Interpretation of possible biogas production capacity by investigating the effects of anaerobic digester tank geometry and angular velocity on flow characteristics.
Anaerobic digestion
CFD
Mechanical stirring
Methane
Renewable energy
Stirred-tank reactor
Journal
Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769
Informations de publication
Date de publication:
07 Oct 2024
07 Oct 2024
Historique:
received:
06
08
2024
accepted:
27
09
2024
medline:
7
10
2024
pubmed:
7
10
2024
entrez:
7
10
2024
Statut:
aheadofprint
Résumé
Mixing performance in reactors producing biogas through anaerobic digestion is one of the parameters that directly affect biogas yield. The most commonly used mixing model for bioreactors in biogas-production processes is mechanical mixing. In the present study, we focus on the geometry of the tank, where the mechanical mixing actually takes place. In this context, by using the six-blade standard Rushton impeller in two different types of tank, flow patterns involving velocity, dead zone volume, turbulent kinetic energy, and turbulent eddy dissipation rate in the angular velocity range of 25-100 rpm were observed, and the possible effects of the results on biogas production were interpreted. A new impeller design was proposed that maximizes the interface between the fluid inside the reactor tank and the impeller, which has the potential to reduce the dead zone volume to significantly lower levels. Our results showed that the lowest dead zone volume was achieved for a 60° slope reactor tank compared to the conventional 90° slope reactor tank at an angular velocity of 100 rpm. The dead zone volume decreased to 0.000094 m
Identifiants
pubmed: 39373842
doi: 10.1007/s11356-024-35205-6
pii: 10.1007/s11356-024-35205-6
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Références
Bridgeman J (2012) Computational fluid dynamics modelling of sewage sludge mixing in an anaerobic digester. Adv Eng Softw 44(1):54–62
doi: 10.1016/j.advengsoft.2011.05.037
Cao X, Jiang K, Ding H, Yang P, Zhao Z, Xu G (2018) Simulation and analysis of flow field in sludge anaerobic digestion reactor based on computational fluid dynamics. Int J Chem React Eng 16(3)
Daniel-Gromke J, Rensberg N, Denysenko V, Stinner W, Schmalfuß T, Scheftelowitz M, Nelles M, Liebetrau J (2018) Current developments in production and utilization of biogas and biomethane in Germany. Chem Ing Tec 90(1–2):17–35
doi: 10.1002/cite.201700077
Dapelo D, Alberini F, Bridgeman J (2015) Euler-Lagrange CFD modelling of unconfined gas mixing in anaerobic digestion. Water Res 85:497–511
doi: 10.1016/j.watres.2015.08.042
Elibol EA, Turgut O (2022) Heat transfer and fluid flow characteristics in a long offset strip fin channel by using TiO
doi: 10.1007/s13369-022-06637-4
Fan W-B, Li W-G, Gong X-J, Zhang X-R (2015) Evaluation of the effect of a hydraulic impeller in a flocculation basin on hydrodynamic behavior using computational fluid dynamics. Desalin Water Treat 54(4–5):1361–1374
doi: 10.1080/19443994.2014.928801
Gicala B (2009) Computational fluid dynamics modelling of a suspension of solid particles in a full scale unbaffled vessel. Chem Process Eng 30(3):475–484
Hoseini S, Najafi G, Ghobadian B, Akbarzadeh A (2021) Impeller shape-optimization of stirred-tank reactor: CFD and fluid structure interaction analyses. Chem Eng J 413:127497
doi: 10.1016/j.cej.2020.127497
Kiran EU, Trzcinski AP, Ng WJ, Liu Y (2014) Bioconversion of food waste to energy: a review. Fuel 134:389–399
doi: 10.1016/j.fuel.2014.05.074
Kolmogorov AN (1991) Dissipation of energy in the locally isotropic turbulence. Proceed Royal Soc London Series a: Mathematic Phys Sci 434(1890):15–17
Kong JY, Wu ZW, Hou Y, Wang XD (2014) Numerical simulation for solid-liquid two-phase flow in stirred vanadium leaching tank. Appl Mech Mater 456:314–319
doi: 10.4028/www.scientific.net/AMM.456.314
Launder BE, Spalding DB (1972) Lectures in mathematical models of turbulence
Lemmer A, Naegele H-J, Sondermann J (2013) How efficient are agitators in biogas digesters? Determination of the efficiency of submersible motor mixers and incline agitators by measuring nutrient distribution in full-scale agricultural biogas digesters. Energies 6(12):6255–6273
doi: 10.3390/en6126255
Li X, Zhao H, Zhang Z, Liu Y (2021) Numerical optimization for blades of Intermig impeller in solid–liquid stirred tank. Chin J Chem Eng 29:57–66
doi: 10.1016/j.cjche.2020.08.044
Mao C, Feng Y, Wang X, Ren G (2015) Review on research achievements of biogas from anaerobic digestion. Renew Sustain Energy Rev 45:540–555
doi: 10.1016/j.rser.2015.02.032
