A compensation model for an NDIR-based CO2 sensor and its energy implication on demand control ventilation in a hot and humid climate

Tun Ping Teng, Wei Jen Chen*

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

5 引文 斯高帕斯(Scopus)

摘要

Non-dispersive infrared absorption spectroscopy (NDIR)-based CO2 sensors currently dominate the market for building applications. Yet, the affordable ones are frequently found to have a reading that deviates from the actual CO2 concentration, which hinders the proper operation of the demand control ventilation (DCV). This study aims to propose a compensation method to mitigate the CO2 sensor deviation due to water vapor interference. Its energy implication is simulated afterward by creating a 464 m2 office space model equipped with the DCV in EnergyPlus. Per the results of multiple standard gas experiments performed in a controlled environment, the proposed model has a coefficient of determination R2=0.899, and is able to reduce the normalized root mean square error from 8.1 % (before compensation) to 2.6 % (after compensation) for a selected NDIR CO2 sensor, showing a 67.9 % reduction. Meanwhile, the tested sensor is originally prone to underestimate the CO2 concentration, leading to less ventilation rate in DCV. As a result, there will be a 6.97 % increment in the annual ventilation electricity load of the modeled building after compensation, but in exchange for a better controlled indoor CO2 concentration that was underestimated by 3.0 to 13.1 % (on average 7.9 %) depending on zone conditions before compensation.

原文英語
文章編號112738
期刊Energy and Buildings
281
DOIs
出版狀態已發佈 - 2023 2月 15

ASJC Scopus subject areas

  • 土木與結構工程
  • 建築與營造
  • 機械工業
  • 電氣與電子工程

指紋

深入研究「A compensation model for an NDIR-based CO2 sensor and its energy implication on demand control ventilation in a hot and humid climate」主題。共同形成了獨特的指紋。

引用此