|
|
Research on carbon dioxide emission characteristics and emission reduction path of China's iron and steel industry based on ARIMA-LEAP model |
CHEN Hao1, HU Jing-ru1, WANG Shou-bing1, ZHANG Ting-feng2, FANG Kai2 |
1. Department of Environmental Science and Engineering, Fudan University, Shanghai 200433; 2. China Baosteel Engineering & Technology Group Co., Ltd., Shanghai 201900 |
|
|
Abstract To have removed any subjective bias in forecasting future production levels of crude steel, steel, and pig iron, the past study employed the ARIMA model in time series analysis to provide an objective outlook on production volumes. Specifically, it had developed the ARIMA-LEAP model tailored for the Chinese steel industry, using 2020 as the benchmark year and examining production estimates at 5-year intervals from 2020 to 2030. The research delved into the CO2 emissions throughout the entire steel production process, considering various scenarios.By incorporating advancements such as hydrogen reduction ironmaking technology and adapting energy structures, including shifts in electricity generation methods, the study had established four individual scenarios and four combined scenarios, which were then evaluated for their potential impact on emission reductions. The results showed that the CO2 emission reduction potential of the four combined scenarios with scale emission reduction had been higher than that of the single scenario.Among them, SUR+TER, SUR+STR and comprehensive emission reduction scenarios can be reached in 2030, and the peak years are all 2021, and the CO2 emissions at the peak time are 1322.5Mt, 1335.9Mt and 1328.9Mt, respectively. In comparison to the baseline scenario, the CO2 emission reduction in a single scenario, from the highest to the lowest, was as follows: In 2030, the emission reductions in the scale (SUR), structural (STR), and technical (TAR) scenarios, relative to the base scenario, were found to be 493.1Mt, 247.8Mt, and 105.1Mt, respectively. Utilizing the LEAP model's energy accounting and CO2 emission accounting functions, the CO2 emissions of different processes and different energy sources from 2020 to 2030 under the comprehensive emission reduction scenario were studied. Among them, the three processes with the highest CO2 emissions were the iron making, steel rolling, and sintering processes, while the four energy sources with the highest CO2 emissions were washed coal, pulverized coal injection, electric power, and coke. Notably, the CO2 emission of washed coal reached the 10Bt level, while the other three energy sources also reached the Bt level. This study had identified the CO2 emissions characteristics of the Chinese steel industry and conducted a simple comparison of the costs for technical emission reduction and structural emission reduction, subsequently formulating a path for CO2 emission reduction in the Chinese steel industry.
|
Received: 04 November 2023
|
|
|
|
|
