Relative humidity sensor compensation for a portable residential refrigeration dehumidifier

Tun Ping Teng, Wei Jen Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


Households living in humid climates commonly utilize a portable refrigeration dehumidifier to control ambient relative humidity (RH). However, the built-in sensor could potentially be heated by the waste heat released from the surrounding components inside the dehumidifier, resulting in a deviation in RH measurement that leads to improper operation. In this study, such RH deviations are confirmed primarily due to the temperature difference between the ambient and internal space of the dehumidifier, which makes placing an external temperature sensor a straightforward solution. Additionally, a multiple linear regression algorithm is proposed to compensate for the RH readings. Experiment results indicate that within the typical ambient temperature and RH range (22-26 °C and 40-70%, respectively), the deviation between ambient and measured RH can range from-2.6% (at 22 °C, 40%RH) to-9.2% (at 26 °C, 70%RH). After using the proposed multiple linear regression compensation, the deviation is reduced to a range of +0.5% (at 22 °C, 70%RH) to-0.33% (at 26 °C, 55%RH), showing a satisfying 94% deviation reduction on average. Hence, the RH deviations can be eliminated efficiently by installing an external temperature sensor or using the proposed multiple linear regression compensation. The former is more generally applicable, while the latter seems more cost-effective.

Original languageEnglish
Article number102096
JournalCase Studies in Thermal Engineering
Publication statusPublished - 2022 Jul


  • Ambient temperature
  • Multiple linear regression
  • Relative humidity
  • Residential portable refrigeration dehumidifier
  • Sensor compensation

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Fluid Flow and Transfer Processes


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