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
ISSN0021-9568
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)).
DOI10.1021/acs.jced.6b00537
收录类别SCI
语种英语
WOS记录号WOS:000389623400011
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
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.
条目包含的文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
A Simple Prediction (517KB)期刊论文作者接受稿开放获取CC BY-NC-SA请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Qian, HL]的文章
[Guo, XJ]的文章
[Fan, SD]的文章
百度学术
百度学术中相似的文章
[Qian, HL]的文章
[Guo, XJ]的文章
[Fan, SD]的文章
必应学术
必应学术中相似的文章
[Qian, HL]的文章
[Guo, XJ]的文章
[Fan, SD]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。