[1] IEA. Credible pathways to 1.5℃:Four pillars for action in the 2020s[EB/OL].(2023-04)[2023-12-15]. https://www.iea.org/reports/credible-pathways-to-150c. [2] 生态环境部.中华人民共和国气候变化第二次两年更新报告[EB/OL].(2018-12)[2023-12-15]. https://www.mee.gov.cn/ywgz/ydqhbh/wsqtkz/201907/P020190701765971866571.pdf. Ministry of Ecology and Environment. Second biennial update report on climate change of the people's Republic of China[EB/OL].(2018-12)[2023-12-15]. https://www.mee.gov.cn/ywgz/ydqhbh/wsqtkz/201907/P020190701765971866571.pdf. [3] 中华人民共和国工业和信息化部.关于印发钢铁工业调整升级规划(2016~2020年)的通知[EB/OL].(2016-11-14)[2023-12-15]. https://www.miit.gov.cn/jgsj/ycls/gzdt/art/2020/art_06e068a41d2b477ebc56f3d8204a53d4.html. Ministry of Industry and Information Technology of the people's Republic of China. Notice on issuing the adjustment a upgrading plan for the iron and steel industry (2016-2020)[EB/OL].(2016-11-14)[2023-12-15]. https://www.miit.gov.cn/jgsj/ycls/gzdt/art/2020/art_06e068a41d2b477ebc56f3d8204a53d4.html.. [4] Price L, Sinton J, Worrell E, et al. Energy use and carbon dioxide emissions from steel production in China[J]. Energy, 2002,27(5):429-446. [5] Wei B, Yagita H, Kobayashi M, et al. NICE III computer program and its application in China[C]//Piscataway:Proceeding of Eco-Design Conerfence, 2003:360-361. [6] Karali N, Xu T, Sathaye J. Reducing energy consumption and CO2 emissions by energy efficiency measures and international trading:a bottom-up modeling for the US iron and steel sector[J]. Applied Energy, 2014,120:133-146. [7] Xu B, Lin B. Regional differences in the CO2 emissions of China's iron and steel industry:Regional heterogeneity[J]. Energy Policy, 2016,88:422-434. [8] 王倩,张玲玲,苍大强.基于GaBi软件的钢铁工业球团工艺LCA生命周期评价[J].冶金能源, 2017,36(5):3-6,32. Wang Q, Zhang L L, Cang D Q. LCA life cycle assessment of pelletizing process in iron and steel industry based on GaBi software[J]. Metallurgical Energy, 2017,36(5):3-6,32. [9] 易正明,陈卓,覃佳卓,等.基于LCA方法的铁矿烧结过程环境影响评价[J].烧结球团, 2022,47(2):88-95. Yi Z M, C Z, Q J Z, et al. Environmental impact assessment of iron ore sintering process based on LCA method[J]. Sintered Pellets, 2022, 47(2):88-95. [10] 万腾方.钢铁产品的生命周期分析及环境影响评价[D].武汉:武汉科技大学, 2021. Wan T F. Life cycle analysis and environmental impact assessment of iron and steel products[D]. Wuhan:Wuhan University of Science and Technology, 2021. [11] Ates S A. Energy efficiency and CO2 mitigation potential of the Turkish iron and steel industry using the LEAP (long-range energy alternatives planning) system[J]. Energy, 2015,90:417-428. [12] 李新,路路,穆献中,等.基于LEAP模型的京津冀地区钢铁行业中长期减排潜力分析[J].环境科学研究, 2019,32(3):365-371. Li X, Lu L, Mu X G, et al. Medium-and long-term emission reduction potential analysis of steel industry in Beijing-Tianjin-Hebei region based on LEAP model[J]. Environmental Science Research, 2019,32(3):365-371. [13] 王克,王灿,吕学都,等.基于LEAP的中国钢铁行业CO2减排潜力分析[J].清华大学学报(自然科学版), 2006,46(12):1982-1986. Wang K, Wang C, Lv X D, et al. Analysis of CO2 emission reduction potential of China's iron and steel industry based on LEAP[J]. Journal of Tsinghua University (Natural Science Edition), 2006,46(12):1982-1986. [14] 何枫,徐晓宁,王学艳,等.我国钢铁产业碳减排LEAP模型情景研究[J].华东经济管理, 2013,27(12):89-92,134. He F, Xu X M, Wang X Y, et al. Scenario study on LEAP Model of carbon emission reduction in China's iron and steel industry[J]. Economic Management of East China, 2013,27(12):89-92,134. [15] 刘方舟.基于LEAP模型的城市碳排放达峰预测研究[D].青山:中钢集团武汉安全环保研究院, 2022. Liu F Z. Study on prediction of urban carbon emission peak based on LEAP model[D]. Qingshan:Wuhan Safety and Environmental Protection Research Institute of Sinosteel, 2022. [16] 张建.邯郸市工业能源消费及碳达峰研究[D].