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MOISTURE CONTENT MEASUREMENTS ON SAWDUST WITH RADIO FREQUENCY SPECTROSCOPY

机译:用无线电频率光谱法测定木屑中的水分含量

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The aim of the research described in this paper is to measure moisture content in biomass fuel with radio frequency spectroscopy. The advantage with this method is that radio waves penetrate large samples, and thereby gives an average moisture content representing the whole sample. The method is fast and is a small scale version of what can be applied in the future on-line for biomass fuel arriving in containers to the power plants. The moisture content is determined with a sensor that measure attenuation and phase shift for a frequency spectrum from 310 MHz to 900 MHz. The measurements are performed on sawdust with moisture contents normally occurring in power plants (from 34 to 65%). Multivariate data analysis is used for evaluation of the dielectric spectra from samples with known moisture content. Our results show that it is possible to measure moisture content in sawdust using radio frequency spectroscopy. A partial least square model is built on samples from sawdust. The moisture content varied between 34 and 60%. A standard error for the cross validation of 0.99% and a correlation factor of 0.99 was received. It is known that dielectric properties are also influenced by bulk density and temperature. Tests show that the influence of the bulk density is of greater importance. Further calibration measurements have to be performed to be able to make reliable measurements on the different bio fuels used at power plants.
机译:本文所述研究的目的是通过射频光谱法测量生物质燃料中的水分含量。这种方法的优点是无线电波会穿透大样本,从而给出代表整个样本的平均水分含量。该方法是快速的,并且是将来可以在线应用到容器中到达发电厂的生物质燃料的小规模版本。水分含量由传感器确定,该传感器可测量310 MHz至900 MHz频谱的衰减和相移。测量是对木屑进行的,其水分含量通常在发电厂中发生(从34%到65%)。多变量数据分析用于评估水分含量已知的样品的介电谱。我们的结果表明,可以使用射频光谱法测量木屑中的水分含量。基于锯末样本的偏最小二乘模型。水分含量在34%至60%之间。交叉验证的标准误差为0.99%,相关因子为0.99。已知介电性能也受堆积密度和温度影响。试验表明,堆积密度的影响更为重要。必须执行进一步的校准测量,以便能够对发电厂使用的不同生物燃料进行可靠的测量。

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