Work Package 5

Description of work:

T5.1 Review of policy instruments for implementing climate-cost-efficient routing

• Review of different CO2 equivalent (CO2e) approaches incorporating non-CO2 effects into existing policy instruments like EU ETS or CORSIA (constant CO2e factor, distance-dependent CO2e factor, location-dependent CO2e factor, etc.)
• Review of flanking policy instruments for non-CO2 effects, like climate-restricted flight altitudes, climate-charged airspaces, no-fly areas, etc.
• Key policy indicators for review:
• incentive generated for mitigating non-CO2 effects
• effectiveness of overall climate impact reduction
• ease of implementation in terms of monitoring, reporting, and verification
• high transparency and easy comprehensibility
• easy adaptability to the level of scientific understanding (consideration of the existing uncertainties)
• Deduction of specifications for integrating price-based non-CO2 policies into flight planning and trajectory optimization

T5.2 Evolving a methodology for integrating non-CO2 policies into flight planning and trajectory optimization

• Develop an algorithmic concept characterizing weather-dependent climate charges of aircraft emissions at a given location and time (4-D cost functions for climate change).
• Elaborate a monetarization logic quantifying the amount of emission certificates to be surrendered or respectively the level of emission charge/tax to be paid per climate impact of CO2, H2O, NOx and contrail-cirrus.
• Elaboratie a methodology for integration existing non-CO2 uncertainties into the calculation of algorithmic cost functions for climate change (e.g., consideration of stochastic characteristics of weather forecasts; input from WP3)
• Calculate robust algorithmic cost functions for climate change for H2O, NOx, and contrail cirrus

T5.3 Assessing the effectiveness of the policy driven flight planning approach

• Expand a direct operating cost model with climate charges (input from T5.2)
• Implement robust algorithmic cost functions for climate change and the extended DOC model into the trajectory optimization (input for trajectory optimization in WP4).
• Parametric analysis of algorithmic cost functions for climate change to generate a robust climate-sensitive flight planning
• Applly optimization results (Input from WP4) for the evaluation of the developed climate policy concept