Application of LSSVM algorithm for estimating higher heating value of biomass based on ultimate analysis

被引：48

作者：

Duan, Min ^{[1
]}

Liu, Zhenling ^{[2
]}

Yan, Dijiao ^{[3
]}

Peng, Wanxi ^{[4
]}

Baghban, Alireza ^{[5
]}

机构：

[1] Xucang Univ, Sch Traff & Transportat, Xucang, Peoples R China

[2] Henan Univ Technol, Sch Management, Zhengzhou, Henan, Peoples R China

[3] North China Elect Power Univ, Sch Nucl Sci & Engn, Beijing, Peoples R China

[4] Henan Agr Univ, Coll Forestry, Zhengzhou, Henan, Peoples R China

[5] Amirkabir Univ Technol, Dept Chem Engn, Mahshahr, Iran

来源：

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS | 2018年 / 40卷 / 06期

关键词：

Biomass; energy source; HHV; LSSVM; predicting algorithm; ultimate analysis; PROXIMATE ANALYSIS; PREDICTION MODEL;

D O I：

10.1080/15567036.2018.1454552

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The higher heating value (HHV) is known as one of the energy evaluation parameters for biomass which has wide application in economic aspects investigation of energy sources. In this investigation the LSSVM algorithm as novel predicting model in the purpose of estimation of higher heating value in terms of ultimate analysis. A total number of 78 experimental data for training and testing of the algorithm were gathered from literature.in the purpose of evaluation of estimating algorithm the results are reported graphically and statistically. The calculated statistical indexes for overall data such as Root mean square error (RMSE), average absolute relative deviation (AARD) and the coefficient of determination (R-2) are 9.2881, 0.038005 and 0.99996 respectively also the graphical results confirm the potential of LSSVM algorithm to be a predicting tool and a simple software for estimation of HHV as function of ultimate analysis.

引用

页码：709 / 715

页数：7

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