邹祥波,卢伟业,熊凯,陈公达,陈创庭,陈小玄,李至淳

• 1:广东能源集团科学技术研究院有限公司
• 2:广东省特种设备检测研究院顺德检测院
• 3:广东省能源集团有限公司

摘要(Abstract)：

随着全国碳交易市场的启动和推行，控排企业准确的碳排放数据对政府制定政策以及构建碳交易机制至关重要。目前，国内官方采用的碳排放量核算方法为排放因子法，虽然简单易用，但受人为影响因素大，容易引发碳数据质量问题。为此，基于激光诱导击穿光谱技术（laser-induced breakdown spectroscopy,LIBS）开发了适用于碳市场燃煤电厂入炉煤的煤质指标快速分析方法，结合偏最小二乘回归法（partial least squares regression,PLSR）建立了燃煤元素碳含量和发热量的预测模型。结果表明：所建立的干燥基高位热值和含碳量模型的预测集平均绝对误差（average absolute error,AAE）分别为1.10 MJ/kg和2.72%，实现了电厂每日入炉煤样的快速高频检测；在碳核算应用研究上，算例显示与传统每日实测法相比，采用LIBS快检法开展每日实测得到的月碳排放量核算相对偏差仅为0.40%，准确性优于采用月度缩分煤样检测数据进行核算所得的碳排放量结果；在碳核查应用研究上，以元素碳含量实测法结果为基准，采用LIBS快检法核算的碳排放量比完全缺省值法的平均相对误差（average relative error,ARE）减少了6.73～18.99百分点。LIBS快检法与传统化验精度接近，可应用于碳核查煤质数据验证，并发展为辅助碳核算的快速低成本实用技术。

关键词(KeyWords)： 激光诱导击穿光谱;煤质分析;元素碳含量;碳排放

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目（2021YFF0601001）;; 广东省能源局广东省新型电力系统技术创新项目（1688950422168）;; 广东省能源集团有限公司科技项目（GEG/AJS-22-002）~~

作者(Author): 邹祥波,卢伟业,熊凯,陈公达,陈创庭,陈小玄,李至淳

DOI: 10.19666/j.rlfd.202411167

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