Impact of Hydrogen Availability at Airports on the Potential Environmental Benefits of Hydrogen-Kerosene Dual-Fuel Business Jets Using ADS-B Data
Notice bibliographique
Résumé
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.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».