Analysis of Low Carbon Operating Models in Steel Industrial Community Integrated Energy System Considering Electric Arc Furnace Short Process

doi:10.12204/j.issn.1000-7229.2023.06.003

Abstract

Abstract:

The iron and steel industry in China is under pressure to reduce carbon emissions; however, the carbon emissions from the traditional blast furnace long-process metallurgy remain high, and the hydrogen metallurgy technology is still in infancy. Therefore, the development of electric arc furnace short-process steelmaking is the low-carbon development approach in the medium term. First, the energy supply and consumption structure of an integrated energy system of the steel industrial community is constructed, with new energy sources, energy storage equipment, blast furnace gas generation technology, and two metallurgical processes: the blast furnace long-process and electric arc furnace short-process. Then, a model of the equipment and metallurgical processes is presented. Second, an optimal dispatch model that considers carbon emissions and equipment operating costs is developed for the community. Finally, the impact of introducing new energy sources, energy storage equipment, and blast furnace gas generation technology on the proportion of electric arc furnace steel production, as well as the impact of different proportions of electric arc furnace steel on the economics of the community, is investigated in different scenarios. The results show that the introduction of new energy, energy storage equipment, and blast furnace gas power generation technology will increase the proportion of electric arc furnace steel in the community, reduce the community's production and operating costs, and reduce carbon emissions.

Key words: integrated energy system, electric arc furnace short process, blast furnace gas power generation, carbon emissions, iron and steel industry

CLC Number:

TM732

ZHAO Haiqi, DONG Shufeng, NAN Bin, ZHANG Xianglong. Analysis of Low Carbon Operating Models in Steel Industrial Community Integrated Energy System Considering Electric Arc Furnace Short Process[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(6): 23-32.

Figures/Tables 13

Fig.1 Integrated energy system structure for steel industrial community

Table 1 Cost comparison of two metallurgical processes

Fig.2 Operating principle of blast furnace gas generating sets

Table 2 Key parameters of the community

Table 3 Classifications of case studies

Table 4 Time-of-use price

Table 5 Equipment parameters for integrated energy systems in community

Fig.3 Yield of two metallurgical processes at each dispatch cycle in different cases

Table 6

Table 7

Table 8

Fig.4 Daily operating costs in relation to the electric arc furnace steel ratio

Fig.5 Proportion of electric heat load and total energy consumption for different electric arc furnace steel ratios

