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Frontiers in Energy

ISSN 2095-1701

ISSN 2095-1698(Online)

CN 11-6017/TK

邮发代号 80-972

2019 Impact Factor: 2.657

Frontiers in Energy  2015, Vol. 9 Issue (4): 461-471   https://doi.org/10.1007/s11708-015-0377-3
  本期目录
Higher heating value prediction of torrefaction char produced from non-woody biomass
Nitipong SOPONPONGPIPAT(),Dussadeeporn SITTIKUL,Unchana SAE-UENG
Department of Mechanical Engineering, Faculty of Engineering and Industrial Technology, Silpakorn University, Nakhon Pathom 73000, Thailand
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Abstract

The higher heating value of five types of non-woody 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%.

Key wordshigher heating value    correlation    biomass    proximate analysis    ultimate analysis
收稿日期: 2014-12-27      出版日期: 2015-11-04
Corresponding Author(s): Nitipong SOPONPONGPIPAT   
 引用本文:   
. [J]. Frontiers in Energy, 2015, 9(4): 461-471.
Nitipong SOPONPONGPIPAT,Dussadeeporn SITTIKUL,Unchana SAE-UENG. Higher heating value prediction of torrefaction char produced from non-woody biomass. Front. Energy, 2015, 9(4): 461-471.
 链接本文:  
https://academic.hep.com.cn/fie/CN/10.1007/s11708-015-0377-3
https://academic.hep.com.cn/fie/CN/Y2015/V9/I4/461
Biomass Species
Sugarcane leaves Saccharum spontaneum L.
Oil palm frond Elaeis quineensis
Rice straw Oryza sativa L.
Corncob Z. mays
Cassava rhizome M. esculenta
Tab.1  
Biomass Temperature /°C Torrefaction time/min Weight percentages (dry basis) HHVexp/(MJ·kg−1)
Ash VM FC C H N S O
Sugarcane leaves Raw 8.3±0.3 73.8±1.0 17.9±1.2 47.4 5.9 0.55 0.15 37.7 17.94±0.60
220 15 7.6±0.3 73.8±1.2 18.6±1.3 47.9 5.6 0.49 0.18 38.2 18.76±0.82
260 15 9.5±0.3 66.7±1.3 23.8±1.2 50.9 5.4 0.30 0.17 33.7 20.01±0.36
260 60 9.6±0.2 67.4±1.3 23.0±1.5 51.7 5.2 0.34 0.21 33 20.01±0.73
280 60 9.9±0.1 58.4±1.0 31.7±1.3 56.5 5.1 0.46 0.23 27.8 21.65±0.43
Oil palm frond Raw 4.0±0.2 79.1±1.5 16.9±1.4 44.8 5.5 0.31 0.12 45.3 18.21±0.79
220 60 4.5±0.3 70.8±1.1 24.7±1.5 52.7 5.6 0.26 0.07 36.9 20.20±0.29
260 15 5.0±0.4 66.4±1.4 28.6±1.3 55.2 5.2 0.27 0.08 34.2 21.21±0.47
260 35 5.4±0.1 63.5±1.3 31.1±1.5 56.4 4.9 0.32 0.07 32.9 21.95±0.32
260 60 5.6±0.3 61.0±1.1 33.4±1.4 58.4 5 0.36 0.07 30.6 22.48±0.45
280 60 6.4±0.1 53.0±1.4 40.6±1.6 63.2 4.7 0.35 0.08 25.3 24.41±0.50
Rice straw Raw 11.2±0.7 71.8±0.9 17.0±1.8 45.3 5.9 0.88 0.15 36.6 17.20±0.28
