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作 者:冯俊 党帅珂 任高峰[2,3] 葛永翔 张露伟 张聪瑞 李吉民 曹泽伟 FENG Jun;DANG Shuaike;REN Gaofeng;GE Yongxiang;ZHANG Luwei;ZHANG Congrui;LI Jimin;CAO Zewei(Wugang Resources Group Chengchao Mining Co.,Ltd.,Ezhou,Hubei 436051,China;School of Resources and Environmental Engineering,Wuhan University of Technology,Wuhan,Hubei 430070,China;Key Laboratory of Green Utilization of Critical Non-metallic Mineral Resources,Ministry of Education,Wuhan,Hubei 430070,China;School of Civil Engineering and Architecture,Wuhan University of Technology,Wuhan,Hubei 430070,China)
机构地区:[1]武钢资源集团程潮矿业有限公司,湖北鄂州市436051 [2]武汉理工大学资源与环境工程学院,湖北武汉430070 [3]关键非金属矿产资源绿色利用教育部重点实验室,湖北武汉430070 [4]武汉理工大学土木工程与建筑学院,湖北武汉430070
出 处:《矿业研究与开发》2025年第2期226-234,共9页Mining Research and Development
摘 要:我国矿山开采普遍存在着碳排放强度大、能源粗放式消耗的问题,且目前对于矿山开采仍处于碳排放理论层面的核算,缺少对矿山生产过程中碳排放整体统一的管理分析。针对地下开采碳核算现状,梳理总结现有核算方法,采用全生命周期评价法与碳排放系数法,并结合矿山生产管理数据和工艺设备等参数构建了碳排放预测与实测模型。基于此,采用MVC软件架构模式搭建地下矿山开采碳排放核算系统平台,并按照生产数据录入、预测模型计算、实测模型计算、数据对比核算、碳视角分析、基础数据管理等6个主模块进行功能分解与界面设计。通过对程潮铁矿进行实例应用得出,除提升、通风等大功率高耗能工艺设备外,运输、支护以及风动钻孔设备等均为重点排碳点,且预测数据与实测值的误差小于10%,符合精度要求,表明所构建的系统可有效实现地下矿山开采碳排放的预测与数据分析。研究结果对矿山后续减碳工作具有指导意义。China's mining industry generally has the problems of high carbon emission intensity and extensive energy consumption.At present,mining is still in the theoretical level of carbon emission accounting,and there is a lack of unified management and analysis of carbon emission in the process of mining production.In view of the current situation of carbon accounting in underground mining,the existing accounting methods were summarized,and the carbon emission prediction and measurement model was constructed by using the whole life cycle assessment method and the carbon emission coefficient method,combined with the mine production management data and process equipment and other parameters.Based on this,the MVC software architecture model was used to build a system platform of carbon emission accounting for underground mining,and the function decomposition and interface design were carried out according to the six main modules of production data entry,prediction model calculation,measured model calculation,data comparison accounting,carbon perspective analysis and basic data management.Through the example application of Chengchao Iron Mine,it is concluded that in addition to high-power and high-energy-consuming process equipment such as lifting and ventilation,transportation,support and pneumatic drilling equipment are all key carbon emission points,and the error between the predicted data and the measured value is less than 10%,which meets the accuracy requirements.It shows that the constructed system can effectively realize the prediction and data analysis of carbon emissions from underground mining.The research results have guiding significance for the subsequent carbon reduction work of the mine.
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