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Prediction of compressed air transport properties at elevated pressures and high temperatures using simple method

机译:使用简单方法预测在高压和高温下的压缩空气传输性能

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摘要

Compressed air energy storage is a way to store energy generated at one time for use at another time. At utility scale, energy generated during periods of low energy demand can be released to meet higher demand periods. Also compressed air is a commonly used utility across most manufacturing and process ing industries as its production and handling are safe and easy. Compressed air systems are critical and play a pivotal role in the proper operation of many processing facilities since most of the instruments and controls depend on pressurized instrumentation air for operation. In this work, a simple predictive tool, which is easier than current available models involving a large number of parameters, requiring more complicated and longer computations, is presented here for the prediction of transport properties (namely thermal conductivity and viscosity) of compressed air at elevated pressures as a function of tem perature and pressure using a simple Arrhenius-type function. The proposed correlation predicts the transport properties of air for temperature range between 260 and 1000 K, and pressures up to 1000 bar (100 MPa). Estimations are found to be in excellent agreement with the reliable data in the lit erature with average absolute deviation being around 1.28% and 0.68% for thermal conductivity and vis cosity respectively.
机译:压缩空气能量存储是一种存储一次生成的能量以供另一时间使用的方法。在公用事业规模上,可以释放在低能量需求期间产生的能量以满足更高的需求时期。此外,压缩空气是大多数制造和加工行业中常用的工具,因为其生产和处理安全,容易。压缩空气系统至关重要,并且在许多处理设备的正常运行中起着举足轻重的作用,因为大多数仪器和控件都依赖于加压的仪器空气进行操作。在这项工作中,这里提供了一个简单的预测工具,该工具比涉及大量参数的当前可用模型更容易,需要更复杂和更长的计算时间,用于预测压缩空气在以下位置的传输特性(即热导率和粘度)。使用简单的Arrhenius型函数将升高的压力作为温度和压力的函数。拟议的相关性预测了温度在260和1000 K之间以及压力高达1000 bar(100 MPa)时空气的传输特性。估计与文献中的可靠数据非常吻合,热导率和粘度的平均绝对偏差分别约为1.28%和0.68%。

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