A Novel Scheduling Strategy for Crude Oil Blending

摆亮; 江永亨; 黄德先; 刘先广

doi:10.1016/S1004-9541(09)60129-4

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A Novel Scheduling Strategy for Crude Oil Blending

Updated：2026-01-06

- A Novel Scheduling Strategy for Crude Oil Blending
- Chinese Journal of Chemical Engineering Vol. 18, Issue 5, Pages: 777-786(2010)
- Affiliations：
  
  1. Institute of Process Control Engineering, Department of Automation, Tsinghua University,Beijing,China,100084
  2. TECHFLY Company,Beijing,China,100083
- Author bio：
- Funds：
- DOI：10.1016/S1004-9541(09)60129-4
  CLC：
- Published：2010
- Accepted：
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BAI Liang, JIANG Yongheng, HUANG Dexian, LIU Xianguang. A Novel Scheduling Strategy for Crude Oil Blending[J]. , 2010, 18(5): 777-786.
DOI：

BAI Liang, JIANG Yongheng, HUANG Dexian, LIU Xianguang. A Novel Scheduling Strategy for Crude Oil Blending[J]. , 2010, 18(5): 777-786. DOI： 10.1016/S1004-9541(09)60129-4.

摘要

Abstract

For those refineries which have to deal with different types of crude oil

blending is an attractive solution to obtain a quality feedstock. In this paper

a novel scheduling strategy is proposed for a practical crude oil blending process. The objective is to keep the property of feedstock

mainly described by the true boiling point (TBP) data

consistent and suitable. Firstly

the mathematical model is established. Then

a heuristically initialized hybrid iterative (HIHI) algorithm based on a two-level optimization structure

in which tabu search (TS) and differential evolution (DE) are used for upper-level and lower-level optimization

respectively

is proposed to get the model solution. Finally

the effectiveness and efficiency of the scheduling strategy is validated

via

real data from a certain refinery.

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