Corrigendum to “Impact of n-butanol-gasoline-hydrogen blends on combustion reactivity, performance and tailpipe emissions using TGDI engine parameters variation” [Sustain. Energy Technol. Assess. 40 (2020) 100773]

2020 ◽  
Vol 41 ◽  
pp. 100804
Author(s):  
Abdulfatah Abdu Yusuf ◽  
Freddie L. Inambao ◽  
Atiku Abubakar Farooq
Keyword(s):  
Combustion Reactivity

scholarly journals Macerals of Shengli Lignite in Inner Mongolia of China and Their Combustion Reactivity

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Ying Yue Teng ◽  
Yu Zhe Liu ◽  
Quan Sheng Liu ◽  
Chang Qing Li
Keyword(s):  
Activation Energy ◽  
Homogeneous Model ◽  
Optical Microscope ◽  
Core Model ◽  
Shrinking Core Model ◽  
Compact Structure ◽  
Shrinking Core ◽  
Combustion Reactivity ◽  
Combustion Processes ◽  
Kinetics Of

The macerals, including fusinitic coal containing 72.20% inertinite and xyloid coal containing 91.43% huminite, were separated from Shengli lignite using an optical microscope, and their combustion reactivity was examined by thermogravimetric analysis. Several combustion parameters, including ignition and burnout indices, were analyzed, and the combustion kinetics of the samples were calculated by regression. Fusinitic coal presented a porous structure, while xyloid coal presented a compact structure. The specific surface area of fusinitic coal was 2.5 times larger than that of xyloid coal, and the light-off temperature of the former was higher than that of the latter. However, the overall combustion reactivity of fusinitic coal was better than that of xyloid coal. The combustion processes of fusinitic and xyloid coals can be accurately described by both the homogeneous model and the shrinking core model. The features of xyloid coal agree with the shrinking core model when its conversion rate is 10%–90%. The activation energy of fusinitic coal during combustion can be divided into three phases, with the middle phase featuring the highest energy. The activation energy of xyloid coal is lower than that of fusinitic coal in the light-off phase, which may explain the low light-off temperature of this coal.

A Preliminary High-Pressure Thermogravimetric Study of Combustion Reactivity of a Collie Coal Char

2012 ◽  
pp. 121-125
Author(s):  
Yii Leng Chan ◽  
Zhezi Zhang ◽  
Mingming Zhu ◽  
Chao Luan ◽  
Changfu You ◽  
...  
Keyword(s):  
High Pressure ◽  
Coal Char ◽  
Thermogravimetric Study ◽  
Combustion Reactivity

Effect of Microstructures on Char Combustion Reactivity

2021 ◽  
pp. 147-157
Author(s):  
Jingyuan Li ◽  
Lele Feng ◽  
Yiqun Huang ◽  
Yang Zhang ◽  
Lyu Junfu ◽  
...  
Keyword(s):  
Char Combustion ◽  
Combustion Reactivity

Synergistic Interactions During Cocombustion of Lignite, Biomass, and Their Chars

2019 ◽  
Vol 141 (12) ◽  
Author(s):  
A. Caliskan Sarikaya ◽  
H. Haykiri Acma ◽  
S. Yaman
Keyword(s):  
Hybrid Poplar ◽  
Stability Index ◽  
Point Of View ◽  
Analysis Method ◽  
Ignition Point ◽  
Combustion Performance ◽  
Synergistic Interactions ◽  
Fuel Blends ◽  
Combustion Reactivity ◽  
Burning Stability

Woody biomasses such as ash tree (AT), hybrid poplar (HP), and rhododendron (RD) were subjected to torrefaction and carbonization at temperatures of 200 °C and 400 °C. Likewise, several lignite samples were carbonized at 750 °C. Various binary fuel blends such as raw lignite/raw biomass, raw lignite/biochar, lignitic char/raw biomass, and lignitic char/biochar were prepared where the fraction of biomass or biochar was 10 wt% in the blends. The cocombustion characteristics of these blends were investigated through a thermal analysis method from the synergetic point of view considering the fuel properties and the combustion performance. Some parameters relevant to the combustion reactivity such as ignition point, maximum rate, peak temperature, and burnout temperature were commented to figure out whether synergistic interaction or additive behavior governs the combustion characteristics of the blends. Also, the combustion performance indices such as ignition index (Ci), burnout index (Cb), comprehensive combustibility index (S), and the burning stability index (DW) were estimated. It was concluded that the combinations of the additive behavior and the synergistic interactions governs the cocombustion process, and the kind of the fuels and their thermal history determine the reactivity and the interactions during cocombustion.

scholarly journals An image processing system for char combustion reactivity characterisation

2019 ◽  
Vol 106 ◽  
pp. 60-70 ◽  
Author(s):  
Deisy Chaves ◽  
Emanuele Trucco ◽  
Juan Barraza ◽  
Maria Trujillo
Keyword(s):  
Image Processing ◽  
Processing System ◽  
Char Combustion ◽  
Image Processing System ◽  
Combustion Reactivity
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