邯郸:河北工程大学, 2023. Zhang J. Study on industrial energy consumption and carbon peak in Handan[D]. Handan:Hebei University of Engineering, 2023. [17] 杨峰,张贵驰,孙佶,等.基于LEAP模型的长三角某市碳达峰情景[J/OL].环境科学, 2023:1-19.https://doi.org/10.13227/j.hjkx.202301129. Yang F, Zhang G C, Sun K, etc. Carbon peak scenario of a city in the Yangtze River Delta based on LEAP model[J/OL]. Environmental Science, 2023:1-19.https://doi.org/10.13227/j.hjkx.202301129. [18] 栾天阳.基于LEAP模型的吉林省钢铁工业碳减排路径研究[D].长春:吉林大学, 2017. Luan T Y. Study on carbon emission reduction path of Jilin iron and steel industry based on LEAP model[D]. Changchun:Jilin University, 2017. [19] 后春辉.吉林省钢铁行业多阶段CO2排放特征与达峰路径研究[D].长春:吉林大学, 2023. Hou C H. Study on multi-stage CO2 emission characteristics and peak path of iron and steel industry in Jilin Province[D]. Changchun:Jilin University, 2023. [20] 段蒙,项定先,卢腾飞,等.武汉市钢铁行业碳减排潜力及成本分析[J].中国人口·资源与环境, 2016,26(S1):41-44. Duan M, Xiang D X, Lu T F, et al. Carbon emission reduction potential and cost analysis of Wuhan iron and steel industry[J]. Population Resources and Environment of China, 2016, 26(S1):41-44. [21] 李日健,李玉凤.唐山市钢铁工业节能减排潜力分析[J].华北理工大学学报(自然科学版), 2023,45(2):125-132. Li R J, Li Y F. Analysis of energy saving and emission reduction potential of iron and steel industry in Tangshan[J]. Journal of North China University of Technology (Natural Science Edition), 2023, 45(2):125-132. [22] 周大地.2020中国可持续能源情景[M].北京:中国环境科学出版社, 2003:30-35. Zhou D D. 2020 sustainable energy scenario in China[M]. Beijing:China Environmental Science Press, 2003:30-35. [23] 吴会会,王嘉鹏,吴文静,等.基于ARIMA模型的全球气表温度预测分析[J].现代信息科技, 2023,7(16):147-150. Wu H H, Wang J P, Wu W J, et al. Prediction and analysis of global gas meter temperature based on ARIMA model[J]. Modern Information Technology, 2023,7(16):147-150. [24] 赵晓丽.ARIMA模型在城市轨道交通短期客流预测中的应用研究[J].现代城市轨道交通, 2023,(8):77-82. Zhao X L. Application of ARIMA Model in short-term passenger flow Forecast of Urban Rail Transit[J]. Modern Urban Rail Transit, 2023,(8):77-82. [25] 闫祥祥.使用ARIMA模型预测公园绿地面积[J].计算机科学, 2020,47(S2):531-534,556. Yan X X. The ARIMA model is used to predict the green area of the park[J]. Computer Science, 2020,47(S2):531-534,556. [26] 柳晓艺.基于ARIMA和GM (1, 1)模型的新中国粗钢产量预测[J].西部皮革, 2020,42(8):87. Liu X Y. Prediction of crude steel output in New China based on ARIMA and GM (1BI 1) model[J]. Western Leather, 2020,42(8):87. [27] 刘铁敏.中国粗钢及铁矿石需求计量经济预测[D].沈阳:东北大学, 2011. Liu T M. Econometric forecast of China's crude steel and iron ore demand[D]. Shengyang:Northeastern University, 2011. [28] 吴玉程,王雪峰,包研科,等.基于我国GDP发展的钢-焦炭-炼焦煤需求预测分析[J].煤炭经济研究, 2019,39(11):15-22. Wu Y C, Wang X F, Bao Y K, et al. Prediction and analysis of steel-coke-coking coal demand based on the development of GDP in China[J]. Coal Economic Research, 2019,39(11):15-22. [29] 龙文琪.河南省典型钢铁企业绿色转型及效益评估研究[D].郑州:郑州大学, 2022. Long W Q. Study on green transformation and benefit evaluation of typical iron and steel enterprises in Henan Province[D]. Zhengzhou:Zhengzhou University, 2022. [30] 宣艳妮.我国废钢资源量及其再生效益分析[D].沈阳:东北大学, 2018. Xuan Y N. Analysis of scrap resources and its recycling benefits in China[D]. Shenyang:Northeastern University, 2018. [31] 钟小根.中国粗钢产量历史发展及市场预测研究[J].市场周刊(理论研究), 2013,(7):32-33. Zhong X G. Study on historical development and market forecast of crude steel output in China[J]. Market Weekly (theoretical Research), 2013,(7):32-33. [32] 那洪明,何剑飞,袁喻兴,等.钢铁企业不同生产流程碳排放解析[C]//中国金属学会能源与热工分会,东北大学.