Weather-Guided Flight Trajectory Optimization for Contrail Reduction

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods and systems fail to effectively mitigate contrail formation caused by aircraft, which contribute significantly to climate change, due to limitations in computational resolution and prediction accuracy, and changing flight trajectories without proper forecasting.

Innovation Solution

A method and system that utilize weather and flight parameters to determine contrail likelihood, allowing for the alteration of flight trajectories to minimize contrail formation, validated through imagery data, and generate carbon credits for carbon footprint reduction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Object-generated harmful factors

If flight trajectories are changed to minimize contrail formation, then contrail formation is reduced, but prediction accuracy and reliability remain insufficient due to computational limitations

Engineering Contradiction:
Improvecontrail formationVSAvoidprediction accuracy
Core Design Contradiction:
Object-generated harmful factorsVSReliability

Solution Approach 1:

The system segments the flight trajectory into multiple adjustable parameters (horizontal position, vertical position, speed, altitude) that can be independently optimized. This allows granular control over flight paths to avoid contrail-prone regions while maintaining overall flight efficiency

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary contrail likelihood assessment and trajectory optimization before flight execution. By predicting contrail formation risk in advance using weather data and flight parameters, the system can pre-determine optimized trajectories that minimize contrail formation while ensuring reliable predictions through iterative validation

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If computational models use higher resolution to improve prediction accuracy, then prediction accuracy improves, but computational time increases significantly

Engineering Contradiction:
Improveprediction accuracyVSAvoidcomputational time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system applies partial action by focusing computational resources on critical trajectory parameters and contrail-prone regions rather than uniformly high resolution across all dimensions. This selective approach achieves sufficient prediction accuracy while reducing overall computational burden and time requirements

Inventive Principle:
Principle #16Partial or excessive action

3Use of energy by moving object

If engine design is improved to reduce weight and increase efficiency, then fuel efficiency improves, but cost and environmental footprint increase

Engineering Contradiction:
Improvefuel efficiencyVSAvoidengine design complexity
Core Design Contradiction:
Use of energy by moving objectVSDevice complexity

Solution Approach 1:

The system enables self-service by providing airlines and operators with accessible tools to optimize their own flight trajectories for contrail reduction. This distributes the optimization function across many individual flight operations rather than requiring centralized engine redesign, achieving aggregate fuel efficiency improvements without the complexity and cost of new engine designs

Inventive Principle:
Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Efficiently reduces contrail formation by optimizing flight paths, thereby lowering the carbon footprint and generating carbon credits, providing an effective alternative to conventional approaches.

Implementation Method 1

Condensation trails, or contrails, are typically left behind by aircraft flying at high altitudes

Methodology Applied
Scientific EffectCondensation: Condensation

Implementation Method 2

contrail formation by the aircraft is strongly dependent on the local meteorological conditions

Methodology Applied
Scientific EffectPhase change: Phase Change

Data Source

PatentUS20250259554A1Method and system for determining improved flight trajectory
Publication Date: 2025.08.14 DURANT ADAM
  • US20250259554A1 patent drawing
  • US20250259554A1 patent drawing

AI summary

A method for determining improved flight trajectory. The method includes receiving one or more weather parameters to determine contrail forecast data; receiving one or more flight parameters associated with at least one aircraft 204 to determine flight data thereof; receiving flight schedule including at least one flight plan of at least one aircraft; analyzing at least one flight plan to determine at least one navigational avoidance between at least two aircraft; determining contrail likelihood associated with at least one aircraft; altering one or more flight parameters to determine improved flight trajectory for at least one flight plan; sending at least one flight plan including improved flight trajectory to at least one aircraft; and validating improved flight trajectory using imagery data, when at least one aircraft flies according to at least one flight plan including improved flight trajectory. A system for determining improved flight trajectory.