References 35

[1]	International Energy Agency. Global energy review: CO₂ emissions in 2020[R]. Paris: International Energy Agency, 2021.
[2]	MALLAPATY S. How China could be carbon neutral by mid-century[J]. Nature, 2020, 586(7830): 482-483. doi: 10.1038/d41586-020-02927-9
[3]	罗仕华, 胡维昊, 刘雯, 等. 中国2060碳中和能源系统转型路径研究[J/OL]. 中国科学: 技术科学, 2022[2022-08-15]. http://kns.cnki.net/kcms/detail/11.5844.TH.20220714.1552.002.html.
	LUO Shihua, HU Weihao, LIU Wen, et al. Transition pathway for China to achieve carbon neutrality by 2060[J/OL]. Scientia Sinica(Technologica), 2022[2022-08-15]. http://kns.cnki.net/kcms/detail/11.5844.TH.20220714.1552.002.html.
[4]	王利兵, 张赟. 中国能源碳排放因素分解与情景预测[J]. 电力建设, 2021, 42(9): 1-9. doi: 10.12204/j.issn.1000-7229.2021.09.001
	WANG Libing, ZHANG Yun. Factors decomposition and scenario prediction of energy-related CO₂ emissions in China[J]. Electric Power Construction, 2021, 42(9): 1-9. doi: 10.12204/j.issn.1000-7229.2021.09.001
[5]	World Steel Association. Global crude steel output decreases by 0.9% in 2020[EB/OL]. Brussels: World Steel Association, 2021 [2022-8-15]. https://www.worldsteel.org/media-centre/press-releases/2021/Global crude-steel-output-decreases-by-0.9-in-2020.html.
[6]	World Steel Association. Steel statistical yearbooks 2000 to 2019[R]. Brussels: World Steel Association, 2011-2022.
[7]	工业和信息化部, 发展改革委, 生态环境部. 关于促进钢铁工业高质量发展的指导意见[EB/OL]. 北京: 工业和信息化部, 发展改革委, 生态环境部, 2022[2022-1-20]. http://www.gov.cn/zhengce/zhengceku/2022-02/08/content_5672513.htm.
[8]	姚同路, 吴伟, 杨勇, 等. “双碳” 目标下中国钢铁工业的低碳发展分析[J]. 钢铁研究学报, 2022, 34(6): 505-513.
	YAO Tonglu, WU Wei, YANG Yong, et al. Analysis on low-carbon development of China’s steel industry under “dual-carbon” goal[J]. Journal of Iron and Steel Research, 2022, 34(6): 505-513.
[9]	上官方钦, 殷瑞钰, 李煜, 等. 论中国发展全废钢电炉流程的战略意义[J]. 钢铁, 2021, 56(8): 86-92.
	SHANGGUAN Fangqin, YIN Ruiyu, LI Yu, et al. Dissussion on strategic significance of developing full scrap EAF process in China[J]. Iron & Steel, 2021, 56(8): 86-92.
[10]	VERCAMMEN S, CHALABYAN A, RAMSBOTTOM O, et al. The growing importance of steep scrap in China[R]. NewYork: McKinsey Company, 2017.
[11]	CHALABYAN A, LI Y, TANG R, et al. How should steelmakers adapt at the dawn of the EAF mini-mill era in China?[R]. New York: McKinsey Company, 2019.
[12]	李鸿熹. 基于出口垄断势力的中国铁矿石贸易分析[D]. 南京: 南京大学, 2021.
	LI Hongxi. Analysis of China iron ore trade based on export monopoly power[D]. Nanjing: Nanjing University, 2021.
[13]	WU J, YAG J, MA L, et al. A system analysis of the development strategy of iron ore in China[J]. Resources Policy, 2016, 48: 32-40. doi: 10.1016/j.resourpol.2016.01.010 URL
[14]	朱凯, 张艳红. “双碳” 形势下电力行业氢能应用研究[J]. 发电技术, 2022, 43(1): 65-72. doi: 10.12096/j.2096-4528.pgt.21098
	ZHU Kai, ZHANG Yanhong. Research on application of hydrogen in power industry under “double carbon” circumstance[J]. Power Generation Technology, 2022, 43(1): 65-72. doi: 10.12096/j.2096-4528.pgt.21098
[15]	危中良, 戴金华. 氢能在钢铁企业应用方向的探讨[J]. 冶金动力, 2022, 41(3): 67-70, 86.
	WEI Zhongliang, DAI Jinhua. Discussion on the application direction of hydrogen energy in iron and steel enterprises[J]. Metallurgical Power, 2022, 41(3): 67-70, 86.
[16]	张焱, 郝振波, 朱振涛, 等. 海上风能岸上制氢的经济可行性分析[J]. 电力建设, 2023, 44(3): 148-154. doi: 10.12204/j.issn.1000-7229.2023.03.015
	ZHANG Yan, HAO Zhenbo, ZHU Zhentao, et al. Economic feasibility analysis of onshore hydrogen production using offshore wind power[J]. Electric Power Construction, 2023, 44(3): 148-154. doi: 10.12204/j.issn.1000-7229.2023.03.015
[17]	李峰, 储满生, 唐珏, 等. 基于LCA的煤制气-气基竖炉-电炉短流程和高炉-转炉流程环境影响分析[J]. 钢铁研究学报, 2020, 32(7): 577-583.
	LI Feng, CHU Mansheng, TANG Jue, et al. Environmental performance analysis of coal gasification-shaft furnace-electric furnace process and BF-BOF process based on life cycle assessment[J]. Journal of Iron and Steel Research, 2020, 32(7): 577-583.
[18]	李少飞, 顾华志, 黄奥. 钢铁行业氢冶金技术的发展初探[J]. 耐火材料, 2021, 55(4):360-363.
	LI Shaofei, GU Huazhi, HUANG Ao. Development of hydrogen metallurgy technology in iron and steel industry[J]. Refractories, 2021, 55(4):360-363.
[19]	柴锡翠, 岳强, 张钰洁, 等. 氢冶金的研究现状及其能耗状况分析[C]// 第十一届全国能源与热工学术年会论文集. 安徽: 中国金属学会能源与热工分会, 2021: 117-125.
