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metadata
pretty_name: SoPhAr aviation - data, results and figures
license: other
tags:
- aviation
- solar-energy
- wireless-power-transfer
- decarbonization
- flight-data
SoPhAr aviation: data, results and figures
Data, model results and figures for Solar phased-array-based wireless power transfer for commercial aviation decarbonization (T. Wang, Y. Xu, J. Byeon, J. Jiao, J. Mohammadi, K. Kockelman, C. Claudel and A. Bayen; under review at Nature Sustainability). The code is at https://github.com/BonnyWang010705/SoPhAr.
Using the dataset with the code
Download the dataset into the root of the code repository:
python download_data.py # run inside the cloned code repository
data/, results/ and figures/ then sit next to code/, where every script looks for them.
Contents (4.0 GB)
data/ — inputs
| Path | Contents | Source |
|---|---|---|
flights/raw/ |
14 monthly archives, December 2024 – January 2026 | BTS TranStats, Marketing Carrier On-Time Performance |
flights/processed/by_month/ |
one table per month (Parquet) | code/1_flight_data/2_preprocess.py |
flights/processed/flights_2025.parquet |
2025 flight table, 7,599,787 records | 3_build_annual.py |
flights/processed/flights_reference_week.parquet (and .csv) |
7–13 April 2025 (Central Time), 149,739 records | 4_reference_week.py |
flights/processed/flights_reference_week_matched.parquet |
flights whose origin and destination are in the airport file: the 148,814 flights analysed | 5_match_airports.py |
airports/airport_data.geojson |
USA Airports | Esri, ArcGIS |
solar_farms/uspvdb_v3_0_20250430.geojson |
United States Large-Scale Solar Photovoltaic Database | Lawrence Berkeley National Laboratory, U.S. Geological Survey |
US_boundaries/ |
state (1:20M) and county (1:500k) cartographic boundaries, 2023 | U.S. Census Bureau |
results/ — model outputs
| Path | Contents |
|---|---|
baseline/ |
system model at 12,100 m (reference) and at 9,100 and 15,100 m: one row per eligible flight (86,084 at 12,100 m) and one row per qualified solar farm (438); Supplementary Tables 1–7 |
baseline/route_maps/ |
route maps of the eligible flights by range class (Fig. 3b–d) |
optimization_1/ |
flight schedule optimization at the three altitudes, with the optimized shift of each flight; Supplementary Tables 8–14 |
optimization_2/Optimization_2_Results_R1/ |
farm-and-flight choice optimization: selected farms and flights in each of the 100 penetration scenarios (solar_results_* and flight_results_*) |
optimization_2/Optimization_2_summary_R1.csv |
totals of each scenario (Supplementary Table 15) |
optimization_2/penetration_state_totals.csv |
state totals of each scenario, for Supplementary Figs. 14–23 |
optimization_2/route_maps/ |
route maps of the selected flights in each scenario (flight_map_*), for Supplementary Figs. 14–23 and Fig. 8a |
sensitivity/R1_Sensitivity_Tables.xlsx |
sensitivity analyses of Supplementary Notes 7–10 (Supplementary Figs. 33–37) and the model assumptions |
representativeness/ |
weekly measures over 2025 (Supplementary Note 1 and Supplementary Fig. 1) |
figures/ — paper figures
| Path | Contents |
|---|---|
main/fig02_solar_farm_analysis/ … main/fig06_market_penetration/ |
Figs. 2–6 of the article (PNG and PDF), each with its panels in panels/ |
main/fig07_solar_farm_selection/, main/fig08_flight_selection/ |
Figs. 7–8 of the arXiv version, redrawn with the R1 results, each with its panels in panels/ |
supplementary/fig01_representativeness/ |
Supplementary Fig. 1 |
supplementary/fig02_state_rankings/ |
Supplementary Fig. 2, with its panels a–f in panels/ |
supplementary/fig03_selection_frequency/ |
Supplementary Fig. 3 |
supplementary/fig04_23_penetration/ |
Supplementary Figs. 4–13 (farm selection: maps and scatter plots) and 14–23 (flight selection: maps and bar charts), two images each |
supplementary/fig24_29_case_studies/ |
Supplementary Figs. 24–29, solar farm case studies (farms 230 and 4746) |
supplementary/fig30_31_flight_case_study/ |
Supplementary Figs. 30–31, flight case study |
supplementary/fig32_37_sensitivity/ |
Supplementary Figs. 32–37 |
Fig. 1 (a schematic) is not included.
Sources and licenses
The inputs are redistributed under the terms of their sources:
- BTS On-Time Performance, U.S. Department of Transportation: public domain.
- United States Large-Scale Solar Photovoltaic Database, LBNL and USGS: public domain.
- Cartographic boundary files, U.S. Census Bureau: public domain.
- USA Airports, Esri: subject to Esri's terms of use.
License of the results and figures: to be decided.
Citation
To be added on publication.