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Pyrolysis of Alkanes: A Computational Approach
Ekin Esme Baş1, Seda Karahan2, Ziya Köstereli2
1Faculty of Arts and Sciences, Department of Chemistry, Bogazici University, Bebek, 34342 Istanbul, Turkey.
Density functional theory (DFT) methods reveal the kinetic and thermodynamic details of short paraffin chain thermal cracking. This research provides a framework for predicting reaction rates in longer paraffin chains.
Area of Science:
- Computational Chemistry
- Chemical Kinetics
Background:
- Thermal cracking of paraffins is crucial for hydrocarbon processing.
- Understanding reaction mechanisms at high temperatures is essential for optimizing yields and product selectivity.
Purpose of the Study:
- To investigate the kinetic and thermodynamic aspects of thermal cracking in short unbranched alkanes using Density Functional Theory (DFT).
- To determine the most suitable DFT method for modeling these reactions by comparing with experimental data and CBS-QB3 calculations.
- To establish relationships between reaction enthalpy and activation energy for predicting kinetic parameters of longer paraffin chains.
Main Methods:
- Modeling thermal cracking reactions of short alkanes at 673 K via a free-radical mechanism.
- Employing various DFT functionals (B3LYP, M06-2X, PBE0, BMK, B3PW91) and basis sets (6-31G(d,p), 6-311+G(d,p)).
- Utilizing Evans-Polanyi (EP) relations to correlate reaction enthalpies and activation energies.
Main Results:
- Detailed thermodynamic and kinetic properties of initiation, hydrogen atom transfer (HAT), and β-scission reactions were analyzed.
- A linear relationship was established between reaction enthalpies and activation energies using EP relations.
- Pre-exponential factors for short-chain paraffins were calculated and categorized by radicalic products.
Conclusions:
- DFT methods accurately model thermal cracking of short paraffins, providing insights into high-temperature reaction pathways.
- The established Evans-Polanyi relations offer a predictive tool for kinetic parameters of longer paraffin chains.
- The findings facilitate the prediction of rate constants for long paraffin chains, aiding in process optimization.
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