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Improving the Mixing Performances of Rice Straw Anaerobic Digestion for Higher Biogas Production by Computational Fluid Dynamics (CFD) Simulation

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Abstract

As a lignocellulose-based substrate for anaerobic digestion, rice straw is characterized by low density, high water absorbability, and poor fluidity. Its mixing performances in digestion are completely different from traditional substrates such as animal manures. Computational fluid dynamics (CFD) simulation was employed to investigate mixing performances and determine suitable stirring parameters for efficient biogas production from rice straw. The results from CFD simulation were applied in the anaerobic digestion tests to further investigate their reliability. The results indicated that the mixing performances could be improved by triple impellers with pitched blade, and complete mixing was easily achieved at the stirring rate of 80 rpm, as compared to 20–60 rpm. However, mixing could not be significantly improved when the stirring rate was further increased from 80 to 160 rpm. The simulation results agreed well with the experimental results. The determined mixing parameters could achieve the highest biogas yield of 370 mL (g TS)−1 (729 mL (g TSdigested)−1) and 431 mL (g TS)−1 (632 mL (g TSdigested)−1) with the shortest technical digestion time (T 80) of 46 days. The results obtained in this work could provide useful guides for the design and operation of biogas plants using rice straw as substrates.

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References

  1. Raposo, F., De la Rubia, M. A., Fernández-Cegrí, V., & Borja, R. (2012). Anaerobic digestion of solid organic substrates in batch mode: an overview relating to methane yields and experimental procedures. Renewable and Sustainable Energy Reviews, 16, 861–877.

    Article  CAS  Google Scholar 

  2. Guiot, S. R., & Frigon, J. C. (2012). Anaerobic digestion as an effective biofuel production technology. In P. C. Hallenbeck (Ed.), Microbial technologies in advanced biofuels production (pp. 143–161). New York: Springer.

    Chapter  Google Scholar 

  3. Lei, Z., Chen, J., Zhang, Z., et al. (2010). Methane production from rice straw with acclimated anaerobic sludge: effect of phosphate supplementation. Bioresource Technology, 101, 4343–4348.

    Article  CAS  Google Scholar 

  4. Binod, P., Sindhu, R., Singhania, R. R., et al. (2010). Bioethanol production from rice straw: an overview. Bioresource Technology, 101, 4767–4774.

    Article  CAS  Google Scholar 

  5. Jin, S., & Chen, H. (2006). Structural properties and enzymatic hydrolysis of rice straw. Process Biochemistry, 41, 1261–1264.

    Article  CAS  Google Scholar 

  6. Chen, Y., Cheng, J. J., & Creamer, K. S. (2008). Inhibition of anaerobic digestion process: a review. Bioresource Technology, 99, 4044–4064.

    Article  CAS  Google Scholar 

  7. Terashima, M., Goel, R., Komatsu, K., et al. (2009). CFD simulation of mixing in anaerobic digesters. Bioresource Technology, 100, 2228–2233.

    Article  CAS  Google Scholar 

  8. Karim, K., Hoffmann, R., Thomas Klasson, K., et al. (2005). Anaerobic digestion of animal waste: effect of mode of mixing. Water Research, 39, 3597–3606.

    Article  CAS  Google Scholar 

  9. Sawyer, C., & Grumbling, J. (1960). Fundamental considerations in high-rate digestion. Journal of the Sanitary Engineering Division, 86, 43–69.

    Google Scholar 

  10. Smith, L. C., Elliot, D. J., & James, A. (1996). Mixing in upflow anaerobic filters and its influence on performance and scale-up. Water Research, 30, 3061–3073.

    Article  CAS  Google Scholar 

  11. Liu, Y. (2009). The study of mixing and strirring for high solids biogas fermentation and its influence factors. Chendu, China: Ph.D. thesis, Chinese Academy of Agricultural Sciences.

    Google Scholar 

  12. Gómez, X., Cuetos, M. J., Cara, J., Morán, A., et al. (2006). Anaerobic co-digestion of primary sludge and the fruit and vegetable fraction of the municipal solid wastes: conditions for mixing and evaluation of the organic loading rate. Renewable Energy, 31, 2017–2024.

    Article  Google Scholar 

  13. McMahon, K. D., Stroot, P. G., Mackie, R. I., et al. (2001). Anaerobic codigestion of municipal solid waste and biosolids under various mixing conditions–II: microbial population dynamics. Water Research, 35, 1817–1827.

    Article  CAS  Google Scholar 

  14. Wu, B. (2009). CFD analysis of mechanical mixing in anaerobic digesters. Transactions of ASAE, 52, 1371–1382.

    Google Scholar 

  15. Gicala, B. (2009). Computational fluid dynamics modelling of a suspension of solid particles in a full scale unbaffled vessel. Chemical and Process Engineering, 30, 475–484.

