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Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties by Chen, Qingda; Ding, Jinliang; Yang, Shengxiang; Chai, Tianyou is a Engineering article available to read on EtoBox.

What is Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties about?

This brief studies the challenging operational optimization problem of a distillation unit (DU) under varying feedstock properties (e.g., density and carbon content). This problem, in which changes in the feedstock properties are incorporated, aims to quickly obtain the operating variables that control the operating condition of the DU. To solve this problem, we first model this operational optimization problem considering the ever-changing feedstock properties and practical technological constraints. Then, we propose an efficient soft-sensing strategy to rapidly measure the feedstock properties. Finally, motivated by the challenges caused by the varying feedstock properties, product yield, and tray temperature constraints, we propose an optimization algorithm with global search and self-repair capabilities to optimize the operating variables of the DU. The proposed algorithm integrates the optimization time and survival information of each individual into the proposed mutation strategy to improve its global search capability in the irregular feasible region of the operating variables. Based on the ranking and survival information of each individual, the adaptive strategies of the

Who reads Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties?

Author

Chen, Qingda; Ding, Jinliang; Yang, Shengxiang; Chai, Tianyou

Publisher

IEEE; Institute of Electrical and Electronics Engineers; Institute of Electrical and Electronics Engineers (IEEE) (ISSN 1063-6536)

Published

2020

Language

EN

Field

Engineering (Physical Sciences)