	CHAI Xicui, YUE Qiang, ZHANG Yujie, et al. Research status and energy consumption analysis of hydrogen metallurgy[C]// Proceedings of the 11th Conference on Energy and Thermal Engineering. Anhui: Energy and Thermal Engineering Branch of the Chinese Society for Metals, 2021: 117-125.
[20]	张鹏成, 徐箭, 孙元章, 等. 氢能驱动下钢铁园区能源系统低碳发展模式[J]. 电力系统自动化, 2022, 46(13):10-20.
	ZHANG Pengcheng, XU Jian, SUN Yuanzhang, et al. Low-carbon development mode for energy system of iron and steel park driven by hydrogen energy[J]. Automation of Electric Power Systems, 2022, 46(13):10-20.
[21]	侯明山, 范新有, 刘超, 等. 非碳冶金高温熔炼的研究[J]. 特殊钢, 2011, 32(5): 14-17.
	HOU Mingshan, FAN Xinyou, LIU Chao, et al. A study on non-carbon steelmaking at high temperature[J]. Special Steel, 2011, 32(5):14-17.
[22]	孙彦广, 梁青艳, 李文兵, 等. 基于能量流网络仿真的钢铁工业多能源介质优化调配[J]. 自动化学报, 2017, 43(6):1065-1079.
	SUN Yanguang, LIANG Qingyan, LI Wenbing, et al. Steel industry multi-type energy optimized scheduling with energy flow network simulation[J]. Acta Automatica Sinica, 2017, 43(6):1065-1079.
[23]	梁青艳. 基于流程网络仿真的钢铁企业炼钢调度和能源优化[D]. 北京: 钢铁研究总院, 2021.
	LIANG Qingyan. Steelmaking scheduling and energy optimization of iron and steel enterprises based on process network simulation[D]. Beijing: Central Iron and Steel Research Institute, 2021.
[24]	张琦, 提威, 杜涛, 等. 钢铁企业富余煤气-蒸汽-电力耦合模型及其应用[J]. 化工学报, 2011, 62(3):753-758.
	ZHANG Qi, TI Wei, DU Tao, et al. Coupling model of gas-steam-electricity and its application in steel works[J]. CIESC Journal, 2011, 62(3):753-758.
[25]	马腾飞, 吴俊勇, 郝亮亮, 等. 基于能源集线器的微能源网能量流建模及优化运行分析[J]. 电网技术, 2018, 42(1): 179-186.
	MA Tengfei, WU Junyong, HAO Liangliang, et al. Energy flow modeling and optimal operation analysis of micro energy grid based on energy hub[J]. Power System Technology, 2018, 42(1): 179-186.
[26]	邱纯, 应展烽, 冯奕, 等. 计及碳配额的混合储能综合微能源网优化运行研究[J]. 电力工程技术, 2022, 41(2): 119-127.
	QIU Chun, YING Zhanfeng, FENG Yi, et al. Optimal operation of hybrid energy storage integrated micro-energy network considering carbon quote[J]. Electrical Power Engineering Technology, 2022, 41(2): 119-127.
[27]	李晶, 王新江, 潘宏涛. 钢铁工业长流程和短流程的比较分析[N]. 世界金属导报, 2018-12-28(B02).
	LI Jing, WANG Xinjiang, PAN Hongtao. Comparative analysis of long and short processes in the steel industry[N]. World Metal Herald, 2018-12-28(B02).
[28]	苏泽立. 高炉煤气回收发电项目碳减排问题探究[D]. 邯郸: 河北工程大学, 2018.
	SU Zeli. Discussion on carbon emission reduction of blast furnace gas recovery power generation project[D]. Handan: Hebei University of Engineering, 2018.
[29]	李海东. 全烧富余高炉煤气汽轮发电系统的设计及应用[D]. 重庆: 重庆大学, 2008.
	LI Haidong. Design and application of steam turbine power generation system burning all surplus blast furnace gas[D]. Chongqing: Chongqing University, 2008.
[30]	冯伟忠, 李励. “双碳” 目标下煤电机组低碳、零碳和负碳化转型发展路径研究与实践[J]. 发电技术, 2022, 43(3):452-461. doi: 10.12096/j.2096-4528.pgt.22061
	FENG Weizhong, LI Li. Research and practice on development path of low-carbon, zero-carbon and negative carbon transformation of coal-fired power units under “double carbon” targets[J]. Power Generation Technology, 2022, 43(3):452-461. doi: 10.12096/j.2096-4528.pgt.22061
[31]	吴丹, 赵双鹏, 黄金船, 等. 浅谈高炉煤气在鞍钢的发电利用[J]. 冶金与材料, 2020, 40(1):157-158.
	WU Dan, ZHAO Shuangpeng, HUANG Jinchuan, et al. Discussion on power generation utilization of blast furnace gas in angang[J]. Metallurgy and materials, 2020, 40(1):157-158.
[32]	张长云, 黄景光, 李振兴, 等. 极地环境含风氢储混合微电网容量优化配置[J]. 电力工程技术, 2022, 41(1): 108-116.
	ZHANG Changyun, HUANG Jingguang, LI Zhenxing, et al. Optimal configuration of wind-hydrogen-storage hybrid microgrid capacity in polar environment[J]. Electrical Power Engineering Technology, 2022, 41(1): 108-116.
[33]	汪锋, 豆南南, 喻冬梅. 基于电力系统碳排放流的分省化石能源消费 CO₂排放量测算[J]. 电力系统自动化, 2014, 38(17): 105-112.
	WANG Feng, DOU Nannan, YU Dongmei. Measurement of provincial CO₂ emission from fossil energy consumption based on carbon emission flow in power systems[J]. Automation of Electric Power Systems, 2014, 38(17): 105-112.
[34]	郑忠, 龙建宇, 高小强, 等. 钢铁企业以计划调度为核心的生产运行控制技术现状与展望[J]. 计算机集成制造系统, 2014, 20(11):2660-2674. doi: 10.13196/j.cims.2014.11.003
	ZHENG Zhong, LONG Jianyu, GAO Xiaoqiang, et al. Present situation and prospect of production control technology focusing on planning and scheduling in iron and steel enterprise[J]. Computer Integrated Manufacturing Systems, 2014, 20(11):2660-2674.
[35]	发展改革委, 国家能源局. 关于改善电力运行调节促进清洁能源多发满发的指导意见[EB/OL]. 北京: 发展改革委, 国家能源局, 2015[2022-03-20]. http://www.gov.cn/gongbao/content/2015/content_2878235.htm.