SCI和EI收录∣中国化工学会会刊

›› 2017, Vol. 25 ›› Issue (6): 793-799.DOI: 10.1016/j.cjche.2016.10.023

• Process Systems Engineering and Process Safety • 上一篇    下一篇

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

Shixin Gong, Cheng Shao, Li Zhu   

  1. Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024, China
  • 收稿日期:2016-05-24 修回日期:2016-05-24 出版日期:2017-06-28 发布日期:2017-08-02
  • 通讯作者: Li Zhu,E-mail address:zhuli@dlut.edu.cn
  • 基金资助:
    Supported by the High-tech Research and Development Program of China (2014AA041802) and Fundamental Research Funds for the Central Universities (DUT15RC(3)007).

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

Shixin Gong, Cheng Shao, Li Zhu   

  1. Institute of Advanced Control Technology, Dalian University of Technology, Dalian 116024, China
  • Received:2016-05-24 Revised:2016-05-24 Online:2017-06-28 Published:2017-08-02
  • Supported by:
    Supported by the High-tech Research and Development Program of China (2014AA041802) and Fundamental Research Funds for the Central Universities (DUT15RC(3)007).

摘要: 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.

关键词: Energy efficiency evaluation, DEA, k-means, Factor Analysis Production, Working condition

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.

Key words: Energy efficiency evaluation, DEA, k-means, Factor Analysis Production, Working condition