Kinetics Modeling of Anaerobic Fermentative Production of Methane from Kitchen Waste Solid Residual

2013 ◽  
Vol 864-867 ◽  
pp. 1253-1257
Author(s):  
Shu Mei Gao ◽  
Ming Xing Zhao ◽  
Wen Quan Ruan ◽  
Yu Ying Deng
Keyword(s):  
Methane Production ◽  
Logistic Function ◽  
Test System ◽  
Kitchen Waste ◽  
First Order Kinetics ◽  
Methane Potential ◽  
Waste Solid ◽  
Methane Production Rate ◽  
Substrate Ratio ◽  
Kinetics Of

A series of batch mesophilic anaerobic digesntion were conducted using an automatic methane potential test system (AMPTS) and the kinetics of methane production was also discussed using modified Gompertz equation, Logistic function, First-order kinetics model and Transference function, respectively. The results showed that the kitchen waste solid residual was of high biomethane potential, and the maximum specific methane yield was obtained 585 NmL/g TS at inoculums substrate ratio (ISR) 2:1. All of the four models could appropriately fit the accumulative methane production in steady state (R2>0.95), where the 1st-ordre model and Transference function were relatively much better (R2>0.99) than the other two models. The maximum methane production and maximum methane production rate obtained from the Transference function were 569.32 NmL/g TS and 150.22 NmL/g TS day; the maximum kinetics constant obtained from the 1st-order model was 0.272/day; the lag time (λ) was basically negligible in all the cases. These parameters were quite close to the experimental results.

Relationship of Substrate and Inoculum on Biochemical Methane Potential for Grass and Pig Manure Co-Digestion

2012 ◽  
Vol 512-515 ◽  
pp. 444-448 ◽  
Author(s):  
Sumeth Dechrugsa ◽  
Sumate Chaiprapat
Keyword(s):  
Methane Production ◽  
Methane Yield ◽  
Pig Manure ◽  
Biochemical Methane Potential ◽  
Production Potential ◽  
Methane Potential ◽  
Methane Production Rate ◽  
Substrate Ratio ◽  
Relationship Of ◽  
Careful Investigation

The effects of substrate mix ratio and inoculum/substrate ratio (ISR) on biochemical methane potential of para-grass (PG) and pig manure (PM) were investigated in batch test that maintained temperature at 35±1 oC and continuously shaked at 120 rpm. Cumulative methane production data at different mix ratios and ISRs were evaluated and fitted with Gompertz equation to derive methane production potential (mL) and maximum methane production rate (mL/d). The maximum and average methane yields at each respective ISR of 1, 2, 3, and 4 were [413.0, 315.5], [539.7, 455.6], [590.3, 472.5], and [593.1, 473.5] mL/gVSadded. Relationship of ISR and PG mix ratio to specific methane yield were expressed in quadratic regression model. The generated response surface showed that methane yield was elevated at higher ISR and higher PG mix ratio. This suggests a careful investigation at different ISR and substrate mix ratios should be performed in order to develop a realistic biochemical methane potential of anaerobic co-digestion.

scholarly journals The Performance Evaluation on Co-Digestion of Domestic Sewage Sludge and Food Waste for Methane Yield and Kinetics Analysis

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
Siti Mariam Sulaiman ◽  
◽  
Roslinda Seswoya ◽  
Keyword(s):  
Anaerobic Digestion ◽  
Sewage Sludge ◽  
Food Waste ◽  
Methane Production ◽  
Test System ◽  
Domestic Sewage ◽  
Methane Yield ◽  
Methane Potential ◽  
Methane Production Rate ◽  
Bmp Test

Sewage sludge and food waste; are organic wastes suitable for the anaerobic digestion. However, the digestion of sewage sludge and food waste as solely substrate is having a drawback in term of methane yield. Therefore, many researchers combined these two wastes as a co-substrate and used in co-digestion. This study focused to evaluate the anaerobic co-digestion of domestic sewage sludge (in form of primary and secondary sewage sludge) with food waste under mesophilic temperature in a batch assay. Two series of batch biochemical methane potential (BMP) test were conducted using the Automatic Methane Potential Test System (AMPTS II). Each set are labelled with BMP 1(PSS:FW) and BMP 2 (SSS:FW). The BMP tests were monitored automatically until the methane production is insignificant. Using the data observed in the laboratory, the kinetic paremeters were calculated. Also, the First-order and Modified Gompertz modeling were included to predict the anaerobic digestion performance. Finding showed that BMP 1(PSS:FW) have better performance with respect to the higher ultimate methane yield and methane production rate as compared to BMP 2 (SSS:FW). Besides, the kinetic parameters from laboratory work and modeling were slightly different. In which the kinetic paremetes from modelling is lesser. However, both modelling are well fitted to the experimental data with high correlation coefficient, R2 ranged from 0.993 to 0.997.

