This repository contains an Excel-based performance calculation sheet for the Airbus A320 aircraft. The sheet facilitates the determination of power profiles, fuel consumption, and other relevant metrics for arbitrary flight profiles. The tool is designed to aid in the comparative review of the suitability of alternative electric propulsion systems for similar usage scenarios.
README.md: This file provides an overview of the repository.
A320_Performance_Calculation_Sheet.xlsx: The Excel file containing the performance calculation tool. Also, includes instructions for customizing the calculation sheet for specific flight profiles.
Report.pdf: A detailed report explaining the methodology and steps involved in the performance calculations.
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Excel Calculation Sheet The Excel file A320_Performance_Calculation_Sheet.xlsx serves as the primary tool for performance calculations. Users can input various parameters related to the flight profile, such as altitude, speed, and payload. The sheet then calculates power profiles, fuel consumption, and other relevant metrics based on the provided inputs. For users wishing to tailor the calculation sheet to specific flight profiles or scenarios, refer to the customization instructions incorporated in the sheet.
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Report The Report.pdf file offers a comprehensive explanation of the methodology employed in the performance calculations. It details the various factors considered, the equations used, and the rationale behind the chosen approach. This report serves as a reference for understanding the intricacies of the performance calculation tool.
Contributions to the repository are welcome. If you have suggestions for improvements, bug fixes, or additional features, please feel free to submit a pull request.
This repository is licensed under the MIT License. You are free to use, modify, and distribute the contents of this repository for both commercial and non-commercial purposes, subject to the terms of the license.
The performance calculations provided by this tool are based on simplified models and assumptions. While efforts have been made to ensure accuracy, users should exercise caution and verify results against authoritative sources before making critical decisions based on the calculated metrics.