Studies on the Effect of Anaerobic Digestion on the Microbial Flora of Animal Wastes 2: Digestion and Modelling of Process Parameters

Ofoefule, A. U.; Uzodinma, E. O.; Anyanwu, C. N.

doi:10.3923/tasr.2010.39.47

Cited by 20 publications

(15 citation statements)

References 3 publications

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“…This correlated with their respective biomethane yields as shown in Table 2. Results obtained here appear to disagree with claims made by Ofoefule et al (2010) that biogas production is highly dependent on total viable counts; rather the results here suggest that biomethane (not biogas) production is dependent on specific methanogenic growth (and not total viable count). This assertion agrees with the findings of Nopharatana et al (2007) and, Abubakar and Ismail (2012).…”

Section: Discussioncontrasting

confidence: 99%

Effects of initiating anaerobic digestion of layer-hen poultry dung at sub-atmospheric pressure

Ngumah¹,

Ogbulie²,

Orji³

et al. 2013

Rev. ambiente água

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This study investigated the effects of initiating anaerobic digestion (AD) of dry layer-hen poultry dung at the sub-atmospheric pressure of -30 cmHg on biodegradation, biogasification, and biomethanation. The setup was performed as a batch process at an average ambient temperature of 29±2 0 C and a retention time of 15 days. Comparisons were made with two other experiments which were both begun at ambient atmospheric pressure; one was inoculated with digestate from a previous layer-hen dung AD, while the other was not inoculated. The bioreactors initiated at sub-atmospheric pressure, ambient atmospheric pressure without inoculum, and ambient atmospheric pressure with inoculum showed the following for biogas and biomethane yields respectively: 16. 6 cfu mL -1 for volatile solids and total viable count respectively. There was a slight difference in the volatile solids of the digestates of the three bioreactors after AD. The pH recorded for the feedstock slurry before AD was 7.9 at 30 o C, while after AD, the digestates from all the three bioreactors showed the same pH of 5.9 at 29 0 C. Statistical analysis using ANOVA showed no significant difference in biogas yields of the feedstock for the three bioreactors (A, B, C). ANOVA showed no significant difference for biomethane yields in the bioreactors initiated at sub-atmospheric pressure and for those initiated at ambient atmospheric pressure with inoculums. However, it showed significant difference in the bioreactor initiated at sub-atmospheric pressure and that initiated at ambient atmospheric pressure without inoculums, and significant difference in the two sets of bioreactors initiated at ambient atmospheric pressure (with and without inoculum). Initiating AD at reduced atmospheric pressure (-30 cmHg) and the addition of inoculum at ambient atmospheric pressure both increased biomethanation, by 20.31% and 15.80% respectively. The AD initiated at sub-atmospheric pressure yielded the least amount of carbon dioxide (a greenhouse gas), and improved biodegradation and biomethanation. The results also suggest that biomethane production is dependent on specific methanogenic growth. Analyzing the populations of methanogens isolated from the different bioreactors in relation to their biomethane yields suggests that Methanosarcina barkeri may have been largely responsible for the differences in biomethane yields. Efeitos do início da digestão anaeróbica da camada de esterco de aves à pressão sub-atmosférica RESUMOOs efeitos do início da digestão anaeróbica (DA) da camada de estrume seco de galinha à pressão sub-atmosférica de -30 cmHg na biodegradação, biogaseificação, e biometanização foram investigados. Foi realizado um processo em lote a uma temperatura ambiente média de 29 ± 2 0 C e um tempo de retenção de 15 dias. As comparações foram feitas com duas outras experiências; ambas foram iniciadas à pressão atmosférica ambiente, enquanto que uma foi previamente inoculada com digestores de uma camada de estrume de galinha AD, a outra sem inoculação. Os biorreatore...

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Section: Discussioncontrasting

confidence: 99%

Effects of initiating anaerobic digestion of layer-hen poultry dung at sub-atmospheric pressure

Ngumah¹,

Ogbulie²,

Orji³

et al. 2013

Rev. ambiente água

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“…Gelatinization time was modelled against water content for all the starch feedstock using NLREG 6.3 version a specialized computer programme designed for non-linear regression analysis 18 .…”

Section: Discussionmentioning

confidence: 99%

Modeling of Gelatinization Time against Water Content for Some Starch Feedstock for Bioethanol Production

U¹

2016

Chem Sci Trans

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The modeling of gelatinization time against water content of some biomass feedstock viz.; Acha (Digitaria exilis), Finger millet (Eleusine coracana), Tacca (Tacca nvolucrate) and Tigernut (Cyperus esculentus) for bioethanol production was studied. The starches were extracted from the feedstocks by wet and dry milling methods. They were gelatinized at slurry concentrations of 2.0, 2.5, 3.0 and 3.5 mL/g for acha, slurry concentrations of 2.5, 3.0, 3.5 and 4.0 mL/g for finger millet, slurry concentrations of 1.0, 2.0, 3.0 and 4.0 mL/g for Tacca and slurry concentrations of 3.5, 4.0, 4.5 and 5.0 mL/g for tigernut. The starch content of the feedstocks determined the quantity of water used. The gelatinization processes were carried out under different temperature ranges 62 °C-86°C and time 18-59 min. Amylose/amylopectin determinations of the starch feedstocks were also carried out. Modeling was carried out using NLREG 6.3 version a specialized computer programme designed for non-linear regression analysis. Results showed that the acha variant gave the best R 2 values (99.90%). This was followed by the tigernut starch (R 2 = 98.70%) and millet starch ((R 2 = 96.10%). The tacca starch models gave a poorer result(R 2 = 90.50%). General results indicate that acha starch has the best model within the lowest water content, temperature range and time range amongst the feedstocks studied.

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“…The weight percentages of VS for poultry, rice and agricultural waste were low, and these values for poultry leftover rice, pineapple peel, vegetable waste, bagasse, banana peel and papaya peel were, respectively 11.92%, 0.51%, 0.33%, 1.0%, 0.05%, 1.82% and 0.94% VS. Bio-reactors using fuel with less than 70 wt% moisture produces more concentrated waste stream and the fuel water content should not exceed 50%wt for biological reactions [53]. In this study, the goat manure moisture content was between 10.48 wt% and 19.17 wt%, suggested that the feedstock is suitable for biomass fermentation [54]. The moisture contents of poultry, leftover rice, pineapple peel, vegetable waste, bagasse, banana peel and papaya peel were 38.24 wt%, 51.16 wt%, 49.16 wt%, 35.10 wt%, 33.21 wt%, 40.51 wt% and 46.96 wt%, respectively.…”

Section: Proximate Analysismentioning

confidence: 92%

“…The fermentation of biomass is an effective way to decompose solid waste of high organic content and produce biogas consisting of CH 4 (60e70%), CO 2 (30e40%) and other gases associated with methanogens [54,58,59].…”

Section: Profiles Of Methane and Bio-methanol Productionmentioning

confidence: 99%

Optimization of bio-methanol production from goat manure in single stage bio-reactor

Shamsul¹,

Kamarudin²,

Kofli³

et al. 2017

International Journal of Hydrogen Energy

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Studies on the Effect of Anaerobic Digestion on the Microbial Flora of Animal Wastes 2: Digestion and Modelling of Process Parameters

Cited by 20 publications

References 3 publications

Effects of initiating anaerobic digestion of layer-hen poultry dung at sub-atmospheric pressure

Effects of initiating anaerobic digestion of layer-hen poultry dung at sub-atmospheric pressure

Modeling of Gelatinization Time against Water Content for Some Starch Feedstock for Bioethanol Production

Optimization of bio-methanol production from goat manure in single stage bio-reactor

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