A compensation algorithm to reduce humidity ratio error due to asynchronous humidity and temperature sensor time constants

Wei Jen Chen*, Tun Ping Teng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number107555
JournalBuilding and Environment
Volume190
DOIs
Publication statusPublished - 2021 Mar

Keywords

  • Asynchronous sensor time constants
  • Environmental control
  • Humidity ratio
  • Humidity sensor
  • Specific enthalpy
  • Temperature sensor

ASJC Scopus subject areas

  • Environmental Engineering
  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Building and Construction

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