Abstract:

 The integration of robust power solutions for Radio Frequency (RF) systems on national routes is fast becoming necessary in the shift toward regional electric aviation. As the aviation sector is moving toward sustainability goals, there being reliable RF system performance at various power regimes becomes critical to operational security as well as efficiency. However, existing practices for power demand estimation often rely on static models that do not allow for the dynamic interactions among changing flight routes, weather conditions, and altering regulatory policy. These limitations lead to inaccurate predictions and ill-conceived systems that can potentially infringe on revised sustainability and operation mandates. To address these challenges, this research proposes a framework to simulate power requirements of RF systems in regional electric aircraft based on System Dynamics Modeling (SDM). SDM enables dynamic, feedback-based simulation considering policy changes, flight variability, technological advancements, and system interdependencies over the long term. By taking into account actual-time variables and regulatory constraints, the proposed method develops a more realistic and dynamic power demand model for RF systems. Such a model can be employed to architect more resilient and policy-gradable power architectures for next-generation fleets of electric aircraft. Simulation outcomes demonstrate that dynamic modeling significantly improves demand forecasting accuracy, identifies critical points of stress under new regulation, and facilitates enhanced design and policy-driven decisions. Overall, the proposed approach represents a robust approach to enhancing RF system efficiency and reliability on local routes in the context of a fast-evolving regulatory and technological landscape.