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Production of bio-ethene and propene: alternatives for bulk chemicals and polymers

Authors: Steven Pyl; Guy B. Marin; Kevin Van Geem; Thomas Dijkmans; Marie-Françoise Reyniers; Ramin Abhari;

Production of bio-ethene and propene: alternatives for bulk chemicals and polymers

Abstract

There is an increasing trend to use bio-polyethene and bio-polypropene in Europe. However there is at present very limited production capacity available for producing the base chemicals that are used in polymerization processes. Therefore a production route for green ethene, propene and 1,3-butadiene is evaluated on a pilot plant scale starting from triglyceride and fatty acid based biomass. The first step consists of removing suspended solids, solubilized metals and phosphorus from the feedstock. The next step is catalytic hydrodeoxygenation (HDO) of the purified product to reduce oxygen to less than 0.1 wt%. Finally the HDO product is cracked into light olefins in a steam cracking pilot plant. For a coil outlet temperature of 835 °C and a steam dilution of 0.45 kg kg−1 the product yields amount to 38 wt% ethene, 20 wt% propene and 7.5 wt% 1,3-butadiene. This is significantly higher than the yields that are obtained when cracking classical fossil based naphtha under similar process conditions. Moreover, the fouling tendency of the renewable feed is also a factor of 2 smaller than that for naphtha. The pilot plant data have been used to scale up to a commercial scale steam crackers by applying a validated fundamental kinetic model, indicating the high potential of this route for producing green high value chemicals with a 20% reduction in CO2 emissions as compared to a naphtha cracker.

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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!
31
Top 10%
Top 10%
Top 10%