Methane dehydroaromatization using Molybdenum-supported coal waste material catalyst

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Authors

Anil Chandra Kothari¹ , Akashdeep Karmakar² , Dr. Rajaram Bal¹

1. 1LSPD, CSIR-IIP, Dehradun, Uttarakhand, India 2 AcSIR, Ghaziabad, Uttar Pradesh, India
2. 1LSPD, CSIR-IIP, Dehradun, Uttarakhand, India

Conference / event

Indo-French Seminar on Catalysis for Sustainability, December 2023 (IISER-Thiruvananthapuram, India)

Poster summary

Methane is 28 times more potential greenhouse gas than CO2, and its amount in the atmosphere has been increasing yearly. The indirect ways for methane conversion include dry reforming, steam reforming, bi-reforming, tri-reforming, and partial oxidation of methane (POM). Methane dehydroaromatization (MDA) is a direct way to convert methane into aromatics. Aromatics are employed to make plastics polymers, polystyrenes and styrenic products such as SBR latex and ABS nitrobenzene production. This work utilizes a molybdenum-supported coal waste material catalyst (CWM). Here the coal waste material is the source of silica & alumina. The methane conversion is 8%, and the selectivity for the benzene is more than 85% at 700°C & GHSV 1700 mlg-1h-1 with 0.3gm catalyst. The feed ratio for the reaction CH4:N2=4:1. The coke deposition in our catalyst is 5% lesser compared to the well-known catalyst Mo/ZSM-5 for MDA reaction.

Keywords

Coal WasteMaterial, MDA, Benzene

Research areas

Material Sciences, Chemistry

References

1. Jones, H. A.; Nedwell, D. B., Methane emission and methane oxidation in land-fill cover soil. FEMS Microbiology Ecology 1993, 11 (3-4), 185-195
2. Kosinov, N. and Hensen, E.J., 2020. Reactivity, selectivity, and stability of zeolite‐based catalysts for methane dehydroaromatization. Advanced Materials, 32(44), p.2002565
3. Ahmaruzzaman, M., 2010. A review on the utilization of fly ash. Progress in energy and combustion science, 36(3), pp.327-363.

Funding

No data provided

Supplemental files

No data provided

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.

Creative Commons license

Copyright © 2024 Kothari et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.