Ni-N掺杂多孔碳在太阳能驱动下电催化还原CO2成CO的研究

大学化学 Pub Date : 2020-01-01 DOI:10.3866/pku.dxhx201912044

Ding Shaosong, Y. Tong, Wang Xingpu, Gao Jian’an, Z. Ying

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引用次数: 0

摘要

通过使用可再生清洁能源，将二氧化碳电还原成增值化学品和燃料已引起广泛的兴趣，因为它既可以缓解全球变暖，又可以完成碳循环。本文以冻干法制备的蛋白胨、NiCl 2和NaCl为原料，通过热解制备了高性能的Ni-N掺杂多孔碳催化剂。在−0.66 V (vs)下，ni - n掺杂多孔碳催化剂具有良好的CO 2电还原性能，法拉第效率为92.0%。RHE)， 550 mV过电位和2.5 mA·cm−2电流密度。催化剂的催化性能主要取决于Ni-N活性位点和多孔结构。此外，利用太阳能连续电还原co2为CO，可为未来碳循环提供有价值的参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Ni-N Doped Porous Carbon for Electrocatalytic Reduction of CO2 into CO Driven by Solar Energy

: The electroreduction of CO 2 into value-added chemicals and fuels has garnered a broad interest by using renewable clean energy, due to both alleviating global warming and completing the carbon cycle. Herein, a high-performance Ni-N doped porous carbon catalyst was prepared through pyrolysis of hydrogen containing peptone, NiCl 2 , and NaCl made by a freeze dry method. The Ni-N-doped porous carbon catalyst displayed an excellent performance of CO 2 electroreduction with a Faraday efficiency of 92.0% at − 0.66 V ( vs . RHE), 550 mV overpotential ， and 2.5 mA · cm − 2 current density. The catalytic performances were attributed to the Ni-N active sites and porous structures. In addition, CO 2 electroreduction to CO was performed continuously by using solar energy, which may provide a valuable reference for carbon cycle in future.

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来源期刊

大学化学

自引率

0.00%

发文量

5852

期刊介绍： University Chemistry is an educational research academic journal supervised by the Ministry of Education and co-sponsored by Peking University and the Chinese Chemical Society. It was founded in 1986 and changed to a monthly publication in January 2016. Its purpose is to promote and deepen the reform of university chemistry education and serve to improve the level of chemistry teaching in my country. The main columns are: Today's Chemistry, Teaching Research and Reform, Knowledge Introduction, Chemical Experiments, Teacher-Student Chats, Future Chemists, etc. The journal has been included in many databases such as China Journal Network Full-text Database, Wanfang Database, Taiwan Huayi Database, Chinese Science and Technology Journal Database (Full-text Edition), and American Chemical Abstracts.