Optimization model for the location of charging infrastructure and battery sizing for a public network of electrified buses

The growing number of electric buses and high power charging systems within the public transport sector seeks to reduce carbon dioxide emissions and the use of fossil fuels in cities. But the transition process from the conventional bus fleet to an electrified one is expensive due to the high costs of battery systems. Then it’s necessary to develop an optimal planning of charging infrastructure and determine the required capacity of the battery system to minimize the total cost of ownership and at the same time to comply with the operational schedule. This thesis presents a mixed-integer linear optimization model to determine the location of charging infrastructure and battery sizing for a public network of electrified buses. The energy consumption for each bus line is determined according to the bus configuration, the geographical characteristics of the route and the specific driving cycle. The analysis is developed on the real-world data of the bus network in Santiago, Chile.