Summary
The main objective of REIVON is to investigate to what extent the CO2 emissions of global aviation can be reduced via an optimisation of aircraft size/range and flight network.
The project will first identify the theoretical potentials for reducing CO2 emissions via optimised aircraft, network and frequency reductions. Hereby, three alternatives for an optimised global air transport system will be considered:
1) splitting long-haul flights into shorter legs;
2) reducing frequencies to the necessary minimum; and
3) a combination of 1 and 2.
Moreover, REIVON will assess the impacts on stakeholders of an optimised global air transport system (ATS) and will analyse potential measures to establish such a system with optimised aircraft, network and frequency reductions. REIVON will make use of an integrated approach involving experts from multiple disciplines, including aircraft design and performance, airline fleet and network optimisation, aircraft emissions modelling, air traffic demand modelling as well as impact assessment on local and global level. The analytical steps are carried out in four technical work packages, and a fifth work package is involved with management. REIVON will use various databases and a range of state-of-the-art models and tools to support the analysis. The findings of REIVON will be documented in a number of scientific reports.
The project will first identify the theoretical potentials for reducing CO2 emissions via optimised aircraft, network and frequency reductions. Hereby, three alternatives for an optimised global air transport system will be considered:
1) splitting long-haul flights into shorter legs;
2) reducing frequencies to the necessary minimum; and
3) a combination of 1 and 2.
Moreover, REIVON will assess the impacts on stakeholders of an optimised global air transport system (ATS) and will analyse potential measures to establish such a system with optimised aircraft, network and frequency reductions. REIVON will make use of an integrated approach involving experts from multiple disciplines, including aircraft design and performance, airline fleet and network optimisation, aircraft emissions modelling, air traffic demand modelling as well as impact assessment on local and global level. The analytical steps are carried out in four technical work packages, and a fifth work package is involved with management. REIVON will use various databases and a range of state-of-the-art models and tools to support the analysis. The findings of REIVON will be documented in a number of scientific reports.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/101007659 |
Start date: | 01-01-2021 |
End date: | 31-10-2023 |
Total budget - Public funding: | 499 762,00 Euro - 499 762,00 Euro |
Cordis data
Original description
The main objective of REIVON is to investigate to what extent the CO2 emissions of global aviation can be reduced via an optimisation of aircraft size/range and flight network.The project will first identify the theoretical potentials for reducing CO2 emissions via optimised aircraft, network and frequency reductions. Hereby, three alternatives for an optimised global air transport system will be considered:
1) splitting long-haul flights into shorter legs;
2) reducing frequencies to the necessary minimum; and
3) a combination of 1 and 2.
Moreover, REIVON will assess the impacts on stakeholders of an optimised global air transport system (ATS) and will analyse potential measures to establish such a system with optimised aircraft, network and frequency reductions. REIVON will make use of an integrated approach involving experts from multiple disciplines, including aircraft design and performance, airline fleet and network optimisation, aircraft emissions modelling, air traffic demand modelling as well as impact assessment on local and global level. The analytical steps are carried out in four technical work packages, and a fifth work package is involved with management. REIVON will use various databases and a range of state-of-the-art models and tools to support the analysis. The findings of REIVON will be documented in a number of scientific reports.
Status
CLOSEDCall topic
JTI-CS2-2020-CfP11-TE2-01-14Update Date
27-10-2022
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