Y-Zr-O solid solution supported Ni-based catalysts for hydrogen production via auto-thermal reforming of acetic acid
KAUST DepartmentAdvanced Membranes and Porous Materials Center, Physical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
Online Publication Date2020-06-23
Print Publication Date2020-12
Embargo End Date2022-07-03
Permanent link to this recordhttp://hdl.handle.net/10754/664128
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AbstractAuto-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.
CitationHu, 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.2020.119264
SponsorsThis 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.