973
Views
1
CrossRef citations to date
0
Altmetric
Research Article

Comparison of preparation methods for improving coke resistance of Ni-Ru/MgAl2O4 catalysts in dry reforming of methane for syngas production

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon show all
Pages 10755-10765 | Received 08 Mar 2021, Accepted 12 Oct 2021, Published online: 31 Oct 2021
 

ABSTRACT

A small loading of highly dispersed Ru on Ni/MgAl2O4 catalyst was investigated in the dry reforming of methane (DRM) process. The catalysts were synthesized by impregnation and deposition-precipitation methods; the DRM reaction was performed at CH4/CO2/N2 = 1/1/1 and 600‒750°C. The bimetallic Ni‒Ru catalysts exhibited improved reducibility and metal dispersion compared with that of the Ni catalyst. Among the synthesized catalysts, the Ru(D)/Ni(I)/MgAl2O4 catalyst had the highest metal dispersion (7.23%) and largest amount of CO2 desorption (135 μmol/g). Thus, this catalyst exhibited the highest CH4 conversion (85.6%) at 750°C. Additionally, coke deposition of only 2.69% occurred during the stability test.

Acknowledgments

This study was supported by the Ministry of Trade, Industry & Energy (MOTIE) and the Korea Institute of Energy Technology Evaluation and Planning (KETEP) of the Republic of Korea (No.20203030030080).

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed on the publisher’s website.

Additional information

Funding

This work was supported by the Ministry of Trade, Industry & Energy(MOTIE) and the Korea Institute of Energy Technology Evaluation and Planning(KETEP) of the Republic of Korea (No.20203030030080).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.