•  
  •  
 

Coal Geology & Exploration

Abstract

Objective Tar-rich coal resources, abundant in China, can be converted into energy products (e.g., chemicals and gas/liquid fuels) through pyrolysis, thus alleviating the country’s dependence on oil and gas imports. A thorough understanding of the product evolution and reaction mechanisms of the pyrolysis of tar-rich coals is crucial to research into the clean and efficient conversion processes of coals. Methods Based on the reactive force field molecular dynamics (ReaxFF MD), this study simulated the pyrolysis process of tar-rich coals (long-flame coals) and explored the impacts of the H2O atmosphere on the distribution of pyrolytic products, along with the mechanism behind the impacts. Results and Conclusions The results indicate that tar-rich coals (long flame coals) are pyrolyzed at temperatures ranging from 1200 K to 2800 K, involving two stages: pyrolysis (1200 K to 2000 K) and polycondensation (2000 K to 2800 K). In the pyrolysis stage, coal molecules decompose rapidly as the temperature rises, accompanied by gradually decreasing coke products and constantly increasing tar and gas products. The polycondensation stage witnesses the polycondensation among tar products, which generates coke and releases low-molecular-weight gas, leading to decreased tar products but increased coke and gas products. Therefore, more gas products can be obtained by increasing the pyrolysis temperature and prolonging the pyrolysis time, while the key to improving the tar yield is to inhibit the polycondensation. The introduction of the H2O atmosphere into the pyrolysis during high-temperature polycondensation demonstrates that H2O can effectively accelerate the cracking of coal molecules. Specifically, with an increase in the proportion of H2O, the coal pyrolysis system exhibits decreasing C―C bonds but increasing C―H and C―O bonds. As revealed by the analysis of the interactions between coals and H2O, the free radicals generated during coal pyrolysis react with H2O, promoting the decomposition of H2O molecules. In turn, the H• and OH• generated from H2O decomposition further expedite coal cracking and react with the products of coal pyrolysis to produce more tar and gas. This study, contributing to a deeper understanding of the pyrolysis process of tar-rich coals, can serve as a guide for the clean and efficient utilization of coal resources.

Keywords

tar-rich coal, pyrolysis, reaction mechanism, H2O atmosphere, reactive force field molecular dynamics

DOI

10.12363/issn.1001-1986.24.01.0076

Reference

[1] 王可鑫,张鑫,纪元元,等. 煤化工产业园区挥发性有机物污染特征及其对大气复合污染的贡献[J]. 环境科学研究,2023,36(2):294−304.

WANG Kexin,ZHANG Xin,JI Yuanyuan,et al. Characterization of ambient VOCs in a coal chemical industry park and their contribution to complex air pollution[J]. Research of Environmental Sciences,2023,36(2):294−304.

[2] 马双忱,樊帅军,武凯,等. 双碳战略背景下燃煤电厂CCUS技术发展:挑战与应对[J]. 洁净煤技术,2022,28(6):1−13.

MA Shuangchen,FAN Shuaijun,WU Kai,et al. CCUS technology development of coal-fired power plant under the background of Dual Carbon Strategy:Challenges and countermeasures[J]. Clean Coal Technology,2022,28(6):1−13.

[3] 仲蕊. 多措并举,推进煤炭清洁高效利用[N]. 中国能源报,2023-04-10(010).

[4] 师庆民,赵奔,王双明,等. 三塘湖盆地侏罗系富油煤特征及沉积环境控制[J]. 石油学报,2024,45(5):787−803.

SHI Qingmin,ZHAO Ben,WANG Shuangming,et al. Characteristics and sedimentary environment control of Jurassic tar-rich coal in Santanghu Basin[J]. Acta Petrolei Sinica,2024,45(5):787−803.

[5] 马丽,拓宝生. 陕西富油煤资源量居全国之首 榆林可“再造一个大庆油田”[J]. 陕西煤炭,2020,39(1):220.

MA Li, TUO Baosheng. Shaanxi has the largest amount of oil–rich coal resources in the country. Yulin can “recreate a Daqing oilfield”[J]. Shaanxi Coal,2020,39(1):220.

[6] 王双明,王虹,任世华,等. 西部地区富油煤开发利用潜力分析和技术体系构想[J]. 中国工程科学,2022,24(3):49−57.

WANG Shuangming,WANG Hong,REN Shihua,et al. Potential analysis and technical conception of exploitation and utilization of tar-rich coal in western China[J]. Strategic Study of CAE,2022,24(3):49−57.

[7] SOLOMON P R,FLETCHER T H,PUGMIRE R J. Progress in coal pyrolysis[J]. Fuel,1993,72(5):587−597.

[8] GAO Mingjie,LI Xiaoxia,GUO Li. Pyrolysis simulations of Fugu coal by large-scale ReaxFF molecular dynamics[J]. Fuel Processing Technology,2018,178:197−205.

[9] HONG Dikun,GUO Xin. Molecular dynamics simulations of Zhundong coal pyrolysis using reactive force field[J]. Fuel,2017,210:58−66.

