Kinetic Model of Biogas Production from Co-digestion of Thai Rice Noodle Wastewater (Khanomjeen) with Chicken Manure

Jijai, Sunwanee; Siripatana, Chairat

doi:10.1016/j.egypro.2017.10.177

Cited by 27 publications

(16 citation statements)

References 17 publications

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“…From model fitting in Table 5 and their ABE curves of co-digestion between distillery wastewater and molasses, the use of Monod two-substrate kinetics with an intermediate showed better prediction than the use of simple Monod kinetics, with a regression coefficient R-square higher than 0.98. Furthermore, the estimated microbial growth rates from Monod model fitting are much smaller than the estimated microbial growth rates from the M2SI model and misconceive compared with a range from 0.1 d À1 to 0.5 d À1 obtained from a similar complex co-digestion in previous work (Jijai & Siripatana 2017). However, the M2SI predictions did not show pronounced preferences for consumed co-substrates by two different groups of microorganisms from their ABE curves since all types of degradation were dominated by the maximum growth rate of microbial activity to generate and consume an intermediate.…”

Section: Resultsmentioning

confidence: 50%

Application of monod two-substrate kinetics with an intermediate for anaerobic co-digestion of distillery wastewater and molasses/glycerol waste in batch experiments

Phayungphan

Rakmak

Promraksa

2020

Water Practice and Technology

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Anaerobic digestion is a highly complex process, particularly in co-digestion between poorly-defined, complex co-substrates like distillery wastewater, molasses, and crude glycerine. Thus, in this article, the authors tackled the problems by using Monod two-substrate with an intermediate (M2SI) model to represent accumulated biomethane evolution (ABE) obtained from the co-substrates, including easily degradable, slowly degradable substrates and intermediate. The M2SI model predictions were compared with the traditional Monod model's simulation results to clarify an outstanding of the present model in the aspect of modeling and control. Different behaviors of ABE curves from batch experiments were used to calibrate the M2SI model prediction with sensitivity analysis of the model parameters. It was found that the M2SI model gives a correct trend to describe the co-digestion process with multiple substrates and complex microbial activities with satisfactory fitting accuracy. At the same time, simple Monod kinetics have a good fit for dilute pure distillery wastewater, but the estimated microbial growth kinetics were counterintuitive. Therefore, the M2SI Model has a broader range of applications for co-digestion dealing with the complexity of multiple microbial activities to consume inherently complex or artificial co-substrates.

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Section: Resultsmentioning

confidence: 50%

Application of monod two-substrate kinetics with an intermediate for anaerobic co-digestion of distillery wastewater and molasses/glycerol waste in batch experiments

Phayungphan

Rakmak

Promraksa

2020

Water Practice and Technology

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“…Both models revealed the lowest value of the RMSE (0.0003 and 0.0810, respectively); the percentage differences between the predicted and measured data for FWCD WM and FWCD CM were 1.44% and 12.98%, respectively. Most previous studies found the modified Gompertz model as the best-fit model [25,26]. The least percentage difference in biogas between experiment and model was FW CM for the modified Gompertz model, followed by the logistic model, at 0.16% and 0.18%, respectively.…”

Section: Kinetic Analysis Of Biogas Production From Bmp Testmentioning

confidence: 88%

“…To improve the AD performance using FW, codigestion of FW with another cosubstrate has been widely discussed. Previous studies have highlighted that the performance of the digester was increased using codigestion of FW with CD [21,[23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

“…The first stage operated at 55 • C (hydrolysis stage) for 55 days, and was followed by a second-stage AD at 37 • C. Despite the role of CD as the cosubstrate in AD of FW to improve system performance, knowledge regarding the kinetic evaluation in mesophilic conditions without any pretreatment remains inadequate. Previous studies by Jijai and Siripatana [25] and Deepanraj et al [26] demonstrated batch anaerobic codigestion of FWCD and evaluated the best-fit kinetic model among first-order, modified Gompertz, and logistic models by comparing between experimental results and predicted data. None of the previous studies on codigestion of FWCD focused on the effects of mixing on kinetic model parameters.…”

