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Fischer–Tropsch refining: technology selection to match molecules

de Klerk, Arno·2008·Green Chemistry

Abstract

On a molecular level Fischer–Tropsch syncrude is significantly different from crude oil. When syncrude is treated as if it is a crude oil, its refining becomes inefficient. Refining technologies developed for crude oil can be employed to refine Fischer–Tropsch syncrude, but in order to conform to green chemistry principles (preventing waste; maximising atom economy; increasing energy efficiency) the technology selection must be compatible with the syncrude composition. The composition of Fischer–Tropsch syncrude is discussed in relation to the molecular requirements of transportation fuels and the refining gap that needs to be bridged. Conversion technologies are evaluated in terms of their refining objective, chemistry, catalysts, environmental issues, feed requirements, and compatibility to Fischer–Tropsch syncrude, in order to suggest appropriate technologies for efficient refining of Fischer–Tropsch products. The conversion technologies considered are: double bond isomerisation, dimerisation/oligomerisation, skeletal isomerisation, etherification, aliphatic alkylation, aromatic alkylation, metathesis, hydrogenation/hydrotreating, hydroisomerisation, hydrocracking, catalytic cracking, coking, thermal cracking, catalytic reforming, aromatisation, alcohol dehydration and olefin hydration.

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Metadata

Authors
de Klerk, A.
Venue
Green Chemistry
Published
2008
Volume
10
Issue
12
Pages
1249
ISSN
  • 1463-9262 (ISSN-L)
  • 1463-9270
OpenAlex
W2098400187
Cited by
175
References
0
FWCI
4.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fischer–Tropsch refining: technology selection to match molecules. https://app.cochat.ai/papers/10.1039/b813233j
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de Klerk, A. (2008). Fischer–Tropsch refining: technology selection to match molecules. Green Chemistry. https://doi.org/10.1039/b813233j

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.