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

IF 5.4 Q1 ENVIRONMENTAL SCIENCES Resources, conservation & recycling advances Pub Date : 2024-12-01 DOI:10.1016/j.rcradv.2024.200236
Yingjie Liu , Hanbo Gao , Haoge Xu , Jinping Tian , Lyujun Chen
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Abstract

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 CO2e 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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中国石化行业走向碳峰值的经济环境耦合分析
石化行业是化工生产的(重点支柱),长期具有相对稳定的产品需求,但由于能耗高,产业结构复杂,面临着很大的脱碳挑战。为此,结合物能流分析和解耦评估,构建了流-陆-基建-石化(FLIP)多因素模型,以四位数石化细分行业为目标,通过产业结构升级和生产效率提升实现工业碳峰值。然后选取一个全国领先的石化工业园区来验证模型的有效性和稳健性。通过模型优化,与不干预情景相比,2025年和2030年,园区的二氧化碳排放量可分别减少19%和30%。2020-2030年,经济增长与碳排放的脱钩指数为-0.15,总体碳生产率可提高89%,显示出一条可行的碳峰值路径。碳排放锁定型基础设施需要从区域角度进行能源系统转型和相邻产业共生,碳生产率的提升目标和进入门槛应针对存量和增量制造子产业进行个性化定制。该模型可以推广到其他石化产业集群和排放密集型产业,协同解决结构升级和效率提升的影响,为制定切实可行、经济可持续的碳调峰路径提供支持。
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来源期刊
Resources, conservation & recycling advances
Resources, conservation & recycling advances Environmental Science (General)
CiteScore
11.70
自引率
0.00%
发文量
0
审稿时长
76 days
期刊最新文献
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