[10] SOLOMON P R,SERIO M A,SUUBERG E M. Coal pyrolysis:Experiments,kinetic rates and mechanisms[J]. Progress in Energy and Combustion Science,1992,18(2):133−220.

[11] 刘方刚,靳立军,杨静,等. 双电离源飞行时间质谱用于峰峰煤原位热解挥发分的表征[J]. 燃料化学学报,2021,49(5):573−581.

LIU Fanggang,JIN Lijun,YANG Jing,et al. In-situ characterization of volatiles from pyrolysis of Fengfeng coal by a double ionization time-of-flight mass spectrometer[J]. Journal of Fuel Chemistry and Technology,2021,49(5):573−581.

[12] FENG Dongdong,SHANG Qi,DONG Heming,et al. Catalytic mechanism of Na on coal pyrolysis-derived carbon black formation:Experiment and DFT simulation[J]. Fuel Processing Technology,2021,224:107011.

[13] VAN DUIN A C T,DASGUPTA S,LORANT F,et al. ReaxFF:A reactive force field for hydrocarbons[J]. Journal of Physical Chemistry A,2001,105(41):9396−9409.

[14] 张秀霞,吕晓雪,肖美华,等. 典型烟煤热解机理的反应动力学模拟[J]. 燃料化学学报,2020,48(9):1035−1046.

ZHANG Xiuxia,LÜ Xiaoxue,XIAO Meihua,et al. Molecular reaction dynamics simulation of pyrolysis mechanism of typical bituminous coal via ReaxFF[J]. Journal of Fuel Chemistry and Technology,2020,48(9):1035−1046.

[15] BHOI S,BANERJEE T,MOHANTY K. Molecular dynamic simulation of spontaneous combustion and pyrolysis of brown coal using ReaxFF[J]. Fuel,2014,136:326−333.

[16] ZHENG Mo,WANG Ze,LI Xiaoxia,et al. Initial reaction mechanisms of cellulose pyrolysis revealed by ReaxFF molecular dynamics[J]. Fuel,2016,177:130−141.

[17] SALMON E,VAN DUIN A C T,LORANT F,et al. Early maturation processes in coal. Part 2:Reactive dynamics simulations using the ReaxFF reactive force field on Morwell Brown coal structures[J]. Organic Geochemistry,2009,40(12):1195−1209.

[18] ZHENG Mo,LI Xiaoxia,LIU Jian,et al. Pyrolysis of Liulin coal simulated by GPU-based ReaxFF MD with cheminformatics analysis[J]. Energy & Fuels,2014,28(1):522−534.

[19] HONG Dikun,LI Ping,SI Ting,et al. ReaxFF simulations of the synergistic effect mechanisms during co-pyrolysis of coal and polyethylene/polystyrene[J]. Energy,2021,218:119553.

[20] LIANG Yinghua,WANG Feng,ZHANG Hang,et al. A ReaxFF molecular dynamics study on the mechanism of organic sulfur transformation in the hydropyrolysis process of lignite[J]. Fuel Processing Technology,2016,147:32−40.

[21] MATHEWS J P,CHAFFEE A L. The molecular representations of coal:A review[J]. Fuel,2012,96:1−14.

[22] GIVEN P H,MARZEC A,BARTON W A,et al. The concept of a mobile or molecular phase within the macromolecular network of coals:A debate[J]. Fuel,1986,65(2):155−163.

[23] JURKIEWICZ A. Spatial system of the Wiser model of coal structure according to the second moment of the nuclear magnetic resonance line[J]. Journal of Applied Physics,1987,62(9):3892−3897.

[24] SHINN J H. From coal to single-stage and two-stage products:A reactive model of coal structure[J]. Fuel,1984,63(9):1187−1196.

[25] WOLFRUM E A. Correlations between petrographical properties,chemical structure,and technological behavior of Rhenish brown coal[M]//ACS symposium series. Washington,D. C. :American Chemical Society,1984:15–37.

[26] LI Guixiang,ZHENG Fangjuan,HUANG Qingfu,et al. Molecular insight into pyrolysis processes via reactive force field molecular dynamics:A state-of-the-art review[J]. Journal of Analytical and Applied Pyrolysis,2022,166:105620.

[27] ZHENG Mo,LI Xiaoxia,BAI Jin,et al. Chemical structure effects on coal pyrolyzates and reactions by using large-scale reactive molecular dynamics[J]. Fuel,2022,327:125089.

[28] HUANG Zibo,ZHOU Wenjing,WEI Jinjia. Study on the molecular structure model of tar-rich coal and its pyrolysis process[J]. Journal of Molecular Structure,2023,1286:135613.

[29] VAN DUIN A C T,GODDQRD W A,ISLAM M M,et al. ReaxFF 202*,SCM,Theoretical Chemistry,Vrije Universiteit,Amsterdam,The Netherlands,http://www.scm.com.

