Heat release model for the low temperature oxidation of heavy oils from experimental analyses and numerical simulations
Heat release model for the low temperature oxidation of heavy oils from experimental analyses and numerical simulations
复制标题
实验分析和数值模拟的重油低温氧化放热模型
DOI：
10.1021/acs.energyfuels.8b04506
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发表时间：
2019
期刊：
影响因子：
5.3
通讯作者：
Lin Shi
中科院分区：
文献类型：
--
作者：
Hang Jiang;Junyu Yang;Jia Huang;Weifeng Lv;Junshi Tang;Qianghui Xu;Yunchao Han;Lin Shi
重油低温氧化涉及许多复杂的反应机理，这些机理对火烧油层（ISC）点火和前缘传播的成功至关重要。本文采用实验和数值模拟相结合的方法研究了低温氧化物的放热特性。使用压力差示扫描量热仪（PDSC）实验分析来测量在50 ° C至350 °C的温度下不同加热速率和压力下的热释放。不同升温速率下的放热曲线与理论上的Arrhenius分析一致，表明用Arrhenius方程模拟LTO反应过程中的放热是可行的。压力对LTO热释放也有显著影响。结果表明，LTO的总放热量与压力呈正相关，但油耗率没有变化。采用数值模型模拟了PDSC实验，研究了LTO反应动力学，并基于经验Arrhenius反应模型计算了热释放速率。采用历史拟合法，得到了不同压力下不同反应级数的动力学参数，模拟了压力对放热的影响。反应模型和动力学参数成功地预测了LTO的放热速率，因此，这些参数是有价值的工具，为工程应用。
Low temperature oxidation (LTO) of heavy oils involves many complex reaction mechanisms that are important for the success of ignition and front propagation during in situ combustion (ISC). In this study, experiments and numerical simulations were combined to investigate the heat release characteristics of LTO. Pressure differential scanning calorimeter (PDSC) experimental analyses were used to measure the heat release for various heating rates and pressures under temperatures from 50 to 350 °C. The heat release curves for the various heating rates were consistent with a theoretical Arrhenius analysis, indicating the feasibility of simulating the heat release during the LTO reaction by an Arrhenius equation. The pressure also had a significant effect on the LTO heat release. The results show that the total amount of heat release from LTO is positively correlated with pressure but that the oil consumption rate did not change. A numerical model was used to simulate the PDSC experiments to study the LTO reaction kinetics based on an exothermal Arrhenius reaction model to calculate the heat release rates. The kinetic parameters were obtained using the history matching method with different reaction enthalpies at different pressures to model the effect of pressure on the heat release. The reaction model and kinetic parameters successfully predicted the LTO heat release rates; therefore, these parameters are valuable tools for engineering applications.