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Prediction of kinetic parameters of biomass pyrolysis based on the optimal mixture design method

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Abstract

Kinetic analysis is important for the study on the pyrolysis process of biomass. In this study, the contents of three components (cellulose, hemicellulose, and lignin) were firstly optimized according to the optional mixture design method. Then, the fast pyrolysis of three components and their mixtures were conducted in a thermogravimetric analyzer (TGA) to explore the pyrolysis characteristics of the mixtures and the synergistic relationship among the three components. Moreover, the prediction model of the kinetic parameters of the pyrolysis process was established and verified. The exploration results indicated that the interaction among the three components existed in the pyrolysis process, reflecting both the positive and negative synergistic relationships. The pyrolysis reaction of the mixtures of three components mainly occurred in the temperature range of 210–500 °C. In the temperature range of 210–390 °C, the average reaction order was 1.3 and the pyrolysis reaction required a high activation energy. In the temperature ranges of 390–500 °C, the average reaction order was 1.7 and the pyrolysis reaction required a relatively lower activation energy. The three components showed an interactive influence on kinetic parameters and the influence varied with the temperature range. The regression prediction model of the pyrolysis process of three components had a high accuracy and could predict the kinetic parameters of biomass pyrolysis effectively.

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References

  • Adler E (1977) Lignin chemistry-past, present and future. Wood Sci Technol 11:169–218

    Article  CAS  Google Scholar 

  • Amen-Chen C, Pakdel H, Roy C (2001) Product of monomeric phenols by thermochemical conversion of biomass: a review. Bioresour Technol 79:27–29

    Article  Google Scholar 

  • Anca-Couce A, Berger A, Zobel N (2014) How to determine consistent biomass pyrolysis kinetics in a parallel reaction scheme. Fuel 123:230–240

    Article  CAS  Google Scholar 

  • Chen WH, Kuo PC (2011) Isothermal torrefaction kinetics of hemicellulose, cellulose, lignin and xylan using thermogravimetric analysis. Energy 36:6451–6460

    Article  CAS  Google Scholar 

  • Coats AW, Redfern JP (1964) Kinetic parameters from thermogravimetric data. Nature 201:68–69

    Article  CAS  Google Scholar 

  • Collard FX, Blin J (2014) A review on pyrolysis of biomass constituents: mechanisms and composition of the products obtained from the conversion of cellulose, hemicellulose and lignin. Renew Sustain Enemy Rev 38:594–608

    Article  CAS  Google Scholar 

  • Demirbas A (2011) Competitive liquid biofuels from biomass. Appl Energy 88:17–28

    Article  CAS  Google Scholar 

  • Giudicianni P, Cardone G, Ragucci R (2013) Cellulose, hemicelluloses and lignin slow steam pyrolysis: thermal decomposition of biomass components mixture. J Anal Appl Pyrol 100:213–222

    Article  CAS  Google Scholar 

  • Hu YM, Jiang JC, Sun YJ, Yang ZZ (2014) Interaction between cellulose and hemicellulose pyrolysis process. Chem Indus For Prod 04:1–8

    Google Scholar 

  • Kissinger HE (1957) Reaction kinetics in differential thermal analysis. Anal Chem 29:1702–1706

    Article  CAS  Google Scholar 

  • Li BS, Lv W, Zhang Q, Wang T, Ma L (2014) Pyrolysis and catalytic pyrolysis of industrial lignins by TG-FTIR: kinetics and products. J Anal Appl Pyrol 108:295–300

    Article  CAS  Google Scholar 

  • Liu Q, Yang XC, Dong CQ, Zhang ZF, Zhang XM, Zhu XF (2011) Influence of pyrolysis temperature and time on the cellulose fast pyrolysis products: analytical Py-GC/MS study. J Anal Appl Pyrol 92:430–438

    Article  Google Scholar 

  • Lv G, Wu S, Yang G, Chen J, Liu Y, Kong F (2013) Comparative study of pyrolysis behaviors of corn stalk and its three components. J Anal Appl Pyrol 104:185–193

    Article  CAS  Google Scholar 

  • Maroušek J (2014) Significant breakthrough in biochar cost reduction. Clean Technol Environ Policy 16:1821–1825

    Article  Google Scholar 

  • Maroušek J, Zeman R, Vaníčková R, Hašková S (2014) New concept of urban green management. Clean Technol Environ Policy 16:1835–1838

    Article  Google Scholar 

  • Maroušek J, Hašková S, Zeman R, Váchal J, Vaníčková R (2015a) Processing of residues from biogas plants for energy purposes. Clean Technol Environ Policy 17:797–801

    Article  Google Scholar 

  • Maroušek J, Hašková S, Zeman R, Žák J, Vaníčková R (2015b) Techno-economic assessment of processing the cellulose casings waste. Clean Technol Environ Policy 2015:1–6

    Google Scholar 

  • Muller-Hagedornm M (2003) A comparative kinetic study on the pyrolysis of three different wood species. J Anal Appl Pyrol 68:231–249

    Article  Google Scholar 

  • Raveendran K, Ganesh A, Khilar KC (1995) Influence of mineral matter on biomass pyrolysis characteristics. Fuel 74:1812–1822

    Article  CAS  Google Scholar 

  • Stefanidis SD, Kalogiannis KG, Iliopoulou EF, Michailof CM, Pilavachi PA, Lappas AA (2014) A study of lignocellulosic biomass pyrolysis via the pyrolysis of cellulose, hemicellulose and lignin. J Anal Appl Pyrol 105:143–150

    Article  CAS  Google Scholar 

  • Taro S, Nakorn W (2008) Kinetic analyses of biomass pyrolysis using the distributed activation energy mode. Fuel 87:414–421

    Article  Google Scholar 

  • Várhegyi G, Bobály B, Jakab E, Chen H (2010) Thermogravimetric study of biomass pyrolysis kinetics: a distributed activation energy model with prediction tests. Energy Fuels 25:24–32

    Article  Google Scholar 

  • Wang SR, Guo X, Wang K, Luo Z (2011) Influence of the interaction of components on the pyrolysis behavior of biomass. J Anal Appl Pyrol 91:183–189

    Article  CAS  Google Scholar 

  • Wen LH (2005) Kinetics study on pyrolysis of biomass components. Zhejiang University, Zhejiang

    Google Scholar 

  • White JE, Catallo WJ, Legendre BL (2011) Biomass pyrolysis kinetics: a comparative critical review with relevant agricultural residue case studies. Cheminform 91:1–33

    CAS  Google Scholar 

  • Yang H, Rong Y, Chen H, Zheng C, Dong HL, Liang DT (2005) In-depth investigation of biomass pyrolysis based on three major components: hemicellulose, cellulose and lignin. Energy Fuels 20:388–393

    Article  Google Scholar 

  • Yang HP, Chen HP, Du SL (2009) Influence of alkali salts on the pyrolysis of biomass three components. Proc CSEE 29:70–75 (in Chinese)

    CAS  Google Scholar 

Download references

Acknowledgments

The study was supported by the National Natural Science Fund Program of China (Nos. U1361115 and 51276040).

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Correspondence to Zhaoping Zhong or Bo Zhang.

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Zhang, J., Zhong, Z., Zhang, B. et al. Prediction of kinetic parameters of biomass pyrolysis based on the optimal mixture design method. Clean Techn Environ Policy 18, 1621–1629 (2016). https://doi.org/10.1007/s10098-016-1137-8

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  • DOI: https://doi.org/10.1007/s10098-016-1137-8

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