Electrification of marinas forcharging of electric recreationalboats : case study of Stockholm

Sammanfattning: Decarbonization of the marine transportation sector is contributing to the growth of electric recreational boats. The growth of electric recreational boats also means an increase in charging demand to meet the power needs of electric boats to address the problem of range anxiety. To meet the charging demand of electric boat owners, electrification of existing public boat marinas is necessary. The objective of this study is to determine the optimal number of fast and slow chargers to meet charging demand of electric boats at public boat marinas. This study proposes a mathematical model formulated using mixed integer linear optimization programming (MILP). The model is validated using 9 public marinas owned by the city of Stockholm; the technical and economic data of one of the existing electric boats in the Swedish market, electric chargers; and hourly availability profile of boats at the marinas considered. The economic analysis was carried out to determine the year each station will break-even financially. The result obtained is the number of slow chargers and fast chargers to meet the charging demand of all electric boats; and the power drawn per charger type per station. Due to availability profile and charging demand of the boats, the model optimized for higher number of fast chargers compared to slow chargers at some of the stations; and at some of the stations, higher number of slow chargers compared to fast chargers; and equal number of slow and fast chargers at some of the stations. Also, maximum power is drawn between 01:00 and 03:00 at midnight and between 13:00 and 15:00 during the day, and this was as a result of the lowest average electricity price within this time period. In addition, the economic analysis shows that all the stations are financially viable and break-even within the first seven years of their lifetime. The result obtained shows that the number of electric chargers (slow and fast) generated by the model meet the charging demands of all the boats at each of the stations optimally.