Effect of functional groups on volatile evolution in coal pyrolysis process with in-situ pyrolysis photoionization time-of-flight mass spectrometry. (15th January 2020)

• Record Type: Journal Article
• Authors: Zhou, Yang; Li, Lu; Jin, Lijun; Zhu, Jialong; Li, Jiangang; Li, Yang; Fan, Hongjun; Hu, Haoquan
• Is Part Of: Fuel. Volume 260(2020)
• Publication Date: 2020-01-15
• Subjects: Coal pyrolysis -- Functional groups -- In-situ analysis -- Volatile evolution -- Py-PI-TOF MS; Fuel -- Periodicals; Coal -- Periodicals; Coal; Fuel; Periodicals; 662.6
• DOI: 10.1016/j.fuel.2019.116322
• Languages: English
• ISSNs: 0016-2361

Abstract

Highlights: Online detection of functional products generated from coal pyrolysis process via an in-situ py-PI-TOF MS. To explore the effect of functional groups on coal evolution experimentally and theoretically. To propose an influence mechanism for alkyl and oxygen-containing groups on bond dissociation. To correlate relationships between functional groups effect on evolution and coal properties. Abstract: To investigate the effect of functional groups in coal on volatiles evolution, eight coal samples with different ranks were pyrolyzed in a novel in-situ pyrolysis photoionization time-of-flight mass spectrometer (Py-PI-TOF MS). Soft ionization were adopted to enable the fragment-free detection of volatiles generated from initial pyrolysis products. Temperature-evolved profiles of main products are visible via scanning of the ion current of individual compound measured during the pyrolysis processes. The obtained mass spectra of volatiles from pyrolysis of eight coal samples reveal predominantly molecular ions with four categories: alkenes, benzenes, phenols and diphenols. Furthermore, the analysis of different coal samples demonstrates that both alkyl and oxygen-containing groups attached on the benzene rings can reduce the peak temperatures of main products' evolution, and the effect of oxygen-containing group is stronger than that of alkyl group. The difference of peak temperature with maximum evolution, which is used as an indicator to measure the effect of the functional groups, were correlated with carbon content and volatile content of coal samples. The influence degree of functional groups on evolution temperature was found to be negative correlated with the carbon content and positive correlated with the volatile content, respectively. Based on the experimental observations and theoretical calculations, the overall results allowed to reveal the influence of the functional groups on the volatile organic compounds during coal pyrolysis. Analogous to reported setups with online studies of coal pyrolysis, Py-PI-TOF MS may be a good option for monitoring the evolution characteristics and reaction pathways of coal pyrolysis process.