Feasibility study for electrification of Logistics centre at Stockholm Royal Seaport

Abstract: In the eastern part of Stockholm, a major urban development project is taking place. It is called Stockholm Royal Seaport and up to the year 2030 approximately 12000 new homes, 35000 workplaces and 600000 square meters of commercial areas will be added to the area. The project has been given a very ambitious environmental action program. As a part of that, the City of Stockholm has established a logistics centre in the area. The logistics centre is supposed to coordinate all transports of building material and handle the waste during the construction phase. One objective with the logistics centre is to reduce the number of transports and thereby reduction in the use of energy. The thesis-work mainly focused on developing an optimisation program for electricity supply to the logistics centre, in order to find the optimal way of managing charging and the use of electrical energy, when the logistics centre has procured a new batterypowered truck. The main objective is to minimize the purchase of power bought from the grid, for the loads at the logistics centre at Stockholm Royal Seaport. This thesis not only focused on this site in particular, but the work also resulted in creating a benchmark model that could be used for studying the electrification process for other construction sites in general. The logistics centre contains stationary battery storage, electrified distribution trucks, a PV generation system, and other electrical loads at the site. This thesis aimed at considering all the limitations and constraints for all the resources at the site and then finding an optimal method of utilising these resources in order to minimize the overall energy consumption. In this thesis, the optimal sizing of the battery for an electrified distribution truck is also performed considering the overall functional requirements of the distribution truck. Various charging strategies have been identified and simulated to understand the routines of charging the truck and their direct impact on the grid due to the purchase of energy during various hours of the day. The work resulted in optimised use of assets at the site during different hours of the day. The simulation work identified the best strategy and the use of resources at the site thus saving some amount of energy consumption at the site. This directly resulted in saving overall operational costs of the logistics centre.