A decision tree based decomposition method for oil refinery scheduling

doi:10.1016/j.cjche.2017.10.006

Chinese Journal of Chemical Engineering ›› 2018, Vol. 26 ›› Issue (8): 1605-1612.DOI: 10.1016/j.cjche.2017.10.006

• Selected Papers from the Chinese Process Systems Engineering Annual Meeting 2017 • 上一篇下一篇

A decision tree based decomposition method for oil refinery scheduling

Xiaoyong Gao^1,2, Dexian Huang², Yongheng Jiang², Tao Chen³

1 Institute for Ocean Engineering, China University of Petroleum, Beijing 102249, China;
2 Department of Automation, Tsinghua University, Beijing 100084, China;
3 Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, UK

收稿日期:2017-08-26 出版日期:2018-08-28 发布日期:2018-09-21
通讯作者: Dexian Huang,E-mail address:huangdx@tsinghua.edu.cn
基金资助:
Supported by the National Natural Science Foundation of China (21706282, 21276137, 61273039, 61673236), Science Foundation of China University of Petroleum, Beijing (No. 2462017YJRC028) and the National High-tech 863 Program of China (2013AA 040702).

A decision tree based decomposition method for oil refinery scheduling

Xiaoyong Gao^1,2, Dexian Huang², Yongheng Jiang², Tao Chen³

1 Institute for Ocean Engineering, China University of Petroleum, Beijing 102249, China;
2 Department of Automation, Tsinghua University, Beijing 100084, China;
3 Department of Chemical and Process Engineering, University of Surrey, Guildford GU2 7XH, UK

Received:2017-08-26 Online:2018-08-28 Published:2018-09-21
Contact: Dexian Huang,E-mail address:huangdx@tsinghua.edu.cn
Supported by:
Supported by the National Natural Science Foundation of China (21706282, 21276137, 61273039, 61673236), Science Foundation of China University of Petroleum, Beijing (No. 2462017YJRC028) and the National High-tech 863 Program of China (2013AA 040702).

摘要/Abstract

摘要： Refinery scheduling attracts increasing concerns in both academic and industrial communities in recent years. However, due to the complexity of refinery processes, little has been reported for success use in real world refineries. In academic studies, refinery scheduling is usually treated as an integrated, large-scale optimization problem, though such complex optimization problems are extremely difficult to solve. In this paper, we proposed a way to exploit the prior knowledge existing in refineries, and developed a decision making system to guide the scheduling process. For a real world fuel oil oriented refinery, ten adjusting process scales are predetermined. A C4.5 decision tree works based on the finished oil demand plan to classify the corresponding category (i.e. adjusting scale). Then, a specific sub-scheduling problem with respect to the determined adjusting scale is solved. The proposed strategy is demonstrated with a scheduling case originated from a real world refinery.

关键词: Refinery scheduling, Decision tree, C4.5, Decomposition method

Abstract: Refinery scheduling attracts increasing concerns in both academic and industrial communities in recent years. However, due to the complexity of refinery processes, little has been reported for success use in real world refineries. In academic studies, refinery scheduling is usually treated as an integrated, large-scale optimization problem, though such complex optimization problems are extremely difficult to solve. In this paper, we proposed a way to exploit the prior knowledge existing in refineries, and developed a decision making system to guide the scheduling process. For a real world fuel oil oriented refinery, ten adjusting process scales are predetermined. A C4.5 decision tree works based on the finished oil demand plan to classify the corresponding category (i.e. adjusting scale). Then, a specific sub-scheduling problem with respect to the determined adjusting scale is solved. The proposed strategy is demonstrated with a scheduling case originated from a real world refinery.

Key words: Refinery scheduling, Decision tree, C4.5, Decomposition method

Xiaoyong Gao, Dexian Huang, Yongheng Jiang, Tao Chen. A decision tree based decomposition method for oil refinery scheduling[J]. Chinese Journal of Chemical Engineering, 2018, 26(8): 1605-1612.

Xiaoyong Gao, Dexian Huang, Yongheng Jiang, Tao Chen. A decision tree based decomposition method for oil refinery scheduling[J]. Chin.J.Chem.Eng., 2018, 26(8): 1605-1612.

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A decision tree based decomposition method for oil refinery scheduling

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[1]	Lei Shi, Yongheng Jiang, Ling Wang, Dexian Huang. A continuous-time formulation for refinery production scheduling problems involving operational transitions in mode switching[J]. , 2016, 24(8): 1020-1031.
[2]	Lei Shi, Yongheng Jiang, Ling Wang, Dexian Huang. A novel two-stage Lagrangian decomposition approach for refinery production scheduling with operational transitions in mode switching[J]. Chinese Journal of Chemical Engineering, 2015, 23(11): 1793-1800.