies of up to 81%. In TP case removal, two parameters, VER and AR, were substantial for this process, completing elimination efficiencies of around 40%. On comparing the models with statistical indices, ANN coupled with the moth-flame optimization algorithm (ANN-MFO) demonstrated higher performance with an adjusted R2 (0.9866) for the case of TP removal and (0.9519) for TKN removal.

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Aerobic granular sludge processes

Cited by 4 publications

References 167 publications

Technological, Ecological, and Energy-Economic Aspects of Using Solidified Carbon Dioxide for Aerobic Granular Sludge Pre-Treatment Prior to Anaerobic Digestion

Technological, Ecological, and Energy-Economic Aspects of Using Solidified Carbon Dioxide for Aerobic Granular Sludge Pre-Treatment Prior to Anaerobic Digestion

RSM and ANN Comparative Modelling with a Granulation Treatment in Mixed Waters

Total phosphorus and total Kjeldahl nitrogen removal using an aerobic granular sludge process. Case studies ANN and RSM modeling

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