A Novel Data Driven Methodology for Charging Hotspots Computation for the city of Helsinki

Abstract

Large scale endorsement and adoption of Electric Vehicles (EVs) call for availability of sustainable charging infrastructure. Planning of charging infrastructure to meet the charging needs require identifying the charging hotspots where charging demand will be always relatively high. Also, identifying the charging hotspots in advance will enable distribution network operators to decide whether grid reinforcement is required to support the charging demand. This work proposes a novel methodology for identifying the charging hotspots for the city of Helsinki. Home charging scenario as well as charging at workplace, home and shopping centres are considered in this analysis. It is expected that this work will guide city planners to plan the charging infrastructure and distribution network operators to plan the grid reinforcement if required in advance.