西北地区典型井工煤矿碳排放核算与减排路径研究  

Research on carbon emission accounting and reduction path of typical underground coal mines in northwest China

作　　者：陈梦圆 张凯[1] 黄瑞舒 何勇 李梦琪 陈湘宇 CHEN Mengyuan;ZHANG Kai;HUANG Ruishu;HE Yong;LI Mengqi;CHEN Xiangyu(School of Chemistry and Environmental Engineering,China University of Mining and Technology-Beijing,Haidian,Beijing 100083,China;Baotou Ecological Environment Technology Support Center,Baotou,Inner Mongolia 014000,China)

机构地区：[1]中国矿业大学(北京)化学与环境工程学院,北京市海淀区100083 [2]包头市生态环境技术保障中心,内蒙古自治区包头市014000

出　　处：《中国煤炭》2025年第4期1-13,共13页China Coal

基　　金：国家重点研发计划资助项目(2022YFF1303304);国家自然科学基金资助项目(42177037)。

摘　　要：井工煤矿既是碳基能源的供应方也是消耗方,其碳排放核算在“双碳”背景下备受关注。《中国煤炭生产企业温室气体排放核算方法与报告指南(试行)》(以下简称《指南》)指导和规范了温室气体核算方法,但其适用性与对企业降碳工作的指导性仍存在争议。选取我国西北地区典型井工煤矿(含选煤厂)为研究对象,在关键监测点位布设CH_(4)传感器、风速传感器及多参数传感器,进行为期8个月的实时监测,获取煤矿区CH_(4)排放量,依据《指南》识别该煤矿温室气体排放源项和核算范围,核算了各排放源碳排放量及趋势。研究结果表明:煤矿开采及选煤工艺的温室气体排放源有主要有6项,占比大小排列为矿后CH_(4)逃逸排放(43.9%~44.9%)>净购入电力隐含的CO_(2)排放(24.3%~28.0%)>井工开采CH_(4)逃逸排放(14.5%~16.8%)>净购入热力隐含的CO_(2)排放(7.2%~7.9%)>化石燃料燃烧CO_(2)排放(3.5%~7.0%)>井工开采CO_(2)逃逸排放(0.8%~0.9%);化石燃料的燃烧、井工开采和矿后活动与温室气体排放总量及其三者之间均具有强正相关关系,是实施碳减排的重点对象;针对矿后CH_(4)逃逸核算与实际排放差距大的问题,提出基于机器学习模型的电力矿后CH_(4)逃逸核算方法;指出西北地区地下煤矿应实施联合减排技术,结合实地考察为矿区设计综合性的碳减排路径和方案,为我国西北地区井工煤矿的碳排放核算和碳减排方案设计提供数据基础与科学指导。Underground coal mines are both suppliers and consumers of carbon-based energy,and thier carbon emission accounting has attracted much attention in the context of carbon peak and carbon neutrality.The Guidelines for Greenhouse Gas Emission Accounting Methods and Reporting of Chinese Coal Production Enterprises(Trial)(hereinafter referred to as the Guidelines)provide guidance and standardization for greenhouse gas accounting methods,but there is still controversy over its applicability and guidance for carbon reduction work in enterprises.Selecting typical underground coal mines(including coal preparation plant)in northwest China as the research object,methane sensors,wind speed sensors,and multi-parameter sensors were installed at key monitoring points for real-time monitoring for 8 months to obtain methane emissions in the coal mine area.According to the Guidelines,the greenhouse gas emission source items and accounting scope of the coal mine were identified,and the carbon emissions and trends of each emission source were calculated.The research results indicated that there were six main sources of greenhouse gas emissions from coal mining and coal preparation processes,ranked in order of proportion as post-mining CH_(4)emissions(43.9%-44.9%)>CO_(2)emissions hidden in electricity(24.3%-28.0%)>CH_(4)emissions from underground mining(14.5%-16.8%)>CO_(2)emissions hidden in heat(7.2%-7.9%)>CO_(2)emissions from fossil fuel combustion(3.5%-7.0%)>CO_(2)emissions from underground mining(0.8%-0.9%);the combustion of fossil fuels,underground mining,and post-mining activities had a strong positive correlation with the total greenhouse gas emissions and all three,making them key targets for implementing carbon reduction;to address the issue of significant discrepancies between post-mining CH_(4)escape accounting and actual emissions,a CH_(4)escape accounting method for power and post-mining based on machine learning model was proposed;it was pointed out that joint emission reduction technology should be implemented in under

关 键 词：井工煤矿 碳排放核算 机器学习模型 联合减排技术 碳减排路径 矿后CH_(4)逃逸实时监测 

分 类 号：TD995[矿业工程—选矿]