DOI: 10.1016/j.jcou.2019.02.010
Scopus记录号: 2-s2.0-85062732374
论文题名: CO 2 capture over amine-functionalized MCM-41 and SBA-15: Exploratory analysis and decision tree classification of past data
作者: Yildiz M.G. ; Davran-Candan T. ; Günay M.E. ; Yildirim R.
刊名: Journal of CO2 Utilization
ISSN: 22129820
出版年: 2019
卷: 31 起始页码: 27
结束页码: 42
语种: 英语
英文关键词: Amine-functionalized sorbents
; Box and whisker plot
; CO 2 adsorption
; Data mining
; Decision trees
; Mesoporous silica
Scopus关键词: Adsorption
; Carbon dioxide
; Classification (of information)
; Data handling
; Decision trees
; Efficiency
; Silica
; Trees (mathematics)
; Adsorption temperature
; Amine-functionalized mesoporous silica
; Box and Whisker plots
; CO2 adsorption
; Decision tree classification
; Exploratory data analysis
; Functionalized
; Mesoporous Silica
; Data mining
英文摘要: This study aims to extract knowledge for CO 2 capture by amine-functionalized mesoporous silica (MCM-41 and SBA-15) through exploratory analysis and decision tree classification of the data reported in over 100 papers published between the years 2002 and 2017. A database containing 1039 data points showing the effects of 15 input variables (grouped in four as support properties, preparation method, amine properties and operational variables) over two performance variables as CO 2 adsorption capacity and amine efficiency (CO 2 captured/amino groups involved) was constructed. Box and whisker plots were applied (as a part of exploratory data analysis) to determine how various input variables influence the performance variables. Moreover, decision tree classification was used to determine the relative significance of the input variables and the possible combinations of these variables leading to high performance (to deduce heuristics for high CO 2 uptake). It was found from the exploratory data analysis that amine density was the most significant variable affecting the adsorption capacity whereas remaining pore volume and adsorption temperature were the most influential variables in case of amine efficiency. Furthermore, various combinations of input variables leading to high CO 2 capture performance were revealed through the decision tree analysis, all of which may be used as guidelines for future studies in this area. © 2019 Elsevier Ltd. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/117276
Appears in Collections: 气候变化与战略
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Recommended Citation:
Yildiz M.G.,Davran-Candan T.,Günay M.E.,et al. CO 2 capture over amine-functionalized MCM-41 and SBA-15: Exploratory analysis and decision tree classification of past data[J]. Journal of CO2 Utilization,2019-01-01,31