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Energy analysis and resources optimization of complex chemical processes: Evidence based on novel DEA cross-model

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  • Han, Yongming
  • Liu, Shuang
  • Geng, Zhiqiang
  • Gu, Hengchang
  • Qu, Yixin

Abstract

Improving production efficiency and optimizing resources can accelerate the sustained and stable development of complex chemical processes. This paper presents novel energy analysis and resource optimization model based on data envelopment analysis cross-model integrated interpretative structural model and analytic hierarchy process to effectively simplify input indicators. The interpretative structural model can divide production data with many uncertain dimensions into some sub-elements with obvious hierarchical relationships. Then the sub-elements in the same layer are merged into a major element by the analytic hierarchy process method for further simplifying input indicators of the improved DEACM. At last, the proposed method is used to build the energy analysis and resource optimization model for PTA and ethylene production systems in complex chemical processes. In our experiments, the difference in efficiency values obtained by the proposed model is more significant and accurate. In addition, it can optimize production efficiency and guide ineffective production processes. The electrical conductivity of the purified terephthalic acid systems can reduce by 0.47%. And the ethylene production of the ethylene production systems can increase by 3.93%, and the carbon emissions of the ethylene production system can reduce by 25,297 tons approximately.

Suggested Citation

  • Han, Yongming & Liu, Shuang & Geng, Zhiqiang & Gu, Hengchang & Qu, Yixin, 2021. "Energy analysis and resources optimization of complex chemical processes: Evidence based on novel DEA cross-model," Energy, Elsevier, vol. 218(C).
    • Handle: RePEc:eee:energy:v:218:y:2021:i:c:s0360544220326153
    DOI: 10.1016/j.energy.2020.119508
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    1. Han, Yongming & Wu, Hao & Geng, Zhiqiang & Zhu, Qunxiong & Gu, Xiangbai & Yu, Bin, 2020. "Review: Energy efficiency evaluation of complex petrochemical industries," Energy, Elsevier, vol. 203(C).
    2. Geng, Zhiqiang & Zeng, Rongfu & Han, Yongming & Zhong, Yanhua & Fu, Hua, 2019. "Energy efficiency evaluation and energy saving based on DEA integrated affinity propagation clustering: Case study of complex petrochemical industries," Energy, Elsevier, vol. 179(C), pages 863-875.
    3. Geng, ZhiQiang & Qin, Lin & Han, YongMing & Zhu, QunXiong, 2017. "Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP," Energy, Elsevier, vol. 122(C), pages 350-362.
    4. Rácz, Viktor J. & Vestergaard, Niels, 2016. "Productivity and efficiency measurement of the Danish centralized biogas power sector," Renewable Energy, Elsevier, vol. 92(C), pages 397-404.
    5. Xin-gang, Zhao & Zhen, Wei, 2019. "The technical efficiency of China's wind power list enterprises: An estimation based on DEA method and micro-data," Renewable Energy, Elsevier, vol. 133(C), pages 470-479.
    6. Raut, Rakesh D. & Narkhede, Balkrishna & Gardas, Bhaskar B., 2017. "To identify the critical success factors of sustainable supply chain management practices in the context of oil and gas industries: ISM approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 33-47.
    7. Geng, Zhiqiang & Zhang, Yanhui & Li, Chengfei & Han, Yongming & Cui, Yunfei & Yu, Bin, 2020. "Energy optimization and prediction modeling of petrochemical industries: An improved convolutional neural network based on cross-feature," Energy, Elsevier, vol. 194(C).
    8. Si, Binghui & Tian, Zhichao & Jin, Xing & Zhou, Xin & Tang, Peng & Shi, Xing, 2016. "Performance indices and evaluation of algorithms in building energy efficient design optimization," Energy, Elsevier, vol. 114(C), pages 100-112.
    9. Xi Yang & Xiaoqian Xi & Shan Guo & Wanqi Lin & Xiangzhao Feng, 2018. "Carbon Mitigation Pathway Evaluation and Environmental Benefit Analysis of Mitigation Technologies in China’s Petrochemical and Chemical Industry," Energies, MDPI, vol. 11(12), pages 1-25, November.
    10. Cayir Ervural, Beyzanur & Evren, Ramazan & Delen, Dursun, 2018. "A multi-objective decision-making approach for sustainable energy investment planning," Renewable Energy, Elsevier, vol. 126(C), pages 387-402.
    11. Çolak, Murat & Kaya, İhsan, 2017. "Prioritization of renewable energy alternatives by using an integrated fuzzy MCDM model: A real case application for Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 840-853.
    12. Luthra, Sunil & Garg, Dixit & Haleem, Abid, 2015. "An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective," Resources Policy, Elsevier, vol. 46(P1), pages 37-50.
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