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In-Situ Fan Curve Calibration for Virtual Airflow Sensor Implementation in VAV Systems

机译:用于VAV系统中虚拟气流传感器实现的现场风扇曲线校准

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Due to high installation costs and space limitations, airflow measurements with physical meters in air-handling units (AHUs) are not adequate or/and accurate for energy efficient operations. Virtual airflow sensors that calculate airflow rate based on measurable operational data using fan curves provide a promising alternative. However, in-situ fan curves, rather than the manufacturer's fan curves, are needed for accurate airflow calculations. This paper explores a comprehensive procedure for accurate in-situ fan curve calibration in variable-air-volume (VA V) systems by addressing three technical challenges. First, the sampling time is studied to minimize the turbulence impact on the air velocity measurements. Second, for extended periods of airflow measurements using a limited number of velocity probes, the velocity distribution profile across a traverse section is evaluated. Third, in order to correct the flow rate measurement bias for volume tracking controls, a synchronized calibration between the supply air and return air fans is developed and studied. To validate this procedure, the in-situ fan head versus, airflow and efficiency versus airflow curves for both the supply and return fans of a test AHU are calibrated and compared with the manufacturer's fan curves. The investigation shows that the longer sampling time for velocity measurements can compensate for accuracy losses when the spatial traverse coverage is sacrificed. For example, for the 30 by 30 in. (0.76 by 0.76 m) duct in this study, the velocity mean by 25 sampling points on a traverse plane using a 3-second sampling time has an accuracy equivalent to that measured by three sampling points using a 60-second sampling time. A coefficient of 1.276 is identified to correct the supply fan airflow measurements based on the return side through synchronized calibrations due to a less ideal traverse plane location in the supply duct. The large discrepancy between the calibrated and manufacturer curves suggests that in-situ fan curve calibration is necessary for the implementation of virtual fan airflow sensors.
机译:由于高昂的安装成本和空间限制,使用空气处理单元(AHU)中的物理仪表进行的气流测量对于节能运行而言是不够的和/或准确的。虚拟风量传感器可以根据可测量的运行数据使用风扇曲线来计算风量,这是一个很有前途的选择。但是,为了进行精确的气流计算,需要使用原位风扇曲线而不是制造商的风扇曲线。本文通过解决三个技术挑战,探索了一种用于在可变风量(VA V)系统中进行精确的原位风扇曲线校准的综合程序。首先,研究采样时间以最小化湍流对风速测量的影响。其次,对于使用有限数量的速度探头进行的长时间气流测量,将评估横断截面上的速度分布曲线。第三,为了校正用于体积跟踪控制的流量测量偏差,开发并研究了送风和回风风扇之间的同步校准。为了验证该程序,校准了测试AHU的送风和回风风扇的原位风扇扬程,气流和效率与气流曲线,并将其与制造商的风扇曲线进行了比较。研究表明,当牺牲空间遍历覆盖范围时,更长的速度测量采样时间可以弥补精度损失。例如,对于本研究中的30 x 30英寸(0.76 x 0.76 m)风管,横向平面上25个采样点的平均速度(使用3秒采样时间)的精度等于三个采样点测得的精度使用60秒的采​​样时间由于送风管道中的理想横向平面位置较差,因此通过同步校准确定了系数1.276来根据返回侧校正送风风扇的气流测量值。校准曲线和制造商曲线之间的巨大差异表明,现场风扇曲线校准对于实现虚拟风扇气流传感器非常必要。

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  • 来源
    《ASHRAE Transactions》 |2017年第2017期|215-229|共15页
  • 作者单位

    School of Aerospace and Mechanical Engineering, University of Oklahoma, Norman, OK;

    School of Aerospace and Mechanical Engineering, University of Oklahoma, Norman, OK;

    Civil, Architectural and Environ mental Engineering Department, University of Miami, Coral Gables, FL;

    School of Aerospace and Mechanical Engineering, University of Oklahoma, Norman, OK;

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