A Novel Method of Kinetic Analysis and Its Application to Pulverized Coal Combustion under Different Oxygen Concentrations

Xiang Gou, Qiyan Zhang, Yingfan Liu, Zifang Wang, Mulin Zou and Xuan Zhao
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Xiang Gou: School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China
Qiyan Zhang: School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China
Yingfan Liu: School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China
Zifang Wang: School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China
Mulin Zou: International Department, RDFZ Xishan School, Beijing 100193, China
Xuan Zhao: School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China

Energies, 2018, vol. 11, issue 7, 1-15

Abstract: Currently, many efforts have been made to improve the approach to build kinetic models. Based on mathematical algorithms, a novel method (named DIM method) of kinetic analysis was introduced in detail. A formula combining differential and integral was deduced and applied to the determination of the mechanism function f ( α ). Subsequently, multivariable linear regression was conducted to simultaneously obtain the apparent activation energy E , pre-exponential factor A , and oxygen concentration exponent n . In the application of pulverized coal combustion under different oxygen concentrations (3%, 5%, 10%, 15%, and 21%), E , A , and n were calculated as 258,164 J/mol, 6.660 × 10 17 s −1 , and 3.326, respectively, and the mechanism function f ( α ) was determined as the Avrami-Erofeev equation. A validation was performed under a 7% oxygen concentration, which shows that the DIM method has a higher accuracy. This work can provide a reference for the study of kinetic analysis.

Keywords: kinetic analysis; pulverized coal combustion; thermogravimetry-differential thermogravimetry (TG-DTG); multivariable linear regression (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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