scholarly journals Methods for the Evaluation of Industrial Mechanical Pretreatments before Anaerobic Digesters

Molecules ◽  
2020 ◽  
Vol 25 (4) ◽  
pp. 860 ◽  
Author(s):  
Helen Coarita Fernandez ◽  
Diana Amaya Ramirez ◽  
Ruben Teixeira Franco ◽  
Pierre Buffière ◽  
Rémy Bayard
Keyword(s):  
Particle Size ◽  
Rheological Properties ◽  
Production Rate ◽  
Methane Production ◽  
Water Retention Capacity ◽  
Retention Capacity ◽  
Anaerobic Digesters ◽  
Before And After ◽  
Methane Potential ◽  
Methane Production Rate

Different methods were tested to evaluate the performance of a pretreatment before anaerobic digestion. Besides conventional biochemical parameters, such as the biochemical methane potential (BMP), the methane production rate, or the extent of solubilization of organic compounds, methods for physical characterization were also developed in the present work. Criteria, such as the particle size distribution, the water retention capacity, and the rheological properties, were thus measured. These methods were tested on samples taken in two full-scale digesters operating with cattle manure as a substrate and using hammer mills. The comparison of samples taken before and after the pretreatment unit showed no significant improvement in the methane potential. However, the methane production rate increased by 15% and 26% for the two hammer mills, respectively. A relevant improvement of the rheological properties was also observed. This feature is likely correlated with the average reduction in particle size during the pretreatment operation, but these results needs confirmation in a wider range of systems.

Effect of three pretreatment techniques on the chemical composition and on the methane yields of Opuntia ficus-indica (prickly pear) biomass

2017 ◽  
Vol 36 (1) ◽  
pp. 17-29 ◽  
Author(s):  
PS Calabrò ◽  
E Catalán ◽  
A Folino ◽  
A Sánchez ◽  
D Komilis
Keyword(s):  
Chemical Composition ◽  
Methane Production ◽  
Lignin Content ◽  
Alkaline Treatment ◽  
Methane Yield ◽  
Opuntia Ficus Indica ◽  
Methane Generation ◽  
Methane Potential ◽  
Methane Production Rate ◽  
Experimental Values

Opuntia ficus-indica (OFI) is an emerging biomass that has the potential to be used as substrate in anaerobic digestion. The goal of this work was to investigate the effect of three pretreatment techniques (thermal, alkaline, acidic) on the chemical composition and the methane yield of OFI biomass. A composite experimental design with three factors and two to three levels was implemented, and regression modelling was employed using a total of 10 biochemical methane potential (BMP) tests. The measured methane yields ranged from 289 to 604 NmL/gVSadded; according to the results, only the acidic pretreatment (HCl) was found to significantly increase methane generation. However, as the experimental values were quite high with regards to the theoretical methane yield of the substrate, this effect still needs to be confirmed via further research. The alkaline pretreatment (NaOH) did not noticeably affect methane yields (an average reduction of 8% was recorded), despite the fact that it did significantly reduce the lignin content. Thermal pretreatment had no effect on the methane yields or the chemical composition. Scanning electron microscopy images revealed changes in the chemical structure after the addition of NaOH and HCl. Modelling of the cumulated methane production by the Gompertz modified equation was successful and aided in understanding kinetic advantages linked to some of the pretreatments. For example, the alkaline treatment (at the 20% dosage) at room temperature resulted to a μmax (maximum specific methane production rate [NmLCH4/(gVSadded·d)]) equal to 36.3 against 18.6 for the control.

scholarly journals Evaluation of batch mesophilic anaerobic digestion of raw and trampled llama and dromedary dungs: methane potential and kinetic study

2022 ◽  
Author(s):  
M. J. Fernández-Rodríguez ◽  
J. M. Mancilla-Leytón ◽  
D. de la Lama-Calvente ◽  
R. Borja
Keyword(s):  
Anaerobic Digestion ◽  
Methane Production ◽  
Hydrolysis Rate ◽  
Order Kinetic ◽  
Batch Mode ◽  
First Order ◽  
Volatile Solids ◽  
Order Kinetic Model ◽  
Methane Potential ◽  
Methane Production Rate

AbstractThis research was carried out with the aim to evaluate the anaerobic digestion (AD) of llama and dromedary dungs (both untreated and trampled) in batch mode at mesophilic temperature (35 °C). The biochemical methane potential (BMP) tests with an inoculum to substrate ratio of 2:1 (as volatile solids (VS)) were carried out. The methane yield from trampled llama dung (333.0 mL CH4 g−1 VSadded) was considerably higher than for raw llama, raw and trampled dromedary dungs (185.9, 228.4, 222.9 mL CH4 g−1 VSadded, respectively). Therefore, trampled llama dung was found to be the best substrate for methane production due to its high content of volatile solids as well as its high nitrogen content (2.1%) and more appropriate C/N ratio (23.6) for AD. The experimental data was found to be in accordance with both first-order kinetic and transference function mathematical models, when evaluating the experimental methane production against time. By applying the first-order kinetic model, the hydrolysis rate constants, kh, were found to be 19% and 11% higher for trampled dungs in comparison with the raw dung of dromedary and llama, respectively. In addition, the maximum methane production rate (Rm) derived from the transference function model for trampled llama dung (22.0 mL CH4 g−1 VS d−1) was 83.3%, 24.4% and 22.9% higher than those obtained for raw llama manure and for raw and trampled dromedary dungs, respectively.