220 60 14.9±0.8 68.9±1.2 16.2±1.0 45.8 5.5 0.9 0.09 32.8 17.38±0.60
260 20 17.9±0.5 62.5±1.0 19.6±1.7 47.4 4.9 0.97 0.08 28.8 18.45±0.41
260 40 18.5±0.5 59.8±1.2 21.7±1.3 49.1 5.1 0.98 0.07 26.2 18.78±0.57
260 60 18.9±0.7 58.9±2.2 22.2±2.1 46.9 5 1.0 0.07 28.1 18.89±0.39
280 60 24.0±0.5 46.0±2.0 30.0±0.9 51.4 4.4 1.2 0.07 18.9 20.73±0.66
Cassava rhizome Raw 5.0±0.4 76.0±0.9 19.0±2.4 49.2 6.7 1.0 0.11 38.0 17.22±0.81
220 60 10.7±0.5 70.4±1.8 18.9±1.7 46.3 5.6 0.88 0.09 36.4 18.50±0.59
260 20 10.5±0.4 68.7±1.4 20.8±1.0 49.3 5.1 0.96 0.09 34.0 19.18±0.61
260 40 12.2±0.5 64.7±1.2 23.1±1.4 49.1 5.1 0.94 0.09 32.6 19.65±0.73
260 60 11.6±0.6 65.8±1.4 22.6±1.4 50.6 5.2 0.97 0.09 31.5 19.79±0.76
280 60 11.8±0.4 58.7±1.9 29.5±1.0 52.5 4.5 1.1 0.09 30.0 21.12±0.34
Corncob Raw 2.0±0.5 80.5±2.9 17.5±1.4 49.7 5.9 0.38 0.03 42.0 19.06±0.24
220 60 6.0±0.3 74.7±2.2 19.3±1.9 48.2 5.4 0.94 0.08 39.4 19.01±0.65
260 10 7.5±0.3 64.2±1.2 28.3±2.1 54.5 5.5 1.2 0.1 31.2 21.28±0.84
260 60 8.2±0.4 61.9±1.0 29.9±1.7 53.4 4.9 1.2 0.11 32.2 21.45±0.89
280 60 10.6±0.5 49.4±1.5 40.0±1.2 62.3 4.6 1.5 0.1 20.9 23.83±0.47
Tab.2  
Correlation No. Equation Researchers R2 reported HHV unit Types of material
Correlations based on proximate analysis Eq. (1) HHV=354.3FC+170.08VM Cordero et al., 2001 [6] 0.999 kJ/kg Forest/agricultural wastes /char
Eq. (2) HHV=0.196FC+14.119 Demirbaş, 1997 [15] −0.647 MJ/kg Biomass
Eq. (3) HHV=0.3536FC+0.1559VM−0.0078Ash Parikh et al., 2007 [14] 0.942 MJ/kg Solid carbonaceous materials (Coals,lignite,manufactured fuel, biomass,MSW, biomass char)
Eq. (4) HHV=0.1905VM+0.2521FC Yin, 2011 [17] 0.995 MJ/kg Biomass
Eq. (5) HHV=19.288−0.2135VM/FC−1.9584Ash+0.0234FC/Ash Nhuchhen and Abdul Salam, 2012 [4] MJ/kg Biomass (by products of fruits, Agri-wastes,wood, grasses,leaves, fibrous materials)
Eq. (6) HHV=20.7999−0.3214VM/FC+0.0051(VM/FC)2−11.2277Ash/VM+4.4953(Ash/VM)2−0.7223(Ash/VM)3+0.0383(Ash/VM)4+0.0076FC/Ash Nhuchhen and Abdul Salam, 2012 [4] MJ/kg
Eq. (7) HHV=259.3(VM+FC)−2454.76 Thipkhunthod et al., 2005 [12] 0.899 kJ/kg Sewage sludge
Eq. (8) HHV=−3.0368+0.2218VM+0.2601FC Sheng and Azevedo, 2005 [1] 0.617 MJ/kg Biomass
Eq. (9) HHV=0.312FC+0.1534VM Demirbaş, 1997 [15] −0.306 MJ/kg Biomass
Eq. (10) HHV=19.914−0.2324Ash Sheng and Azevedo, 2005 [1] 0.625 MJ/kg Biomass
Eq. (11) HHV=−10.8141+0.3133(VM+FC) Jiménez and González, 1991 [13] 0.533 MJ/kg Lignocellulosic residues
