DOI: 10.1016/j.jcou.2018.09.011
Scopus记录号: 2-s2.0-85054270265
论文题名: Decision tree analysis for efficient CO2 utilization in electrochemical systems
作者: Günay M.E. ; Türker L. ; Tapan N.A.
刊名: Journal of CO2 Utilization
ISSN: 22129820
出版年: 2018
卷: 28 起始页码: 83
结束页码: 95
语种: 英语
英文关键词: Box and Whisker plot
; CO2
; Decision trees
; Electroreduction
; Exploratory data analysis
Scopus关键词: Carbon dioxide
; Copper
; Data handling
; Decision trees
; Efficiency
; Electrolytes
; Electrolytic reduction
; Information analysis
; Box and Whisker plots
; Decision tree analysis
; Electro reduction
; Electrocatalytic reduction
; Electrochemical systems
; Exploratory data analysis
; Product selectivities
; Significant variables
; Trees (mathematics)
英文摘要: In this work, a database of 471 experimental data points excerpted from 34 different publications on electrocatalytic reduction of CO2 was formed. Firstly, the database was examined by exploratory data analysis using box and whiskers plots. Then, decision tree analysis was applied to determine the significance of the variables and to reveal the conditions leading to higher faradaic efficiency, production rate and product selectivity. It was found that Cu content smaller than 71% resulted high faradaic efficiencies depending on the amount of Sn, catholyte type, applied potential and pH of electrolyte. In this case, applied potential and Cu content were found to have the highest significance among all the input variables. On the other hand, the most generalizable combination of variables leading to high level of rate occurred when the Cu content being less than 13%, using a membrane other than Selemion AMV, employing a backing layer such as TGP-H-60 and keeping the applied potential between -1.5 and -2.6 V; for which the applied potential and CO2 flow rate were determined as the highest significant variables. Finally, the most generalizable path for the case of selectivity was obtained with Sn content higher than 15% and Cu content less than 52%, which leaded to formic acid production having the highest production rates. It was then concluded that, exploratory data analysis and decision trees can provide useful information to determine the conditions leading to higher CO2- electroreduction performance that may guide the future studies in this area. © 2018 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111770
Appears in Collections: 气候减缓与适应
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作者单位: Department of Energy Systems Engineering, Istanbul Bilgi University, Eyup, Istanbul, 34060, Turkey; Department of Chemistry, Middle East Technical University, Ankara, 06800, Turkey; Department of Chemical Engineering, Gazi University, Maltepe, Ankara, 06570, Turkey
Recommended Citation:
Günay M.E.,Türker L.,Tapan N.A.. Decision tree analysis for efficient CO2 utilization in electrochemical systems[J]. Journal of CO2 Utilization,2018-01-01,28