Kinetics of methane production and hydrolysis in anaerobic digestion of corn stover

Dong, Li; Huang, Xin; Wang, Qingjing; Yuan, Y.; Yan, Zhiying; Liu, Zhidong; Huang, Yajun; Liu, Xiaofeng

doi:10.1016/j.energy.2016.02.074

Cited by 34 publications

(8 citation statements)

References 20 publications

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“…The crucial factor in methane production is also related to the content of main biomass components, including cellulose and lignin. Cellulose and hemicellulose are biodegradable, whereas lignin, which is resistant to anaerobic bacteria, may reduce the methane yield [ 45 , 46 , 47 ]. The lignin and cellulose contents in the maize stover fractions ( Figure 2 ) indicate that stalks contained higher amounts of cellulose than the other fractions, while lignin content in stalks was comparable to that in leaves and higher than in cobs and husks.…”

Section: Resultsmentioning

confidence: 99%

Chemical and Structural Characterization of Maize Stover Fractions in Aspect of Its Possible Applications

et al. 2021

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In the last decade, an increasingly common method of maize stover management is to use it for energy generation, including anaerobic digestion for biogas production. Therefore, the aim of this study was to provide a chemical and structural characterization of maize stover fractions and, based on these parameters, to evaluate the potential application of these fractions, including forbiogas production. In the study, maize stover fractions, including cobs, husks, leaves and stalks, were used. The biomass samples were characterized by infrared spectroscopy (FTIR), X-ray diffraction and analysis of elemental composition. Among all maize stover fractions, stalks showed the highest C:N ratio, degree of crystallinity and cellulose and lignin contents. The high crystallinity index of stalks (38%) is associated with their high cellulose content (44.87%). FTIR analysis showed that the spectrum of maize stalks is characterized by the highest intensity of bands at 1512 cm−1 and 1384 cm−1, which are the characteristic bands of lignin and cellulose. Obtained results indicate that the maize stover fraction has an influence on the chemical and structural parameters. Moreover, presented results indicate that stalks are characterized by the most favorable chemical parameters for biogas production.

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Section: Resultsmentioning

confidence: 99%

Chemical and Structural Characterization of Maize Stover Fractions in Aspect of Its Possible Applications

et al. 2021

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“…Figure 2 shows examples of typical cumulative biogas and methane yields. The evaluation of the BMP curves can be aided by mathematical models of methane production kinetics (El-Mashad 2013, Dong et al 2016, Ware and Power 2017, Yangyang et al 2018.…”

Section: Kinetic Modelingmentioning

confidence: 99%

Effect of Inoculum Source on the Anaerobic Digestion of Mezcal Vinasses at Different Substrate-Inoculum Ratios

Santos

Ramos

Morales

et al. 2020

Rev. Int. Contam. Ambie.

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“…Many researchers have investigated microbial kinetics in composting processes ( Rosso et al, 1993 ; Hamelers, 2004 ; Kulcu and Yaldiz, 2004 ; Richard and Walker, 2006 ; Richard et al, 2006 ; De Guardia et al, 2008 ; Lin et al, 2008 ). Others have studied kinetics in anaerobic digestion of corn stover and microbial heat evolution from glucose degradation in soil ( Kimura and Takahashi, 1985 ; Li et al, 2016 ). Calorimetric research of soil microbes showed that changes in microbial growth, glucose depletion as an energy source, and the evolution of heat are proportional and can all be described as a sigmoidal curve characteristic of Monod equation ( Monod, 1949 ; Kimura and Takahashi, 1985 ).…”

Section: Introductionmentioning

confidence: 99%

Microbial Heat and Organic Matter Loss in an Aerobic Corn Stover Storage Reactor: A Model Validation and Prediction Approach Using Lumped-Parameter Dynamical Formulation

Quiroz‐Arita

Murphy

Plummer

et al. 2020

Front. Bioeng. Biotechnol.

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Corn stover dry matter loss effects variability for biofuel conversion facility and technology sustainability. This research seeks to understand the dynamic mechanisms of the thermal system, organic matter loss, and microbial heat generation in corn stover storage operations through system dynamics, a mathematical modeling approach, and response analysis to improve the system performance. This study considers epistemic uncertainties including cardinal temperatures of microbial respiratory activity, specific degradation rate, heat evolution per unit substrate degraded, and thermal conductivity in corn stover storage reactors. These uncertainties were managed through calibration, a process of improving the agreement between the computational and benchmark experimental results by adjusting the parameters of the model. Model calibration successfully predicted the temperature of the system as quantified by the mean absolute error, 0.6 • C, relative to the experimental work. The model and experimental dry matter loss after 30 days of storage were 5.1% and 4.9 ± 0.28%. The model was further validated using additional experimental results to ensure that the model accurately represented the system. Model validation obtained a temperature mean absolute relative error of 0.9 ± 0.3 • C and dry matter loss relative error of 3.1 ± 1.5%. This study presents a robust prediction of corn stover storage temperature and demonstrates that an understanding of carbon sources, microbial communities, and lag-phase evolution in bi-phasic growth are essential for the prediction of organic matter preservation in corn stover storage systems under environment's variation.

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Kinetics of methane production and hydrolysis in anaerobic digestion of corn stover

Cited by 34 publications

References 20 publications

Chemical and Structural Characterization of Maize Stover Fractions in Aspect of Its Possible Applications

Chemical and Structural Characterization of Maize Stover Fractions in Aspect of Its Possible Applications

Effect of Inoculum Source on the Anaerobic Digestion of Mezcal Vinasses at Different Substrate-Inoculum Ratios

Microbial Heat and Organic Matter Loss in an Aerobic Corn Stover Storage Reactor: A Model Validation and Prediction Approach Using Lumped-Parameter Dynamical Formulation

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