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Research Article

Response of Macroscopic Coal Oxidation and Pyrolysis Parameters to Different Extractants

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Received 30 Jan 2024, Accepted 22 Mar 2024, Published online: 05 Apr 2024
 

ABSTRACT

The active structure of coal molecules is one of the key factors affecting the characteristics of coal spontaneous combustion (CSC). By actively stripping or reducing the key active structure of coal molecules, and then studying the influence of different structures on the oxidation characteristics of coal, it is helpful to accurately and efficiently inhibit CSC. Herein, using coal samples from Caojiatan Mine in Shaanxi Province, China, the CSC characteristics of 10 coal groups treated with different solvents and the response of the macroscopic coal oxidation and pyrolysis parameters to each extractant were investigated. The extractant type considerably affected CSC, and the oxidization of coal was most responsive to biomass extraction agents, which had the best weakening effect on CSC. The order of CSC characteristics of extracted coal from strong to weak is AE> YM> CYC> AOT> CYH> EG> MT> TP> THF> CYC + AOT + AE> EG + TP. In general, all extraction reagents in each group have a certain weakening effect on the CSC activity of coal samples. The extraction of aromatic hydrocarbon structures can effectively delay the oxidation of coal. The study provides new insights for the development of CSC mitigation technology and have important practical significance for active prevention and control of CSC risks.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Credit authorship contribution statement

Yin Liu: Supervision, Investigation, Funding acquisition.

Jun Guo: Writing – original draft, Conceptualization, Methodology, Software, Formal analysis.

Yunfei Wu: Conceptualization, Writing – original draft.

Changming Chen: Data handing, Formal analysis.

Xuezhao Zheng: Conceptualization, Data handing.

Dailin Li: Data handing.

Yan Jin: Data handing, Methodology.

Additional information

Funding

The work was supported by the National Natural Science Foundation of China [52304251 and 52174198]; Shaanxi Qin Chuangyuan “Scientist + Engineer” Team Construction Project [2022KXJ-166]; Shaanxi Province Postdoctoral Science Foundation [2023BSHEDZZ286].

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