Mathematical Modelling of the Removal of Organic Micropollutants in the Activated Sludge Process: A Linear Biodegradation Model

Nelson, Mark; Alqahtani, Rubayyi T.; Hai, Faisal I.

doi:10.1017/s1446181118000226

Cited by 3 publications

(2 citation statements)

References 39 publications

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“…This implied that the well-being of the active microbial population in the activated sludge process was controlled [27]. The optimum amount of secondary sludge wasting increases the treatment performance and effectively controls biomass population [28].…”

Section: Analysis Of the Influence Of Influent Flow (Q Inf ) Primary ...mentioning

confidence: 99%

Enhancing Textile Wastewater Treatment Performance: Optimization and Troubleshooting (Decision Support) via GPS-X Model

Wondim,

Dzwairo,

Aklog

et al. 2023

Processes

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Textile factory water consumption could be optimized to minimize the generation of wastewater, reduce treatment costs, and promote resource recovery. However, downstream plant operation and management is a prime concern in the textile industry, particularly bringing treated wastewater effluent to an acceptable discharge limit. The aim of the study was to optimize key process control parameters to the observed operational challenges of existing processes and suggest an operational guide to the operators and decision makers to enhance the treatment performance in GPS-X. The formulated troubleshooting and decision support strategy, and the optimization results of waste-activated sludge in the primary and secondary clarifiers, was within the range of 15 ± 5 m3/d and 83 ± 7 m3/d, respectively, with a recycle-activated sludge flow of 150 ± 10 m3/d. The sludge retention time was 5 ± 1 d and 6.7 ± 0.5 d in the secondary and primary clarifiers, respectively. The addition of a carbon source in the form of molasses had a flow of 0.5 ± 0.05 m3/d, and the variation in the influent due to wastewater characteristics and rainfall was optimized to 600 ± 50 m3/d. The optimum air flow into the aeration tank was 550 ± 5 m3/hr and saved 91.5% of energy in the optimized process. Thus, the study is indispensable for the effective and efficient operation of the plant and serves as a good guide to the plant operators and decision makers for the best course of action.

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Section: Analysis Of the Influence Of Influent Flow (Q Inf ) Primary ...mentioning

confidence: 99%

Enhancing Textile Wastewater Treatment Performance: Optimization and Troubleshooting (Decision Support) via GPS-X Model

Wondim,

Dzwairo,

Aklog

et al. 2023

Processes

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“…Nelson et al. presented a mathematical model in [10] that shows alternative techniques to removing micropollutants in the activated sludge process. They outline the biological events and processes that their model includes.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Analysis of Biodegradation Model under Nonlocal Operator in Caputo Sense

2021

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To lower the concentration of organic pollutants in the effluent stream, wastewater must be treated before being discharged into the environment. The question of whether wastewater treatment facilities can successfully reduce the concentration of micropollutants found in their influent streams is becoming increasingly pressing. The removal of micropollutants in treatment plants is investigated using a model that incorporates biodegradation and sorption as the key processes of micropollutant removal. This article provides the mathematical analysis of the wastewater model that describes the removal of micropollutant in treatment plants under a non-local operator in Caputo sense. The positivity of the solution is presented for the Caputo fractional model. The steady state’s solution of model and their stability is presented. The fixed point theorems of Leray–Schauder and Banach are used to deduce results regarding the existence of the solution of the model. Ulam–Hyers (UH) types of stabilities are presented via functional analysis. The fractional Euler method is used to find the numerical results of the proposed model. The numerical results are illustrated via graphs to show the effects of recycle ratio and the impact of fractional order on the evolution of the model.

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A mathematical model for the activated sludge process with a sludge disintegration unit

Alsaeed

Nelson

Edwards

et al. 2022

Chemical Product and Process Modeling

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We develop and investigate a model for sludge production in the activated sludge process when a biological reactor is coupled to a sludge disintegration unit (SDU). The model for the biological reactor is a slimmed down version of the activated sludge model 1 in which only processes related to carbon are retained. Consequently, the death-regeneration concept is included in our model which is an improvement on almost all previous models. This provides an improved representation of the total suspended solids in the biological reactor, which is the key parameter of interest. We investigate the steady-state behaviour of this system as a function of the residence time within the biological reactor and as a function of parameters associated with the operation of the SDU. A key parameter is the sludge disintegration factor. As this parameter is increased the concentration of total suspended solids within the biological reactor decreases at the expense increasing the chemical oxygen demand in the effluent stream. The existence of a maximum acceptable chemical oxygen demand in the effluent stream therefore imposes a maximum achievable reduction in the total suspended solids. This paper improves our theoretical understanding of the utility of sludge disintegration as a means to reduce excess sludge formation. As an aside to the main thrust of our paper we investigate the common assumption that the sludge disintegration processes occur on a much shorter timescale than the biological processes. We show that the disintegration processes must be exceptional slow before the inclusion of the biological processes becomes important.

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Mathematical Modelling of the Removal of Organic Micropollutants in the Activated Sludge Process: A Linear Biodegradation Model

Cited by 3 publications

References 39 publications

Enhancing Textile Wastewater Treatment Performance: Optimization and Troubleshooting (Decision Support) via GPS-X Model

Enhancing Textile Wastewater Treatment Performance: Optimization and Troubleshooting (Decision Support) via GPS-X Model

Mathematical Analysis of Biodegradation Model under Nonlocal Operator in Caputo Sense

A mathematical model for the activated sludge process with a sludge disintegration unit

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