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Design, techno-economic evaluation, and optimisation of renewable methanol plant model: Finland case study

Emebu, Samuel; Mendoza-Martinez, Clara; Omoregbe, Osaze; Mankonen, Aleksi; Ogbuoji, Ebuka A.; Shaikh, Ibrahim; Pettersen, Even; Kubalčík, Marek; Okieimen, Charity (2023-05-19)

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emebu_et_al_design_techno-economic_evaluation_publishers_version.pdf (4.332Mb)
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Publishers version

Emebu, Samuel
Mendoza-Martinez, Clara
Omoregbe, Osaze
Mankonen, Aleksi
Ogbuoji, Ebuka A.
Shaikh, Ibrahim
Pettersen, Even
Kubalčík, Marek
Okieimen, Charity
19.05.2023

Chemical Engineering Science

278

Elsevier

School of Energy Systems

https://doi.org/10.1016/j.ces.2023.118888
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2023062864874

Tiivistelmä

The current global energy crisis, emphasises the need to simultaneously reduce fossil energy consumption, accelerate renewable energy development, and mitigate global warming, which may arise from situations of dirtier fuel usage. Consequently, this work highlights how captured carbon dioxide from fossil power and manufacturing plants, together with hydrogen purportedly produced via water electrolysis (powered by residual energy from fossil and renewable power plants), can be used to synthesize methanol. Therefore, a methanol plant model was proposed and designed. Multivariable regressions for the plant model were developed and optimised. Furthermore, deduced optimal were used to develop a Langmuir-Hinshelwood-Hougen-Watson (LHHW) kinetic equivalent to the Gibbs reaction model used in the simulation. Also, the plant cost analysis was performed at the optimal, and hydrogen cost was found to constitute the highest manufacturing cost component, hence the cost-determining factor of the plant. Finally, cost-to-size models for various cost components were also deduced.

Lähdeviite

Emebu, S., Martinez, C. M., Omoregbe, O., Mankonen, A., Ogbuoji, E. A., Shaikh, I., ... & Okieimen, C. (2023). Design, techno-economic evaluation, and optimisation of renewable methanol plant model: Finland case study. Chemical Engineering Science, 278, 118888. DOI: 10.1016/j.ces.2023.118888

Alkuperäinen verkko-osoite

https://www.sciencedirect.com/science/article/pii/S000925092300444X?via%3Dihub
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