Aerial Fuel Emissions Monitoring With Real-Time Fuel Comparison
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Solution Overview
Problem
Traditional control systems for aerial vehicles are inefficient for managing fuel emissions, relying on theoretical calculations and not accounting for real-time factors, leading to misaligned performance and efficiency goals, and human operators lack the capability to accurately estimate fuel emissions due to complex data analysis needs.
Innovation Solution
Implement a computer-implemented method for real-time fuel consumption and emissions monitoring, utilizing sustainable and conventional aviation fuel comparisons, with data displayed on an FMS and transmitted to a control station, correlating emissions with carbon offset protocols, and configuring carbon credits based on emissions data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional control systems are used for aerial vehicles, then the system structure is simple, but fuel emissions management efficiency is poor
Solution Approach 1:
The patent replaces traditional mechanical control systems with an electronic computing system that includes processors and memory devices. This computing system executes computer-implemented methods to perform real-time fuel consumption monitoring, emissions calculations, and performance optimization, thereby substituting mechanical/electrical control architecture with a software-based intelligent system that achieves superior emissions management efficiency
Solution Approach 2:
The patent introduces a computing system as an intermediary between the aerial vehicle's fuel system and the control station. This intermediary processes fuel consumption data, calculates emissions using standardized factors, and transmits information to both the vehicle display and external control stations, enabling efficient emissions management without requiring direct complex interactions between all system components
2Measurement precision
If theoretical calculations are used for fuel emissions reporting, then the measurement process is simple, but the accuracy of emissions data is poor
Solution Approach 1:
The patent implements feedback mechanisms where the computing system continuously monitors actual fuel consumption data from the aerial vehicle, compares it with flight parameters and conditions, and adjusts emissions calculations in real-time. This feedback loop ensures that emissions data accurately reflects actual operating conditions rather than relying solely on theoretical models, thereby improving measurement precision through iterative validation and correction
Solution Approach 2:
The patent dynamically changes calculation parameters based on real-time flight conditions. Instead of using fixed theoretical emission factors, the system adjusts parameters such as fuel consumption rates, engine efficiency values, and environmental correction factors based on actual flight data, altitude, temperature, and aircraft load conditions, thereby achieving accurate emissions measurements that adapt to varying operational parameters
3Measurement precision
If real-time fuel consumption monitoring is implemented, then emissions management accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent designs the computing system to perform multiple functions simultaneously: it monitors fuel consumption, calculates emissions, displays information on the aerial vehicle's display system, transmits data to external control stations, and stores records in memory devices. By consolidating these diverse functions into a single multi-functional computing platform, the system achieves real-time emissions monitoring accuracy without proportionally increasing overall system complexity
Solution Approach 2:
The patent merges the emissions monitoring, data processing, and communication functions into an integrated computing system that operates as a unified architecture. The processor, memory, display interface, and communication transceiver are combined into a single system that shares common hardware resources and software frameworks, thereby achieving real-time monitoring capabilities while minimizing the complexity increase that would result from separate dedicated systems for each function
Data Source
AI summary
Embodiments of the present disclosure are directed to providing fuel emissions monitoring and/or management for an aerial vehicle. In an example, fuel consumption data and carbon emissions data for an aerial vehicle is determined. The fuel consumption data provides a comparison between (i) first fuel consumption data associated with a first type of aviation fuel being utilized by the aerial vehicle and (ii) second fuel consumption data associated with a second type of aviation fuel that is not being utilized by the aerial vehicle. The carbon emissions data is based on (i) volume data indicative of a real-time volume of the first type of aviation fuel, (ii) a first carbon emissions factor for the first type of aviation fuel, and (iii) a second carbon emissions factor for the second type of aviation fuel. In another example, a rendering of the fuel consumption data is caused via a display.