The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Advanced Biofuels and Beyond: Chemistry Solutions for Propulsion and Production
Abstract
Sustainably produced biofuels, especially when they are derived from lignocellulosic biomass, are being discussed intensively for future ground transportation. Traditionally, research activities focus on the synthesis process, while leaving their combustion properties to be evaluated by a different community. This Review adopts an integrative view of engine combustion and fuel synthesis, focusing on chemical aspects as the common denominator. It will be demonstrated that a fundamental understanding of the combustion process can be instrumental to derive design criteria for the molecular structure of fuel candidates, which can then be targets for the analysis of synthetic pathways and the development of catalytic production routes. With such an integrative approach to fuel design, it will be possible to improve systematically the entire system, spanning biomass feedstock, conversion process, fuel, engine, and pollutants with a view to improve the carbon footprint, increase efficiency, and reduce emissions.
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Cites
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Cited by
Carbon capture and storage (CCS): the way forward
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Fruit and vegetable waste management: Conventional and emerging approaches
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An overview on performance characteristics of bio-jet fuels
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Metadata
- Authors
- Leitner, W., Klankermayer, J., Pischinger, S., Pitsch, H., & Kohse‐Höinghaus, K.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2017-04-21
- Volume
- 56
- Issue
- 20
- Pages
- 5412-5452
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2606323819
- Cited by
- 289
- References
- 13
- FWCI
- 25.82
- Type
- journal article
- Language
- en
- Open access
- closed
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- Leitner, W., Klankermayer, J., Pischinger, S., Pitsch, H., & Kohse‐Höinghaus, K. (2017). Advanced Biofuels and Beyond: Chemistry Solutions for Propulsion and Production. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201607257
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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