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油页岩化学结构CPD模型的改进 被引量:3

Improvement of the Chemical Percolation for Devolatilization Model Based on Chemical Structure of Oil Shale
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摘要 基于综合热分析仪和傅里叶红外联用技术(TGFTIR),通过引入轻质气体组分官能团模型,改进油页岩化学结构的化学渗透脱挥发分(CPD)模型,实现其对油页岩热解中轻质气体组分析出过程的精确预测。通过TG-FTIR对甘肃窑街油页岩的热解特性进行研究,利用非线性最小二乘法求解轻质气体各组分的动力学参数,预测出其在加热速率为20℃/min的条件下的轻质气体各组分的析出过程。用CPD模型与改进后CPD模型模拟出20℃/min窑街油页岩的热解过程,对比其实际热解过程分析模型的可行性与合理性,再用后验差检验法分析结果的误差。结果表明:油页岩的脱挥发分过程主要分为3个阶段,300-600℃为主要热解阶段,3个阶段的失重率约为5%、16%、6%;各轻质气体析出的活化能E分布在188~249k J/mol之间,而指前因子A在109~1013s-1之间;改进后CPD模型的预测值与实验值相对误差较小,契合度较高,说明改进后CPD模型能够较精确对油页岩热解过程进行预测与模拟。 Based on the thermogravimetric-Fourier transform infrared spectroscopy(TG-FTIR), the chemical percolation for devolatilization(CPD) model of the chemical structure of oil shale was improved, and the accurate prediction of the oil shale lightweight gas composition was achieved with the introduction of the model of light gas composition functional groups. This article studied the pyrolysis kinetics of Yaojie oil shale by TG-FTIR, realized the prediction of the separation process of lightweight gas components under the conditions of 20℃/min heating rate, by solving the kinetic parameters of lightweight gas compositions using the nonlinear least squares algorithm. Simulated the pyrolysis process of 20℃/min Yaojie oil shale with the CPD model and the improved CPD model, analyzed the error of the simulation result using the posterior-variance-test, compared with the feasibility and the rationality of the analysis model of the practical pyrolysis process. The results show that: the process of oil shale devolatilization was mainly divided into three stages, among which the 300 to 600 ℃ ℃ stage was the main pyrolysis stage, and the weightlessness rate of three stages was about 5%, 16%, 6% respectively; the activation energy E which the lightweight gas separated out distributed between 188 and 249 k J/mol, while the pre-exponential factor A distributed between 109 and 1013s-1; The relative error between the predicted values of the improved CPD model and the experimental values was small and the integrating degree was high, the results show that the improved CPD model could forecast and simulate the pyrolysis process of oil shale precisely.
出处 《中国电机工程学报》 EI CSCD 北大核心 2017年第2期621-627,共7页 Proceedings of the CSEE
基金 国家自然科学基金项目(51276034) 长江学者和创新团队发展计划项目(IRT13052)~~
关键词 油页岩 热解 化学渗透脱挥发分 动力学参数 TG-FTIR oil shale pyrolysis the chemical percolation for devolatilization(CPD) kinetic parameter TG-FTIR
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