Impact of Hydrogen Availability at Airports on the Potential Environmental Benefits of Hydrogen-Kerosene Dual-Fuel Business Jets Using ADS-B Data
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Business aviation’s operational flexibility is characterized by its ability to access less congested airports. This flexibility is also evident in the ability of these aircraft to carry out long-haul missions despite a high frequency of short-haul flights. This unique characteristic distinguishes business aviation from other sectors. However, with 5 to 14 times higher per-passenger emissions than commercial flights and a growing increase in business aircraft deliveries, this sector is under pressure to contribute to global net-zero emissions targets. A hydrogen-kerosene dual-fuel propulsion system offers a balanced solution by maintaining operational flexibility while significantly reducing greenhouse gas emissions. This propulsion system is designed to rely on liquid hydrogen for the most frequent missions, typically short-range flights, while retaining kerosene to maintain the long-range capability needed for less frequent but critical missions. However, the environmental benefits of this approach depend heavily on hydrogen availability at airports. Unlike commercial aviation, which operates mainly from large hubs, business aviation frequently uses smaller airports with lower traffic volumes. This network of airports represents a major challenge for the deployment of hydrogen infrastructure, as an investment in storage, refueling, and logistics infrastructure is likely to focus initially on large hubs, leaving smaller regional airfields with limited or no access. This paper investigates the impact of hydrogen availability on the environmental benefits of the dual-fuel propulsion concept applied to a super-midsize business aircraft. A statistical analysis of ADS-B flight data from a 762 different Challenger 300 aircraft fleet over one year offers insights into the airports commonly visited by business jets and their travel distances. A hydrogen deployment scenario is created in which large commercial hubs have access to hydrogen and can supply hydrogen at a nearby airport within a circle of a specified radius centered on the large commercial hub. This analysis links the hydrogen deployment scenario with the actual flight data to evaluate the potential reduction in greenhouse gas emissions from the dual-fuel concept. A performance model is applied to the operational data to calculate the energetic and environmental performance of the dual-fuel aircraft. The results indicate that the dual-fuel concept is environmentally viable at the fleet level, provided that large commercial hubs can supply hydrogen to nearby airports within a radius of 10 miles or more. However, the dual-fuel aircraft consumes 8.8% more energy than the reference aircraft for this hydrogen deployment radius. This concept could significantly facilitate the energy transition in business aviation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it