JOURNAL ARTICLE

Advanced 2030 Single Aisle Aircraft Modeling for the Electrified Powertrain Flight Demonstration Program

Abstract

The NASA Electrified Powertrain Flight Demonstration Program is aimed at advancing electrified powertrains for future aircraft platforms through flight demonstrations for various passenger classes and power levels. The objective of this paper is to establish non-electrified reference models for 2030 aircraft with advanced technologies for the large single aisle (150 passenger) and small single aisle (100 passenger) vehicle classes. Current state-of-art aircraft are first identified and modeled using a proprietary design tool called Environmental Design Space. Next, through a comprehensive literature review, engine, airframe and composite material technologies that are expected to be available by 2030 are identified, and their respective benefits are applied to the 2030 vehicles. The engine cycle and the aircraft design are then optimized to provide the maximum fuel burn benefit while meeting all the specified aircraft requirements. While the large single aisle aircraft range requirement is kept the same as the current state-of-art aircraft, the small single aisle aircraft is optimized for a reduced range of 1000 nmi. Expected fuel burn benefit from these technologies along with any propulsive, aerodynamic and weight benefit will be summarized in this paper.

Keywords:
Aisle Powertrain Automotive engineering Airframe Engineering Aeronautics Range (aeronautics) Crew Fuel efficiency Aerospace engineering

Metrics

6
Cited By
0.82
FWCI (Field Weighted Citation Impact)
34
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Aircraft Design and Technologies
Physical Sciences →  Environmental Science →  Global and Planetary Change
Advanced Combustion Engine Technologies
Physical Sciences →  Chemical Engineering →  Fluid Flow and Transfer Processes
Rocket and propulsion systems research
Physical Sciences →  Engineering →  Aerospace Engineering
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