第十届全国能源与热工学术年会论文集, 2019:7. Na H M, He J F, Yuan Yuxing, etc.Analysis of carbon emissions from different production processes in iron and steel enterprises[C]//Energy and Thermal Branch of China Metal Society, Northeastern University. Proceedings of the 10th National Annual meeting of Energy and Thermal Engineering, 2019:7. [33] 中国钢铁工业协会.中国钢铁工业年鉴2021[M].北京:中国冶金出版社, 2022. China Iron and Steel Industry Association. China Iron and Steel Industry Yearbook 2021[M]. Beijing:China Metallurgical Press, 2022. [34] 姚聪林,朱红春,姜周华,等.全废钢连续加料电弧炉短流程碳排放计算及分析[J].材料与冶金学报, 2020,19(4):259-264. Y C L, Zhu H C, Jiang Z H, et al. Calculation and analysis of carbon emission from short process of full scrap continuous feeding electric arc furnace[J]. Journal of Materials and Metallurgy, 2020,19(4):259-264. [35] 汪旭颖,李冰,吕晨,等.中国钢铁行业CO2排放达峰路径研究[J].环境科学研究, 2022,35(2):339-346. Wang X Y, Li B, Lu C, et al. Study on the peak path of CO2 emission from China's iron and steel industry[J]. Environmental Science Research, 2022,35(2):339-346. [36] 刘宏强,付建勋,刘思雨,等.钢铁生产过程CO2排放计算方法与实践[J].钢铁, 2016,51(4):74-82. Liu H Q, Fu J X, Liu S Y, et al. Calculation method and practice of CO2 emission in iron and steel production process[J]. Iron and Steel, 2016,51(4):74-82. [37] 王新东,赵志龙,李传民,等.基于富氢焦炉煤气零重整的氢冶金工程技术[J].钢铁, 2023,58(5):11-19. Wang X D, Zhao Z L, Li C M, et al. Hydrogen metallurgy engineering technology based on zero reforming of hydrogen-rich coke oven gas[J]. Iron and Steel, 2023,58(5):11-19. [38] 蔡斌,权芳民,王明华,等.钢铁企业氢冶金技术的研究及产业化应用[J].新疆钢铁, 2023,30(1):7-10,37. Cai B, Quan F M, Wang M H, et al. Research and industrial application of hydrogen metallurgy technology in iron and steel enterprises[J]. Xinjiang Iron and Steel, 2023,30(1):7-10,37. [39] 李海峰,陈靖然,王新东,等.面向长流程的富氢低碳炼铁技术路径分析[J].钢铁, 2023,58(10):1-11. Li H F, Chen J R, Wang X D, et al. Technical path analysis of hydrogen-rich low-carbon ironmaking for long process[J]. Iron and Steel, 2023,58(10):1-11. [40] 周美洁,艾立群,洪陆阔,等.氢冶金基础研究和新工艺探索[J].材料导报, 2023,37(13):168-173. Zhou M J, Ai L Q, Hong L K, et al. Basic research and new process exploration of hydrogen metallurgy[J]. Material Guide, 2023,37(13):168-173. [41] 工业和信息化部,国家发展改革委,生态环境部.关于印发工业领域碳达峰实施方案的通知[EB/OL].(2022-07-07)[2023-12-15]. https://www.gov.cn/gongbao/content/2022/content_5717004.htm. Ministry of Industry and Information Technology, National Development and Reform Commission, Ministry of Ecological Environment. Notice on issuing the implementation plan of carbon peak in the industrial sector[EB/OL].(2022-07-07)[2023-12-15]. https://www.gov.cn/gongbao/content/2022/content_5717004.htm. [42] 周孝信,赵强,张玉琼."双碳"目标下我国能源电力系统发展前景和关键技术[J].中国电力企业管理, 2021,42(31):14-17. Zhou X X, Zhao Q, Zhang Y Q. The development prospect and key technologies of China's energy and power system under the goal of "double carbon" [J]. China Electric Power Enterprise Management, 2021,42(31):14-17. [43] 戴颜德,胡秀莲.中国二氧化碳减排技术的潜力和成本研究[M].北京:中国环境出版社, 2013:122-127. Dai Y D, Hu X L. Study on the potential and cost of carbon dioxide emission reduction technology in China[M]. Beijing:China Environment Press, 2013:122-127. [44] 张琦,沈佳林,许立松.中国钢铁工业碳达峰及低碳转型路径[J].钢铁, 2021,56(10):152-163. Zhang Qi, Shen J L, Xu L S. Carbon peak and low-carbon transformation path of China's iron and steel industry[J]. Iron and Steel, 2021,56(10):152-163. |
|
|
|