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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM25973

Optimization of Methanol Synthesis

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM25973

Volume:

7 |

10 |

Oct 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SS

Sunil Sable

AP

Akshay Paithankar

GP

Ghanshyam Pandey

SP

Suraj Pathan

OD

Omkar Deshmane

DP

Devashish Padghan

HM

Harsh Mule

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Abstract

This One of the greenhouse gases that can contribute to global warming is carbon dioxide (CO2). Modern research indicates that methanol should be regarded as a good product to tackle the issue of CO2 emissions due to its use in various petroleum-based liquid fuels. Here, a simulation of a process to produce methanol from hydrogenated CO2 is run. Methanol is created by reacting hydrogen with carbon dioxide in the synthesis gas in a plug flow reactor (PFR). The literature on the conventional syngas process has been extensively reviewed, and in order to make the CO2 hydrogenation method of producing methanol a competitive process, the best operating conditions with the lowest possible production costs are taken into account. Because it employs CO2 obtained from thermal plants, stacks, etc. as the raw material helping to reduce CO2 emissions, this novel technique can be regarded as environmentally friendly. This thesis investigated the use of several design variables to optimise the synthesis of methanol by CO2 hydrogenation. Maximising the profit from methanol production was the optimization’s primary goal.

KEYWORDS

Carbon dioxide hydrogen Hydrogenation

Cite This Article

Sunil Sable, Akshay Paithankar, Ghanshyam Pandey, Suraj Pathan, Omkar Deshmane, Devashish Padghan, Harsh Mule, "Optimization of Methanol Synthesis," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 10, Oct 2023. https://doi.org/10.55041/IJSREM25973

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Publication Date

10/15/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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