SciTransfer
F4EClim · Project

Climate-Optimized Flight Planning to Reduce Non-CO2 Aviation Emissions

transportPrototypeTRL 3

Imagine if pilots had a weather map that showed not just storms, but where their planes create the most warming effects, like contrails. This work creates a smart calculator that helps planes pick paths that avoid these 'climate hotspots.' It's like using a GPS to find the route that is kindest to the planet, not just the shortest one.

By the numbers
20
year period for Average Temperature Response estimation
2.0
version of evolved algorithmic Climate Change Functions (aCCFs)
The business problem

What needed solving

Aviation's climate impact is not just about CO2; non-CO2 effects like contrails and ozone are significant but hard to quantify and avoid in real-time flight planning.

The solution

What was built

A prototype probabilistic surrogate model for NOx-O3 climate impacts and open-source trajectory optimization tools.

Audience

Who needs this

Commercial AirlinesAir Navigation Service ProvidersFlight Planning Software DevelopersEnvironmental Aviation Regulators
Business applications

Who can put this to work

Aviation
enterprise
Target: Airline Flight Operations Department

If you are an airline dealing with rising pressure to reduce total climate impact — this project developed flight planning algorithms that identify eco-efficient trajectories. This allows you to balance the cost of longer routes against the benefit of lower non-CO2 emissions.

Air Traffic Management
enterprise
Target: Air Navigation Service Provider (ANSP)

If you are an air traffic controller dealing with inefficient airspace usage — this project developed a MET service on climate effects. This helps you guide aircraft toward paths that minimize ozone and contrail formation.

Software Development
mid-size
Target: Flight Planning Software Vendor

If you are a software provider dealing with outdated routing tools — this project developed open-source trajectory optimization tools. You can integrate these algorithmic Climate Change Functions to offer 'green routing' as a premium feature.

Frequently asked

Quick answers

What is the cost or price for implementing these tools?

Based on available project data, no pricing or implementation costs are provided, although some trajectory optimization tools are made available open-source.

Can this be scaled to global industrial use?

The project aims to expand the geographical scope beyond the North Atlantic to different regions and seasons, suggesting a path toward global scalability.

What are the IP and licensing terms for the algorithms?

Based on available project data, the trajectory optimization tools for research applications are made available open-source to support collaborative research.

How does this help with environmental regulations?

The project introduces KPIs and recommendations to guide the adoption of eco-efficient operations and increase transparency of climate metrics.

How long does it take to see a reduction in climate impact?

The project uses a probabilistic surrogate model to estimate the Average Temperature Response over a 20 year period associated with non-CO2 effects.

Consortium

Who built it

The consortium is small and academic, consisting of 3 partners from 3 countries (DE, ES, NL). With a 0% industry ratio and a mix of 2 universities and 1 research center, the project is currently driven by scientific discovery rather than commercial deployment.

How to reach the team

Contact DEUTSCHES ZENTRUM FUR LUFT - UND RAUMFAHRT EV

Next steps

Talk to the team behind this work.

Contact us to find a commercial partner to bridge this research into a market-ready flight tool.

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