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金屬礦山井巷建設工程碳排放智能測算方法

Intelligent carbon emission assessment method for metal mine shaft construction projects

  • 摘要: 深入研究金屬礦山井巷建設工程的預算定額編制特點,提出基于礦山建設直接系統和輔助系統的雙路徑碳排放測算架構和計量模型,以實現井巷工程建設期全流程智能碳排測算統計、碳排路徑分析及碳排放大戶篩分等功能. 結合現場工段施工臺班表,深度分析多級剖分下各層級最小單元過程的物質名錄清單,總結歸納金屬礦山井巷建設工程特有的碳排放因子數據庫. 利用MySQL關系型數據庫形式搭建金屬礦山井巷工程十大碳排放基礎數據表,同時各數據庫由唯一標識碼進行標記. 最后,利用MATLAB app designer為十大基礎數據表建立高效的索引調度機制,并利用整合的雙路徑碳排放計量模型對金屬礦山井巷建設工程開展精細化碳排放測算分析. 案例結果顯示,本方法能夠為金屬礦山井巷建設工程在施工前期提供細粒度碳測算分析數據,為后續施工組織設計、低碳技術部署提供具體的數據依托.

     

    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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