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Data driven eco-efficiency evaluation and optimization in industrial production

Author

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  • Liu, Conghu
  • Gao, Mengdi
  • Zhu, Guang
  • Zhang, Cuixia
  • Zhang, Pan
  • Chen, Jianqing
  • Cai, Wei

Abstract

To improve the ecological efficiency (eco-efficiency) of industrial production and promote its sustainable development, we present a data-driven method for evaluating and optimizing the eco-efficiency of industrial production system. The data of industrial production system are collected and processed in a unified dimension from the perspective of emergy, then the eco-efficiency evaluation model of industrial production system is constructed to realize the quantitative evaluation, the correlation between various factors and eco-efficiency is analysed, and a date driven eco-efficiency optimization decision is built to improve eco-efficiency and production benefits in industrial production. In the application to an example in a manufacturing enterprise, the method identifies opportunity for reducing resource consumption by 8.3% and waste discharge by 6.7%, enhancing the eco-efficiency by 13.8% and production benefit by 8.1%. This paper provides theoretical and methodological support for the evaluation and optimization of eco-efficiency of industrial production system, and also provides theoretical basis for the sustainable development of industrial production.

Suggested Citation

  • Liu, Conghu & Gao, Mengdi & Zhu, Guang & Zhang, Cuixia & Zhang, Pan & Chen, Jianqing & Cai, Wei, 2021. "Data driven eco-efficiency evaluation and optimization in industrial production," Energy, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:energy:v:224:y:2021:i:c:s0360544221004199
    DOI: 10.1016/j.energy.2021.120170
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    References listed on IDEAS

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    Cited by:

    1. Zaijun Li & Xiang Zheng & Dongqi Sun, 2021. "The Influencing Effects of Industrial Eco-Efficiency on Carbon Emissions in the Yangtze River Delta," Energies, MDPI, vol. 14(23), pages 1-19, December.
    2. Quande Dong & Cui Wang & Shitong Peng & Ziting Wang & Conghu Liu, 2021. "A Many-Objective Optimization for an Eco-Efficient Flue Gas Desulfurization Process Using a Surrogate-Assisted Evolutionary Algorithm," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    3. Fan Liu & Shuling Zhou & Yaliu Yang & Conghu Liu, 2022. "Research on Industrial Ecological Efficiency Evaluation and Improvement Countermeasures Based on Data-Driven Evaluations from 30 Provinces and Cities in China," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    4. Xiaoxiao Si & Cuixia Zhang & Fan Liu, 2023. "Assessment and Suggestions on Sustainable Development of Regional Ecological Economy Based on Emergy Theory: A Case Study of Henan Province," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    5. Wu, Junnian & Li, Xue & Jin, Rong, 2022. "The response of the industrial system to the interrelationship approaching to carbon neutrality of carbon sources and sinks from carbon metabolism: Coal chemical case study," Energy, Elsevier, vol. 261(PB).
    6. Heping Ding & Yuxia Guo & Xue Wu & Cui Wang & Yu Zhang & Hongjun Liu & Yujia Liu & Aiyong Lin & Fagang Hu, 2022. "Data-Driven Resource Efficiency Evaluation and Improvement of the Logistics Industry in 30 Chinese Provinces and Cities," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    7. Cui Wang & Yingyan Zhang & Conghu Liu & Fagang Hu & Shuling Zhou & Juan Zhu, 2021. "Emergy-Based Assessment and Suggestions for Sustainable Development of Regional Ecological Economy: A Case Study of Anhui Province, China," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
    8. Aiyong Lin & Yujia Liu & Shuling Zhou & Yajie Zhang & Cui Wang & Heping Ding, 2023. "Data-Driven Analysis and Evaluation of Regional Resources and the Environmental Carrying Capacity," Sustainability, MDPI, vol. 15(10), pages 1-18, May.
    9. Xue Wu & Yaliu Yang & Conghu Liu & Guowei Xu & Yuxia Guo & Fan Liu & Yuan Wang, 2021. "Sustainability of Regional Agroecological Economic System Based on Emergy Theory: A Case Study of Anhui Province, China," Sustainability, MDPI, vol. 13(15), pages 1-21, July.

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