Estimation of methane production for batch technology – A new approach

Mulka, Rafał; Szulczewski, Wiesław; Szlachta, Jacek; Mulka, Mariusz

doi:10.1016/j.renene.2016.01.012

Cited by 7 publications

(6 citation statements)

References 12 publications

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“…The amount of archaea divisions (μ) per day for bath technology and continuous technology is calculated by using below equation 34 :…”

Section: Archaea Divisionsmentioning

confidence: 99%

“…According to results in the literature,equations for the temperature influence were modified. The optimum temperature was changed from 38 o C to 37 o C for mesophilic fermentation and from 55 o C to 54 o C for termophilic fermentation 34 .…”

Section: The Temperature Coefficientmentioning

confidence: 99%

“…In this kind of culture, livings conditions for microorganism are almost constants. Therefore according to the kinetic equations, which were used for the laboratory scale 34 , it was developed equations which allow to make simulation for archaea growth in biogas plants. For the continuous technology, at the beginning (in the first step) following values: M ch [1],H a [1], D a [1], are equal to zero since those compounds are outcome of following reactions 23, 24 and 25 are calculated:…”

mentioning

confidence: 99%

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Brief analysis of the influence of elements on anaerobic digestion and mathematical model

Mulka¹,

Zheng²,

Zhang³

et al. 2020

Preprint

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The main problem during the fermentation process is competition between microorganisms and provision of favorable conditions for archaea. The elements like magnesium, sodium and calcium play an important role during the anaerobic digestion, due to its capability to maintain normal life activities. Besides magnesium can work like effective catalyst during the fermentation process. Therefore, this work reports the influence of the mentioned elements on methane production. Moreover, mathematical model for biogas production for anaerobic digester was presented, which based on a continuous technology. This high-activity and cost-effective mathematical model could improve biogas production efficiency as a tool support for understanding fermentation process.

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“…The amount of archaea divisions (μ) per day for bath technology and continuous technology is calculated by using below equation 34 :…”

Section: Archaea Divisionsmentioning

confidence: 99%

Section: The Temperature Coefficientmentioning

confidence: 99%

mentioning

confidence: 99%

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Brief analysis of the influence of elements on anaerobic digestion and mathematical model

Mulka¹,

Zheng²,

Zhang³

et al. 2020

Preprint

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“…The kinetics of biogas production was modeled using a modified Gompertz equation [29,30]. It was assumed that in batch processes, biogas production was affected by the specific growth rate of microorganisms in a digester [31].…”

Section: Kinetic Model Of Biogas Productionmentioning

confidence: 99%

Effect of Mechanical Pre-Treatment of the Agricultural Substrates on Yield of Biogas and Kinetics of Anaerobic Digestion

et al. 2018

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The effect of mechanical pre-treatment of nine different agricultural substrates minced to particle sizes of 1.5 mm, 5 mm and 10 mm on biogas and methane yields and fermentation kinetics was investigated. The results showed, that for five of the nine tested substrates (grass, Progas rye, Palazzo rye, tall wheatgrass, beet), a higher biogas production was obtained for the degree of fragmentation of 10 mm compared to fragmentation of 5 mm and 1.5 mm. For fragmentation of 5 mm, the highest biogas production was achieved for sorghum silage, Atletico maize and Cannavaro maize-649.80, 735.59 and 671.83 Nm 3 /Mg VS, respectively. However, for the degree of fragmentation of 1.5 mm, the highest biogas production (510.43 Nm 3 /Mg volatile solid (VS)) was obtained with Topinambur silage. The modified Gompertz model fitted well the kinetics of anaerobic digestion of substrates and show a significant dependence of the model parameters H max (biogas production potential) and R max (maximum rate of biogas production) on the degree of substrate fragmentation.

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“…Several authors have published studies on the mathematical modeling of anaerobic degradation and the prediction of biogas and methane yields. Two main groups of models exist within the literature: a) white-box approach, which is extremely demanding for modeling due to the high variability of microbes, feedstock specific microbial communities involved, and the different optimal growth conditions of the microbes (Mulka et al, 2016); b) black-box approach, which is a simple approach and allows the simulation of the biological process with less effort, however systematic effects (e.g., microclimate of local cultivation conditions, new cultivars, etc.) cannot be predicted by static models.…”

Section: Prediction Of Biogas and Methane Yieldsmentioning

confidence: 99%

Development of regression models to predict biogas production rate and biogas yield

Δανδίκας¹

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Οι στόχοι της παρούσας διπλωματικής διατριβής ήταν: α) να προσδιοριστεί η μαθηματική σχέση μεταξύ της χημικής σύστασης των φυτικών πρώτων υλών και της δυνητικής παραγωγής βιοαερίου και β) η ανάπτυξη ενός μοντέλου για την πρόβλεψη του ρυθμού παραγωγής βιοαερίου και μεθανίου. Επιπλέον, με τη παρούσα διδακτορική διατριβή αναλύεται η αναερόβια χώνευση των φυτών βάση της χημικής τους σύνθεσης και ενός μοντέλου παλινδρόμησης.

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Estimation of methane production for batch technology – A new approach

Cited by 7 publications

References 12 publications

Brief analysis of the influence of elements on anaerobic digestion and mathematical model

Brief analysis of the influence of elements on anaerobic digestion and mathematical model

Effect of Mechanical Pre-Treatment of the Agricultural Substrates on Yield of Biogas and Kinetics of Anaerobic Digestion

Development of regression models to predict biogas production rate and biogas yield

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