Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production

Shixin Gong; Cheng Shao; Li Zhu

doi:10.1016/j.cjche.2016.10.023

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Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production

Process Systems Engineering and Process Safety | Updated：2026-01-06

- Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production
- Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production
- 中国化学工程学报（英文版） 2017年第6期页码：793-799
- Affiliations：
  
  Institute of Advanced Control Technology, Dalian University of Technology,Dalian,China,116024
- Author bio：
- Funds：
  
  Supported by the High-tech Research and Development Program of China (2014AA041802) and Fundamental Research Funds for the Central Universities (DUT15RC(3)007).
- DOI：10.1016/j.cjche.2016.10.023
  中图分类号：
- 纸质出版：2017
- Accepted：
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Shixin Gong, Cheng Shao, Li Zhu. Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production[J]. 中国化学工程学报（英文版）, 2017,(6):793-799.

Shixin Gong, Cheng Shao, Li Zhu. Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production[J]. Chinese Journal of Chemical Engineering, 2017, (6): 793-799.
Shixin Gong, Cheng Shao, Li Zhu. Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production[J]. 中国化学工程学报（英文版）, 2017,(6):793-799. DOI： 10.1016/j.cjche.2016.10.023.

Shixin Gong, Cheng Shao, Li Zhu. Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production[J]. Chinese Journal of Chemical Engineering, 2017, (6): 793-799. DOI： 10.1016/j.cjche.2016.10.023.

摘要

Abstract

Energy efficiency evaluation plays an important role in energy efficiency improvement of the ethylene production. It is observed from the actual production data that the ethylene production energy efficiency often varies with the complex production working conditions. In the favored methods for energy efficiency evaluation

DEA models may show poor resolution when directly used to evaluate the efficiency values. Therefore

a new energy efficiency evaluation method for ethylene production is proposed based on DEA integrated factor analysis with respect to operation classification. Three key factors

including raw material composition

cracking depth and load rate

are taken into account in determining the production working conditions by means of k-means algorithm. Based on the multi-working conditions mode the energy efficiency evaluation of the ethylene production is made by using DEA model

where the most related energy data are screened by factor analysis. Furthermore

the supporting decision of energy efficiency improvement is provided to the operators. The accuracy and effectiveness of the proposed method are illustrated by applying in a practical ethylene production

which gives more effective energy efficiency evaluation in the complicated working conditions of ethylene production with declined dimension of input indicators.

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