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Fischer-Tropsch products from biomass-derived syngas and renewable hydrogen

Gruber, Hannes; Groß, Peter; Rauch, Reinhard; Reichhold, Alexander; Zweiler, Richard; Aichernig, Christian; Müller, Stefan; Ataimisch, Nabeel; Hofbauer, Hermann

Abstract (englisch):
Global climate change will make it necessary to transform transportation and mobility away from what we know now towards a
sustainable, flexible, and dynamic sector. A severe reduction of fossil-based CO2 emissions in all energy-consuming sectors will
be necessary to keep global warming below 2 °C above preindustrial levels. Thus, long-distance transportation will have to
increase the share of renewable fuel consumed until alternative powertrains are ready to step in. Additionally, it is predicted that
the share of renewables in the power generation sector grows worldwide. Thus, the need to store the excess electricity produced
by fluctuating renewable sources is going to grow alike. The “Winddiesel” technology enables the integrative use of excess
electricity combined with biomass-based fuel production. Surplus electricity can be converted to H2 via electrolysis in a first step.
The fluctuating H2 source is combined with biomass-derived CO-rich syngas from gasification of lignocellulosic feedstock.
Fischer-Tropsch synthesis converts the syngas to renewable hydrocarbons. This research article summarizes the experiments
performed and presents new insights regarding the effects of load changes on the Fischer-Tropsch synthesis. ... mehr

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Postprint §
DOI: 10.5445/IR/1000096069
Veröffentlicht am 28.06.2019
DOI: 10.1007/s13399-019-00459-5
Zugehörige Institution(en) am KIT Engler-Bunte-Institut (EBI)
Publikationstyp Zeitschriftenaufsatz
Jahr 2019
Sprache Englisch
Identifikator ISSN: 2190-6815, 2190-6823
KITopen-ID: 1000096069
HGF-Programm 34.14.02 (POF III, LK 01)
Erschienen in Biomass Conversion and Biorefinery
Seiten 1-12
Vorab online veröffentlicht am 22.06.2019
Schlagworte Fischer-Tropsch synthesis, BtL, Energy storage, Excess electricity, ASF distribution, Economic assessment
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