    CAS  Google Scholar 

  16. Wu, B. (2010). CFD simulation of mixing in egg-shaped anaerobic digesters. Water Research, 44, 1507–1519.

    Article  CAS  Google Scholar 

  17. Karim, K., Varma, R., Vesvikar, M., et al. (2004). Flow pattern visualization of a simulated digester. Water Research, 38, 3659–3670.

    Article  CAS  Google Scholar 

  18. Wu, B. (2013). Advances in the use of CFD to characterize, design and optimize bioenergy systems. Computers and Electronics in Agriculture, 93, 195–208.

    Article  Google Scholar 

  19. Mendoza, A. M., Martínez, T. M., & Fajardo, V. (2011). Modeling flow inside an anaerobic digester by CFD techniques. International Journal of Energy and Environment, 2, 963–974.

    CAS  Google Scholar 

  20. Meroney, R. N., & Colorado, P. E. (2009). CFD simulation of mechanical draft tube mixing in anaerobic digester tanks. Water Research, 43, 1040–1050.

    Article  CAS  Google Scholar 

  21. Wu, B. (2011). CFD investigation of turbulence models for mechanical agitation of non-Newtonian fluids in anaerobic digesters. Water Research, 45, 2082–2094.

    Article  CAS  Google Scholar 

  22. Wu, B. (2012). CFD simulation of mixing for high-solids anaerobic digestion. Biotechnology and Bioengineering, 109, 2116–2126.

    Article  CAS  Google Scholar 

  23. Metzner, A., & Reed, J. (1955). Flow of non-newtonian fluids-correlation of the laminar, transition, and turbulent flow regions. AICHE Journal, 1, 434–440.

    Article  CAS  Google Scholar 

  24. Zhang, R., & Zhang, Z. (1999). Biogasification of rice straw with an anaerobic-phased solids digester system. Bioresource Technology, 68, 235–245.

    Article  CAS  Google Scholar 

  25. Pang, Y. Z., Liu, Y. P., Li, X. J., et al. (2008). Improving biodegradability and biogas production of corn stover through sodium hydroxide solid state pretreatment. Energy & Fuels, 22, 2761–2766.

    Article  CAS  Google Scholar 

  26. Zheng, M., Li, X., Li, L., et al. (2009). Enhancing anaerobic biogasification of corn stover through wet state NaOH pretreatment. Bioresource Technology, 100, 5140–5145.

    Article  CAS  Google Scholar 

  27. Armenante, P. M., & Chou, C. C. (1996). Velocity profiles in a baffled vessel with single or double pitched-blade turbines. AICHE Journal, 42, 42–54.

    Article  CAS  Google Scholar 

  28. Komori, S., & Murakami, Y. (1988). Turbulent mixing in baffled stirred tanks with vertical-blade impellers. AICHE Journal, 34, 932–937.

    Article  CAS  Google Scholar 

  29. Zhang, J., Zhang, L., & Wang, H. (2005). Anaerobic digestion of organic fraction of municipal solid waste. Ecology and Environment, 14, 321–324.

    Google Scholar 

  30. Khopkar, A. R., Kasat, G. R., Pandit, A. B., et al. (2006). Computational fluid dynamics simulation of the solid suspension in a stirred slurry reactor. Industrial and Engineering Chemistry Research, 45, 4416–4428.

    Article  CAS  Google Scholar 

  31. Oshinowo, L. M., Bakker, A., & Lebanon, N. (2002). In M. Cross, J. W. Evans, & C. Bailey (Eds.), CFD modeling of solids suspensions in stirred tanks (pp. 205–215). Seattle, WA: Symposium on Computational Modeling of Metals, Minerals and Materials.

    Google Scholar 

  32. Li, R., Liu, Y., & Li, X. (2008). Biogasification performance of anaerobic co-digestion of kitchen residues and cattle manure. Renewable Energy, 26, 64–68.

    CAS  Google Scholar 

  33. Liu, R., & Shen, F. (2008). Impacts of main factors on bioethanol fermentation from stalk juice of sweet sorghum by immobilized Saccharomyces cerevisiae (CICC 1308). Bioresource Technology, 99, 847–854.

    Article  CAS  Google Scholar 

  34. Palmowski, L., & Müller, J. (2000). Influence of the size reduction of organic waste on their anaerobic digestion. Water Science and Technology, 41, 155–162.

    CAS  Google Scholar 

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Acknowledgments

We would like to acknowledge the financial support from the National Eleventh Five-Year Research Program of China (2008BADC4B13 and 2008BADC4B14) and the International Cooperation Project between China and USA (2011DFA90800) from the Ministry of Science and Technology of the People’s Republic of China. We would also like to acknowledge the China Postdoctoral Science Foundation (2012M520145).

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Correspondence to Hairong Yuan or Xiujin Li.

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Shen, F., Tian, L., Yuan, H. et al. Improving the Mixing Performances of Rice Straw Anaerobic Digestion for Higher Biogas Production by Computational Fluid Dynamics (CFD) Simulation. Appl Biochem Biotechnol 171, 626–642 (2013). https://doi.org/10.1007/s12010-013-0375-z

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