Abstract
Sustainable aviation fuel (SAF) plays an important role in decarbonizing the aviation sector. The ASTM D7566 dictates several pathways to produce sustainable fuels that share the same characteristics as the conventional jet fuel. One of the common pathways to produce SAF is via the gasification of biomass to generate syngas. In this work a model was developed for the process to evaluate the use of different biomass sources on the SAF yield. Moreover, the influence of the measurement uncertainty in the biomass characteristics on the process performance was investigated. The study has shown that the hydrogen content is the most crucial element in the biomass to obtain a higher SAF yield. On the other hand, the uncertainty of the biomass characteristics such as the moisture content causes a 1.5% variation in the final SAF yield. Such analysis shows the urge for an accurate and reliable measurement of the biomass characteristics, this allows for a structural embedding of the uncertainty while making decisions during the process design and evaluation stage.
Original language | English |
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Title of host publication | 33rd European Symposium on Computer Aided Process Engineering |
Publisher | Elsevier |
Pages | 2089-2094 |
Number of pages | 6 |
Volume | 52 |
DOIs | |
Publication status | Published - 18 Jul 2023 |
Event | 33rd European Symposium on Computer Aided Process Engineering, ESCAPE 2023 - Athens, Greece Duration: 18 Jun 2023 → 21 Jun 2023 Conference number: 33 |
Publication series
Name | Computer Aided Chemical Engineering |
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Volume | 52 |
ISSN (Print) | 1570-7946 |
Conference
Conference | 33rd European Symposium on Computer Aided Process Engineering, ESCAPE 2023 |
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Abbreviated title | ESCAPE 2023 |
Country/Territory | Greece |
City | Athens |
Period | 18/06/23 → 21/06/23 |
Keywords
- biomass characteristics
- Biomass gasification
- sustainable aviation fuel
- NLA