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Impact of Uncertainty on Prediction of Supercritical CO_2 Properties and Nusselt Numbers

机译:不确定性对超临界CO_2性质预测的影响和营养数

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The impact of measurement uncertainty on Nusselt number correlations for supercritical CO_2 is investigated. Selection of appropriate reference quantities for these correlations, such as thermal conductivity, appears to have a large effect on accurately predicting heat transfer rates. Supercritical CO_2 work heavily depends on real fluid property data, which show that fluid properties have very large gradients with respect to temperature and pressure near the critical point. The sharp gradients imply heat transfer predictions are highly sensitive to the accuracy of temperature and pressure experimental measurements in this region. Root sum of squares uncertainties at various property values indicate predictably large (on the order of 1000%) uncertainties in calculated Reynolds, Prandtl, and Nusselt numbers near the critical point. Interestingly, uncertainties remain several times the calculated value for operating pressures between 7.5 and 8.5 MPa, which are common in the experimental literature-highlighting a need for careful application of correlations near the pseudocritical line and the benefits of presenting dimensional data in the literature.
机译:研究了测量不确定性对超临界CO_2对营养数量相关的影响。对于这些相关性的适当参考量,例如导热率,似乎对准确预测传热速率具有很大的效果。超临界CO_2工作大大取决于真正的流体性质数据,表明流体特性相对于临界点附近的温度和压力具有非常大的梯度。尖锐的梯度意味着传热预测对该区域中温度和压力实验测量的准确性非常敏感。各种属性值处的平方根的根本总和表示在临界点附近计算的Reynolds,Prandtl和纽带数的预测性地大(大约1000%)的不确定性。有趣的是,不确定因素仍然是7.5和8.5 MPa之间的操作压力的计算值,这在实验文献中是常见的 - 突出了仔细应用伪关键附近的相关性以及在文献中呈现尺寸数据的效益。

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