Y-Zr-O solid solution supported Ni-based catalysts for hydrogen production via auto-thermal reforming of acetic acid
Type
ArticleAuthors
Hu, Xiaomin
Yang, Jilong
Sun, Wenjing

Wang, Ning

An, Shuang
Wang, Qiao
Zhang, Yu
Xie, Xingyue
Huang, Lihong

Date
2020-06-23Online Publication Date
2020-06-23Print Publication Date
2020-12Embargo End Date
2022-07-03Submitted Date
2020-01-15Permanent link to this record
http://hdl.handle.net/10754/664128
Metadata
Show full item recordAbstract
Auto-thermal reforming (ATR) is an effective route to extract hydrogen from both water and acetic acid (HAc) from bio-oil. With addition of oxygen into ATR, the reaction heat can be balanced, but the migration of oxygen for oxidation of carbonous species from HAc is still a concern. Here, we report NiYxZr0.85-xOy (x = 0, 0.05, 0.1, 0.2, 0.4, 0.85) catalysts with Y-Zr-O solid solution as support for hydrogen production via ATR of HAc. The oxygen vacancies provided by Y-Zr-O solid solution are beneficial to activating surface oxygen species and improve oxygen mobility of the nickel catalyst, thus the oxygen transfer from reactant to product CO and CO2 was enhanced. On the other hand, Ni nanoparticles, the active metal, are highly dispersed on the Y-Zr-O solid solution carrier. Consequently, the NiY0.2Zr0.65O1.75 catalyst exhibits the highest activity and enhanced stability: the acetic acid conversion is near 100 % and the yield of hydrogen reaches 3.0 mol-H2/mol-HAc, and no obviously coking is found after the reaction.Citation
Hu, X., Yang, J., Sun, W., Wang, N., An, S., Wang, Q., … Huang, L. (2020). Y-Zr-O solid solution supported Ni-based catalysts for hydrogen production via auto-thermal reforming of acetic acid. Applied Catalysis B: Environmental, 278, 119264. doi:10.1016/j.apcatb.2020.119264Sponsors
This work was financially supported by International Cooperation Program sponsored by Sichuan Science and Technology Program (2019YFH0181), National Natural Science Foundation of China (21276031), Guangdong Natural Science Foundation (2020A1515010490) and Youth Foundation of Science and Technology Department of Yunnan Province (Grant no. 2016FD066). The authors thank the National Supercomputing Center in Shenzhen (Shenzhen Cloud Computing Center) for providing CASTEP code in the Materials Studio 7.0 package.Publisher
Elsevier BVAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S0926337320306792ae974a485f413a2113503eed53cd6c53
10.1016/j.apcatb.2020.119264