Pyrolysis of bioethanol and biobutanol: A thermodynamic and kinetic study

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Christian Tshikala Mukeba, Mireille Kabuyi Bilonda, Haddy Mbuyi Katshiatshia, Jules Tshishimbi Muya
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引用次数: 0

Abstract

Context

Bioethanol and biobutanol are renewable oxygenated fuels derived from biomass, commonly blended with gasoline for use in gasoline engines. These alcohol-based fuels have high oxygen content, promoting more complete combustion and reducing carbon dioxide emissions compared to petroleum fuels. However, during combustion, oxygenated radicals can interact and lead to the formation of formaldehyde, a highly toxic compound. This study delves into the thermodynamic and kinetic study of biofuel pyrolysis using quantum chemical methods. Our results identify C–C bond as the weakest in the initiation step, with bond dissociation enthalpy around 86 kcal/mol. Notably, ethanol exhibits higher bond dissociation energies than butanol. While the initiation step predominantly involves C–C bond breaking, the propagation step reveals a competition between H abstraction and C–C bond cleavage. Analyzing the computed rate constants and Gibbs free energies for radical reactions in the propagation steps indicates the likelihood formation of acetaldehyde, formaldehydes, methane, and ethylene. These products indeed present significant risks to both human health and the environment. This emphasizes the importance of carefully controlling macroscopic thermodynamic variables, such as temperature and pressure, during the pyrolysis of alcohol. Proper regulation of these factors is crucial in minimizing the formation of harmful aldehydes and ensuring a safer and more sustainable process.

Methods

The reaction mechanisms of thermal decomposition are analyzed using UωB97XD/6–311 + G(3 df,2p), G4MP2, and G4 computational methods. The latter offers highly accurate enthalpies of formation, with a deviation from experiment values approximately 1 kcal/mol, though it is computationally expensive compared to DFT. To evaluate the diradical character of certain open-shell intermediate species, CASSCF and MP2-CASSCF methods, which effectively account for static correlation effects, are employed with the cc-pVDZ basis set. Thermodynamic and kinetic analyses are carried out using both ab initio and semi-empirical approaches through Gaussian 09 and OpenSMOKE + + 0.21.0 programs.

生物乙醇和生物丁醇的热解:热力学和动力学研究
背景生物乙醇和生物丁醇是从生物质中提取的可再生含氧燃料,通常与汽油混合后用于汽油发动机。与石油燃料相比,这些醇基燃料含氧量高,可促进更完全的燃烧,减少二氧化碳排放。然而,在燃烧过程中,含氧自由基会相互作用,形成甲醛这种剧毒化合物。本研究利用量子化学方法深入研究了生物燃料热解的热力学和动力学。我们的研究结果表明,C-C 键是起始步骤中最弱的键,键解离焓约为 86 kcal/mol。值得注意的是,乙醇的键解离能高于丁醇。起始步骤主要涉及 C-C 键断裂,而传播步骤则显示出 H 抽取和 C-C 键断裂之间的竞争。对传播步骤中自由基反应的计算速率常数和吉布斯自由能进行分析表明,可能会形成乙醛、甲醛、甲烷和乙烯。这些产物确实会对人类健康和环境造成严重危害。这就强调了在酒精热解过程中仔细控制温度和压力等宏观热力学变量的重要性。方法使用 UωB97XD/6-311 + G(3df,2p)、G4MP2 和 G4 计算方法分析了热分解的反应机理。后者提供了高度精确的形成焓,与实验值的偏差约为 1 kcal/mol,但与 DFT 相比计算成本较高。为了评估某些开壳中间体物种的二价特性,采用了 CASSCF 和 MP2-CASSCF 方法,这些方法有效地考虑了静态相关效应,并使用了 cc-pVDZ 基集。通过高斯 09 和 OpenSMOKE + + 0.21.0 程序,采用自证和半经验方法进行了热力学和动力学分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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