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Carbon peaking strategies for industrial parks: Model development and applications in China

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  • Lyu, Yizheng
  • Gao, Hanbo
  • Yan, Kun
  • Liu, Yingjie
  • Tian, Jinping
  • Chen, Lyujun
  • Wan, Mei

Abstract

Industrial carbon emission reduction is an important target for most countries. China pledges to achieve carbon dioxide peaking and neutrality before 2030 and 2060 respectively where industrial parks agglomerate most of the manufacturing industries and contribute much to the total CO2 emission; thus, it is of great significance to explore appropriate CO2 peaking strategies for the parks. We develop a land-industry-carbon integrated model that jointly projects land availability, land productivity, industrial structure, CO2 emissions, and carbon productivity (the ratio of gross industrial output value to CO2 emission) of industrial parks to quantitatively elucidate the CO2 peaking strategies. This study applies the model to four typical medium and large-sized Chinese industrial manufacturing parks. We analyze the characteristics of energy consumptions and CO2 emissions and reveal the parks have CO2 reduction potential ranging from 52% to 73% driven by carbon productivity improvement and industrial structure adjustment. Two parks could peak CO2 emissions before 2025 and realize the absolute decoupling of economic development from CO2 emissions during 2020–2030. Their carbon productivities will be 1.54 and 1.61 times in 2025 and both 2.78 times in 2030 compared with those in 2020. Another two parks tend to step from relative decoupling during 2020–2025 to absolute decoupling later, and their CO2 emissions will peak before 2030 with 2.08- and 3.70-times carbon productivities as much as those in 2020. Based on the model applications, two synergistic carbon peaking pathways are proposed for Chinese industrial parks, including (1) reallocating CO2 caps among industries considering land and carbon productivities, (2) facilitating the carbon productivity improvement for the stock industries and setting thresholds of carbon productivity for the forthcoming incremental industries. Customized strategies are also developed for the four parks. The model can provide both a pragmatic paradigm for industrial carbon peaking and policy support for global industrial parks.

Suggested Citation

  • Lyu, Yizheng & Gao, Hanbo & Yan, Kun & Liu, Yingjie & Tian, Jinping & Chen, Lyujun & Wan, Mei, 2022. "Carbon peaking strategies for industrial parks: Model development and applications in China," Applied Energy, Elsevier, vol. 322(C).
    • Handle: RePEc:eee:appene:v:322:y:2022:i:c:s0306261922007735
    DOI: 10.1016/j.apenergy.2022.119442
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    References listed on IDEAS

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    2. Zhu Li & Jianhe Ding & Tianqi Tao & Shulian Wang & Kewu Pi & Wen Xiong, 2024. "Novel Evaluation Method for Cleaner Production Audit in Industrial Parks: Case of a Park in Central China," Sustainability, MDPI, vol. 16(6), pages 1-18, March.
    3. Zhang, Shulei & Jia, Runda & Pan, Hengxin & Cao, Yankai, 2023. "A safe reinforcement learning-based charging strategy for electric vehicles in residential microgrid," Applied Energy, Elsevier, vol. 348(C).
    4. Yingwen Ji & Zhiying Shao & Ruifang Wang, 2024. "Does Industrial Symbiosis Improve Carbon Emission Efficiency? Evidence from Chinese National Demonstration Eco-Industrial Parks," Sustainability, MDPI, vol. 16(2), pages 1-22, January.
    5. 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).
    6. Xu, Jiuping & Tian, Yalou & Wang, Fengjuan & Yang, Guocan & Zhao, Chuandang, 2024. "Resilience-economy-environment equilibrium based configuration interaction approach towards distributed energy system in energy intensive industry parks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    7. Xin Zhou & Xin Meng & Zhenyu Li, 2024. "ANN-LSTM-A Water Consumption Prediction Based on Attention Mechanism Enhancement," Energies, MDPI, vol. 17(5), pages 1-16, February.
    8. Hou, Hui & Ge, Xiangdi & Yan, Yulin & Lu, Yanchao & Zhang, Ji & Dong, Zhao Yang, 2024. "An integrated energy system “green-carbon” offset mechanism and optimization method with Stackelberg game," Energy, Elsevier, vol. 294(C).
    9. Xingyun Yan & Lingyu Wang & Mingzhu Fang & Jie Hu, 2022. "How Can Industrial Parks Achieve Carbon Neutrality? Literature Review and Research Prospect Based on the CiteSpace Knowledge Map," Sustainability, MDPI, vol. 15(1), pages 1-29, December.

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