A Feasibility Study on Using near Infrared Spectroscopy to Classify Straw-Coal Blends
A Feasibility Study on Using near Infrared Spectroscopy to Classify Straw-Coal Blends
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DOI：
10.1255/jnirs.934
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发表时间：
2011-08
影响因子：
1.8
通讯作者：
Cheng He;Zengling Yang;G. Huang;Long-jian Chen;Lujia Han
中科院分区：
文献类型：
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作者：
Cheng He;Zengling Yang;G. Huang;Long-jian Chen;Lujia Han
快速分类生物质、煤和生物质-煤混合燃料对于制定适当的生物质共烧发电补贴政策和方法非常重要。利用近红外光谱技术对秸秆、煤和秸秆煤混合物进行了分类研究。制备了81个秸秆样品、9个煤样、81个秸秆含量为91% ~ 99%的秸秆混煤样品（blends1）和90个秸秆含量为1% ~ 30%的秸秆混煤样品（blends2），并将其分为校准集和外部预测集。光谱用傅里叶变换-近红外光谱仪扫描。样品的原始光谱以平均值为中心，并使用判别分析进行比较。总体而言，秸秆、blends1、blends2和煤炭样品的正确分类率分别为98.8%、90.1%、83.3%和66.7%。结果表明，近红外技术可以很好地对秸秆和煤进行分类。秸秆含量小于98%的秸秆混掺物，基于纯秸秆的光谱可以准确分类；秸秆含量大于20%的秸秆混掺物，基于纯煤的光谱可以很好地分类。结果表明，近红外光谱是一种可行的秸秆、煤及秸秆混煤快速分类方法。
Rapid classification of biomass, coal and biomass-coal blends is very important for developing appropriate subsidy policies and methods for biomass co-firing power generation in China. The use of near infrared reflectance (NIR) spectroscopy to classify straw, coal and straw-coal blends was explored in this study. Eighty-one straw samples, 9 coal samples, 81 straw-coal blends samples with straw content from 91% to 99% (blends1) and 90 straw-coal blends samples with straw content from 1% to 30% (blends2) were prepared and separated into a calibration set and an external prediction set. Spectra were scanned by a Fourier transform-NIR spectrometer. Raw spectra of the samples were mean centred and compared using discriminant analysis. Overall, the correct classification percentages for straw, blends1, blends2 and coal samples were 98.8%, 90.1%, 83.3% and 66.7%, respectively. The results show that the NIR technique could provide excellent classification between straw and coal. The spectra of straw-coal blends with straw content less than 98% can be classified exactly from calibrations based on pure straw and the spectra of straw-coal blends with straw content greater than 20% can be well classified from calibrations based on pure coal. It is concluded that NIR is a feasible method for rapid classification of straw, coal and straw-coal blends.