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Higher heating value prediction of torrefaction char produced from non-woody biomass

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Abstract

The higher heating value of five types of nonwoody biomass and their torrefaction char was predicted and compared with the experimental data obtained in this paper. The correlation proposed in this paper and the ones suggested by previous researches were used for prediction. For prediction using proximate analysis data, the mass fraction of fixed carbon and volatile matter had a strong effect on the higher heating value prediction of torrefaction char of non-woody biomass. The high ash fraction found in torrefied char resulted in a decrease in prediction accuracy. However, the prediction could be improved by taking into account the effect of ash fraction. The correlation developed in this paper gave a better prediction than the ones suggested by previous researches, and had an absolute average error (AAE) of 2.74% and an absolute bias error (ABE) of 0.52%. For prediction using elemental analysis data, the mass fraction of carbon, hydrogen, and oxygen had a strong effect on the higher heating value, while no relationship between the higher heating value and mass fractions of nitrogen and sulfur was discovered. The best correlation gave an AAE of 2.28% and an ABE of 1.36%.

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References

  1. Sheng C, Azevedo J L T. Estimating the higher heating value of biomass fuels from basic analysis data. Biomass and Bioenergy, 2005, 28(5): 499–507

    Article  Google Scholar 

  2. Friedl A, Padouvas E, Rotter H, Varmuza K. Prediction of heating values of biomass fuel from elemental composition. Analytica Chimica Acta, 2005, 544(1–2): 191–198

    Article  Google Scholar 

  3. Shen J, Zhu S, Liu X, Zhang H, Tan J. The prediction of elemental composition of biomass based on proximate analysis. Energy Conversion and Management, 2010, 51(5): 983–987

    Article  Google Scholar 

  4. Nhuchhen D R, Abdul Salam P. Estimation of higher heating value of biomass from proximate analysis: a new approach. Fuel, 2012, 99: 55–63

    Article  Google Scholar 

  5. Akkaya A V. Proximate analysis based multiple regression models for higher heating value estimation of low rank coals. Fuel Processing Technology, 2009, 90(2): 165–170

    Article  Google Scholar 

  6. Cordero T, Marquez F, Rodriguez-Mirasol J, Rodriguez J J. Predicting heating values of lignocellulosics and carbonaceous materials from proximate analysis. Fuel, 2001, 80(11): 1567–1571

    Article  Google Scholar 

  7. Erol M, Haykiri-Acma H, Küçü kbayrak S. Calorific value estimation of biomass from their proximate analyses data. Renewable Energy, 2010, 35(1): 170–173

    Article  Google Scholar 

  8. Jenkins B M, Ebeling J M. Correlation of physical and chemical properties of terrestrial biomass with conversion. In: Proceedings of Energy from Biomass and Wastes IX, Chicago, 1985, 371–400

    Google Scholar 

  9. Kathiravale S, Muhd Yunus M N, Sopian K, Samsuddin A H, Rahman R A. Modeling the heating value of Municipal SolidWaste. Fuel, 2003, 82(9): 1119–1125

    Article  Google Scholar 

  10. Callejón-Ferre A J, Velázquez-Marti B, López-Martínez J A, Manzano-Agugliaro F. Greenhouse crop residues: energy potential and models for the prediction of their higher heating value. Renewable & Sustainable Energy Reviews, 2011, 15(2): 948–955

    Article  Google Scholar 

  11. Graboski M, Bain R. Properties of biomass relevant to gasification [Fuel gas production]. Biomass gasification—principles and technology, 1981, 41–69

    Google Scholar 

  12. Thipkhunthod P, Meeyoo V, Rangsunvigit P, Kitiyanan B, Siemanond K, Rirksomboon T. Predicting the heating value of sewage sludges in Thailand from proximate and ultimate analyses. Fuel, 2005, 84(7–8): 849–857

    Article  Google Scholar 

  13. Jiménez L, González F. Study of the physical and chemical properties of lignocellulosic residues with a view to the production of fuels. Fuel, 1991, 70(8): 947–950

    Article  Google Scholar 

  14. Parikh J, Channiwala S A, Ghosal G K. A correlation for calculating elemental composition from proximate analysis of biomass materials. Fuel, 2007, 86(12–13): 1710–1719

    Article  Google Scholar 

  15. Demirbas A. Calculation of higher heating values of biomass fuels. Fuel, 1997, 76(5): 431–434

    Article  Google Scholar 

  16. Küçükbayrak S, Dürüs B, Meríçboyu A E, Kadioglu E. Estimation of calorific values of Turkish lignites. Fuel, 1991, 70(8): 979–981

    Article  Google Scholar 

  17. Yin C Y. Prediction of higher heating values of biomass from proximate and ultimate analyses. Fuel, 2011, 90(3): 1128–1132

    Article  Google Scholar 

  18. Channiwala S A, Parikh P P. A unified correlation for estimating HHV of solid, liquid and gaseous fuels. Fuel, 2002, 81(8): 1051–1063

    Article  Google Scholar 

  19. Tillman D. Wood as an energy resource. New York: Academic, 1978

    Google Scholar 

  20. Francis H E, Lloyd W G. Predicting heating value from elemental composition. Journal of Coal Quality, 1983, 2: 2

    Google Scholar 

  21. Bridgeman T G, Jones J M, Williams A, Waldron D J. An investigation of the grindability of two torrefied energy crops. Fuel, 2010, 89(12): 3911–3918

    Article  Google Scholar 

  22. Chen W H, Cheng W Y, Lu K M, Huang Y P. An evaluation on improvement of pulverized biomass property for solid fuel through torrefaction. Applied Energy, 2011, 88(11): 3636–3644

    Article  Google Scholar 

  23. Medic D, Darr M, Shah A, Potter B, Zimmerman J. Effects of torrefaction process parameters on biomass feedstock upgrading. Fuel, 2012, 91(1): 147–154

    Article  Google Scholar 

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Correspondence to Nitipong Soponpongpipat.

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Soponpongpipat, N., Sittikul, D. & Sae-Ueng, U. Higher heating value prediction of torrefaction char produced from non-woody biomass. Front. Energy 9, 461–471 (2015). https://doi.org/10.1007/s11708-015-0377-3

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