Simulation of pyrolysis in low rank coal particle by using DAEM kinetics model: Reaction behavior and heat transfer. (1st November 2017)

• Record Type: Journal Article
• Authors: Wang, Junli; Lian, Wenhao; Li, Peng; Zhang, Zhonglin; Yang, Jingxuan; Hao, Xiaogang; Huang, Wei; Guan, Guoqing
• Is Part Of: Fuel. Volume 207(2017)
• Page Start: 126
• Page End: 135
• Publication Date: 2017-11-01
• Subjects: Low rank coal -- Pyrolysis -- Distribute activation energy model (DAEM) -- Kinetics -- Single particle model; Fuel -- Periodicals; Coal -- Periodicals; Coal; Fuel; Periodicals; 662.6
• DOI: 10.1016/j.fuel.2017.06.078
• Languages: English
• ISSNs: 0016-2361

Abstract

Graphical abstract: Highlights: Kinetic parameters of coal pyrolysis were obtained by DAEM via TG/DTG experiments. E0 = 186.5 kJ/mol, k0 = 3.96 × 10 10 s −1 and σ = 39.5 kJ/mol were obtained. A coal particle pyrolysis model coupling with reaction and heat transfer was proposed. Mass fraction and temperature profiles inside the coal particle was well predicted. ΔT > 300 K from surface to core of a 3 mm particle was predicted at 900 °C pyrolysis. Abstract: A comprehensive and systematic study on the fundamental pyrolysis behaviors of a single coal particle was performed in this study. The pyrolysis characteristics of coal was investigated by non-isothermal thermo gravimetric analysis whereas the reaction kinetic parameters were obtained by using the distribute activation energy model (DAEM). As three heating rate profiles were applied (10, 20 and 30 °C/min) in TG/DTG experiments with a final pyrolysis temperature of 900 °C, the obtained kinetic parameters, i.e., activation energy (E0 ), pre-exponential factor (k0 ) and standard deviation (σ) were 186.5 kJ/mol, 3.96 × 10 10 s −1 and 39.5 kJ/mol, respectively. When these calculated kinetic parameters were used to predict devolatilization curves, the simulation results were in well agreement with the experimental data. As such, a one-dimensional, time-dependent particle pyrolysis model was proposed to characterize the detailed chemical and physical phenomena occurred within a pyrolyzing coal particle. It is found that this model successfully predicted the mass fraction residue and temperature profiles inside the coal particle. In addition, the effect of particle size on pyrolysis performance was also investigated through simulation. It is expected that such a model can be integrated with CFD simulation to provide useful insight for the design of a practical coal pyrolysis reactor.