Monitoring anaerobic digester parameters of biogas production from corn (Zea mays) leaf and stalk residual biomass

2018 ◽  
Vol 11 (26) ◽  
pp. 1291-1299 ◽  
Author(s):  
Julian Angulo-Padilla ◽  
Luisa Lozano-De La Ossa ◽  
Angel Gonzalez-Delgado ◽  
Eduardo Sanchez-Tuiran ◽  
Karina Ojeda-Delgado
Keyword(s):  
Zea Mays ◽  
Biogas Production ◽  
Anaerobic Digester ◽  
Residual Biomass

scholarly journals Effect of Hydraulic Retention Time on Biogas Production from Cow Dung in A Semi Continuous Anaerobic Digester

2018 ◽  
Vol 7 (2) ◽  
pp. 93-100 ◽  
Author(s):  
Agus Haryanto ◽  
Sugeng Triyono ◽  
Nugroho Hargo Wicaksono
Keyword(s):  
Retention Time ◽  
Hydraulic Retention Time ◽  
Loading Rate ◽  
Biogas Production ◽  
Stable Condition ◽  
Anaerobic Digester ◽  
Organic Loading Rate ◽  
Cow Dung ◽  
Biogas Yield ◽  
Average Analysis

The efficiency of biogas production in semi-continuous anaerobic digester is influenced by several factors, among other is loading rate. This research aimed at determining the effect of hydraulic retention time (HRT) on the biogas yield. Experiment was conducted using lab scale self-designed anaerobic digester of 36-L capacity with substrate of a mixture of fresh cow dung and water at a ratio of 1:1. Experiment was run with substrate initial amount of 25 L and five treatment variations of HRT, namely 1.31 gVS/L/d (P1), 2.47 gVS/L/d (P2), 3.82 gVS/L/d (P3), 5.35 gVS/L/d (P4) and 6.67 gVS/L/d (P5). Digester performance including pH, temperature, and biogas yield was measured every day. After stable condition was achieved, biogas composition was analyzed using a gas chromatograph. A 10-day moving average analysis of biogas production was performed to compare biogas yield of each treatment. Results showed that digesters run quite well with average pH of 6.8-7.0 and average daily temperature 28.7-29.1. The best biogas productivity (77.32 L/kg VSremoval) was found in P1 treatment (organic loading rate of 1.31 g/L/d) with biogas yield of 7.23 L/d. With methane content of 57.23% treatment P1 also produce the highest methane yield. Biogas production showed a stable rate after the day of 44. Modified Gompertz kinetic equation is suitable to model daily biogas yield as a function of digestion time.Article History: Received March 24th 2018; Received in revised form June 2nd 2018; Accepted June 16th 2018; Available onlineHow to Cite This Article: Haryanto, A., Triyono, S., and Wicaksono, N.H. (2018) Effect of Loading Rate on Biogas Production from Cow Dung in A Semi Continuous Anaerobic Digester. Int. Journal of Renewable Energy Development, 7(2), 93-100.https://doi.org/10.14710/ijred.7.2.93-100

scholarly journals Biogas Production from Poultry Wastewater using Anaerobic Digester

2019 ◽  
Vol 9 (2S2) ◽  
pp. 110-114
Keyword(s):  
Substrate Concentration ◽  
Biogas Production ◽  
Morphological Structure ◽  
Sem Analysis ◽  
Anaerobic Digester ◽  
Poultry Waste ◽  
Displacement Method ◽  
Water Displacement ◽  
Kinetics Studies ◽  
Poultry Wastewater

Experimental work was carried out for the production of Biogas from poultry waste water. The Poultry waste was collected from farm near Nagercoil at Kanyakumari District. Batch anaerobic digester was designed for 20L capacity. The experiment was carried out for 36 days to monitor the performance. Various parameters like pH, TS, COD have checked for every 24hours. The Production of biogas was measured by water displacement method. The methane content was analyzed by gas chromatography test. Based on the experimental data, kinetics studies have done for various models like Line Weaver-Burk method, Eadie-Hofstee method, Hanes-Woolf method. The Eadie-Hofstee Method has provided better prediction than other method. These results thus indicate that, Eadie-Hofstee Method is best to identify the growth rate, substrate concentration and Limiting Substrate Concentration of the system. The sludge of the poultry wastewater and digester were characterized by SEM analysis. The imaging was done to determine the morphological structure of the sludge and to view the bacterial growth on the surface of the sludge.

Modřice Plant Anaerobic Digester: Microbial Distribution and Biogas Production

2019 ◽  
Vol 230 (10) ◽  
Author(s):  
Martin Struk ◽  
Monika Vítězová ◽  
Tomáš Vítěz ◽  
Milan Bartoš ◽  
Ivan Kushkevych
Keyword(s):  
Biogas Production ◽  
Anaerobic Digester ◽  
Microbial Distribution

scholarly journals Enhancing Efficiency of Anaerobic Digestion by Optimization of Mixing Regimes Using Helical Ribbon Impeller

Fermentation ◽  
2021 ◽  
Vol 7 (4) ◽  
pp. 251
Author(s):  
Buta Singh ◽  
Kornél L. Kovács ◽  
Zoltán Bagi ◽  
József Nyári ◽  
Gábor L. Szepesi ◽  
...  
Keyword(s):  
Model Simulation ◽  
Biogas Production ◽  
Scale Up ◽  
Anaerobic Digester ◽  
Operating Conditions ◽  
Mixing Efficiency ◽  
Dead Zones ◽  
Helical Ribbon ◽  
Significant Difference ◽  
Mixing Intensity

The appropriate mixing system and approach to effective management can provide favorable conditions for the highly sensitive microbial community, which can ensure process stability and efficiency in an anaerobic digester. In this study, the effect of mixing intensity on biogas production in a lab-scale anaerobic digester has been investigated experimentally and via modeling. Considering high mixing efficiency and unique feature of producing axial flow, helical ribbon (HR) impeller is used for mixing the slurry in this experiment under various conditions. Three parallel digesters were analyzed under identical operating conditions for comparative study and high accuracy. Effects of different mixing speeds (10, 30, and 67 rpm for 5 min h−1) on biogas production rate were determined in 5-L lab-scale digesters. The results demonstrated 15–18% higher biogas production at higher mixing speed (67 rpm) as compared to 10 rpm and 30 rpm and the results proved statistically significant (p < 0.05). Biogas production at 10, 30, and 67 rpm were 45.6, 48.6, and 52.5 L, respectively. Higher VFA concentrations (7.67 g L−1) were recorded at lower mixing intensity but there was no significant difference in pH and ammonia at different speeds whereas the better mixing efficiency at higher speeds was also the main reason for increase in biogas production. Furthermore, model simulation calculations revealed the reduction of dead zones and better homogeneous mixing at higher mixing speeds. Reduction of dead zones from 18% at 10 rpm to 2% at 67 rpm was observed, which can be the major factor in significant difference in biogas production rates at various mixing intensities. Optimization of digester and impeller geometry should be a prime focus to scale-up digesters and to optimize mixing in full-scale digesters.

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