Unveiling the complexity of non-oxidative coupling of methane: A simplified kinetics approach

被引:4
作者
Gebreyohannes, Tsegay Gebrekidan [1 ,2 ]
Lee, Sung Woo [2 ]
Han, Seung Ju [2 ]
Kim, Yong Tae [1 ,2 ]
Kim, Seok Ki [3 ,4 ]
机构
[1] Univ Sci & Technol UST, Adv Mat & Chem Engn, Daejeon 34114, South Korea
[2] Korea Res Inst Chem Technol KRICT, Gas & Carbon Convergent Res Ctr C1, Daejeon 34114, South Korea
[3] Ajou Univ, Dept Energy Syst Res, Suwon 16499, South Korea
[4] Ajou Univ, Dept Chem Engn, Suwon 16499, South Korea
基金
新加坡国家研究基金会;
关键词
Reaction mechanism generator; Mechanism reduction; Non-oxidative methane conversion; Reaction network; Aromatic coke; DIRECTED RELATION GRAPH; N-HEPTANE; MECHANISM; CONVERSION; REDUCTION; COMBUSTION;
D O I
10.1016/j.cej.2023.144216
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study presents the generation and optimization of a detailed mechanism for the non-oxidative coupling of methane (NOCM), consisting of 1,112 species and 106,877 gas-phase reactions using Reaction Mechanism Generator. A mechanism reduction, performed in the Ansys Workbench, focused on four target products and employed various reduction methods, yielding an optimal skeletal mechanism of 178 species and 9,695 gasphase reactions. Methane conversion and species concentration were evaluated using Chemkin-pro software, accounting for six independent variables, with temperature and pressure exhibiting the most significant impact. We observed that the formation rate of light hydrocarbons is higher at the initial position of the reaction, whereas aromatic hydrocarbons form more readily as reactor length increases and temperatures rise. Therefore, tailored reactor size and reaction conditions could improve the yield of C2 products under NOCM conditions. Further, a smaller reactor size at high temperatures and low pressure may optimize the formation of light hydrocarbons. Through sensitivity analyses, we identified critical reactions for product formation and aromatic coke precursors, thereby providing insights into gas-phase non-oxidative methane conversion. Further optimization studies are needed to investigate parameter interactions, aiming for optimal conversion with higher yields of target species and minimal aromatic coke precursors. These findings can inform effective reactor design and optimization strategies.
引用
收藏
页数:11
相关论文
共 32 条
[21]   Modelling of the catalytic initiation of methane coupling under non-oxidative conditions [J].
Postma, R. S. ;
Mendes, P. S. F. ;
Pirro, L. ;
Banerjee, A. ;
Thybaut, J. W. ;
Lefferts, L. .
CHEMICAL ENGINEERING JOURNAL, 2023, 454
[22]   Workbench for the Reduction of Detailed Chemical Kinetic Mechanisms Based on Directed Relation Graph and Its Deduced Methods: Methodology and n-Cetane as an Example [J].
Qu, Yue ;
Yu, Liang ;
Xu, Leilei ;
Mao, Yebing ;
Lu, Xingcai .
ENERGY & FUELS, 2018, 32 (06) :7169-7178
[23]   Selective electrochemical oxidative coupling of methane mediated by Sr2Fe1.5Mo0.5O6-δ and its chemical stability [J].
Ramaiyan, Kannan P. ;
Denoyer, Luke H. ;
Benavidez, Angelica ;
Garzon, Fernando H. .
COMMUNICATIONS CHEMISTRY, 2021, 4 (01)
[24]   Direct Conversion of Methane to Value-Added Chemicals over Heterogeneous Catalysts: Challenges and Prospects [J].
Schwach, Pierre ;
Pan, Xiulian ;
Bao, Xinhe .
CHEMICAL REVIEWS, 2017, 117 (13) :8497-8520
[25]   Automatic Chemistry Mechanism Reduction of Hydrocarbon Fuels for HCCI Engines Based on DRGEP and PCA Methods with Error Control [J].
Shi, Yu ;
Ge, Hai-Wen ;
Brakora, Jessica L. ;
Reitz, Rolf D. .
ENERGY & FUELS, 2010, 24 (03) :1646-1654
[26]   Non-oxidative Methane Coupling over Silica versus Silica-Supported Iron(II) Single Sites [J].
Sot, Petr ;
Newton, Mark A. ;
Baabe, Dirk ;
Walter, Marc D. ;
van Bavel, Alexander P. ;
Horton, Andrew D. ;
Coperet, Christophe ;
van Bokhoven, Jeroen A. .
CHEMISTRY-A EUROPEAN JOURNAL, 2020, 26 (36) :8012-8016
[27]   Skeletal mechanism reduction through species-targeted sensitivity analysis [J].
Stagni, A. ;
Frassoldati, A. ;
Cuoci, A. ;
Faravelli, T. ;
Ranzi, E. .
COMBUSTION AND FLAME, 2016, 163 :382-393
[28]   Machine learning in chemical reaction space [J].
Stocker, Sina ;
Csanyi, Gabor ;
Reuter, Karsten ;
Margraf, Johannes T. .
NATURE COMMUNICATIONS, 2020, 11 (01)
[29]   Ethylene production by direct conversion of methane over isolated single active centers [J].
Toraman, Hilal Ezgi ;
Alexopoulos, Konstantinos ;
Oh, Su Cheun ;
Cheng, Sichao ;
Liu, Dongxia ;
Vlachos, Dionisios G. .
CHEMICAL ENGINEERING JOURNAL, 2021, 420
[30]   ESTIMATION OF HEATS OF FORMATION OF ORGANIC COMPOUNDS [J].
VERMA, KK ;
DORAISWA.LK .
INDUSTRIAL & ENGINEERING CHEMISTRY FUNDAMENTALS, 1965, 4 (04) :389-&