Correlations based on ultimate analysis Eq. (12) HHV=0.3259C+3.4597 Sheng and Azevedo, 2005 [1] 0.758 MJ/kg Biomass
Eq. (13) HHV=3.55C2−232C−2230H+51.2C×H+131N+20600 Friedl et al., 2005 [2] 0.943 kJ/kg Biomass
Eq. (14) HHV=0.3491C+1.178H+0.1005S−0.1034O−0.015N−0.0211Ash Channiwala and Parikh, 2002 [18] 0.733 MJ/kg Gaseous and liquid fuels/coal/coke/biomass/refuse,MSW/animal waste
Eq. (15) HHV=0.4373C−1.6707 Tillman, 1978 [19] 0.666 MJ/kg Biomass/refuse
Eq. (16) HHV=0.2949C+0.825H Yin, 2011 [17] 0.997 MJ/kg Biomass
Eq. (17) HHV=−1.3675+0.3137C+0.7009H+0.0318O Sheng and Azevedo, 2005 [1] 0.834 MJ/kg Biomass
Eq. (18) HHV=−0.763+0.301C+0.525H+0.064O Jenkins and Ebeling, 1985 [8] 0.792 MJ/kg Biomass
Eq. (19) HHV=430.2C−186.7H−127.4N+178.6S+184.2O−2379.9 Thipkhunthod et al., 2005 [12] 0.905 kJ/kg Biomass
Tab.3  
Fig.1  
Fig.2  
Correlations No. Equation Evaluation of error in this paper
AAE/% ABE/%
Correlations based on proximate analysis Eq.(1) HHV=354.3FC+170.08VM 3.61 −0.29
Eq.(2) HHV=0.196FC+14.119 5.26 −4.89
Eq.(3) HHV=0.3536FC+0.1559VM−0.0078Ash 6.08 −5.51
Eq.(4) HHV=0.1905VM+0.2521FC 7.97 −5.83
Eq.(5) HHV=19.288−0.2135VM/FC−1.9584Ash/VM+0.0234FC/Ash 8.19 −6.93
Eq.(6) HHV=20.7999−0.3214VM/FC+0.0051(VM/FC)2−11.2277Ash/VM+4.4953(Ash/VM)2−0.7223(Ash/VM)3+0.0383(Ash/VM)4+0.0076FC/Ash 9.12 −7.64
Eq.(7) HHV=259.3(VM+FC)−2454.76 9.43 −5.86
Eq.(8) HHV=−3.0368+0.2218VM+0.2601FC 10.85 −9.76
Eq.(9) HHV=0.312FC+0.1534VM 11.14 −10.98
Eq.(10) HHV=19.914−0.2324Ash 12.18 −11.03
Eq.(11) HHV=−10.8141+0.3133(VM+FC) 13.51 −12.07
Correlations based on ultimate analysis Eq.(12) HHV=0.3259C+3.4597 2.28 1.36
Eq.(13) HHV=3.55C2−232C−2230H+51.2C×H+131N+20600 2.76 1.60
Eq.(14) HHV=0.3491C+1.178H+0.1005S−0.1034O−0.015N−0.0211Ash 3.96 3.07
Eq.(15) HHV=0.4373C−1.6707 4.42 4.09
Eq.(16) HHV=0.2949C+0.825H 4.43 −2.03
Eq.(17) HHV=−1.3675+0.3137C+0.7009H+0.0318Oa 4.49 −2.12
Eq.(18) HHV=−0.763+0.301C+0.525H+0.064O 4.64 −1.67
Eq.(19) HHV=430.2C−186.7H−127.4N+178.6S+184.2O−2379.9 23.99 23.99
Tab.4  
Fig.3  
Fig.4  
No. Equation unita HHV unit Evaluation of error in this paper Data used for prediction
R2 AAE% ABE%
Eq.(27) HHV=35.4879−0.3023Ash −0.1905VM wt% MJ/kg 0.981 2.74 0.52 Proximate analysis data conducted in this paper
2.08 0.32 Proximate analysis data conducted by Cordero et al., 2001 [6]
2.43 −0.13 Both proximate analysis data conducted in this paper and conducted by Cordero et al., 2001 [6]
Tab.5  
Fig.5  
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