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Propagation of uncertainties and systematic errors in the measurements of long-lasting heat flows using differential scanning calorimetry

机译:使用差示扫描量热法测量持久热流中的不确定性和系统误差的传播

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Results from the measurement of the heat of reaction of hydrothermal carbonization by power compensated differential scanning calorimetry exhibited a comparably high experimental standard deviation of around 10–20%. The reasons for this standard deviation have been investigated and are being presented in this article. The zeroline deviation and its repeatability showed a decisive influence on the measurements due to the length of the thermal effects (several hours) and the experimental setup (high thermal capacity due to pressure capsules and hydrothermal conditions, type of calorimeter). It was quantified by reference runs and compensated mathematically. In addition, conceptual issues due to the propagation of uncertainty by sum operations are derived. There is an optimum peak length after which the uncertainty rises due to this uncertainty propagation. This optimum is at a signal level within the noise level. However, the contribution of this uncertainty showed little significance compared to the zeroline deviation and thus could be neglected. Results from hydrothermal carbonization of glucose show a mean value of 1060 J/gdaf with a standard deviation of 14% for the presented experimental setup. These values include compensations of systematic errors, including the zeroline deviation, baseline correction, leakage, and transient effects, which are discussed in detail.
机译:通过功率补偿差示扫描量热法测量水热碳化反应热的结果显示,实验标准偏差较高,约为10–20%。已对此标准偏差的原因进行了调查,并在本文中进行介绍。归因于热效应的长度(几个小时)和实验装置(由于压力容器和水热条件导致的高热容量,量热仪的类型),零线偏差及其可重复性对测量显示出决定性的影响。通过参考运行对其进行了量化,并对其进行了数学补偿。另外,得出了由于求和运算的不确定性传播而引起的概念问题。有一个最佳峰长,此后不确定性会由于不确定性的传播而增加。该最佳值处于噪声电平内的信号电平。但是,与零线偏差相比,这种不确定性的影响很小,因此可以忽略不计。葡萄糖的水热碳化结果表明,对于本实验设置,平均值为1060 J / g ,标准偏差为14%。这些值包括系统误差的补偿,包括零线偏差,基线校正,泄漏和瞬态效应,将在后面详细讨论。

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