Modeling the Removal of Water-Soluble Trace Gases from Indoor Air via Air Conditioner Condensate

Water-soluble trace gas (WSTG) loss from indoor air via air conditioning (AC) units has been observed in several studies, but these results have been difficult to generalize. In the present study, we designed a box model that can be used to investigate and estimate WSTG removal due to partitioning to AC coil condensate. We compared the model output to measurements of a suite of organic acids cycling in an indoor environment and tested the model by varying the input AC parameters. These tests showed that WSTG loss via AC cycling is influenced by Henry's law constant of the compound in question, which is controlled by air and water temperatures and the condensate pH. Air conditioning unit specifications also impact WSTG loss through variations in the sensible heat ratio, the effective recirculation rate of air through the unit, and the timing of coil and fan operation. These findings have significant implications for indoor modeling. To accurately model the fate of indoor WSTGs, researchers must either measure or otherwise account for these unique environmental and operational characteristics.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:55

Enthalten in:

Environmental science & technology - 55(2021), 16 vom: 17. Aug., Seite 10987-10993

Sprache:

Englisch

Beteiligte Personen:

Schwartz-Narbonne, Heather [VerfasserIn]
Abbatt, Jonathan P D [VerfasserIn]
DeCarlo, Peter F [VerfasserIn]
Farmer, Delphine K [VerfasserIn]
Mattila, James M [VerfasserIn]
Wang, Chen [VerfasserIn]
Donaldson, D James [VerfasserIn]
Siegel, Jeffrey A [VerfasserIn]

Links:

Volltext

Themen:

059QF0KO0R
Air conditioner
Coil condensate
Cooling
Dehumidification
Gases
Indoor air
Journal Article
Modeling
Organic Chemicals
Partitioning
Research Support, Non-U.S. Gov't
Water
Water-soluble trace gases

Anmerkungen:

Date Completed 08.09.2021

Date Revised 08.09.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1021/acs.est.1c02053

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM328874574