Section: Introductionmentioning

confidence: 99%

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Anaerobic Digestion, Codigestion of Food Waste, and Chicken Dung: Correlation of Kinetic Parameters with Digester Performance and On-Farm Electrical Energy Generation Potential

et al. 2022

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Valorization of agro-food waste through anaerobic digestion (AD) is gaining prominence as alternative method of waste minimization and renewable energy production. The aim of this study was to identify the key parameters for digester performance subjected to kinetic study and semicontinuous operation. Biochemical methane potential (BMP) tests were conducted in two different operating conditions: without mixing (WM) and continuous mixing (CM). Three different substrates, including food waste (FW), chicken dung (CD), and codigestion of FW and CD (FWCD) were used. Further kinetic evaluation was performed to identify mixing’s effect on kinetic parameters and correlation of the kinetic parameters with digester performance (volatile solid removal (VS%) and specific methane production (SMP)). The four models applied were: modified Gompertz, logistic, first-order, and Monod. It was found that the CM mode revealed higher values of Rm and k as compared to the WM mode, and the trend was consistently observed in the modified Gompertz model. Nonetheless, the logistic model demonstrated good correlation of kinetic parameters with VS% and SMP. In the continuous systems, the optimum OLR was recorded at 4, 5, and 7 g VS/L/d for FW, CD, and FWCD respectively. Therefore, it was deduced that codigestion significantly improved digester performance. Electrical energy generation at the laboratory scale was 0.002, 0.003, and 0.006 kWh for the FW, CD, and FWCD substrates, respectively. Thus, projected electrical energy generation at the on-farm scale was 372 kWh, 382 kWh, and 518 kWh per day, respectively. Hence, the output could be used as a precursor for large-scale digester-system optimization.

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“…The different parameters required to characterize the process complicates the development of a well intelligible model. However, several kinetics models have been developed and applied in describing anaerobic digestion process [26][27][28][29][30]. Several compositional analyses conducted on agrowastes [31,32] have shown that they are highly complex and multi-component in nature, some with two or more carbon and energy sources such as lignocellulose, starch, fat, etc.…”

Section: Introductionmentioning

confidence: 99%

Modelling of Biphasic Biogas Production Process from Mixtures of Livestock Manure Using Bi-logistic Function and Modified Gompertz Equation

Opurum

Nweke

Nwanyanwu

et al. 2021

ARRB

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In this study, anaerobic digestion (AD) of three livestock manure: (poultry manure (PM), pig dung (PD), and cow dung (CD) was conducted at different mixed ratios under mesophilic (25-35°C) conditions. Two kinetic models, the modified Gompertz and bi-logistic function model were used to simulate the cumulative biogas yield from the experiments, and model parameters simultaneously obtained. The biogas production profile appeared diauxic-like or biphasic with multiple peaks, revealing the complexity and multi-component nature of the substrates. There was an increase in biogas yield from the treatments, PD/CD 1:1; 37.25 dm3 (3.47%), PD/CD 3:1; 38.41 dm3 (6.96%), CD/PM 1:1; 26.76 dm3 (16.80%) and CD/PM 3:1 24.31 dm3 (6.11%), whereas PD/CD 2:1 (15.41 dm3) and CD/PM 2:1 (22.57 dm3) exhibited inhibitory effect. However, statistical analysis (ANOVA) indicated a significant difference in biogas yield from PD alone (36 dm3) compared to CD alone (22.91 dm3). The two models showed good performance in the simulation of the AD process, with high correlation coefficients, an indication of a very strong relationship between experimental data and model parameters. However, the bi-logistic function model showed a better fit in the simulation of the experimental values, as it was able to capture the curves in the plots, with a higher correlation coefficient R2 (0.9920 - 0.9985) than the modified Gompertz model (0.9797 - 0.9968). This work has shown that the phenomenon of diauxic growth in the anaerobic digestion of complex organic substrates could be captured quantitatively in the kinetic model using bi-logistic function model.

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Kinetic Model of Biogas Production from Co-digestion of Thai Rice Noodle Wastewater (Khanomjeen) with Chicken Manure

Cited by 27 publications

References 17 publications

Application of monod two-substrate kinetics with an intermediate for anaerobic co-digestion of distillery wastewater and molasses/glycerol waste in batch experiments

Application of monod two-substrate kinetics with an intermediate for anaerobic co-digestion of distillery wastewater and molasses/glycerol waste in batch experiments

Anaerobic Digestion, Codigestion of Food Waste, and Chicken Dung: Correlation of Kinetic Parameters with Digester Performance and On-Farm Electrical Energy Generation Potential

Modelling of Biphasic Biogas Production Process from Mixtures of Livestock Manure Using Bi-logistic Function and Modified Gompertz Equation

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