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Advanced optimization strategies for integrated dynamic process operations
Computers & Chemical Engineering ( IF 4.3 ) Pub Date : 2017-10-20 , DOI: 10.1016/j.compchemeng.2017.10.016
Lorenz T. Biegler

Modern approaches for dynamic optimization trace their inception to Pontryagin's Maximum Principle 60 years ago. Since then the application of large-scale nonlinear programming strategies has been extended to deal with challenging real-world process optimization problems. This study discusses and demonstrates the effectiveness of dynamic optimization on three case studies on real-world chemical processes. In the first case, we consider the optimal design of runaway reactors, where simulation models may lead to unbounded profiles for many choices of design and operating conditions. As a result, optimization based on repeated simulations typically fails, and a simultaneous, equation-based approach must be applied. Second, we consider optimal operating policies for grade transitions in polymer processes. Modeled as an optimal control problem, we demonstrate how incorporation of product specification bands leads to multi-stage formulations that greatly improve process performance and significantly reduce off-grade product. Third, we consider an optimization strategy for the integration of scheduling and dynamic process operation for general continuous/batch processes. The method introduces a discrete time formulation for simultaneous optimization of scheduling and operating decisions. Finally, we provide a concise summary of directions and challenges for future extension of these optimization formulations and solution strategies.



中文翻译:

集成动态过程操作的高级优化策略

动态优化的现代方法可以追溯到60年前的Pontryagin的“最大原理”。从那时起,大规模非线性规划策略的应用已扩展到处理具有挑战性的现实世界中的过程优化问题。这项研究讨论并论证了动态优化在现实世界中化学过程的三个案例研究中的有效性。在第一种情况下,我们考虑了失控反应堆的最佳设计,在该模型中,仿真模型可能会导致许多设计和运行条件选择的轮廓不受限制。结果,基于重复模拟的优化通常会失败,因此必须采用基于等式的同时方法。其次,我们考虑了聚合物工艺中等级过渡的最佳操作策略。建模为最佳控制问题,我们证明了产品规格范围的引入如何导致多阶段配方的发展,从而极大地改善了工艺性能并显着减少了劣质产品。第三,我们考虑了用于一般连续/批生产过程的调度和动态过程操作的集成的优化策略。该方法引入了离散时间公式,用于同时优化计划和操作决策。最后,我们为这些优化公式和解决方案策略的未来扩展提供了方向和挑战的简明摘要。我们考虑了用于一般连续/批生产过程的调度和动态过程操作集成的优化策略。该方法引入了离散时间公式,用于同时优化计划和操作决策。最后,我们为这些优化公式和解决方案策略的未来扩展提供了方向和挑战的简明摘要。我们考虑了用于一般连续/批生产过程的调度和动态过程操作集成的优化策略。该方法引入了离散时间公式,用于同时优化计划和操作决策。最后,我们为这些优化公式和解决方案策略的未来扩展提供了方向和挑战的简明摘要。

更新日期:2017-10-20
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