CO2 capture from indoor air for human comfort and sequestration or reuse: a promising step toward sustainable CO2 removal

Concentration of CO 2 in an indoor environment can be four to five times higher than the outdoor air. This higher indoor concentration of CO 2 reduces the work efficiency of individuals working indoors and negatively impacts human health. However, the elevated concentration also makes it easier to capture CO 2 from indoor air. This study examines the performance of monoethanolamine (MEA) and L-arginine (Arg) solutions for indoor carbon dioxide (CO 2 ) capture through experimental screening. Key parameters evaluated include CO 2 absorption and desorption capacity, absorption kinetics, and the impact on relative humidity (RH) and total volatile organic compound (TVOC) concentrations. Two solvent formulations were employed in this study: one utilizing pure water as the solvent and the other incorporating a water-glycol mixture. The aqueous Arg solution demonstrated minimal to no detectable increase in VOC levels and exhibited lower evaporation rates than the benchmark aqueous MEA solution. Microwave (MW) heating was utilized to facilitate rapid CO 2 desorption from saturated solutions. The regeneration efficiency, solvent loss, and energy consumption were found to be dependent on the MW desorption time. Optimizing the desorption resulted in faster and almost complete regeneration, minimized solvent loss, and reduced overall energy consumption. The incorporation of glycol minimized evaporation during absorption, decreased the likelihood of complete drying during desorption, and improved solution regeneration. Cyclic absorption-desorption experiments were conducted to evaluate the long-term stability and kinetic performance of the solutions. While the aqueous MEA solution experienced significantly larger declines of 54.3% in CO 2 absorption capacity and 34.24% in absorption kinetics, the water-PG-based Arg solution demonstrated promising performance, with a smaller reduction of 31.24% in CO 2 absorption and a 2.13% decrease in kinetics after ten cycles. Additionally, the water-PG-based Arg solution resulted in lower volatile organic compound (VOC) levels and provided more effective control over relative humidity. These findings underscore the potential of the water-PG-based Arg solution for cyclic CO 2 absorption and microwave-assisted regeneration processes.

Authors

Institutions

Publication Details

Journal
Frontiers in Nanotechnology
Published
2025-02-24
DOI
https://doi.org/10.3389/fnano.2025.1525106
Citations
2
Primary Topic
Carbon Dioxide Capture Technologies
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CO2 capture from indoor air for human comfort and sequestration or reuse: a promising step toward sustainable CO2 removal

Samantha Wijewardane, D. Yogi Goswami, Krishnendu Maity, Shreyash D. Bhadirke
2 citations
Frontiers in Nanotechnology
Carbon Dioxide Capture Technologies
1.43
article

CO2 capture from indoor air for human comfort and sequestration or reuse: a promising step toward sustainable CO2 removal

Samantha Wijewardane, D. Yogi Goswami, Krishnendu Maity, Shreyash D. Bhadirke
article en
2 citations

Abstract

Concentration of CO 2 in an indoor environment can be four to five times higher than the outdoor air. This higher indoor concentration of CO 2 reduces the work efficiency of individuals working indoors and negatively impacts human health. However, the elevated concentration also makes it easier to capture CO 2 from indoor air. This study examines the performance of monoethanolamine (MEA) and L-arginine (Arg) solutions for indoor carbon dioxide (CO 2 ) capture through experimental screening. Key parameters evaluated include CO 2 absorption and desorption capacity, absorption kinetics, and the impact on relative humidity (RH) and total volatile organic compound (TVOC) concentrations. Two solvent formulations were employed in this study: one utilizing pure water as the solvent and the other incorporating a water-glycol mixture. The aqueous Arg solution demonstrated minimal to no detectable increase in VOC levels and exhibited lower evaporation rates than the benchmark aqueous MEA solution. Microwave (MW) heating was utilized to facilitate rapid CO 2 desorption from saturated solutions. The regeneration efficiency, solvent loss, and energy consumption were found to be dependent on the MW desorption time. Optimizing the desorption resulted in faster and almost complete regeneration, minimized solvent loss, and reduced overall energy consumption. The incorporation of glycol minimized evaporation during absorption, decreased the likelihood of complete drying during desorption, and improved solution regeneration. Cyclic absorption-desorption experiments were conducted to evaluate the long-term stability and kinetic performance of the solutions. While the aqueous MEA solution experienced significantly larger declines of 54.3% in CO 2 absorption capacity and 34.24% in absorption kinetics, the water-PG-based Arg solution demonstrated promising performance, with a smaller reduction of 31.24% in CO 2 absorption and a 2.13% decrease in kinetics after ten cycles. Additionally, the water-PG-based Arg solution resulted in lower volatile organic compound (VOC) levels and provided more effective control over relative humidity. These findings underscore the potential of the water-PG-based Arg solution for cyclic CO 2 absorption and microwave-assisted regeneration processes.

Frontiers in NanotechnologyVol. 7
University of South Florida (US), University of Tampa (US)
Openalex Percentile: Top 22%
Carbon Dioxide Capture Technologies
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.