Abstract An improved kinetic model for the deoxygenation of fatty acids was developed and compared with previously developed models. The models were compared using data collected from the deoxygenation of oleic acid using a novel, extensively characterized aerogel-based catalyst and previously published data of the deoxygenation of stearic acid, resulting in an extensive analysis ranging from 275 °C to 400 °C. The novel model was able to predict the behavior of reactants, intermediates and products for all cases analyzed in this paper. Akaike and Bayesian information criterions were applied, concluding that the novel kinetic model was indeed the best model to predict the behavior of both our original data and a previously published dataset. Relevant data regarding reaction rates and selectivity for the novel catalyst was given, showing a clear practical use of the results presented in this paper for the design and optimization of deoxygenation reactors.

中文翻译：

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一种应用于多相脂肪酸脱氧的新型动力学模型

摘要 开发了一种改进的脂肪酸脱氧动力学模型，并与以前开发的模型进行了比较。使用新型、广泛表征的气凝胶基催化剂从油酸脱氧收集的数据和先前公布的硬脂酸脱氧数据对模型进行了比较，从而在 275 °C 到 400 °C 的范围内进行了广泛的分析。新模型能够预测本文分析的所有情况下的反应物、中间体和产物的行为。应用了 Akaike 和贝叶斯信息标准，得出的结论是，新的动力学模型确实是预测我们的原始数据和先前发布的数据集行为的最佳模型。给出了有关新型催化剂的反应速率和选择性的相关数据，