Energy consumption hierarchical analysis based on interpretative structural model for ethylene production

Yongming Han; Zhiqiang Geng; Qunxiong Zhu; Xiaoyong Lin

doi:10.1016/j.cjche.2015.11.011

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Energy consumption hierarchical analysis based on interpretative structural model for ethylene production

第25届中国过程控制会议专栏 | Updated：2026-01-06

- Energy consumption hierarchical analysis based on interpretative structural model for ethylene production
- Energy consumption hierarchical analysis based on interpretative structural model for ethylene production
- 中国化学工程学报（英文版） 2015年23卷第12期页码：2029-2036
- Affiliations：
  
  College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China Engineering Research Center of Intelligent PSE, Ministry of Education in China,Beijing,China,100029
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2015.11.011
  中图分类号：
- 纸质出版：2015
- Accepted：
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Yongming Han, Zhiqiang Geng, Qunxiong Zhu, 等. Energy consumption hierarchical analysis based on interpretative structural model for ethylene production[J]. 中国化学工程学报（英文版）, 2015,23(12):2029-2036.

Yongming Han, Zhiqiang Geng, Qunxiong Zhu, Xiaoyong Lin. Energy consumption hierarchical analysis based on interpretative structural model for ethylene production[J]. Chin.J.Chem.Eng., 2015, 23(12): 2029-2036.
Yongming Han, Zhiqiang Geng, Qunxiong Zhu, 等. Energy consumption hierarchical analysis based on interpretative structural model for ethylene production[J]. 中国化学工程学报（英文版）, 2015,23(12):2029-2036. DOI： 10.1016/j.cjche.2015.11.011.

Yongming Han, Zhiqiang Geng, Qunxiong Zhu, Xiaoyong Lin. Energy consumption hierarchical analysis based on interpretative structural model for ethylene production[J]. Chin.J.Chem.Eng., 2015, 23(12): 2029-2036. DOI： 10.1016/j.cjche.2015.11.011.

摘要

Abstract

Interpretative structuralmodel (ISM) can transformamultivariate probleminto several sub-variable problems to analyze a complex industrial structure in a more efficient way by building a multi-level hierarchical structure model. To build an ISM of a production system

the partial correlation coefficient method is proposed to obtain the adjacency matrix

which can be transformed to ISM. According to estimation of correlation coefficient

the result can give actual variable correlations and eliminate effects of intermediate variables. Furthermore

this paper proposes an effective approach using ISMto analyze themain factors and basic mechanisms that affect the energy consumption in an ethylene production system. The case study shows that the proposed energy consumption analysis method is valid and efficient in improvement of energy efficiency in ethylene production.

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