A Simple Prediction Model for Higher Heat Value of Biomass

doi:10.1021/acs.jced.6b00537

CAS OpenIR > 中科院上海应用物理研究所2011-2018年

	A Simple Prediction Model for Higher Heat Value of Biomass
	Qian, HL; Guo, XJ; Fan, SD; Hagos, K; Lu, XH; Liu, C; Huang, DC; Liu, C (reprint author), Nanjing Tech Univ, State Key Lab Mat Oriented Chem Engn, Nanjing 210009, Jiangsu, Peoples R China.; Huang, DC (reprint author), China Pharmaceut Univ, Sch Engn, Nanjing 210009, Jiangsu, Peoples R China.
	2016
发表期刊	JOURNAL OF CHEMICAL AND ENGINEERING DATA
ISSN	0021-9568
卷号	61 期号:12 页码:4039-4045
文章类型	期刊论文
摘要	A simple prediction model, based on ultimate analysis of biomass which is leveraged to predict higher heating value (HHV), was proposed in this paper. In the literature there are two facts offering some bases for the study. One is that oxygen (0) content is not an accurate value in the calculation of the reductance degree as well as the heat of combustion per unit of oxygen consumed of the biomass, and as a result, the determination of HHV turns out to be inaccurate, too. The other is that the 0 variable does not contribute to the overall physical interpretation of the HHV from the perspective of mathematics (the p-value), and therefore, a modified reductance degree of biomass was presented, whereas 0 content was neglected. According to the modified reductance degree, HHV per gram of oxygen consumed of one biomass was identified to be nearly a constant. Thus, two theoretical prediction models for the bio mass with and without sulfate (HHV' = 873.52(C/3 + H + S/8), HHV '' = 874.08(C/3 + H)) were established. The comparison between mean absolute error (MAE) of Thornton's method and 15 recently established empirical correlations shows that the MAE of the two prediction models is the least, which serves as strong evidence for the good HHV predictive capability of the two models, and their easy-to-operate quality as well. Furthermore, the coefficients of the two models are almost the same value, which indicates that the S content also has negligible effect on HHV. The final model that we proposed is model 2 (HHV '' = 874.08(C/3 + H)).
DOI	10.1021/acs.jced.6b00537
收录类别	SCI
语种	英语
WOS记录号	WOS:000389623400011
引用统计
文献类型	期刊论文
条目标识符	http://ir.sinap.ac.cn/handle/331007/26414
专题	中科院上海应用物理研究所2011-2018年
通讯作者	Liu, C (reprint author), Nanjing Tech Univ, State Key Lab Mat Oriented Chem Engn, Nanjing 210009, Jiangsu, Peoples R China.; Huang, DC (reprint author), China Pharmaceut Univ, Sch Engn, Nanjing 210009, Jiangsu, Peoples R China.
推荐引用方式 GB/T 7714	Qian, HL,Guo, XJ,Fan, SD,et al. A Simple Prediction Model for Higher Heat Value of Biomass[J]. JOURNAL OF CHEMICAL AND ENGINEERING DATA,2016,61(12):4039-4045.
APA	Qian, HL.,Guo, XJ.,Fan, SD.,Hagos, K.,Lu, XH.,...&Huang, DC .(2016).A Simple Prediction Model for Higher Heat Value of Biomass.JOURNAL OF CHEMICAL AND ENGINEERING DATA,61(12),4039-4045.
MLA	Qian, HL,et al."A Simple Prediction Model for Higher Heat Value of Biomass".JOURNAL OF CHEMICAL AND ENGINEERING DATA 61.12(2016):4039-4045.

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