Journal Article FZJ-2017-00540

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Model-Based Design of Tailor-Made Biofuels

 ;

2016
American Chemical Society Columbus, Ohio

Energy & fuels 30(2), 1109–1134 () [10.1021/acs.energyfuels.5b02674]

This record in other databases:  

Please use a persistent id in citations: doi:

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.

Classification:

Contributing Institute(s):
  1. Vorstandsbereich Wissenschaft, Außenbeziehungen (VS-V)
Research Program(s):
  1. 899 - ohne Topic (POF3-899) (POF3-899)

Appears in the scientific report 2016
Database coverage:
Medline ; Current Contents - Engineering, Computing and Technology ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Article
Institute Collections > VS > VS-V
Workflow collections > Public records
Publications database

 Record created 2017-01-17, last modified 2021-01-29


Restricted:
Download fulltext PDF Download fulltext PDF (PDFA)
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)