Affiliation: | 1. McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas, USA Contribution: Data curation, Formal analysis, Investigation, Writing - original draft;2. McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas, USA Contribution: Supervision;3. McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas, USA |
Abstract: | Distillation remains a key technology for separating liquid mixtures. Its versatility comes with the disadvantage of high energy consumption. We previously used empirical arguments to introduce dynamic process intensification (DPI) as a strategy for improving the energy efficiency of binary distillation. In this article, we focus on ternary distillation; we begin by providing a rigorous basis for DPI, then formulate the problem of identifying the operating states for DPI as a nonlinear optimization problem. Via an extensive case study considering a hydrocarbon mixture, we demonstrate that reboiler energy use can be reduced by more than 2.3% relative to an equivalent column operating at steady state. We prove that this result is due to the fact that DPI aims to satisfy product flow and quality constraints on average in time, affording broader opportunities for optimizing column economics than steady-state operation, where constraints are met strictly at all times. |