Network Design Optimization for Regional Electric Aviation in Northern Scandinavia

This study conducts a computational analysis to assess the feasibility of electric regional air networks in Northern Scandinavia, leveraging an Integrated Flight Scheduling and Fleet Assignment Network Optimization Model for integrating electric-powered aircraft within Public Service Obligation (PSO) frameworks. Utilizing Matlab for model development and Gurobi for optimization, the research focuses on minimizing operating costs in compliance with PSO requirements. It thoroughly examines operational needs, cost implications, and the effects of electric aircraft on regional connectivity and emissions. Special attention is given to the model’s sensitivity regarding electric aircraft charging times and to exploring network restructuring possibilities for improved efficiency. This work contributes significantly to discussions on sustainable regional air transport, offering a novel computational method to evaluate electric aviation’s viability and economic potential in areas with sparse populations.