AI & Environment Resource HubSonabend-W, Aaron; Elkin, Carl; Dean, Thomas; Dudley, John; Ali, Noman; Blickstein, Jill; Brand, Erica; Broshears, Brian; Chen, Sixing; Engberg, Zebediah; Galyen, Mark; Geraedts, Scott; Goyal, Nita; Grenham, Rebecca; Hager, Ulrike; Hecker, Deborah; Jany, Marco; McCloskey, Kevin; Ng, Joe; Norris, Brian; Opel, Frank; Rothenberg, Juliet; Sankar, Tharun; Sanekommu, Dinesh; Sarna, Aaron; Schütt, Ole; Shapiro, Marc; Soh, Rachel; Van Arsdale, Christopher; Platt, John C. · 2024-12-20
A randomized controlled trial demonstrates that per-flight contrail avoidance in commercial aviation is feasible, reducing contrail formation by 64% using altitude adjustments based on machine learning and physics-based predictions, though with a 2% increase in fuel consumption.
Sonabend-W, Aaron; Elkin, Carl; Dean, Thomas; Dudley, John; Ali, Noman; Blickstein, Jill; Brand, Erica; Broshears, Brian; Chen, Sixing; Engberg, Zebediah; Galyen, Mark; Geraedts, Scott; Goyal, Nita; Grenham, Rebecca; Hager, Ulrike; Hecker, Deborah; Jany, Marco; McCloskey, Kevin; Ng, Joe; Norris, Brian; Opel, Frank; Rothenberg, Juliet; Sankar, Tharun; Sanekommu, Dinesh; Sarna, Aaron; Schütt, Ole; Shapiro, Marc; Soh, Rachel; Van Arsdale, Christopher; Platt, John C.. 2024-12-20. Feasibility Test of Per-Flight Contrail Avoidance in Commercial Aviation. https://www.nature.com/articles/s44172-024-00329-7 (AI & Environment Resource Hub; record paper-063; collection snapshot 2026-09-15).
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Source sheet: Scientific Paper · Row 67 · Original ID: paper-063.
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Shared topics: Cross-cutting sustainability; Energy and electricity; Transport and logistics
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Shared topics: Cross-cutting sustainability; Energy and electricity; Transport and logistics
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Shared topics: Cross-cutting sustainability; Energy and electricity; Transport and logistics
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Shared topics: Cross-cutting sustainability; Energy and electricity; Transport and logistics
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