scholarly journals Methane Potential from the Digestion of Food Waste in a Batch Reactor

2018 ◽  
Vol 7 (3.23) ◽  
pp. 36 ◽  
Author(s):  
Roslinda Seswoya ◽  
Ahmad Tarmizi Abdul Karim ◽  
Nur Aiza Darnak ◽  
Muhammad Fahmi Abd Rahman
Keyword(s):  
Food Waste ◽  
Methane Production ◽  
Yield Curve ◽  
Batch Reactor ◽  
Laboratory Data ◽  
Test System ◽  
Methane Yield ◽  
Lag Phase ◽  
Methane Potential ◽  
Bmp Test

The anaerobic digestibility of a targeted substrate, measured as methane yield is conducted via biochemical methane potential (BMP). In this study, the batch BMP test was conducted using Automatic Methane Potential Test System (AMPTS II) for 25 days and focused on the methane production from the digestion of food waste (FW, in the form of raw and diluted) at inoculum to substrate ratio (I/S) ratio of 2:0 and under mesophilic temperature.  The results showed that solids (TS and VS) concentration reduced significantly due to the       dilution. The ultimate methane yields from the digestion of raw FW and diluted FW were 1891.91ml CH4/gVS and 1983.96 ml CH4/gVS respectively. This showed that the dilution significantly improved the methane yield. In addition, the lag phase of the methane yield curve for both BMP tests was less than one (1) day, showing the good biodegradability of FW. The kinetic methane production from laboratory data and Modified Gompertz modelling fitted well. However, the kinetic equation parameters such as Mo, Rm and l from the model were slightly lower based on the observation of the laboratory data. 

scholarly journals Effects of Nickel and Cobalt on Kinetics of Methanol Conversion by Methanogenic Sludge as Assessed by On-Line CH4 Monitoring

1999 ◽  
Vol 65 (4) ◽  
pp. 1789-1793 ◽  
Author(s):  
Graciela Gonzalez-Gil ◽  
Robbert Kleerebezem ◽  
Gatze Lettinga
Keyword(s):  
Production Rate ◽  
Methane Production ◽  
Dissolution Kinetics ◽  
Methanol Conversion ◽  
Pulse Mode ◽  
Metal Sulfides ◽  
On Line ◽  
Methane Production Rate ◽  
Temporary Decrease ◽  
Kinetics Of

ABSTRACT When metals were added in a pulse mode to methylotrophic-methanogenic biomass, three methane production rate phases were recognized. Increased concentrations of Ni and Co accelerated the initial exponential and final arithmetic increases in the methane production rate and reduced the temporary decrease in the rate. When Ni and Co were added continuously, the temporary decrease phase was eliminated and the exponential production rate increased. We hypothesize that the temporary decrease in the methane production rate and the final arithmetic increase in the methane production rate were due to micronutrient limitations and that the precipitation-dissolution kinetics of metal sulfides may play a key role in the biovailability of these compounds.

scholarly journals Modelling start-up performance of anaerobic digestion of saline-rich macro-algae

2014 ◽  
Vol 69 (10) ◽  
pp. 2059-2065 ◽  
Author(s):  
A. Hierholtzer ◽  
J. C. Akunna
Keyword(s):  
Anaerobic Digestion ◽  
Methane Production ◽  
Brown Seaweed ◽  
Adaptation Period ◽  
Key Factors ◽  
Factors Affecting ◽  
Batch Tests ◽  
Start Up ◽  
Methane Potential ◽  
Methane Production Rate

Some of the key factors affecting the adaptation of anaerobic digestion processes to increasing levels of salinity were determined in batch tests using brown seaweed as a feedstock. It was found that cultures seeded with non-saline anaerobic inoculum required an adaptation period of up to two months to reach the same level of methane production rate as in those cultures seeded with saline-adapted inoculum. The Anaerobic Digestion Model No.1 (ADM1) was modified to include an extra inhibition function to account for the effect of salinity, and calibrated using a set of experimental data obtained from batch biochemical methane potential tests. After calibration, the model was able to accurately predict methane production rates. Thus, the results show that, in the absence of saline-adapted inoculum, non-saline inoculum can be used for the start-up of anaerobic digestion systems treating saline-rich feedstocks.

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