金属矿山井巷建设工程碳排放智能测算方法

Intelligent carbon emission assessment method for metal mine shaft construction projects

  • 摘要: 深入研究金属矿山井巷建设工程的预算定额编制特点,提出基于矿山建设直接系统和辅助系统的双路径碳排放测算架构和计量模型,以实现井巷工程建设期全流程智能碳排测算统计、碳排路径分析及碳排放大户筛分等功能. 结合现场工段施工台班表,深度分析多级剖分下各层级最小单元过程的物质名录清单,总结归纳金属矿山井巷建设工程特有的碳排放因子数据库. 利用MySQL关系型数据库形式搭建金属矿山井巷工程十大碳排放基础数据表,同时各数据库由唯一标识码进行标记. 最后,利用MATLAB app designer为十大基础数据表建立高效的索引调度机制,并利用整合的双路径碳排放计量模型对金属矿山井巷建设工程开展精细化碳排放测算分析. 案例结果显示,本方法能够为金属矿山井巷建设工程在施工前期提供细粒度碳测算分析数据,为后续施工组织设计、低碳技术部署提供具体的数据依托.

     

    Abstract: The metal mining industry is the second-largest carbon emitter in China, followed by the power industry. The metal mining industry is closely intertwined with six major industries that prioritize emission reduction, including steel, nonferrous metals, and building materials. The construction of mine shafts and drifts plays a pivotal role in the initial development and construction of the metallurgical mining industry, and its carbon emissions are integral to the advancement of the industry under the “dual carbon” strategy. This study delves into the distinctive characteristics of budget quota preparation for metal mine shaft and drift construction projects during the construction period. This study proposes a carbon emission assessment framework and model based on the dual assessment path of direct and auxiliary systems. Carbon emissions from ten key projects and seven auxiliary projects are calculated at each level within each carbon assessment path. Furthermore, a comprehensive analysis of the list of substances in the smallest unit processes at various levels is conducted through multilevel dissection. This analysis culminates in the development of a carbon emission factor database specific to the mine shaft and drift construction projects, which is achieved by searching and analyzing global lists of carbon emission substances across different industries. Based on the carbon emission assessment framework presented in this study, the fundamental data for the top ten carbon emissions in metal mine shaft and drift construction projects are established using the MySQL database, with each database labeled by a unique identifier. Subsequently, an efficient indexing and scheduling mechanism is implemented for the top ten basic data tables using the MATLAB App Designer. This mechanism facilitates the application of a comprehensive dual-path carbon emission measurement model for detailed carbon emission calculation and analysis of metal mine shaft and drift construction projects. Case analysis reveals that, in main shaft construction, the primary carbon emitters are associated with the use of cement, macadam, and electrically driven equipment, accounting for approximately 70%–80% of carbon emissions. From an emission source perspective, major carbon emitters result from material usage, generating approximately two to three times the carbon emissions of machinery energy consumption. From an emission pathway perspective, major carbon emitters are predominantly concentrated in the shaft body construction phase, constituting approximately 92% of carbon emissions within this segment of the main shaft project. Further analysis indicates that electricity consumption is the primary source of carbon emissions from machinery and equipment, representing approximately one-fourth to one-third of the total carbon emissions. By contrast, cement consumption serves as the principal source of carbon emissions from material use, accounting for approximately one-fifth to one-fourth of the total carbon emissions. Accordingly, energy-saving and emission-reduction techniques should prioritize the optimization of the material preparation process, such as cement, and the utilization of electrically driven equipment. The outcomes of this study can provide methodological foundation and data support for detailed carbon assessment and concrete implementation of low carbon emission-reduction policies for mine shaft and drift construction projects in China.

     

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