- Introduction: Sustainable Aviation Fuels: A 30,000 Foot Perspective
- 1: Overview of the Current Aviation Landscape
- 2: Advancements in Aircraft Technology and Operations
- 3: The Role of Sustainable Aviation Fuels
- 4: Developing Electricity Grids
- 5: Regulatory and Policy Frameworks
- 6: Addressing Economic Challenges in SAF Adoption
- 7: Concluding Remarks
- 8: Appendices
- 9: Abbreviations
- 10: Bibliography
SAF PATH PROMOTION
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Appendix A: Data Sources For Comparative Analysis of Crop Yields and Biofuel Production Potentials
US Farm Land [54]
US Land Area [53]
Appendix B: Data Sources for Ft and HEFA Technologies: SAF Yield and Feedstock Potential in the USA
Appendix C: Data Sources For ATJ Technology: SAF Yield and Feedstock Potential [52] in the USA
* Based on 40% oil content of seed and applying ICAO Rule of Thumb Assumptions of SAF HEFA yield from Soybean.
** Based on 25% removal of agriculture residue, leaving 75% to maintain yields and soil fertility.
*** Calculations of forest residue per acre are based on the conversion of the average availability from 26 dry metric tons/ha, with the
unit conversions of 1 hectare to 2.47105 acres. It is assumed that 70% of the forest residue can be sustainably extracted for bioenergy purposes, while the remaining 30% is left to ensure soil rejuvenation.
**** For every tonne of dry switchgrass processed, 0.13 t of FT product is produced, of which 0.768 t is SAF. Thus, SAF yield from
switchgrass is approximately 0.09984 t (or 99.84 kg) per tonne of dry switchgrass.
? Based on ethanol without our own conversion to SAF.
‡ Although the U.S. is used as a reference for land mass, most of the U.S. has an unsuitable climate for oil palm production.
§ Applying ICAO Rule of Thumb Assumptions of SAF HEFA yield from Soybean.
¤ Algae-based feedstock is currently at an early stage of development and has not yet undergone comprehensive real-world application trials. Despite its inherent potential as a sustainable fuel source, the effectiveness and scalability of algae for SAFs require empirical validation in practical settings.