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Volume 18
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10.3390/ijerph182412980
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Article

A Comparison of Combustion Properties in Biomass–Coal Blends Using Characteristic and Kinetic Analyses

by
Yalin Wang
1,2,*,
Beibei Yan
1,3,
Yu Wang
2,
Jiahao Zhang
4,
Xiaozhong Chen
1 and
Rob J. M. Bastiaans
2
1
School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
2
Department of Mechanical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands
3
Key Laboratory of Efficient Utilization of Low and Medium Grade Energy, Ministry of Education, School of Mechanical Engineering, Tianjin University, Tianjin 300072, China
4
Bahen Centre for Information Technology, Department of Computer Science, University of Toronto, 40 St. George Street, Toronto, ON M5S 2E4, Canada
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(24), 12980; https://doi.org/10.3390/ijerph182412980
Submission received: 8 November 2021 / Revised: 4 December 2021 / Accepted: 6 December 2021 / Published: 9 December 2021
(This article belongs to the Special Issue Air Pollution Control, Solid Waste Treatment, and Environmental Catalysis)
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Abstract

This paper presents comparative research on the combustion of coal, wheat, corn straw (CS), beet residues after extracting sugar (BR), and their blends, coal–corn straw blends (CCSBs), coal–wheat blends (CWBs), and coal–beet residue blends (CBRBs), using thermogravimetric (TG) analysis under 10, 20, 30, 40 and 50 °C/min. The test results indicate that CS and wheat show better combustion properties than BR, which are recommended to be used in biomass combustion. Under the heating rate of 20 °C/min, the coal has the longest thermal reaction time when compared with 10 and 30 °C/min. Adding coal to the biomass can improve the burnout level of biomass materials (BM), reduce the burning speed, and make the reaction more thorough. The authors employed the Flynn–Wall–Ozawa (FWO) method and the Kissinger–Akahira–Sunose (KAS) method to calculate kinetics parameters. It was proven that overall, the FWO method is better than the KAS method for coal, BM, and coal–biomass blends (CBBs), as it provides higher correlations in this study. It is shown that adding coal to wheat and BR decreases the activation energy and makes conversion more stable under particular α. The authors selected a wider range of biomass raw materials, made more kinds of CBB, and conducted more studies on different heating rates. This research can provide useful insights into how to choose agricultural residuals and how to use them.
Keywords: biomass–coal blends; combustion; thermogravimetric analysis (TGA); combustion properties; kinetic analysis; activation energy biomass–coal blends; combustion; thermogravimetric analysis (TGA); combustion properties; kinetic analysis; activation energy

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MDPI and ACS Style

Wang, Y.; Yan, B.; Wang, Y.; Zhang, J.; Chen, X.; Bastiaans, R.J.M. A Comparison of Combustion Properties in Biomass–Coal Blends Using Characteristic and Kinetic Analyses. Int. J. Environ. Res. Public Health 2021, 18, 12980. https://doi.org/10.3390/ijerph182412980

AMA Style

Wang Y, Yan B, Wang Y, Zhang J, Chen X, Bastiaans RJM. A Comparison of Combustion Properties in Biomass–Coal Blends Using Characteristic and Kinetic Analyses. International Journal of Environmental Research and Public Health. 2021; 18(24):12980. https://doi.org/10.3390/ijerph182412980

Chicago/Turabian Style

Wang, Yalin, Beibei Yan, Yu Wang, Jiahao Zhang, Xiaozhong Chen, and Rob J. M. Bastiaans. 2021. "A Comparison of Combustion Properties in Biomass–Coal Blends Using Characteristic and Kinetic Analyses" International Journal of Environmental Research and Public Health 18, no. 24: 12980. https://doi.org/10.3390/ijerph182412980

APA Style

Wang, Y., Yan, B., Wang, Y., Zhang, J., Chen, X., & Bastiaans, R. J. M. (2021). A Comparison of Combustion Properties in Biomass–Coal Blends Using Characteristic and Kinetic Analyses. International Journal of Environmental Research and Public Health, 18(24), 12980. https://doi.org/10.3390/ijerph182412980

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