论文部分内容阅读
针对催裂化生产中,为节能降耗和提高生产能力将再生器从完全再生转换为常规再生后,重要操作参数的在线估计更为困难这一问题,联合利用再生器机理分析动态模型和外置CO焚烧炉热量平衡,采用基于机理分析的在线实时工艺计算技术和动态模型观测技术相结合的方式,实现了催裂化装置再生器不可测变量的动态软测量。通过内外校正迭代,得到了符合精度的出口烟气成分。对于复杂经验公式,采用智能优化算法进行参数寻优,避免陷入局部极小,得到符合现场工况的可行公式。适当假设条件并选择关键变量,建立动态模型,保证了整个软测量的精度。本方案为该重要生产过程的安全生产和节能降耗提供了帮助,在实际生产装置上已得到成功应用。
In the catalytic cracking production, the problem of online estimation of important operational parameters after the regenerator is switched from complete regeneration to regular regeneration for saving energy, reducing consumption and increasing production capacity, is used to analyze the dynamic model and external CO incinerator thermal balance, a real-time process based on mechanistic analysis technology and dynamic model observation technology are combined to realize the dynamic soft measurement of the un-measurable variable of the FCCU regenerator. Through the internal and external calibration iterations, the flue gas composition of the outlet is obtained. For complex empirical formula, intelligent optimization algorithm for parameter optimization, to avoid falling into local minimum, to be feasible formula to meet the field conditions. Appropriate assumptions and selection of key variables to establish a dynamic model to ensure the accuracy of the entire soft-sensing. The program for the important production process of safety and energy saving has provided help in the actual production plant has been successfully applied.