New developed framework for breakthrough curve prediction at typical indoor levels of concentration and relative humidity

Ali Khazraei Vizhemehr*, Fariborz Haghighat, Gordon McKay

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

Adsorption-based granular activated carbon (GAC) filters are commonly used to purify indoor air by removing indoor air pollutants. The pollutants' concentrations that typically encounter in indoor environment are very low thus increases the role of humidity on the filter performance. The existing standard recommends the tests to be carried out at 100 ppm (accelerated tests), which is much higher than the actual contaminant concentrations in buildings. Therefore, there is a need to develop a framework to evaluate the performance of these technologies at low concentration. The method is based on the application of a set of isotherm and breakthrough models as a tool for extracting the data from higher concentrations and translating them into the low level concentrations. Results show that stoichiometric breakthrough times, the adsorption rate constants (in Wheeler-Jonas equation) and product constants (in Yoon-Nelson equation) are not strongly dependent on concentration, demonstrating some indicators for simulating the experiments at indoor air level conditions. Also, the overall mass transfer coefficient in the Wheeler-Jonas equation and the proportionality constant in the Yoon-Nelson equation (both as a function of adsorption capacity) are a function of humidity level.

Original languageEnglish
Pages840-847
Number of pages8
Publication statusPublished - 2014
Externally publishedYes
Event13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014 - Hong Kong, Hong Kong
Duration: 7 Jul 201412 Jul 2014

Conference

Conference13th International Conference on Indoor Air Quality and Climate, Indoor Air 2014
Country/TerritoryHong Kong
CityHong Kong
Period7/07/1412/07/14

Keywords

  • Breakthrough
  • Gas-phase filtration
  • Model
  • Relative humidity

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