Aircraft Contrail Forecast Validation for Radiative Forcing Reduction
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Solution Overview
Problem
Current methods to mitigate contrail formation, such as improved engine design and sustainable aviation fuels, are expensive and ineffective in reducing the net radiative forcing of contrails, which significantly contribute to global warming, and existing computational models are limited by resolution and accuracy in predicting contrail impacts on the atmospheric radiation budget.
Innovation Solution
A method and system that optimize flight trajectories by receiving weather and flight parameters to determine a contrail forecast, altering flight parameters to minimize atmospheric radiative forcing, and validating the optimized trajectory using imagery data to evaluate an offset value for greenhouse gas emissions, thereby reducing contrail formation's global warming potential.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If engine design is improved and sustainable aviation fuels are used to mitigate contrail formation, then contrail formation is reduced, but the cost increases and effectiveness in reducing net radiative forcing remains insufficient
Solution Approach 1:
The patent changes the parameters of flight operations (trajectory, altitude, speed, timing) rather than modifying engine design or fuel composition. By optimizing these operational parameters, the system reduces contrail formation and net radiative forcing without the high costs associated with engine redesign or sustainable aviation fuels.
Solution Approach 2:
The patent replaces mechanical/chemical mitigation approaches (engine design improvements, fuel changes) with a computational system that uses weather forecasting, radiative forcing calculations, and trajectory optimization algorithms to prevent contrail formation through operational adjustments.
2Measurement precision
If computational prediction models are used to estimate atmospheric radiative forcing, then prediction capability is provided, but the models are limited by horizontal and vertical resolution and require large computational times
Solution Approach 1:
The system performs preliminary weather forecasting and radiative forcing calculations before flight operations to identify optimal trajectories that minimize contrail formation. By pre-calculating these parameters and providing guidance to pilots, the system avoids the need for complex real-time computations during flight, thus reducing computational time while maintaining prediction accuracy.
Solution Approach 2:
The patent applies partial action by focusing computational resources on key parameters (weather conditions, radiative forcing, trajectory optimization) rather than attempting to model all atmospheric variables. This selective approach provides sufficient prediction accuracy for contrail mitigation without requiring excessive computational power and time.
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
This approach effectively mitigates contrail-induced climate impact by optimizing flight operations, improving prediction models, and generating an equivalent offset value to compensate for carbon dioxide emissions, providing a robust and efficient alternative to conventional mitigation measures.
Implementation Method 1
Condensation trails, or contrails, are left behind by aircraft flying at high altitudes... depending on characteristics of temperature, humidity, wind, and a stability of the air aloft
Implementation Method 2
contrails have a net warming influence (net positive radiative forcing) on the Earth's radiation budget by trapping more outgoing longwave radiation than reflecting incoming shortwave radiation
Data Source
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AI summary
Disclosed is a method for determining an atmospheric radiative forcing difference by optimising or preventing contrail formation caused by an aircraft. The method comprises receiving one or more weather parameters to determine contrail forecast data; receiving one or more flight parameters associated with aircraft to determine flight data; determining tentative atmospheric radiative forcing quantity, along tentative flight trajectory, based on contrail forecast data and flight data; altering one or more flight parameters to determine optimised flight trajectory having optimum atmospheric radiative forcing quantity, wherein optimised flight trajectory is validated using imagery data; and determining an atmospheric radiative forcing difference to evaluate offset value for at least one forcing parameter associated with atmospheric radiative forcing difference. Disclosed also is an apparatus for determining atmospheric radiative forcing caused by aircraft by optimising or preventing contrail formation. Further, disclosed is computer program product to carry out aforementioned method.