System Integration Study for a Hybrid-Electric Commuter Aircraft Concept with a Solar Auxiliary Power System
Bibliographic record
Abstract
Commuter and regional aircraft are promising candidates as testbeds for technologies that aim to reduce emissions. Among these technologies, the electrification of the propulsion system and the subsystem architectures is a potential research avenue. However, to find promising candidate architectures, particularly in a retrofitting context, multiple design disciplines must be considered in combination with systems integration. This paper investigates the retrofitting of the Dornier 228 regional commuter aircraft with a combination of hybrid-electric propulsion, more-electric subsystems, and an auxiliary solar power system, using a conceptual multidisciplinary design analysis and optimization (MDAO) framework. It includes an auxiliary solar power system sizing and performance analysis tool, which allows the analysis of power generated by aircraft-mounted solar panels and the associated impact on aircraft weight and mission fuel burn. The sensitivity of such a system concept to solar panel technology, aircraft operation, and available solar radiation is explored in conjunction with system electrification and hybridization of the propulsion system. Systems integration and safety considerations are also studied. The authors first present a step-by-step evaluation of the effect of propulsion hybridization, system electrification, and the solar power system individually on the aircraft performance and emissions profile. The impact of the combination of these three technologies is assessed on the aircraft mission fuel burn and CO2 emissions. Finally, this paper provides insights into the viability of such a combined system for commuter aircraft missions, investigates how each system contributes to the overall fuel burn reduction at the aircraft level and explores the management of battery weight by using the electric component of the hybrid-electric power train in specific combinations of flight phases.
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How this classification was reachedexpand
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".