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@ARTICLE{Dahmen:826307,
author = {Dahmen, Manuel and Marquardt, Wolfgang},
title = {{M}odel-{B}ased {D}esign of {T}ailor-{M}ade {B}iofuels},
journal = {Energy $\&$ fuels},
volume = {30},
number = {2},
issn = {0887-0624},
address = {Columbus, Ohio},
publisher = {American Chemical Society},
reportid = {FZJ-2017-00540},
pages = {1109–1134},
year = {2016},
abstract = {Oxygenates derived through the selective catalytic
refunctionalization of carbohydrates of lignocellulosic
biomass can be tailored to exhibit desired physicochemical
fuel properties that unlock the full potential of advanced
internal combustion engines. Considering the fuel’s
molecular structure to be a design degree of freedom, we
present a framework for model-based fuel design that is
envisioned to guide experimental investigation toward the
most promising molecular entities. Following a
generate-and-test approach to computer-aided molecular
design, a novel rule-based generator of molecular structures
is introduced to refunctionalize and join molecular graphs
of predefined biobased intermediates in an attempt to
resemble carbon- and energy-efficient biofuel synthesis.
Computational property prediction is employed to virtually
screen the generated structures with regard to key
physicochemical fuel properties, e.g., the derived cetane
number or fuel volatility. Two case studies are dedicated to
the identification of biofuel components for use in (i)
spark-ignition and (ii) compression-ignition engines.},
cin = {VS-V},
ddc = {620},
cid = {I:(DE-Juel1)VS-V-20090406},
pnm = {899 - ohne Topic (POF3-899)},
pid = {G:(DE-HGF)POF3-899},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000370679000041},
doi = {10.1021/acs.energyfuels.5b02674},
url = {https://juser.fz-juelich.de/record/826307},
}