Tunable Selectivity and High Efficiency of CO(2) Electroreduction via Borate-Enhanced Molten Salt Electrolysis.
Tunable Selectivity and High Efficiency of CO(2) Electroreduction via Borate-Enhanced Molten Salt Electrolysis.
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通过硼酸盐增强熔盐电解实现 CO2 电还原的可调选择性和高效率
DOI:
10.1016/j.isci.2020.101607
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发表时间:
2020-10-23
期刊:
影响因子:
5.8
通讯作者:
Wang D
中科院分区:
文献类型:
--
作者:
Hu L;Deng B;Du K;Jiang R;Dou Y;Wang D
Converting CO2 into value-added chemical fuels and functional materials by CO2 reduction reaction (CO2RR) is conducive to achieving a carbon-neutral energy cycle. However, it is still challenging to efficiently navigate CO2RR toward desirable products. Herein, we report a facile strategy to extend product species in borate-containing molten electrolyte at a positively shifted cathodic potential with a high current density (e.g. 100 mA/cm2), which can selectively electro-transform CO2 into desired products (either CO or solid carbon nanofibers, respectively reaching a high selectivity of ∼90%). The borates can act as a controller of electrolyte alkalinity to buffer the concentration of sequentially generated O2− during CO2RR, positively shifting the reduction potential of the captured CO2 and concurrently extending the product species. The sustainable buffering effect is available under CO2 atmosphere. Compared with borate-free electrolyte, the CO2 conversion efficiency is over three times higher, while the electrolysis energy consumption is decreased by over 40%. The product selectivity of CO2 reduction reaction was highly tunable Extending product species via regulating electrolyte alkalinity was achieved Borate-assisted oxygen removal was conducive to produce CO2-derived CNFs Lower energy consumption and higher CO2 conversion efficiency were achieved Chemical Engineering; Electrochemistry; Industrial Chemistry
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影响因子:
10.9
作者:
Ijije, Happiness V.;Sun, Chenggong;Chen, George Z.
通讯作者:
Chen, George Z.
DOI:
10.3891/acta.chem.scand.01-0592
发表时间:
1947-01-01
期刊:
ACTA CHEMICA SCANDINAVICA
影响因子:
--
作者:
FLOOD, H;FORLAND, T
通讯作者:
FORLAND, T
影响因子:
6.6
作者:
Deng, Bowen;Tang, Juanjuan;Wang, Dihua
通讯作者:
Wang, Dihua
影响因子:
16.6
作者:
Liu, Subiao;Lu, Xue Feng;Lou, Xiong Wen (David)
通讯作者:
Lou, Xiong Wen (David)
影响因子:
3.9
作者:
Kaplan, Valery;Wachtel, Ellen;Lubomirsky, Igor
通讯作者:
Lubomirsky, Igor