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CO2 absorption performance enhancement by dodecane nanoemulsion absorbents

Authors
Kim, SeonggonXu, RonghuanLee, WonhyeokChoi, Chang KyoungKang, Yong Tae
Issue Date
3월-2019
Publisher
ELSEVIER SCI LTD
Keywords
CO2 absorption; Dodecane; Mass transfer enhancement; Nanoemulsion absorbents; Shuttle effect model
Citation
JOURNAL OF CO2 UTILIZATION, v.30, pp.18 - 27
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF CO2 UTILIZATION
Volume
30
Start Page
18
End Page
27
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/67124
DOI
10.1016/j.jcou.2019.01.002
ISSN
2212-9820
Abstract
Among the CO2 capture technologies, the physical absorption is one of the most common absorption methods. However, the physical absorption process is operated at extremely low temperature, and therefore huge freezing energy is required. The objective of this study is to develop the nanoemulsion absorbents that can be operated at room temperature. The nanoemulsion absorbents are prepared by the ultrasonication method. Based on the chemical properties, Span 60 and Tween 60 are added to maintain a good dispersion stability. CO2 absorption experiments using a porous nozzle absorber are conducted for various dodecane concentration (0.005-0.5 vol%) and CO2 flow rate (0.06-0.12 g/s). It is found that the CO2 absorption performance of 0.05 vol% nanoemulsion absorbents is 10% higher than that of pure methanol. Through the single CO2 bubble absorption visualization experiments, it is confirmed that the nanoemulsion absorbents cause faster bubble absorption than pure methanol does. The turbidity index (Nephelometry turbidity unit) of nanoemulsion absorbents is kept constant for seven days, which means a good dispersion stability. The enhancement mechanism of CO2 absorption is explained based on the Einstein-Stokes' equation, cryogenic transmission electron images, and droplet size measurements. The key idea is that nano-sized dodecane (64 nm) absorbs the CO2 molecules and transports it to the bulk region by the Brownian diffusion. A random walk model is used to investigate the droplet size prediction and CO2 absorption performance enhancement.
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