Modelling of Two-Stage Anaerobic Treating Wastewater from a Molasses-Based Ethanol Distillery with the IWA Anaerobic Digestion Model No.1

Taruyanon, Kittikhun; Tejasen, Sarun

doi:10.4186/ej.2010.14.1.25

Cited by 11 publications

(2 citation statements)

References 12 publications

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“…In the integrated model, values for nonsensitive parameters were adopted from public reports, while sensitive parameters were calibrated. Similarly, sensitive parameters were calibrated while modeling a UASB reactor treating wastewater from a molasses-based ethanol distillery [23]. In these two studies, the original form of ADM1 was maintained.…”

Section: Reactor Modeling With Anaerobic Digestion Model 1 (Adm1)mentioning

confidence: 99%

Approaches for Modeling Anaerobic Granule-Based Reactors

Yang¹

2020

Bacterial Biofilms

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Anaerobic granule sludge is a self-forming biofilm. This biofilm can be developed without the presence of bio-carriers. Anaerobic granule sludge-based technologies are dominant technologies in the field of anaerobic wastewater treatment. Although they are successful technologies, many efforts are still needed for a better understanding of the granules and granule-based reactors because reactor failure can occur. Here, reactor modeling is highly helpful in understanding the performance of anaerobic bioreactors. A model that can accurately model bioprocesses in a sludge bed reactor and predict concentrations of effluent components is valuable. This is because the model can provide insights into the reactor and be useful in reactor control. Current models of granules are models on bioprocesses in a single granule sludge or on the hydrodynamics and biokinetics in a sludge bed reactor. Here, we review advances in reactor model and its applications as well as limitations and further improvements in the models.

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Section: Reactor Modeling With Anaerobic Digestion Model 1 (Adm1)mentioning

confidence: 99%

Approaches for Modeling Anaerobic Granule-Based Reactors

Yang¹

2020

Bacterial Biofilms

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“…In this research, waste water fractions and the kinetic parameters were determined based on the measured (prototype) data combined with the sensitivity analysis. The sensitivity analysis allowed the identification of the most important parameters which are needed to be adjusted during model calibration [23]. The influent wastewater fractions for the COD influent are tabulated in Table 5 below.…”

Section: Model Calibrationmentioning

confidence: 99%

Untitled

2017

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Wastewater treatment is the process of removing pollutants from liquid waste using physical, chemical and biological methods by converting it into an acceptable final effluent before discharging into a water body or reuse, and to safely dispose of solids generated during the treatment process. Limited parameters in Wastewater Treatment Plant (WWTP) are usually measured due to the significant cost and time involved with them.The mathematical modelling is increasingly becoming a well-established technique among researchers as well as practicing engineers to study the behaviour of wastewater treatment process as it provides more accurate predictions within the limited time frame at a reduced cost. Therefore, this technique can be used to study the engineering design of modern water resource recovery facilities that experience in increasing demands on control of effluent quality. The research work presented here is focused on studying the dynamic (time dependent) behaviours of the wastewater treatment plant in south east Queensland, Australia using the mathematical modelling technique implemented using Bio-Win software. The model developed has been calibrated and validated based on the measured data from the WWTP. The main benefit of this research work is that the developed and validated model can be used to study the non-measured important parameters of the WWTP. Keywords:Wastewater treatment process, mathematical model, bio-win, dynamic behaviour of wastewater treatment plant.

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