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

doi:10.1016/j.cjche.2015.11.011

Chin.J.Chem.Eng. ›› 2015, Vol. 23 ›› Issue (12): 2029-2036.DOI: 10.1016/j.cjche.2015.11.011

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

Yongming Han, Zhiqiang Geng, Qunxiong Zhu, Xiaoyong Lin

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 100029, China

Received:2015-05-20 Revised:2015-07-17 Online:2016-01-19 Published:2015-12-28
Contact: Zhiqiang Geng
Supported by:
Supported by theNational Natural Science Foundation of China (61374166, 6153303), the Doctoral Fund of Ministry of Education of China (20120010110010), and the Fundamental Research Funds for the Central Universities (YS1404, JD1413, ZY1502).

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

Yongming Han, Zhiqiang Geng, Qunxiong Zhu, Xiaoyong Lin

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 100029, China

通讯作者: Zhiqiang Geng
基金资助:
Supported by theNational Natural Science Foundation of China (61374166, 6153303), the Doctoral Fund of Ministry of Education of China (20120010110010), and the Fundamental Research Funds for the Central Universities (YS1404, JD1413, ZY1502).

Abstract

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.

Key words: Partial correlation coefficient, Interpretative structural model, Energy consumption, Hierarchical analysis, Ethylene production, Chemical processes

摘要： 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.

关键词: Partial correlation coefficient, Interpretative structural model, Energy consumption, Hierarchical analysis, Ethylene production, Chemical processes

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.

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

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

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