TY - JOUR
T1 - A compensation algorithm to reduce humidity ratio error due to asynchronous humidity and temperature sensor time constants
AU - Chen, Wei Jen
AU - Teng, Tun Ping
N1 - Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/3
Y1 - 2021/3
N2 - Temperature and humidity sensors play a crucial role in the modern environmental control system. However, asynchronous sensor time constants may cause significant measurement errors in humidity ratio and specific enthalpy, which hinders the system operation optimization. In this study, a temperature-relative humidity sensor pair with 7 s of sensor time constant difference is tested. A sealed chamber is built as a closed-system to investigate the induced error magnitude, and a compensation algorithm is proposed to eliminate such error. Experiment results indicate that during a +10 °C/min heating process from 25 °C to 35 °C with initial humidity ratio w = 18.0 g/kg, the humidity ratio supposes to remain constant but instead rise to 28.2 g/kg, representing a maximum 57% error. By using the proposed compensation algorithm, the maximum compensated humidity ratio becomes 19.2 g/kg, corresponding to an 88.9% reduction on the maximum error. The proposed algorithm can be applied to any temperature-humidity sensor pair, showing promising potential in practical applications.
AB - Temperature and humidity sensors play a crucial role in the modern environmental control system. However, asynchronous sensor time constants may cause significant measurement errors in humidity ratio and specific enthalpy, which hinders the system operation optimization. In this study, a temperature-relative humidity sensor pair with 7 s of sensor time constant difference is tested. A sealed chamber is built as a closed-system to investigate the induced error magnitude, and a compensation algorithm is proposed to eliminate such error. Experiment results indicate that during a +10 °C/min heating process from 25 °C to 35 °C with initial humidity ratio w = 18.0 g/kg, the humidity ratio supposes to remain constant but instead rise to 28.2 g/kg, representing a maximum 57% error. By using the proposed compensation algorithm, the maximum compensated humidity ratio becomes 19.2 g/kg, corresponding to an 88.9% reduction on the maximum error. The proposed algorithm can be applied to any temperature-humidity sensor pair, showing promising potential in practical applications.
KW - Asynchronous sensor time constants
KW - Environmental control
KW - Humidity ratio
KW - Humidity sensor
KW - Specific enthalpy
KW - Temperature sensor
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U2 - 10.1016/j.buildenv.2020.107555
DO - 10.1016/j.buildenv.2020.107555
M3 - Article
AN - SCOPUS:85098848043
SN - 0360-1323
VL - 190
JO - Building and Environment
JF - Building and Environment
M1 - 107555
ER -