Project Number: 010 COMPLETE
Category: Aircraft Technology Innovation, Supersonics
Georgia Tech, Purdue, and Stanford partnered to investigate the impact of aircraft and vehicle technologies on future environmental impacts of aviation. The research was conducted as a collaborative effort in order to leverage capabilities and knowledge available from the multiple entities that make up the ASCENT university partners and advisory committee. Georgia Tech partnered with Purdue University and Stanford University. The primary objective of this research project was to support the FAA in modeling and assessing the potential future evolution of the next generation aircraft fleet. Research under this project consisted of three integrated focus areas: (1) Developing a set of harmonized fleet assumptions for use in future fleet assessments; (2) Modeling advanced aircraft technologies and advanced vehicles expected to enter the fleet through 2050; and (3) Performing vehicle and fleet level assessments based on input from the FAA and the results of (1) and (2).
Due to extensive experience assessing CLEEN I, Georgia Tech was selected as the lead for all three objectives described above. Stanford and Purdue supported the objectives as shown in Table 1, listing the high-level division of responsibilities amongst the universities.
Table 1: University Contributions
| Objectives | Georgia Tech | Stanford | Purdue | |
| 1 | Harmonize Fleet Assumptions | Lead process, coordinate industry, government participation, provide basis for discussion | Support assumptions definition, provide expert knowledge | Support assumptions definition, provide expert knowledge |
| 2 | Advanced Vehicle and Technology Modeling | Use EDS for public domain technology modeling,
Provide tech models to Stanford and Purdue |
Input into public domain technology modeling | Develop cost, fuel burn, block hour values for aircraft models from Georgia Tech |
| 3 | Vehicle and Fleet Assessments | Perform vehicle and fleet level assessments using GREAT and ANGIM | Provide trade factors for mission specification changes using SUAVE. Provide tech factors for some tech modeled in (2) | Fleet-level assessments using FLEET (Fleet-Level Environmental Evaluation Tool) |
Georgia Tech led the process of conducting four surveys to collect feedback from industry, academia, and government on potential future scenarios for fleet and technology evolution. This work was performed under objective (1) and the outcome is a set of technology and fleet evolution descriptors in a format suitable for use in a wide variety of modeling tools and future analyses. Under objective (2), Georgia Tech used the EDS conceptual modeling tool to create future representative vehicles consistent with the technology evolution scenarios defined under objective (1). Finally, Georgia Tech exercised the GREAT and ANGIM toolsets under objective (3) to assess potential future fleet-wide impacts of aviation.
Stanford provided input based on its experience into applicable public domain technology modeling identified under objective (2) across the entire time horizon contemplated in this work. Stanford has also provided trade factors, resulting from redesign/resizing of all vehicle classes to account for changes in mission specification changes for a public domain mission analysis to be completed under objective (3). This task has helped to define the interfaces between Stanford’s expertise with assessing mission specification changes and Georgia Tech and Purdue’s expertise with fleet analysis.
Purdue has applied their FLEET tool under objective (3), using a subset of the fleet assumptions defined in objective (1) and public domain vehicle performance generated by Georgia Tech in prior years. This activity has demonstrated the capabilities of FLEET for assessment of fleet-level noise and emissions evolution as a result of new aircraft technologies and distinct operational scenarios.
Ongoing work focuses on two primary objectives of this effort. First, this research project is to support the FAA in modeling and assessing the potential future evolution of the next supersonic generation aircraft fleet. Work items in the supersonic aircraft evolution focus area contain four focus research areas listed below:
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- Fleet Assumptions & Demand Assessment
- Preliminary Supersonic Transport Environmental Impact Prediction
- Testing the current AEDT Ability to Analyze Existing Supersonic Models (AEDT)
- Vehicle and Fleet Assessments of Potential Future Supersonic Aircraft
In addition to the supersonic aircraft assessment objective, this work will focus on evaluating technology interdependencies between fuel burn, emissions, and noise. Projects, such as NASA’s AATT N+3 and ERA and FAA’s CLEEN I and II, have established a set of technologies and concepts for which system level analysis is needed to quantify both feasibility, benefits, and degradation associated with achieving goals established for each project. Those projects goals are aimed at reducing the environmental impact of aviation as the expected growth in aviation demand could double in the coming decades. To identify technology and vehicle solutions that meet the fuel burn, noise, and emissions goals requires the use of system-level analysis with the appropriate level of fidelity to capture interdependencies and tradeoffs between fuel burn, noise, and emissions.
Annual Reports
- 2015 Annual Report
- 2016 Annual Report
- 2017 Annual Report
- Phase 1 Final Report
- 2018 Annual Report
- 2019 Annual Report
- 2020 Annual Report
- 2021 Annual Report
- 2022 Annual Report
- 2023 Annual Report
Project Coordinator
Lead Investigators
Program Managers
Publications
- Fleet-Level Impacts of Commercial Supersonic Aircraft Models Considering a Worldwide Route Network
- Development of a Parametric Drag Polar Approximation for Conceptual Design
- Sonic Boom Over Land Avoidance and the Impact on Economic Feasibility
- Modeling Hybrid-Electric Aircraft and their Fleet-Level CO2 Emission Impacts
- A Methodology for Determining the Interdependence of Fuel Burn and LTO Noise of a Commercial Supersonic Transport
- Estimating the Reduction in Future Fleet-Level CO2 Emissions From Sustainable Aviation Fuel
- Investigating How Commercial Supersonic Aircraft Operations Might Impact Subsonic Operations and Total CO2 Emissions
- A Novel Data-driven Design Paradigm for Airline Disruption Management
- Predicting Routes for, Number of Operations of, and Fleet-level Impacts of Future Commercial Supersonic Aircraft on Routes Touching the United States
- Design Optimization of Highly-flexible Aircraft with Aeroelastic Constraints
- A Multi-fidelity Approach to Address Multi-objective Constrained Mixed-discrete Nonlinear Programming Problems with Application to Greener Aircraft Design
- Fleet-Level Environmental Assessments for Feasibility of Aviation Emission Reduction Goals
- Optimization Problem Formulation Framework with Application to Engineering Systems
- A Model of Aircraft Retirement and Acquisition Decisions Based On Net Present Value Calculations
- Fleet Level Environmental Evaluation of Emission Taxing Scheme and Biofuel: A Combined Optimization and Multi-Actor Approach
- SUAVE: An Open-Source Environment for Multi-Fidelity Conceptual Vehicle Design