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Integrated optimization modelling framework for low-carbon and green regional transitions through resource-based industrial symbiosis

Author

Listed:
  • Xin Xie

    (Tsinghua University)

  • Hang Fu

    (Tsinghua University
    Nanchang University)

  • Qisheng Zhu

    (Tsinghua University)

  • Shanying Hu

    (Tsinghua University)

Abstract

The development and utilization of bulk resources provide the basic material needs for industrial systems. However, most current resource utilization patterns are unsustainable, with low efficiencies and high carbon emissions. Here, we report a quantitative tool for resource-based industries to facilitate sustainable and low-carbon transitions within the regional economy. To evaluate the effectiveness of this tool, the saline Qinghai Lake region was chosen as a case study. After optimizing the industrial structure, the benefits of economic output, resource efficiency, energy consumption, solid waste reduction, and carbon emission reduction can be obtained. The scenario analyses exhibit disparities in different transition paths, where the carbon mitigation, economic output, and resource efficiency that benefit from optimal development paths are significantly better than those of the traditional path, indicating the urgency of adopting cleaner technology and industrial symbiosis for regional industries.

Suggested Citation

  • Xin Xie & Hang Fu & Qisheng Zhu & Shanying Hu, 2024. "Integrated optimization modelling framework for low-carbon and green regional transitions through resource-based industrial symbiosis," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48249-6
    DOI: 10.1038/s41467-024-48249-6
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    References listed on IDEAS

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    1. Marian R. Chertow, 2007. "“Uncovering” Industrial Symbiosis," Journal of Industrial Ecology, Yale University, vol. 11(1), pages 11-30, January.
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