登录
注册
E-alert
登录
注册
E-alert
CARBON EMISSION ACCOUNTING AND PEAK FORECASTING OF IRON & STEEL INDUSTRY IN TANGSHAN
-
摘要: 唐山市作为工业密集型城市，2018年生铁、粗钢和钢材产量约占全国总产量的15%，同时也排放了大量的温室气体和大气污染物。以唐山市为例，研究唐山市钢铁生产碳排放2010—2030年的变化趋势，并确定达峰时间。基于《温室气体排放核算与报告要求》的计算方法，初步建立了可根据设备规模、运行时长、产能利用率和单位产品能耗参数来核算企业CO2排放的数值算式，并将其应用于唐山市全部钢铁联合企业，计算得出2017年唐山市钢铁行业碳排放量为14042.52万t，碳排放系数为1.616 t CO2/t钢。与文献、统计年鉴数据对比误差均<10%，表明数值算式有一定的准确性，可为自下而上地快速核算企业或区域的钢铁生产碳排放提供参考。同时，结合唐山市钢铁历史生产情况、生产现状及未来规划，借助LEAP构建了能源需求模型，得到2010—2030年唐山市钢铁生产化石能源消耗和碳排放量的变化趋势，并确定唐山市钢铁生产碳排放已于2018年达峰。Abstract: Tangshan, as an industrial-intensive city, accounted for about 15% of China’s iron, crude steel, and steel production in 2018, and emitted large amount of greenhouse gases and atmospheric pollutants. This paper took Tangshan as an example and studied trend of the production carbon emission of steel industry from 2010 to 2030 and determined the peak time. Based on the calculation method provided by Greenhouse Gas Emission Accounting and Reporting Requirements, in this paper, we preliminarily established a numerical formula that can calculate the enterprise’s CO2 emission based on the equipment scale, operating time, capacity utilization rate and unit product energy consumption parameters. Then we applied it into all enterprises of Tangshan in 2017, and the carbon emission was calculated as 140,425,200 tons, and the carbon emission coefficient was 1.616 t CO2/t steel. Compared with the literature and statistical yearbook data, the relative error was less than 10%, indicating that the numerical formula had a certain accuracy, which could provide references for the bottom-up rapid accounting of carbon emission from steel production in enterprises or regions. At the same time, we combined the historical production status, production status and future planning of the industry, an energy demand model was constructed by LEAP model to obtain the trends of fossil energy consumption and carbon emission of Tangshan’s iron and steel production from 2010 to 2030, and we find the carbon emission had already peaked in 2018.
-
唐山统计局.唐山统计年鉴[M].北京:中国统计出版社,2011-2018. 王永琴,周叶,张荣. 碳排放影响因子与碳足迹文献综述:基于研究方法视角[J]. 环境工程,2017,35(1):155-159. ZHANG Q, LI Y, XU J, JIA G Y.Carbon element flow analysis and CO2 emission reduction in iron and steel works[J].Journal of Cleaner Production,2018,172(1):709-723. 王韵铭. 京津冀地区钢铁企业碳排放现状及减排潜力研究[D].天津:河北工业大学,2017. 赵艺伟, 左海滨, 佘雪峰,等. 钢铁工业二氧化碳排放计算方法实例研究[J]. 有色金属科学与工程, 2019, 10(1):34-40. 孙祥超, 潘玉桐, 贺姝峒,等. 钢铁联合企业分工序核算碳排放量方法研究[J]. 资源节约与环保, 2018, 000(3):75-78. 张肖, 吴高明, 吴声浩,等. 大型钢铁企业典型工序碳排放系数的确定方法探讨[J]. 环境科学学报, 2012, 32(8):2024-2027. 张世强, 马秀琴, 郭铭昕, 等. 京津冀地区一钢铁企业能耗和温室气体核查分析[J].能源与节能,2020(1):79-81. 田伟健, 李辉, 全魁,等.长流程钢铁企业的碳代谢模型与碳排放分析[J].冶金能源,2020,39(1):3-9. XU B, LIN B. Assessing CO2 emission in China's iron and steel industry:a dynamic vector autoregression model[J]. Applied Energy, 2016, 161:375-386. 甄瑞卿,张红,董广霞,等.基于产业结构调整情景下的中国钢铁行业大气污染排放预测[J]. 环境工程,2017,35(6):114-117. CHEN W Y, YIN X, MA D. A bottom-up analysis of China's iron and steel industrial energy consumption and CO2 emission[J]. Applied Energy, 2014, 136(31):1174-1183. AN R, YU B, LI R, et al. Potential of energy savings and CO2 emission reduction in China's iron and steel industry[J]. Applied Energy, 2018, 226(15):862-880. TAN X, LI H, GUO J, et al. Energy-saving and emission-reduction technology selection and CO2 emission reduction potential of China's iron and steel industry under energy substitution policy[J]. Journal of Cleaner Production, 2019, 222(10):823-834. 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. 兰臣臣, 吕庆, 刘小杰, 等. 喷吹煤气高炉冶炼的极限焦比研究[J]. 矿产综合利用, 2019, 215(1):140-145. 李杰, 宋灿阳, 李小静, 等. 高炉喷吹煤粉燃烧性与反应性的研究与应用[J]. 中国冶金, 2019, 29(1):8-13. 那洪明, 高成康, 郭玉华, 田凡."中国式"电炉炼钢流程碳排放特点及其源解析[J]. 东北大学学报(自然科学版),2019,40(2):212-217. 张雪. 产能过剩背景下唐山钢铁产业升级路径研究[D]. 唐山:华北理工大学,2017. 贾彦鹏. 我国废钢铁资源化利用的现状分析与对策建议[J]. 中国经贸导刊,2020(1):50-52. 闫启平. 中国废钢铁产业研究[M]. 北京:冶金工业出版社, 2014(4):28. 卢峰. 治理产能过剩[R]. 北京:天则经济研究所399次学术报告会纪要, 2010(8):1-2. 冯光宏,张宏亮,张培. 钢铁行业循环经济与清洁生产技术评价方法研究[J]. 环境工程,2012,30(6):113-115. 蔡博峰,庞凌云,曹丽斌,等.《二氧化碳捕集、利用与封存环境风险评估技术指南(试行)》实施2年(2016-2018年)评估[J]. 环境工程,2019,37(2):1-7. 刘博文,邓帅,李双俊,等. 面向碳捕集系统的碳中性评价:研究框架及方法[J]. 环境工程,2019,37(1):192-197. -
点击查看大图
计量
- 文章访问数: 356
- HTML全文浏览量: 33
- PDF下载量: 16
- 被引次数: 0
下载:
