Elham Soufiani, Mehrdad Pirnia · 2026-06-26
The paper builds a mathematical optimization model (mixed-integer linear programming) to plan how a regional airline could switch from conventional to electric aircraft over time, balancing fleet purchases, charging infrastructure, service coverage, budget, and emissions targets. Applied to Helijet's short-haul network in British Columbia, it finds electrification could cut emissions by over 70% within five years while staying economically viable, but that fleet capacity and operations — not charging infrastructure — become the main bottleneck, leaving some demand unmet.
Why it matters: For anyone analyzing regional aviation operators or clean-transport transitions, this illustrates that the binding constraint on electrification may be aircraft/fleet capacity and scheduling rather than charging stations. It offers a structured way to think about the timing and cost-feasibility of fleet transitions, though it is a single-case planning study, not a market or return forecast.
⚠ This is a single real-world case study using an optimization model with assumed policy and cost constraints, not a validated financial or market outcome.
This paper presents a multi-period mixed-integer linear programming (MILP) framework for planning the transition from conventional to electric aircraft in regional aviation. The model jointly optimizes fleet acquisition, infrastructure deployment, and service allocation over time, while accounting for policy constraints such as emissions reduction targets, electric service share, and budget limits. A real-world case study based on Helijet's short-haul network in British Columbia demonstrates the applicability of the model. The results show that electrification can reduce emissions by more than 70\% within five years while remaining economically viable. However, the transition is primarily limited by the capacity of the fleet and operational structure, rather than the charging infrastructure, leading to unmet demand under direct aircraft replacement. These findings emphasize the need for coordinated planning across fleet sizing, scheduling, and route prioritization to ensure a practical and efficient transition to electric aviation.
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