A generic cost-utility-emission optimization for electric bus transit infrastructure planning and charging scheduling

Implementing battery electric buses (BEB) in transit operation is a promising avenue for reducing greenhouse gas (GHG) emissions. However, challenges are associated with the interdependency of several BEB system parameters during system planning and operation. This study develops a generic optimization model for BEB cost, utility impact, and GHG emissions. The model optimizes the sizing/location of the charging infrastructure, onboard battery capacity, and charging schedule. Furthermore, a trip-level energy consumption model is embedded in the optimization process to accommodate the varying energy consumption rates at the trip level. The optimization model is applied to a mid-size multi-hubs transit network. The results indicate that both en-route and depot charging approaches are required, with varying power capacities (heterogeneous infrastructure) and the number of chargers (poles). Furthermore, the temporal variation of the electricity time-of-use and GHG emissions intensity play significant roles in the resultant charging strategy and, thus, the system cost. Overall, the results indicate that the inclusion of all design parameters as decision variables in the model, as proposed in this study, is essential to account for the intertwined synergy of the BEB system's components. •A generic cost-utility-emission optimization for electric bus transit infrastructure planning and charging schedule is developed.•The model optimizes the sizing/location of the charging infrastructure, onboard battery capacity, and charging schedule.•The model also utilizes trip-level energy consumption to account for the varying energy consumption rates.•The results indicate the need for a heterogenous charging infrastructure configuration of varying rated power.•Optimizing the charging schedule significantly reduces utility impact and on-peak power demand.