反应精馏动态过程强化的机制研究

精馏过程强化技术是化工领域的研究热点之一，其中动态过程强化采用非稳态操作模式，在不增加设备投资的前提下可改善系统时均性能，为解决精馏过程存在的能耗高、效率低的问题提供了新思路。动态过程强化在反应和常规精馏过程中的成功应用受到了关注，但其在反应精馏过程中的实施机制尚不明确。本项目拟采用理论分析、过程模拟和实验验证相结合的方法对动态过程强化在反应精馏过程中的实施机制进行深入研究。利用内嵌同伦方程的稳态模型求解反应精馏过程多稳态解集，为动态过程研究提供数据和模型支撑；通过分岔分析方法探究反应精馏过程的动态特性与参数临界值，确定系统操作区域和信号特征；基于双层优化策略的多目标遗传算法寻找最佳循环稳态，实现稳态经济与动态控制的有效权衡；采用系统辨识技术开发非线性模型预测控制系统，并通过实验验证实施方案的可行性。本项目的成功可促进动态过程强化技术与复杂精馏过程的交叉融合，具有重要的理论和实际应用价值。

Process intensification (PI) technology of distillation is one of the research topics in the chemical industry. The dynamic process intensification (DPI), which adopts the special pattern of non-steady-state operation, can improve the time-average performance of distillation without increasing the equipment investment. It provides a new idea to solve the problem of high energy consumption and low efficiency in the distillation process. The successful application of DPI in both reactions and conventional distillation processes has received attention, but its implementation mechanism in the reactive distillation process is still unclear. This work intends to further study the implementation mechanism of DPI in the reactive distillation process by combining theoretical analysis, process simulation and experimental verification. The steady-state model embedded with homotopy equation is used to solve the multiple solutions of the reactive distillation process, providing data and model support for dynamic process research. Bifurcation analysis is used to explore the dynamic characteristics and the critical values of the parameters of the reactive distillation process to determine the operating area and signal characteristics of the system. Multi-objective genetic algorithm based on bi-level optimization strategy is developed to find the optimal cyclic steady-state, which helps to achieve an effective trade-off between steady-state economy and dynamic controllability. The model recognition technology is used to establish a nonlinear model predictive control system, and the feasibility of the implementation scheme is evaluated through experiments. The success of this work can promote the cross-fusion of DPI technology and complex distillation processes, which has important theoretical and practical application value.