Direct Air Capture of CO₂ in Enclosed Environments: Design under Uncertainty and Techno-Economic Analysis
Abstract
CO₂ capture from enclosed environments such as commercial buildings can result in reduced ventilation, thereby leading to decreased energy loads on the HVAC systems. We propose a model which regulates the air quality inside the room by adsorption of CO₂ on monoliths coated with zeolite 13X, and water adsorption on packed beds with silica gel. We perform a modeling study and energy assessment by simulating a multi-component, multi-bed system which controls carbon dioxide level inside the room on a 24 hr basis. The results obtained indicate a 75% reduction in energy load with the CO₂ capture system as compared to the conventional ventilation system. We have identified areas of uncertainty in the model and compared non-intrusive polynomial chaos method with Monte Carlo simulations to quantify the model uncertainties. The results show improvement in computational efficiency with non-intrusive methods as compared to Monte Carlo simulations. We conclude that the CO₂ capture system can lead to improvement in building energy performance and application of polynomial chaos methods can result in reduction of computational time.
Recommended Citation
A. Sinha et al., "Direct Air Capture of CO₂ in Enclosed Environments: Design under Uncertainty and Techno-Economic Analysis," Proceedings of the 13th International Symposium on Process Systems Engineering (2018, San Diego, CA), pp. 2179 - 2184, Elsevier, Jul 2018.
The definitive version is available at https://doi.org/10.1016/B978-0-444-64241-7.50358-X
Meeting Name
13th International Symposium on Process Systems Engineering (2018: Jul. 1-5, San Diego, CA)
Department(s)
Chemical and Biochemical Engineering
Keywords and Phrases
CO2 Capture; Concentration Swing Adsorption; Monoliths; Zeolite 13X
International Standard Book Number (ISBN)
978-0-444-64241-7
International Standard Serial Number (ISSN)
1570-7946
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2018 Elsevier, All rights reserved.
Publication Date
01 Jul 2018
Comments
Volume 44 of the series Computer Aided Chemical Engineering