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Realizing low-carbon development of industrial parks in China: Model construction and its application

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  • Li, Ke
  • Yang, Rui
  • He, Xuanfang

Abstract

As the main energy consumption and emission area, carbon emission reduction for industrial parks is a pivotal target for China. In this study, a multi-objective optimization model was established to quantitatively develop low-carbon development strategies for industrial parks that simultaneously considers land productivity, energy structure and efficiency, carbon emissions, and industrial structure optimization. A Monte Carlo method was adopted to investigate the uncertainties associated with emission-reduction technologies and economic development. A study on an industrial park showed that with the implementation of a series of fossil energy-saving measures, the percentage of clean energy in the park is projected to reach 62.6–72.2 %, while the percentage of output from energy-intensive enterprises relative to the total output of the industrial park decreases from 3.78 % in the baseline year to 1.74–3.29 %, and carbon emissions are projected to decrease by 69–85.4 % relative to the benchmarking scenario. This implies that the model developed in this study is effective and can serve as a roadmap for designing industrial parks to realize low-carbon development.

Suggested Citation

  • Li, Ke & Yang, Rui & He, Xuanfang, 2024. "Realizing low-carbon development of industrial parks in China: Model construction and its application," Energy, Elsevier, vol. 301(C).
    • Handle: RePEc:eee:energy:v:301:y:2024:i:c:s0360544224014373
    DOI: 10.1016/j.energy.2024.131664
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    3. Zhao, Yingying & Wang, Shanshan & Gao, Gengyu & Wu, Yuhang & Zhang, Ruiqin, 2025. "Integrated optimization model to explore the green transformation of energy-intensive industrial parks from environmental-economic perspectives," Energy, Elsevier, vol. 325(C).
    4. Chen Fang & Zhiyu Wang, 2025. "Study on Spatial and Temporal Evolution of Carbon Stock in East Coastal Area of Zhejiang Based on InVEST and GIS Modeling," Land, MDPI, vol. 14(5), pages 1-20, May.

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