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机构地区:[1]工业控制技术国家重点实验室,浙江大学先进控制研究所,浙江杭州310027
出 处:《高校化学工程学报》2003年第4期418-424,共7页Journal of Chemical Engineering of Chinese Universities
基 金:国家杰出青年科学基金(NSFC: 60025308);"十五"科技攻关(2001BA204B01)资助项目。
摘 要:针对实际工业重整装置,提出了一种仅包含16个反应、17个集总组分的重整反应简化机理模型,用于重整过程监控和优化。利用一形式比四阶RK法更为简单的近似解析法对模型方程进行了数值求解,并采用差分BFGS优化算法以及某固定床半再生重整和连续重整工业装置的多套工业数据对模型中关键的动力学参数分别进行了估计,进而利用这两种工业装置在不同进料或操作条件下对模型进行了验证。结果表明,所建立的集总模型合理可靠,到达了工业应用的模拟精度要求。A kinetics-based mathematical model for catalytic reformer was developed for monitoring, planning and optimizing commercial catalytic reformers. The model mainly including reaction model and separation model can predict reaction temperature, concentration profiles, recycle gas composition and octane number of reformate resulting from different feedstocks or operating conditions. The lumping details of the feed with C1~C12 hydrocarbons and reaction scheme were given. A quasi-analytic numerical algorithm with simpler formulation than Runge-Kutta algorithm was used to solve the ordinary differential equations of the model. The reaction kinetic parameters were benchmarked with enough plant data and the differential variable metric optimization method (BFGS) was adopted to estimate these parameters. The model was validated by two kinds of catalytic reforming reformers with different sets of plant data respectively. Agreements between model predictions and plant observations of both reformers were presented.
关 键 词:催化重整 机理建模 计算机仿真 参数估计 数值算法
分 类 号:TQ018[化学工程] TP391.9[自动化与计算机技术—计算机应用技术]
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