Abstract:

As a highly efficient and energy-saving distillation technology, dividing wall column (DWC) has attracted extensive attention due to its superior performance in chemical separation processes. The research progress on the optimal design and dynamic control of DWC is reviewed. The applications of iterative algorithms, metaheuristic algorithms, and machine learning-based optimization algorithms in optimizing the operating parameters of DWC are analyzed. Furthermore, the development of control structures for DWC is discussed, ranging from three-point control structures, four-point control structures, temperature inferential control structures, to more advanced intelligent control strategies, which have progressively enhanced the dynamic control performance of DWC. In particular, the application of model predictive control (MPC) strategy for controlling DWC is emphasized. Finally, this work highlights the current challenges in research and provides an outlook for future development, aiming to further promote the industrialization of DWC technology.

Key words: distillation, dividing wall column, optimal design, dynamic control, model predictive control

摘要：

隔板精馏塔作为一种高效节能的精馏技术，因其在化工分离过程中的优越性能，得到了广泛关注。综述了隔板塔在优化设计和动态控制方面的研究进展，分析列举了迭代法、元启发式算法和基于机器学习的优化设计算法在隔板塔操作参数优化过程中的应用，介绍了隔板塔控制结构的发展历程，从三点控制结构到四点控制结构、温度推断控制结构以及更加复杂和先进的智能控制策略，逐步改善了隔板塔的动态控制性能，重点介绍了模型预测控制策略在隔板塔控制中的应用。最后，指出隔板塔当前研究存在的问题并对未来发展给出展望，旨在进一步促进隔板塔的工业化进程。

关键词: 精馏, 隔板精馏塔, 优化设计, 动态控制, 模型预测控制