摘要
快速准确地对入炉煤发热量进行检测是指导电厂经济安全运行的关键,然而煤炭成分复杂,其发热量与元素组成和分子结构都有一定的相关性,单一分析技术快速准确测量入炉煤发热量比较困难。基于激光诱导击穿光谱(LIBS)技术和近红外光谱(NIRS)技术,提出联用2种技术检测入炉煤发热量的方法。同步采集输送带上煤炭的LIBS和NIRS光谱信号,进行光谱数据预处理后融合2种光谱信息,并结合偏最小二乘(PLS)建模方法定量分析煤炭发热量。将该方法用于搭建煤样测量系统,得出煤样发热量定标集的决定系数为0.98,预测集均方根误差为0.37 MJ/kg,平均绝对误差为0.26 MJ/kg,平均相对误差为1.09%。表明所提出的在输送带上LIBS和NIRS信号同步采集方法可快速准确测量入炉煤发热量。
Rapid and accurate measurement of the calorific value of incoming coal is the essential to provide guidance for the economic and safe operation of power plants.However,coal has complex components,and the calorific value is correlated with elemental composition and molecular structure,it is difficult to measure coal calorific value quickly and accurately by a single analytical technique.Based on laser-induced breakdown spectroscopy(LIBS)and near-infrared reflectance spectroscopy(NIRS),a method is proposed to detect the calorific value of incoming coal by combining two techniques.The LIBS and NIRS spectral signals of the coal on the conveyor belt are collected simultaneously.Fusion of two spectral information after data pre-processing,coupled with partial least squares(PLS)modeling method to quantify coal calorific value.This method is used in a coal sample measurement system built by lab,it is reached that the coefficient of determination of the calibration set was 0.98,and the root mean square error of the prediction set was 0.37 MJ/kg,with an average absolute error of 0.26 MJ/kg and an average relative error of 1.09%.The results show that the proposed method of simultaneous acquisition of LIBS and NIRS signals can measure coal calorific value rapidly and accurately.
作者
茌方
王庆松
李承峻
杨爱勇
卢伟业
王森
马维喆
窦有权
陈伟泽
张冬练
莫爵徽
卢志民
姚顺春
CHI Fang;WANG Qingsong;LI Chengjun;YANG Aiyong;LU Weiye;WANG Sen;MA Weizhe;DOU Youquan;CHEN Weize;ZHANG Donglian;MO Juehui;LU Zhimin;YAO Shunchun(Nanjing State Energy Coal Quality Supervision and Inspection Co.,Ltd.,Nanjing 210018,China;School of Electric Power Engineering,South China University of Technology,Guangzhou 510641,China;Cntest Intelligent Scien-Tech Co.,Ltd.,Foshan 528313,China;Guangdong Province Key Laboratory of Efficient and Clean Energy Utilization,Guangzhou 510641,China)
出处
《热力发电》
CAS
CSCD
北大核心
2023年第7期92-98,共7页
Thermal Power Generation
基金
国家能源集团科技项目(GJNY-22-90)
国家重点研发计划政府间国际科技创新合作项目(2019YFE0109700)
国家自然科学基金(U22B20119)
霍英东教育基金会高等学校青年教师基金(171047)
广东省自然科学基金杰出青年项目(2021B1515020071)
广东省能源高效清洁利用重点实验室(2013A061401005)
佛山市科技创新项目(1920001000052)。
关键词
煤炭发热量
输送带
激光诱导击穿光谱
近红外光谱
定量分析
coal calorific value
conveyor belt
laser-induced breakdown spectroscopy
near-infrared reflectance spectroscopy
quantitative analysis
