...
首页> 外文期刊>Science and Technology for the Built Environment >Virtual measurement of the air properties in air-handling units (AHUs) or virtual re-calibration of sensors
【24h】

Virtual measurement of the air properties in air-handling units (AHUs) or virtual re-calibration of sensors

机译:空气处理单元(AHU)中的空气性能的虚拟测量或传感器的虚拟重新校准

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Heating ventilation, and air-conditioning (HVAC) systems in North America are major users of energy in commercial and institutional buildings. Although modern monitoring strategies allow for energy waste reduction and building performance optimization, the poor quality or absence of measurements may compromise those strategies. Virtual sensors can provide measurements where physical sensors are not installed (virtual measurement) or can replace the faulty sensors (virtual re-calibration). The paper presents three different methods with different goals. Method A that is based on a physically-based model is applied to virtually re-calibrate one faulty temperature sensor of outdoor air temperature. Methods B and C, which are based on data-driven models, require additional short-term measurements with portable calibrated sensors. Method B is used for the virtual measurement of two physical variables (temperature and relative humidity). Method C is used for the re-calibration of one faulty sensor. The three methods use measurements from the building automation systems (BAS) of a university building. Methods A and B effectively correct the faulty measurements of the outdoor air properties as the mean absolute error (MAE) does not exceed the correspondent uncertainty. The virtual re-calibration capability of Method C varies between the training and validation periods as a consequence of the variation of weather conditions.
机译:北美的供暖通风和空调(HVAC)系统是商业和机构建筑中能源的主要用户。虽然现代监测策略允许能量浪费和建筑性能优化,但测量的质量差或缺乏可能会损害这些策略。虚拟传感器可以提供未安装物理传感器(虚拟测量)或可以更换故障传感器(虚拟重新校准)的测量值。本文呈现了三种不同的目标。基于基于物理模型的方法A应用于几乎重新校准室外空气温度的一个故障温度传感器。方法B和C基于数据驱动模型,需要具有便携式校准传感器的额外的短期测量。方法B用于虚拟测量两个物理变量(温度和相对湿度)。方法C用于重新校准一个故障传感器。这三种方法使用大学建筑的楼宇自动化系统(BAS)的测量。方法A和B有效地校正室外空气性质的错误测量,因为平均绝对误差(MAE)不超过对应的不确定性。由于天气条件的变化,方法C的虚拟重新校准能力在训练和验证期之间变化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号