Global Fuel Analysis of Intermediate Stop Operations on Long-Haul Routes
Why this work is in the frame
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Bibliographic record
Abstract
A global system analysis with regards to fuel efficiency and its results for an operational concept for long-range operations is presented in this paper. The net effects of an Intermediate Stop Operations (ISO) concept are shown and air transportation system related questions are discussed. It can be shown that both with existing and re-designed aircraft, the fuel saving potential is in the order of 7%–15.5% on a single mission, depending mainly on aircraft design range and the geographic location of the refueling point relative to origin and destination airports. A global analysis of all Airbus A330 and Boeing 777 flights served in 2010 is performed, defining fuel-optimum intermediate airports wherever suitable. Using only today’s aircraft would possibly yield fuel savings around 1.3%. Introducing an aircraft redesigned for 3000 nm would lead to a saving of more than 11% of the fleets total blockfuel. The optimum airport location for the ISO concept is analyzed as a function of design range. Optimum airport locations are found e.g. in India, Alaska, Siberia, or Newfoundland.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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