Mao L, Zhang J, Dai Y, Tong Y-W (2019) Effects of mixing time on methane production from anaerobic co-digestion of food waste and chicken manure: experimental studies and CFD analysis. Biores Technol 294:122177
doi: 10.1016/j.biortech.2019.122177
Mohammadrezaei R, Zareei S, Behroozi-Khazaei N (2018) Optimum mixing rate in biogas reactors: energy balance calculations and computational fluid dynamics simulation. Energy 159:54–60
doi: 10.1016/j.energy.2018.06.132
Mousavi SE, Choudhury MR, Rahaman MS (2019) 3-D CFD-PBM coupled modeling and experimental investigation of struvite precipitation in a batch stirred reactor. Chem Eng J 361:690–702
doi: 10.1016/j.cej.2018.12.089
Murthy B, Kasundra R, Joshi J (2008) Hollow self-inducing impellers for gas–liquid–solid dispersion: experimental and computational study. Chem Eng J 141(1–3):332–345
doi: 10.1016/j.cej.2008.01.040
Rasool AA, Ahmad SS, Hamad F (2017) Effect of impeller type and rotational speed on flow behavior in fully baffled mixing tank. International Journal of Advanced Research (IJAR) 5(1):1195–1208
doi: 10.21474/IJAR01/2871
Sadino-Riquelme C, Hayes RE, Jeison D, Donoso-Bravo A (2018) Computational fluid dynamic (CFD) modelling in anaerobic digestion: general application and recent advances. Crit Rev Environ Sci Technol 48(1):39–76
doi: 10.1080/10643389.2018.1440853
Şenol H (2023) Alkaline-thermal and mild ultrasonic pretreatments for improving biomethane yields: impact on structural properties of chestnut shells. Fuel 354:129373
doi: 10.1016/j.fuel.2023.129373
Şenol H, Çolak E, Oda V (2024) Forecasting of biogas potential using artificial neural networks and time series models for Türkiye to 2035. Energy 131949
Şenol H, Dereli MA, Özbilgin F (2021) Investigation of the distribution of bovine manure-based biomethane potential using an artificial neural network in Turkey to 2030. Renew Sustain Energy Rev 149:111338
doi: 10.1016/j.rser.2021.111338
Servati P, Hajinezhad A (2020) CFD simulation of anaerobic digestier to investigate sludge rheology and biogas production. Biomass Convers Biorefin 10(4):885–899
doi: 10.1007/s13399-020-00793-z
Shen F, Tian L, Yuan H, Pang Y, Chen S, Zou D, Zhu B, Liu Y, Li X (2013) Improving the mixing performances of rice straw anaerobic digestion for higher biogas production by computational fluid dynamics (CFD) simulation. Appl Biochem Biotechnol 171(3):626–642
doi: 10.1007/s12010-013-0375-z
Sindall R, Bridgeman J, Carliell-Marquet C (2013) Velocity gradient as a tool to characterise the link between mixing and biogas production in anaerobic waste digesters. Water Sci Technol 67(12):2800–2806
doi: 10.2166/wst.2013.206
Singh B, Singh N, Čonka Z, Kolcun M, Siménfalvi Z, Péter Z, Szamosi Z (2021) Critical analysis of methods adopted for evaluation of mixing efficiency in an anaerobic digester. Sustainability 13(12):6668
doi: 10.3390/su13126668
Subramanian B, Miot A, Jones B, Klibert C, Pagilla KR (2015) A full-scale study of mixing and foaming in egg-shaped anaerobic digesters. Biores Technol 192:461–470
doi: 10.1016/j.biortech.2015.06.023
Versteeg HK, Malalasekera W (2007) An introduction to computational fluid dynamics: the finite, vol method. Pearson, England
Vesvikar MS, Al-Dahhan M (2005) Flow pattern visualization in a mimic anaerobic digester using CFD. Biotechnol Bioeng 89(6):719–732
doi: 10.1002/bit.20388
Vilardi G, Verdone N (2020) Production of metallic iron nanoparticles in a baffled stirred tank reactor: optimization via computational fluid dynamics simulation. Particuology 52:83–96
doi: 10.1016/j.partic.2019.12.005
Wang J, Xue Q, Guo T, Mei Z, Long E, Wen Q, Huang W, Luo T, Huang R (2018) A review on CFD simulating method for biogas fermentation material fluid. Renew Sustain Energy Rev 97:64–73
doi: 10.1016/j.rser.2018.08.029
Wu B (2009) CFD analysis of mechanical mixing in anaerobic digesters. Trans ASABE 52(4):1371–1382
doi: 10.13031/2013.27786
Wu B (2010) CFD simulation of mixing in egg-shaped anaerobic digesters. Water Res 44(5):1507–1519
doi: 10.1016/j.watres.2009.10.040
Wu B (2011) CFD investigation of turbulence models for mechanical agitation of non-Newtonian fluids in anaerobic digesters. Water Res 45(5):2082–2094
doi: 10.1016/j.watres.2010.12.020
Zhang G, Shi Y, Zhao Z, Wang X, Dou M (2020) Enhanced two-phase anaerobic digestion of waste-activated sludge by combining magnetite and zero-valent iron. Biores Technol 306:123122
doi: 10.1016/j.biortech.2020.123122
Zhang Y, Yu G, Yu L, Siddhu MAH, Gao M, Abdeltawab AA, Al-Deyab SS, Chen X (2016) Computational fluid dynamics study on mixing mode and power consumption in anaerobic mono-and co-digestion. Biores Technol 203:166–172
doi: 10.1016/j.biortech.2015.12.023