Optimization of a crude distillation unit using a combination of wavelet neural network and line-up competition algorithm

Bin Shi; Xu Yang; Liexiang Yan

doi:10.1016/j.cjche.2017.03.035

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Optimization of a crude distillation unit using a combination of wavelet neural network and line-up competition algorithm

Article | Updated：2026-01-06

- Optimization of a crude distillation unit using a combination of wavelet neural network and line-up competition algorithm
- Optimization of a crude distillation unit using a combination of wavelet neural network and line-up competition algorithm
- 中国化学工程学报（英文版） 2017年25卷第8期页码：1013-1021
- Affiliations：
  
  Department of Chemical Engineering, Wuhan University of Technology,Wuhan,China,430070
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2017.03.035
  中图分类号：
- 纸质出版：2017
- Accepted：
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Bin Shi, Xu Yang, Liexiang Yan. Optimization of a crude distillation unit using a combination of wavelet neural network and line-up competition algorithm[J]. 中国化学工程学报（英文版）, 2017,25(8):1013-1021.

Bin Shi, Xu Yang, Liexiang Yan. Optimization of a crude distillation unit using a combination of wavelet neural network and line-up competition algorithm[J]. , 2017, 25(8): 1013-1021.
Bin Shi, Xu Yang, Liexiang Yan. Optimization of a crude distillation unit using a combination of wavelet neural network and line-up competition algorithm[J]. 中国化学工程学报（英文版）, 2017,25(8):1013-1021. DOI： 10.1016/j.cjche.2017.03.035.

Bin Shi, Xu Yang, Liexiang Yan. Optimization of a crude distillation unit using a combination of wavelet neural network and line-up competition algorithm[J]. , 2017, 25(8): 1013-1021. DOI： 10.1016/j.cjche.2017.03.035.

摘要

Abstract

The modeling and optimization of an industrial-scale crude distillation unit (CDU) are addressed. The main specifications and base conditions of CDU are taken from a crude oil refinery in Wuhan

China. For modeling of a complicated CDU

an improved wavelet neural network (WNN) is presented to model the complicated CDU

in which novel parametric updating laws are developed to precisely capture the characteristics of CDU. To address CDU in an economically optimal manner

an economic optimization algorithm under prescribed constraints is presented. By using a combination of WNN-based optimization model and line-up competition algorithm (LCA)

the superior performance of the proposed approach is verified. Compared with the base operating condition

it is validated that the increments of products including kerosene and diesel are up to 20% at least by increasing less than 5% duties of intermediate coolers such as second pump-around (PA2) and third pump-around (PA3).

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