露天煤矿生产全环节碳排放动态核算与排放时空特征

Dynamic accounting and spatiotemporal emission characteristics of carbon emissions in the entire production process of open-pit coal mine

  • 摘要: 煤炭生产全环节碳排放核算体系是识别碳源特征、优化低碳路径及降低能耗强度的前提,也是煤炭企业实现低碳转型的基础。以北方某典型露天煤矿为例,结合露天开采工艺特征将生产过程划分为矿岩/煤炭采装、运输与排土等八大环节,系统识别各环节直接和间接排放源。基于全生命周期理念,采用排放因子法构建月度尺度动态碳排放核算模型,实现生产全环节逐月碳排放核算。研究表明:矿区生产环节碳排放呈现“逸散主导、环节集中”的特征,柴油驱动的外包剥离、运输及排土形成高排放环节,电力驱动的采装和洗选环节碳排放优势显著;能源结构优化有效降低了碳排放强度,其中柴油消耗量减少对排放强度降低的作用显著高于电力替代。月度碳排放量与原煤产量呈正相关(r=0.99,P≤0.001),且随产能扩张显著增加;同时,排放强度持续下降且波动区间收窄至48.95~54.98 kgCO2e/t原煤,表明产能扩张与能效提升可协同推进。减排潜力主要集中于外包作业运营效率提升、运输与排土等高柴油消耗环节移动设备的电动化改造、生态修复提质,以及CO2捕集利用与封存(CCUS)技术的前瞻布局。该研究构建的碳排放核算框架不仅为露天煤矿碳足迹精细化管理提供定量分析思路,更为同类矿区制定靶向减排降碳政策提供科学依据,助推煤炭行业实现“双碳”目标,具有重要实践价值。

     

    Abstract: A carbon emission accounting framework covering the entire coal production process is a prerequisite for identifying carbon source characteristics, optimizing low-carbon pathways, and reducing energy consumption intensity, and it also forms the basis for the low-carbon transition of coal enterprises. Taking a typical open-pit coal mine in northern China as a case study, the production process is divided into eight major stages — such as ore/coal mining, hauling, and dumping — according to the characteristics of open-pit mining, and direct and indirect emission sources at each stage are systematically identified. Based on a life-cycle perspective, a dynamic monthly carbon emission accounting model is developed using the emission factor method, enabling monthly carbon emission accounting across the entire production chain. The results indicate that: Carbon emissions from mining area production activities exhibit a “fugitive-dominated and process-concentrated” pattern. Diesel-driven outsourced stripping, hauling and dumping constitute high-emission stages, whereas electricity-driven loading and coal washing demonstrate clear carbon emission advantages. Optimization of the energy structure leads to a reduction in carbon emission intensity, with decrease in diesel consumption contributing more than electricity substitution. Monthly carbon emissions are positively correlated with raw coal output (r=0.99, P≤0.001) and increase noticeably with capacity expansion. Meanwhile, carbon emission intensity continues to decline, with its fluctuation range narrowing to 48.95−54.98 kgCO2e/t raw coal, indicating that capacity expansion and energy efficiency improvement can be promoted synergistically. Emission reduction potential is mainly concentrated on improving the operational efficiency of outsourced activities, electrifying mobile equipment in high diesel-consumption stages such as hauling, dumping, enhancing ecological restoration quality, and forward-looking deployment of CO2 capture, utilization, and storage (CCUS) technologies. The carbon emission accounting framework developed herein not only provides a quantitative approach for refined carbon footprint management in open-pit coal mines, but also offers scientific support for formulating targeted emission reduction policies in similar mines, contributing to the coal industry’s achievement of “dual carbon” goals and holding significant practical value.

     

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