Substrate utilization kinetic model for biological treatment process

Chen, Y. R.; Hashimoto, Andrew G.

doi:10.1002/bit.260221008

Cited by 172 publications

(70 citation statements)

References 14 publications

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“…It is worthy to note that the volatile matter content of the cow dung used in this study was 58.7%, which is indicative of a low carbon source. Thus, if the biodegradability of the cattle cow dung is assumed to be 41.6% (Chen, Hashimoto 1980) or 36% (Hill 1983), then the level of lignin in the digesters D and E would be significantly high to prevent degradation of these substrates in these digesters (Haug 1993). This is also coupled with the low carbon to nitrogen ration of these digesters, hence, subsequent discussions would be limited to digesters A-C. Digester B provided an adequate balance between the carbon to nitrogen ratio, which lies between the optimum of 20:1-30:1 (Marchaim 1992) and the lignin content.…”

Section: Resultsmentioning

confidence: 99%

Ambient temperature kinetic assessment of biogas production from co-digestion of horse and cow dung

Yusuf¹,

Debora²,

Ogheneruona³

2011

Res. Agric. Eng.

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Yusuf M.O.L., Debora A., Ogheneruona D.E., 2011. Ambient temperature kinetic assessment of biogas production from co-digestion of horse and cow dung. Res. Agr. Eng., 57: 97-104.Biogas production from 5 batch digesters containing varying ratio of mix of horse and cow dung was studied for a period of 30 days at ambient temperature. It was observed that biogas production was optimized when horse and cow dung were mixed in a ratio of 3:1. The modified Gompertz equation was used to adequately describe the cumulative biogas production from these digesters. In addition, a modified first order model was developed to assess the kinetics of the biodegradation process. It was observed that the rates of substrate biodegradability and of removal of the biodegradable fractions of the substrate could be obtained by plotting 1/t (ln(dyt/dt)) against the inverse of time of digestion. This modified first order model also showed that the digester containing horse dung and cow dung in the ratio of 3:1 had the highest short term anaerobic biodegradability index (STABI) of 3.96 at room temperature.

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Section: Resultsmentioning

confidence: 99%

Ambient temperature kinetic assessment of biogas production from co-digestion of horse and cow dung

Yusuf¹,

Debora²,

Ogheneruona³

2011

Res. Agric. Eng.

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“…Chen and Hashimoto's model (Chen and Hashimoto, 1979;Chen and Hashimoto, 1980) was used to determine the critical retention time for FW (Tosun et al, 2004). This model is a modification of the Contois model (Contois, 1959) and is based on fundamental biochemical principles and has been found to be reliable predictive tool in applications regarding digestion of wastes with substantial TS content (Fongsatitkul et al, 2012).…”

Section: Critical Retention Timementioning

confidence: 99%

Evaluation of the Biogas Productivity Potential of Fish Waste: A Lab Scale Batch Study

Kafle¹,

Kim²

2012

Journal of Biosystems Engineering

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Purpose:The biogas productivity potential of fish waste (FW) was evaluated. Methods: Batch trials were carried out in 1.3 L glass digesters kept in a temperature controlled chambers at 36.5˚C. The first order kinetic model and the modified Gompertz model were evaluated for biogas production. The Chen and Hashimoto model was used to determine the critical hydraulic retention time (HRT Critical) for FW under mesophilic conditions. The feasibility of co-digestion of FW with animal manure was studied. Results: The biogas and methane potential of FW was found to be 757 and 554 mL/g VS, respectively. The methane content in the biogas produced from FW was found to be 73% and VS removal was found to be 77%. There was smaller difference between measured and predicted biogas production when using the modified Gompertz model (16.5%) than using first order kinetic model (31%). The time period for 80%-90% of biogas production (T80-90) from FW was calculated to be 50.3-53.5 days. Similarly, the HRT Critical for FW was calculated to be 13 days under mesophilic conditions. The methane production from swine manure (SM) and cow manure (CM) digesters could be enhanced by 13%-115% and 17%-152% by mixing 10%-90% of FW with SM and CM, respectively. Conclusions: The FW was found to be highly potential substrate for anaerobic digestion for biogas production. The modified Gompertz model could be more appropriate in describing anaerobic digestion process of FW. It could be promising for co-digestion of FW with animal manure.

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“…Based on kinetic equations such as Monod or Contois equation, an unstructured nonsegregated model [13,14] and an unstructured segregated model [15] are proposed. The process inhabition due to sudden changes in organic loading rates, accumulation of volatile fatty acids and acidic conditions always marked the question mark on the stability of anaerobic digestion fermentation.…”

Section: Introductionmentioning

confidence: 99%

Predictive Modeling of Biogas Production from Anaerobic Digestion of Mixed Kitchen Waste at Mesophilic Temperature

Ali¹,

Li²,

Shah³

et al. 2016

Int J Waste Resour

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Growth of population is directly influencing the municipal solid waste generation rate. Although, kitchen waste is disposed of mostly in developing countries and its potential of biogas production is not explored well. Anaerobic digestion provides opportunity of twofold benefits i.e. pollution abutment for environmental protection and biogas generation for sharing energy load. Present study was intended to understand the biogas production process at mesophilic temperature (37°C). The organic waste from kitchen was used to make up substrate, which was anaerobically digested in an experimental continues stirred tank reactor (CSTR). Inhibition phase was detected when the graph was plotted for first 60 days and about 28th day it was inhabited. Biogas production from recovered condition was subjected to statistical analysis. Simple regression yielded a good predictive model that gave a correlation of 0.995 despite of including the inhibition phase in complete analysis. An acceptable agreement between observed and modeled biogas production (BGP) rates has vetted sanctity of regression based predictive model. Such models can also be used to keep check on digestion process for optimization of biogas yield and deciding the substrate feeding rate and concentration on time scale.

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Substrate utilization kinetic model for biological treatment process

Cited by 172 publications

References 14 publications

Ambient temperature kinetic assessment of biogas production from co-digestion of horse and cow dung

Ambient temperature kinetic assessment of biogas production from co-digestion of horse and cow dung

Evaluation of the Biogas Productivity Potential of Fish Waste: A Lab Scale Batch Study

Predictive Modeling of Biogas Production from Anaerobic Digestion of Mixed Kitchen Waste at Mesophilic Temperature

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