Joule-heated regenerable carbon dioxide capture filter for demand-controlled ventilation in indoor applications

Carbon dioxide (CO2) plays a key role in indoor air quality and is traditionally managed through ventilation, which often increases energy consumption. This work proposes a demand-controlled ventilation system integrated with a CO2 filter to reduce both indoor CO2 levels and ventilation-related energy use. The modular CO2 capture filter was manufactured by spray-coating an amine-functionalized solid sorbent onto a carbon fiber substrate, enabling rapid thermal regeneration via Joule heating within 15 min at 100 °C. System-scale operation was optimized using Differential Evolution, and a deep neural network was employed as a surrogate model to rapidly approximate the optimized control parameters across varying indoor conditions. Simulation-based analysis indicates the proposed system could lower energy loads by about 14.9–25% compared to conventional systems, while maintaining indoor CO2 at 600 ppm under various outdoor conditions. This work establishes an implementation pathway spanning material characterization, lab-scale tests, and model-based system-level analysis. The study develops a carbon fiber carbon dioxide filter coated with amine-functionalized silica and regenerates it by electrical Joule heating (95% desorption in 15 minutes at 100 degrees Celsius). Simulations optimize control and estimate 14.9–25% ventilation energy savings.

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Publication Details

Journal
Nature Communications
Published
2026-10-03
DOI
https://doi.org/10.1038/s41467-026-78257-7
Primary Topic
Carbon Dioxide Capture Technologies
Type
article
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article

Joule-heated regenerable carbon dioxide capture filter for demand-controlled ventilation in indoor applications

Sam Sukgoo Yoon, Jungwoo Huh, Yong Tae Kang, Joo Young Shin et al.
Nature Communications
Carbon Dioxide Capture Technologies
article

Joule-heated regenerable carbon dioxide capture filter for demand-controlled ventilation in indoor applications

Sam Sukgoo Yoon, Jungwoo Huh, Yong Tae Kang, Joo Young Shin, Youngdeog Koh, Bryan S Kim, Minjae Kim, Seonggon Kim, Hoon Wee, Jae Won Lee, Gil Jung
article en

Abstract

Carbon dioxide (CO2) plays a key role in indoor air quality and is traditionally managed through ventilation, which often increases energy consumption. This work proposes a demand-controlled ventilation system integrated with a CO2 filter to reduce both indoor CO2 levels and ventilation-related energy use. The modular CO2 capture filter was manufactured by spray-coating an amine-functionalized solid sorbent onto a carbon fiber substrate, enabling rapid thermal regeneration via Joule heating within 15 min at 100 °C. System-scale operation was optimized using Differential Evolution, and a deep neural network was employed as a surrogate model to rapidly approximate the optimized control parameters across varying indoor conditions. Simulation-based analysis indicates the proposed system could lower energy loads by about 14.9–25% compared to conventional systems, while maintaining indoor CO2 at 600 ppm under various outdoor conditions. This work establishes an implementation pathway spanning material characterization, lab-scale tests, and model-based system-level analysis. The study develops a carbon fiber carbon dioxide filter coated with amine-functionalized silica and regenerates it by electrical Joule heating (95% desorption in 15 minutes at 100 degrees Celsius). Simulations optimize control and estimate 14.9–25% ventilation energy savings.

Nature Communications
Korea University (KR), Korea Maritime and Ocean University (KR), Samsung (South Korea) (KR), Samsung Electronics (South Korea) (KR), Sungkyunkwan University (KR)
Openalex Percentile: Top 21%
Carbon Dioxide Capture Technologies
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