Generating Scenarios for Air Transport Sustainability
- Hilda Karam
- E. Anwama
- Innocent E. Davidson
- Fabio Krikhtine
- Hamdan Alfazari
- Félix Mora-Camino
Durban University of Technology · Universidade Federal do Rio de Janeiro (UFRJ) · Sohar University · École Nationale de l'Aviation Civile (ENAC)
- Event
- XIX SITRAER – São José dos Campos, SP, Brasil, October 25–27, 2022
- Volume
- Proceedings of SITRAER 2022 – Air Transportation Symposium · ISSN 2448-1912
- Pages
- 620–626
- Publisher
- Sociedade Brasileira de Pesquisa em Transporte Aéreo (SBTA)
- Editors
- Giovanna Miceli Ronzani Borille, Rogéria de Arantes Gomes, Evandro José da Silva, Mauro Caetano, Cláudia Azevedo Pereira
Abstract
This study addresses the issue of the aviation sustainability for the next decades. A modelling approach considering the World air transportation sector is developed by taking into account the potential contribution of air transport to fuel consumption and to environment impacts along a timeline of several decades. It is considered that to reach audacious sustainability objectives, new aeronautical technologies must be developed while air transport operations must be permanently improved through optimization. This should result in huge needs for investment in R&D from aeronautical manufacturers and for equipment by air transport operators (airlines fleets, airport infrastructures) and questions such as what, how much and when should be answered. The proposed framework allows levels of detail (air transport services, aircraft types and technologies) compatible with strategic decision making aimed at producing the supply necessary to meet the demand in air transport services while meeting sustainability objectives. Once informed this framework will allow either the test possible coherent solution scenarios through simulation or to formulate global optimization decision making problems with respect to R&D investment in civil aeronautics, air transport operators fleet renewal and airport upgrading.
Keywords: Aviation Sustainability; Energy; Environment Impacts; Systems Analysis; Modelling; Fuzzy Sets