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首页> 外文期刊>Bioresource Technology: Biomass, Bioenergy, Biowastes, Conversion Technologies, Biotransformations, Production Technologies >A rapid and accurate method for on-line measurement of straw-coal blends using near infrared spectroscopy
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A rapid and accurate method for on-line measurement of straw-coal blends using near infrared spectroscopy

机译:使用近红外光谱在线快速,准确地测量稻草-煤混合物的方法

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摘要

On-line measurement of biomass-coal blends is very important for developing appropriate subsidy policies for biomass co-firing power generation. Near infrared reflectance spectroscopy (NIRS) was used for on-line qualitative analysis of straw, coal and straw-coal blends and on-line quantitative analysis of straw content of straw-coal blends. A total of 80 straw samples, nine coal samples, 120 straw-coal blends samples with straw content from 70% to 99% (blends1) and 120 straw-coal blends samples with straw content from 1% to 30% (blends2) were prepared. Spectra were obtained using a Thermo Fisher Scientific Antaris Target FT-NIR spectrometer. Linear discriminant analysis method was used for qualitative analysis, correct classification percentages of straw, blends1, blends2 and coal were 89.87%, 79.66%, 94.92% and 100%, respectively. The ratio of standard error of performance to standard deviation (RPD) of quantitative analysis model was 3.52. It is concluded NIRS is a rapid and accurate method for on-line measurement of straw-coal blends.
机译:对生物质-煤混合气的在线测量对于制定适当的生物质共燃发电补贴政策非常重要。近红外反射光谱法(NIRS)用于秸秆,煤炭和秸秆煤混合物的在线定性分析,以及秸秆煤混合物的秸秆含量的在线定量分析。总共准备了80个秸秆样品,9个煤样品,120个秸秆含量介于70%至99%(掺合物1)的秸秆煤混合物样品和120个秸秆含量介于1%至30%(掺合物2)的秸秆煤炭掺合物样品。 。使用Thermo Fisher Scientific Antaris Target FT-NIR光谱仪获得光谱。使用线性判别分析法进行定性分析,秸秆,混合物1,混合物2和煤的正确分类百分比分别为89.87%,79.66%,94.92%和100%。定量分析模型的性能标准误与标准偏差(RPD)的比率为3.52。可以得出结论,NIRS是一种快速,准确的在线测量草煤混合物的方法。

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