AUTHOR=Xiong Yingjian , Shi Xuhua , Ma Yongjian , Chen Yifan TITLE=Optimization design of crude oil distillation unit using bi-level surrogate model JOURNAL=Frontiers in Control Engineering VOLUME=4 YEAR=2023 URL=https://www.frontiersin.org/journals/control-engineering/articles/10.3389/fcteg.2023.1162318 DOI=10.3389/fcteg.2023.1162318 ISSN=2673-6268 ABSTRACT=

Crude Oil Distillation Unit (CDU) is one of the most important separation installations in the petroleum refinery industries. In this work, a Bi-level Surrogate column model Aided Constrained Optimization Design (Bi-SACOD) is proposed for time-consuming objectives and constraints in the evolutionary optimization design of CDUs. The main components of Bi-SACOD include bi-level surrogate model construction (Bi-SMC), bi-level model management (Bi-MM), and particle swarm optimization (PSO) mixed-integer constrained evolutionary (PSO-MICE) search. Bi-SMC implements surrogate column model construction and feasible domain identification. Bi-MM combines surrogate column models with rigorous CDU simulations to perform model management, and PSO-MICE implements optimum search works. The optimization results of the CDUs indicate that Bi-SACOD outperforms the single-level surrogate column model approaches, and are more consistent with the rigorous CDU model optimization approach, whereas the evaluation numbers of the time-consuming rigorous models are significantly reduced.