Title | Dynamic Process Intensification via Data-Driven Dynamic Optimization: Concept and Application to Ternary Distillation |
Publication Type | Journal Article |
Year of Publication | 2021 |
Authors | Yan, L, Deneke, TL, Heljanko, K, Harjunkoski, I, Edgar, TE, Baldea, M |
Journal | Industrial & Engineering Chemistry Research |
Volume | 60 |
Pagination | 1265-10275 |
Date Published | jul |
Keywords | 5.4 |
Abstract | Process intensification is a design philosophy aimed at making chemical processes safer and more efficient. Its implementation often results in significant modifications to the design and structure of a process, with several conventional unit operations occurring in the same physical device. Traditionally, process intensification has focused on steady-state operation. In our previous works, we introduced dynamic process intensification (DPI) as a new intensification paradigm based on operational changes for conventional or intensified units. DPI is predicated on switching operation between two auxiliary steady states selected via a steady-state optimization calculation, which ensures that the system generates, on average and over time, the same products as in nominal steady-state operation, but with favorable economics. This paper extends the DPI concept and introduces a novel dynamic optimization-based DPI (Do-DPI) strategy that involves imposing a true cyclic operation rather than switching between two discrete states. We discuss its implementation using surrogate dynamic models learned via system identification. An extensive case study concerning a ternary distillation column separating a canonical hydrocarbon mixture shows that Do-DPI can reduce energy use by more than 4% relative to steady-state operation, with no significant deviations in product quality and production rate. |
URL | https://pubs.acs.org/doi/10.1021/acs.iecr.1c01415 |
DOI | 10.1021/acs.iecr.1c01415 |