Unraveling economic-environmental coupling in China's petrochemical industry towards carbon peaking

• A FLIP model is developed to decarbonize the petrochemical industry. • The model differentiates flexible industries from lock-in infrastructure. • Structure upgrading and efficiency improvement should be coordinated. • Decoupling of economic growth and carbon emission is gained via model optimization. The petrochemical industry is a (key pillar) of chemical production and has relatively stable product demand in a long term, but it faces great decarbonization challenges due to the high energy consumption and complex industrial structure. To tackle this, a flow-land-infrastructure-petrochemical (FLIP) multi-factor model is developed with integration of material and energy flow analysis and decoupling assessment, targeting industrial carbon peaking via industrial structure upgrading and production efficiency improvement of four-digit level petrochemical sub-sectors. A nationally leading petrochemical industrial park was then selected to validate the model's effectiveness and robustness. Through the model optimization, the park could achieve 19 % and 30 % of CO 2 e emission reductions in 2025 and 2030 respectively, compared with emissions in the scenario without intervention. The overall carbon productivity could rise by 89 % with a decoupling index of -0.15 between economic growth and carbon emissions during 2020–2030, showing a feasible carbon peaking pathway. Infrastructure with lock-in emissions needs energy system transformation and adjacent industrial symbiosis from a regional perspective, while promotion targets and entry thresholds of carbon productivity should be individually tailored for each stock and incremental manufacturing sub-industry. The model could be extended to other petrochemical clusters and emission-intensive industries, synergistically addressing the effects of structure upgrading and efficiency progress to support practical and economically sustainable carbon peaking pathway formulation.

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Publication Details

Journal
Resources Conservation & Recycling Advances
Published
2024-11-27
DOI
https://doi.org/10.1016/j.rcradv.2024.200236
Citations
1
Primary Topic
Environmental Impact and Sustainability
Type
article
Field-Weighted Citation Impact
0.21

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article

Unraveling economic-environmental coupling in China's petrochemical industry towards carbon peaking

Lyujun Chen, Jinping Tian, Hanbo Gao, Yingjie Liu et al.
1 citations
Resources Conservation & Recycling Advances
Environmental Impact and Sustainability
0.21
article

Unraveling economic-environmental coupling in China's petrochemical industry towards carbon peaking

Lyujun Chen, Jinping Tian, Hanbo Gao, Yingjie Liu, Haoge Xu
article en
1 citations

Abstract

• A FLIP model is developed to decarbonize the petrochemical industry. • The model differentiates flexible industries from lock-in infrastructure. • Structure upgrading and efficiency improvement should be coordinated. • Decoupling of economic growth and carbon emission is gained via model optimization. The petrochemical industry is a (key pillar) of chemical production and has relatively stable product demand in a long term, but it faces great decarbonization challenges due to the high energy consumption and complex industrial structure. To tackle this, a flow-land-infrastructure-petrochemical (FLIP) multi-factor model is developed with integration of material and energy flow analysis and decoupling assessment, targeting industrial carbon peaking via industrial structure upgrading and production efficiency improvement of four-digit level petrochemical sub-sectors. A nationally leading petrochemical industrial park was then selected to validate the model's effectiveness and robustness. Through the model optimization, the park could achieve 19 % and 30 % of CO 2 e emission reductions in 2025 and 2030 respectively, compared with emissions in the scenario without intervention. The overall carbon productivity could rise by 89 % with a decoupling index of -0.15 between economic growth and carbon emissions during 2020–2030, showing a feasible carbon peaking pathway. Infrastructure with lock-in emissions needs energy system transformation and adjacent industrial symbiosis from a regional perspective, while promotion targets and entry thresholds of carbon productivity should be individually tailored for each stock and incremental manufacturing sub-industry. The model could be extended to other petrochemical clusters and emission-intensive industries, synergistically addressing the effects of structure upgrading and efficiency progress to support practical and economically sustainable carbon peaking pathway formulation.

Resources Conservation & Recycling AdvancesVol. 24
Tsinghua University (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 48%
Environmental Impact and Sustainability
0.21
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