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基于排放因子法的辽宁省钢铁行业碳达峰预测

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钢铁行业作为工业生产的支柱产业,在碳排放领域占有重要份额.辽宁省钢铁行业的产量处于全国产量前列,钢铁行业是影响辽宁省碳达峰碳目标的主要行业,开展碳达峰预测十分必要.采用《温室气体排放核算与报告要求》核算 2000-2019年辽宁省钢铁行业的CO2 排放量.基于排放因子法预测了 3种情景下辽宁省钢铁行业CO2排放量和达峰情况,测算结果表明基准情景下达峰时间是2035年,峰值2.9741×108 t;低碳情景下达峰时间是2027年,峰值2.2865×108 t;绿色情景下达峰时间是2024年,峰值2.0902×108 t.提出能源结构对钢铁行业碳达峰的影响,对比3种情景下的经济性指标,为辽宁省钢铁行业向低碳转型提供相应的建议.
Carbon Peak Prediction of Steel Industry in Liaoning Province Based on Emission Factor Method
The steel industry,as a pillar industry of industrial production,holds an important share in the field of carbon emissions.The output of the steel industry in Liaoning Province is among the top in the country,and steel industry is the main industry that affects the carbon peak carbon target in Liaoning Province.It is necessary to carry out carbon peak prediction.In this paper,Accounting and Reporting Requirements of the Greenhouse Gas Emission was used to account for the carbon dioxide emissions from the steel industry in Liaoning Province from 2000 to 2019.Based on the emission factor method,the carbon dioxide emissions and peak conditions of the steel industry in Liaoning Province were predicted under three scenarios,The calculation results show that the peak time of the baseline scenario is 2035,with a peak of 2.9741×108 t;The peak time for the low-carbon scenario is 2027,with a peak of 2.2865×108 t;The peak time for the green scenarios is 2024,with a peak of 2.0902×108 t.The impact of energy structure on carbon peaking in the steel industry is proposed,and the economic indicators under the three scenarios are compared,so as to provide corresponding suggestions for the low-carbon transformation of the steel industry in Liaoning Province.

steel industrycarbon emissionsemission factorscenario analysiscarbon peak

王亚平、于常武

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辽宁工业大学 化学与环境工程学院,辽宁 锦州 121000

钢铁行业 碳排放 排放因子 情景分析 碳达峰

辽宁省教育厅项目

JYTMS20230834

2024

辽宁工业大学学报(自然科学版)
辽宁工业大学

辽宁工业大学学报(自然科学版)

影响因子:0.226
ISSN:1674-3261
年,卷(期):2024.44(3)