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Chemical Engineering Science
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Power-to-fuel conversion based on reverse water-gas-shift, Fischer-Tropsch Synthesis and Hydrocracking: Mathematical modeling and simulation in Matlab/Simulink

Authors: Hannah Kirsch; Ulrich Sommer; Peter Pfeifer; Roland Dittmeyer;

Power-to-fuel conversion based on reverse water-gas-shift, Fischer-Tropsch Synthesis and Hydrocracking: Mathematical modeling and simulation in Matlab/Simulink

Abstract

Abstract Defossilization of the transport sector must contribute to the drastic reduction of CO2 emissions within the next three decades to limit global warming. The production of synthetic liquid fuels from CO2, water, and renewable electric energy can be one option. A Power-to-Fuel process is modeled based on Reverse Water-Gas-Shift Reaction, Fischer-Tropsch Synthesis (FTS) and Hydrocracking (HC). Different process configurations are investigated - optional intermediate product separation between FTS and HC, and recycle of unreacted streams (wax, tail gas). For practical application, we suggest direct coupling of FTS and HC, as intermediate product separation improves the liquid fuel yield just by a few percent. Compact processes are particularly important for flexible small-scale plants for decentralized application in the context of the energy transition. Wax recycling improves the liquid fuel yield slightly up to 6%. Gas recycling, however, with a ratio of only 0.4 considerably improves it by almost 80%.

Country
Germany
Related Organizations
Keywords

Technology, ddc:600, 600, info:eu-repo/classification/ddc/600

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    25
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
bronze