Local and global sensitivity analysis for railway upgrading between hydrogen fuel cell and electrification

Abstract

In the field of rail transit, the UK Department of Transport stated that it will realize a comprehensive transformation of UK railways by 2050, abandoning traditional diesel trains and upgrading them to new environmentally friendly trains. The current mainstream upgrade methods are electrification and hydrogen fuel cells. Comprehensive upgrades are costly, and choosing the optimal upgrade method for trams and mainline railways is critical. Without a sensitivity analysis, it is difficult for us to determine the influence relationship between each parameter and cost, resulting in a waste of cost when choosing a line reconstruction method. In addition, by analyzing the sensitivity of different parameters to the cost, the primary optimization direction can be determined to reduce the cost. Global higher-order sensitivity analysis enables quantification of parameter interactions, showing non-additive effects between parameters. This paper selects the main parameters that affect the retrofit cost and analyzes the retrofit cost of the two upgrade methods in the case of trams and mainline railways through local and global sensitivity analysis methods. The results of the analysis show that, given the current UK rail system, it is more economical to choose electric trams and hydrogen mainline trains. For trams, the speed at which the train travels has the greatest impact on the final cost. Through the sensitivity analysis, this paper provides an effective data reference for the current railway upgrading and reconstruction plan and provides a theoretical basis for the next step of train parameter optimization.

Keywords

Local sensitivity analysis / Global sensitivity analysis / Hydrogen fuel cell railway / Electrification / Railway upgrading

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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