275
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Can carbon dioxide be a good indicator for formaldehyde in residences?—Monte Carlo modeling for a whole year

, , &
Pages 749-762 | Published online: 02 Mar 2020
 

Abstract

Indoor air quality (IAQ) plays a significant role in human health, and CO2 has a long history of use as an IAQ indicator. Formaldehyde is one of the most ubiquitous indoor pollutants with proven adverse health effects. However, formaldehyde sensors are generally expensive, and they are not as accurate as CO2 sensors. Thus, it is important to determine whether CO2 could be used as an indicator for formaldehyde in engineering applications. In this study, indoor CO2 and formaldehyde concentrations in actual Chinese residences under natural and mechanical ventilation were simulated by the Monte Carlo method. The Pearson correlation analyses were also performed. It was found that when emission rate of CO2 is constant, CO2 can act as a good indicator for formaldehyde when the formaldehyde emission rate (mg/h) divided by the emission rate of CO2 (L/h) is smaller than 0.14 and positive correlation occurred between them. However, when the emission rate of CO2 is varied, CO2 may not be used as an indicator for formaldehyde despite their positive correlation.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China under Grant number 51708277 and 51678287, and Natural Science Foundation of Jiangsu Province under Grant number BK20170646.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 78.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.