Identification and classification of aromatic hydrocarbons from fast pyrolysis of coal for the purpose of environment-pollution evaluation

DOI

10.2991/icmmct-17.2017.38How to use a DOI?

Keywords

Coal; Fast pyrolysis; Tar; Aromatic hydrocarbon; Environment toxicity

Abstract

Aromatic hydrocarbons are the main composition in coal tar from industrial coal processing process, which have long been recognized as the major environment pollutant. The biological toxicity of aromatic hydrocarbons are closely related to their structural configurations. In this work, detailed composition of aromatic species during fast pyrolysis of Shandong coal were identified and classified to evaluate their toxicities based on the specific structure features. In total, 83 kinds of aromatic hydrocarbons were identified and the most abundant aromatic hydrocarbons were toluene, p-xylene, 1-ethylidene-1H-Indene, and 1,2-dehydro-as-hydrindacene. Carbon number of aromatic hydrocarbons ranged from 6 for benzene to 16 for the alkyl-substituted phenanthrene and the content of C8 aromatic hydrocarbons was largest. The ring of aromatic hydrocarbons is distributed from 1 to 4 and their contents decrease gradually with increasing of ring number.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Bin Tian
AU  - Ying-yun Qiao
AU  - Jun-feng Fan
AU  - Peng-fei Li
AU  - Pei-jie Zong
AU  - Yuan Jiang
AU  - Wen Feng
AU  - Chao Liu
AU  - Sheng-jia Wang
AU  - Yuan-yu Tian
PY  - 2017/04
DA  - 2017/04
TI  - Identification and classification of aromatic hydrocarbons from fast pyrolysis of coal for the purpose of environment-pollution evaluation
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 192
EP  - 195
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.38
DO  - 10.2991/icmmct-17.2017.38
ID  - Tian2017/04
ER  -