[30] WEISMILLER M R,VAN DUIN A C T,LEE J,et al. ReaxFF reactive force field development and applications for molecular dynamics simulations of ammonia borane dehydrogenation and combustion[J]. The Journal of Physical Chemistry. A,2010,114(17):5485−5492.

[31] CASTRO-MARCANO F,KAMAT A M,RUSSO M F,et al. Combustion of an Illinois No.6 coal char simulated using an atomistic char representation and the ReaxFF reactive force field[J]. Combustion and Flame,2012,159(3):1272−1285.

[32] MA Liyang,ZHANG Lan,WANG Deming,et al. Effect of oxygen-supply on the reburning reactivity of pyrolyzed residual from sub-bituminous coal:A reactive force field molecular dynamics simulation[J]. Energy,2023,283:129151.

[33] LEI Zhao,CHENG Zhanwang,LING Qiang,et al. Investigating the trigger mechanism of Shenfu bituminous coal pyrolysis[J]. Fuel,2022,313:122995.

[34] FLETCHER T H,KERSTEIN A R,PUGMIRE R J,et al. Chemical percolation model for devolatilization. 3. Direct use of carbon-13 NMR data to predict effects of coal type[J]. Energy & Fuels,1992,6(4):414−431.

[35] ZHENG Mo,LI Xiaoxia,LIU Jian,et al. Initial chemical reaction simulation of coal pyrolysis via ReaxFF molecular dynamics[J]. Energy & Fuels,2013,27(6):2942−2951.

[36] WANG Kai,ZHANG Hai,WANG Xin,et al. Study on pyrolysis mechanism of coal in hydrogen-rich atmosphere based on reactive molecular dynamics simulation[J]. International Journal of Hydrogen Energy,2024,49:861−872.

[37] ZHENG Mo,PAN Yang,WANG Ze,et al. Capturing the dynamic profiles of products in Hailaer brown coal pyrolysis with reactive molecular simulations and experiments[J]. Fuel,2020,268:117290.

[38] ZHANG Tingting,LI Xiaoxia,QIAO Xianjie,et al. Initial mechanisms for an overall behavior of lignin pyrolysis through large-scale ReaxFF molecular dynamics simulations[J]. Energy & Fuels,2016,30(4):3140−3150.

[39] LEI Zhao,LIANG Qijun,LING Qiang,et al. Investigating the reaction mechanism of light tar for Shenfu bituminous coal pyrolysis[J]. Energy,2023,263:125731.

[40] 张蕾,韩智坤,舒浩,等. 陕北富油煤低温热解提油基础特性[J]. 煤炭工程,2022,54(9):124−128.

ZHANG Lei,HAN Zhikun,SHU Hao,et al. Basic characteristics of tar extraction in low temperature pyrolysis of tar-rich coal from northen Shaanxi[J]. Coal Engineering,2022,54(9):124−128.

[41] 耿济世,王双明,孙强,等. 富油煤热解特性及其孔裂隙结构演化规律[J]. 煤田地质与勘探:2024,52(6):1−8.

GENG Jishi,WANG Shuangming,SUN Qiang,et al. Study on pyrolysis characteristics and pore-fracture evolutions of tar-rich coal[J]. Coal Geology & Exploration,2024,52(6):1−8.

[42] XU Fang,LIU Hui,WANG Qing,et al. ReaxFF-based molecular dynamics simulation of the initial pyrolysis mechanism of lignite[J]. Fuel Processing Technology,2019,195:106147.

[43] 黄淄博,周文静,魏进家. 基于ReaxFF MD模拟的低阶煤热解产物演化规律及反应机理[J]. 化工进展,2024,43(5):2309−2419.

HUANG Zibo,ZHOU Wenjing,WEI Jinjia. The product evolution and reaction mechanism of low-rank coal pyrolysis based on ReaxFF MD simulation[J]. Chemical Industry and Engineering Progress,2024,43(5):2309−2419.

[44] HONG Dikun,GUO Yajing,WANG Chunbo,et al. Coal/NH3 interactions during co-pyrolysis and their effects on the char reactivity for NO-reduction:A ReaxFF MD study[J]. Fuel,2023,346:128415.

[45] 齐健淄,姚金刚,陈冠益,等. 煤和生物质共气化过程反应协同行为的研究进展[J]. 燃料化学学报(中英文),2023,51(8):1060−1072.

QI Jianzi,YAO Jingang,CHEN Guanyi,et al. Investigation progress on the synergy between coal and biomass during co-gasification[J]. Journal of Fuel Chemistry and Technology,2023,51(8):1060−1072.

[46] 田硕,刘琳琳,都健. 基于不同气化剂的BGL炉煤气化的模拟和优化[J]. 华东理工大学学报(自然科学版),2018,44(4):518−523.

TIAN Shuo,LIU Linlin,DU Jian. Simulation and optimization of BGL coal gasification based on different gasification agents[J]. Journal of East China University of Science and Technology (Natural Science Edition),2018,44(4):518−523.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.