李涛, 郦秀萍, 上官方钦, 张巍, 周继程, 倪冰, 段志伟, 滕国翔. 中国钢铁行业数字化碳管理发展探讨[J]. 工程科学学报, 2024, 46(2): 209-217. DOI: 10.13374/j.issn2095-9389.2023.07.13.001
引用本文: 李涛, 郦秀萍, 上官方钦, 张巍, 周继程, 倪冰, 段志伟, 滕国翔. 中国钢铁行业数字化碳管理发展探讨[J]. 工程科学学报, 2024, 46(2): 209-217. DOI: 10.13374/j.issn2095-9389.2023.07.13.001
LI Tao, LI Xiuping, SHANGGUAN Fangqin, ZHANG Wei, ZHOU Jicheng, NI Bing, DUAN Zhiwei, TENG Guoxiang. Advancing digital carbon management in China’s steel industry[J]. Chinese Journal of Engineering, 2024, 46(2): 209-217. DOI: 10.13374/j.issn2095-9389.2023.07.13.001
Citation: LI Tao, LI Xiuping, SHANGGUAN Fangqin, ZHANG Wei, ZHOU Jicheng, NI Bing, DUAN Zhiwei, TENG Guoxiang. Advancing digital carbon management in China’s steel industry[J]. Chinese Journal of Engineering, 2024, 46(2): 209-217. DOI: 10.13374/j.issn2095-9389.2023.07.13.001

中国钢铁行业数字化碳管理发展探讨

Advancing digital carbon management in China’s steel industry

  • 摘要: 为了缓解全球气候变暖,应对碳关税等国际贸易形式对中国钢铁行业带来的冲击和影响,助力钢铁行业早日实现“碳达峰+碳中和”的目标. 基于中国钢铁行业碳排放现状与钢铁企业碳管理的痛点,本文通过深度融合数字化技术,创新提出了数字化技术赋能钢铁行业应用架构,通过分析钢铁行业数字化碳管理的典型案例,讨论了不同阶段数字化碳管理体系建设的侧重点,并针对性地提出了相应的应对策略. 本文提出的数字化碳管理的架构应该主要包括四个层次:基础设施层&数据采集层、数据运算层、业务应用层和用户层. 数字化碳管理在钢铁行业的应用场景应该主要包括碳核算、碳账户、碳全景、碳结构&碳比对、碳交易、碳报告、碳咨询、能碳协同、低碳指数、供应链产品碳足迹管理,产品实时碳足迹跟踪、数字化碳标签、识别节能潜力和生态设计等. 通过研究钢铁行业数字化碳管理的典型应用案例,探讨了数字化碳管理技术应用在钢铁行业的展望,按照钢铁行业是否纳入全国碳交易市场,将中国钢铁行业数字化碳管理体系的建设分为两个阶段,认为政府部门应该发挥在数字化碳管理体系建设过程中的主导作用,在健全数字化碳管理相关标准和法规体系的同时,应该注重数字化碳管理人才的培养,紧密对接企业现有的信息化系统,并提出了“六化一体+多平台”的钢铁行业数字化碳管理的发展趋势,即“一主体+多平台”的低碳产品评价认证体系,和具有标准化、国际化、一体化、安全化、资产化和本土化特点的数字化碳管理体系. 将数字化碳管理技术应用到钢铁行业,能够更好地解决钢铁行业碳管理的乱象和企业碳管理的痛点,降低钢铁行业碳管理的门槛,提高钢铁行业碳管理的效率,保障碳数据在传递过程中的安全.

     

    Abstract: To address global warming, respond to international trade pressures (such as carbon tariffs) affecting China’s iron and steel industry, and help the steel industry achieve the goal of “carbon peak + carbon neutrality,” this paper examines the current carbon emissions landscape within China’s iron and steel industry and identifies the challenges encountered by steel enterprises in managing carbon emission. An innovative framework for leveraging digital technology to enhance the capabilities of the iron and steel industry is proposed. Drawing insights from notable instances of digital carbon management in the steel industry, key priorities at different stages of building a digital carbon management system are explored, and corresponding strategies are put forward. The framework of digital carbon emission management comprises four layers: infrastructure and data acquisition, data processing, business application, and user interface layers. The envisioned applications of digital carbon management in the steel industry encompass carbon accounting, carbon reporting, carbon mapping, carbon structure analysis, carbon comparisons, carbon trading, carbon consulting, energy–carbon synergy, low-carbon index, management of product carbon footprints along the supply chain, real-time tracking of product carbon footprints, digital carbon labeling, identification of energy-saving potential, and ecological design. By delving into representative case studies of digital carbon management within the steel industry, the potential for the application of digital carbon management technology in the steel industry is analyzed. A two-stage approach for implementing a digital carbon management system in China’s steel industry was proposed, contingent on whether the industry becomes part of the national carbon trading market. Government should play a leading role in guiding the development of the digital carbon management system. Simultaneously, we emphasize the need to enhance relevant standards and regulations in digital carbon management, invest in the training of professionals in this field, and establish strong connections with existing enterprise information systems. We advocate for a future trend of “six integration + multiplatform” digital carbon management within the steel industry, featuring a “one body + multiplatform” evaluation and certification system for low-carbon products. This vision for digital carbon management encompasses characteristics such as standardization, internationalization, integration, security, asset management, and localization. Integrating digital carbon management technology into the steel industry holds the potential to streamline carbon management processes, alleviate pain points experienced by enterprises, lower barriers to carbon management, increase operational efficiency, and safeguard carbon data during transmission.

     

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