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Biofuels Bioproducts and Biorefining
Article . 2017 . Peer-reviewed
License: CC BY
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Biofuels Bioproducts and Biorefining
Article
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Article . 2018
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Renewable hydrocarbon fuels from hydrothermal liquefaction: A techno‐economic analysis

Authors: Thomas Helmer Pedersen; Nick Høy Hansen; Oscar Miralles Pérez; Daniel Esteban Villamar Cabezas; Lasse A. Rosendahl;

Renewable hydrocarbon fuels from hydrothermal liquefaction: A techno‐economic analysis

Abstract

AbstractThis study demonstrates the economic feasibility of producing renewable transportation drop‐in fuels from lignocellulosic biomass through hydrothermal liquefaction and upgrading. An Aspen Plus® process model is developed based on extensive experimental data to document a techno‐economic assessment of a hydrothermal liquefaction process scheme. Based on a 1000 tonnes organic matter per day plant size capacity, three different scenarios are analyzed to identify key economic parameters and minimum fuel selling prices (MFSP). Scenario I, the baseline scenario, is based on wood‐glycerol co‐liquefaction, followed by thermal cracking and hydroprocessing. Results show that a minimum fuel selling price (MFSP) of 1.14 $ per liter of gasoline equivalent (LGE) can be obtained. In Scenario II, only wood is used as feedstock, which reduces the MFSP to 0.82 $/LGE. Scenario III is also based on a pure wood feedstock, but investigates a full saturation situation (a maximum hydrogen consumption scenario), resulting in a slightly higher MFSP of 0.94 $/LGE. A sensitivity analysis is performed identifying biocrude yield, hydrogen, and feedstock prices as key cost factors affecting the MFSP. In conclusion, the study shows that renewable fuels, via HTL and upgrading, can be highly cost competitive to other alternative fuel processes. © 2017 The Authors. Biofuels, Bioproducts and Biorefining published by Society of Chemical Industry and John Wiley & Sons, Ltd.

Country
Denmark
Related Organizations
Keywords

Drop-in fuels, HTL, Biofuels, Biomass

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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!
64
Top 1%
Top 10%
Top 10%
Green
hybrid