Correlation between hydrolysis rate constant and chemical composition of energy crops

Dandikas, V.; Heuwinkel, H.; Lichti, Fabian; Eckl, Thomas; Drewes, Jörg E.; Koch, Konrad

doi:10.1016/j.renene.2017.10.100

Cited by 22 publications

(8 citation statements)

References 40 publications

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“…Considering the BMP values, there exist wide gaps between the values which range between 200 and 468 mL/g VS. It has been previously opined that datasets with wide range of values such as obtained in this study are suitable for drawing a correlation between the chemical compositions of lignocellulosic biomass and their subsequent methane potentials (Raju et al, 2011;Dandikas et al, 2018). Since the values obtained for the C/N ratios did not follow normal distribution, this parameter was not used in the mathematical regression analyses.…”

Section: Correlation Between Biomass' Chemical Composition and Methanmentioning

confidence: 97%

“…This is why in most cases, ensiled biomass are often preferred for high methane production mainly because the carbohydrates content of such biomass have been previously fermented into intermediate acids such as lactic acid while the biomass was being ensiled. In the current energy literature, there is a well-established correlation between the characteristics of lignocellulosic biomass and their biodegradability, whereas there is no such relationship between biomass chemical composition and their methane potential (Dandikas et al, 2015) which is a source of tangible information about the biodegradability of a biomass (Charnier et al, 2016;Fitamo et al, 2017;Dandikas et al, 2018;Edwiges et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Mechanical pretreatment of lignocelluloses for enhanced biogas production: Methane yield prediction from biomass structural components

Dahunsi

2019

Bioresource Technology

115

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In this study, mechanical pretreatment was applied to six different lignocelluloses in two different treatment phases and the prediction of their methane yield was done from biomass chemical composition. Physicochemical, proximate and microbial analyses were carried out on both pretreated and untreated biomass using standard methods. Mechanical pretreatments caused the breakdown of structural materials in all the used biomass which was characterized by reduction of the lagging time during anaerobic digestion and the subsequent increase in methane yield up to 22%. The different loading rate of biomass had no effect on the overall methane yield increase. Both single and multiple linear regressions models were used in order to correlate the chemical composition of the biomass with their methane potentials and a fairly high correlation (R 2 = 0.63) was obtained. The study also showed that the pretreatments are economically feasible. Therefore, its further application to other biomass is encouraged.

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Section: Correlation Between Biomass' Chemical Composition and Methanmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Mechanical pretreatment of lignocelluloses for enhanced biogas production: Methane yield prediction from biomass structural components

Dahunsi

2019

Bioresource Technology

115

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“…from 34 to 524 mL/gVS). In fact, datasets with wide range of values are appropriate for linking the chemical components and BMP values of lignocellulosic substrates (Dandikas et al, 2018;Raju et al, 2011). Regarding the examined variables, only C:N ratios were not normally distributed and thus, were not suitable parameters for mathematical regression analyses.…”

Section: Correlation Between Bmp and Chemical Compositionmentioning

confidence: 99%

“…Hence, linking prompt methods with the BMP values could establish a fast decision-making tool in order to design and apply strategies that can lead to process optimisation in fullscale applications (Fitamo et al, 2017). In a recent study, more than 200 samples were used to correlate the hydrolysis rate constant with the chemical composition of different biomasses, as a precursor for predicting the biogas production (Dandikas et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Mechanical pretreatment for increased biogas production from lignocellulosic biomass; predicting the methane yield from structural plant components

2018

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Lignocellulosic substrates are associated with limited biodegradability due to the structural complexity. For that reason, a pretreatment step is mandatory for efficient biomass transformation which will lead to increased bioenergy output. The aim of the present study was to assess the efficiency of two pretreatment machines to enhance the methane yield of meadow grass. Specifically, the application of shearing forces with a rotated plastic sweeping brush against a steel roller significantly increased biomass biodegradability by 20% under relatively gentle operation conditions (600 rpm). The more intense operation (1200 rpm) was not associated with higher methane yield enhancement. Regarding an alternative machine, in which the brush was replaced with a coarse steel roller resulted in a more distinct effect (+27%) despite the lower rotating speed (∼400 rpm). Moreover, the association of the substrate's individual chemical components and the practical methane yield was assessed, establishing single and multiple linear regression models. However, the estimation accuracy was rather low with either single (regressor: lignin, R 2 : 0.50) or multiple linear regression analyses (regressors: arabinan-lignin-protein, R 2 : 0.61). Results showed that poorly lignified plant tissue containing relatively high fractions of protein and arabinan is more susceptible to anaerobic digestion.

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“…The difficulty in identifying the appropriate pre-treatment to yield the least inhibitory by-product and high biofuel yields suggest that an approach carried out by Dandikas et al (2014) [155] and Dandikas et al (2018) [156] may be useful for seaweed. This involves performing a primary component analysis of numerous different species of seaweed harvested during different times of year, and locations, and identifying the correlation of different components to biofuel yields.…”

Section: Alkali or Acidic Treatmentmentioning

confidence: 99%

A Review of Seaweed Pre-Treatment Methods for Enhanced Biofuel Production by Anaerobic Digestion or Fermentation

et al. 2018

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Macroalgae represent a potential biomass source for the production of bioethanol or biogas. Their use, however, is limited by several factors including, but not restricted to, their continuous supply for processing, and low biofuel yields. This review examines recent pre-treatment processes that have been used to improve the yields of either biogas or bioethanol from macroalgae. Factors that can influence hydrolysis efficiency and, consequently, biofuel yields, are highly affected by macroalgal composition, including content of salts, heavy metals, and polyphenols, structural make-up, as well as polysaccharide composition and relative content of carbohydrates. Other factors that can influence biofuel yield include the method of storage and preservation.

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Correlation between hydrolysis rate constant and chemical composition of energy crops

Cited by 22 publications

References 40 publications

Mechanical pretreatment of lignocelluloses for enhanced biogas production: Methane yield prediction from biomass structural components

Mechanical pretreatment of lignocelluloses for enhanced biogas production: Methane yield prediction from biomass structural components

Mechanical pretreatment for increased biogas production from lignocellulosic biomass; predicting the methane yield from structural plant components

A Review of Seaweed Pre-Treatment Methods for Enhanced Biofuel Production by Anaerobic Digestion or Fermentation

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