This study researched the optimal network of hydrogen refueling stations. The network is designed on a European scale and with a focus on heavy duty trucks. The design is created by means of a two-step optimization. The first step clusters truck representing datapoints into a predetermined number of stations by means of k-means clustering. The second step optimally connects these to a source of supply, which is assumed to be a European hydrogen backbone. Cost values of supply and demand are finally optimized by balancing a cost function.

Research was performed by order of Shell.