2021
DOI: 10.1016/j.jenvman.2021.113079
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Simulation and evaluation of sustainable climate trajectories for aviation

Abstract: In 2019, aviation was responsible for 2.6% of world CO 2 emissions as well as additional climate impacts such as contrails. Like all industrial sectors, the aviation sector must implement measures to reduce its climate impact. This paper focuses on the simulation and evaluation of climate scenarios for air transport. For this purpose, a specific tool (CAST for "Climate and Aviation -Sustainable Trajectories") has been developed at ISAE-SUPAERO. This tool follows a methodology for the assessment of climate impa… Show more

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Cited by 21 publications
(8 citation statements)
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“…Several tools were investigated to convert the previously generated emission inventory into climate change metrics, namely: Climate and Aviation Sustainable Trajectories (CAST) developed by Planès et al [48]; Model for the Assessment of Greenhouse Gas Induced Climate Change (MAGICC) developed by Meinshausen et al [49]; LinClim developed by Lim and Lee [50]; and AirClim developed by Grewe and Stenke [10]. The potential models were listed by ICAO12.…”
Section: Climate Assessment Toolmentioning
confidence: 99%
“…Several tools were investigated to convert the previously generated emission inventory into climate change metrics, namely: Climate and Aviation Sustainable Trajectories (CAST) developed by Planès et al [48]; Model for the Assessment of Greenhouse Gas Induced Climate Change (MAGICC) developed by Meinshausen et al [49]; LinClim developed by Lim and Lee [50]; and AirClim developed by Grewe and Stenke [10]. The potential models were listed by ICAO12.…”
Section: Climate Assessment Toolmentioning
confidence: 99%
“…Initially, the software was published in 2021 under the name CAST (for Climate and Aviation -Sustainable Trajectories) [19]. It allowed performing analyses on the future climate impact of air transport for various prospective scenarios, similarly to the first studies detailed in the bibliography previously.…”
Section: Previous Workmentioning
confidence: 99%
“…He et al [12] selected three influencing factors, namely, traffic volume, GDP, and energy efficiency, to establish the STIRPAT model for the civil aviation industry to carry out medium-and long-term forecasts of regional carbon emissions. Considering factors such as the population, economy, and emission reduction technology, T. Planès et al [13] and Yu et al [14] constructed the KAYA identity for civil aviation carbon emissions to predict regional carbon emissions in the medium and long term. Liu et al [15] decomposed the carbon emissions of the civil aviation industry into four influencing factors, namely, the market, operational capacity, technological progress, and alternative fuels, and combined them with the Monte Carlo simulation method to predict the medium-and long-term carbon emission trends of China's civil aviation industry.…”
Section: Introductionmentioning
confidence: 99%