Publications Repository - Gdańsk University of Technology

This thesis presents approach to analysis of energy efficiency of a suburban rail network, using novel models developed on the Matlab/Simulink basis. Necessary features and requirements for such models were determined thru in-depth review of the source literature in all applicable fields: electrified transportation systems, electric multiple units construction, vehicle drivetrains and finally, existing simulation methods. Existing and applied methods for improvement energy efficiency of electrified transportation were identified. Original model of electrified transportation system was developed. It can be characterized by unique implementation of the data bus structure that allows for simulating complex transport systems in a straightforward way while retaining high computation performance. Because every part of the program is an independent sub-model, the only limitation to size and complexity of analyzed system is the available computing power. Parameters of the analyzed transport system were assumed using technical datasheets, catalogues, tender documentation and a large set of recorded run data. Energy efficiency analysis for suburban railway system of SKM Trójmiasto was carried out, limiting the scope to railway line no. 250 between stations Gdańsk Śródmieście and Gdynia Redłowo. Practical and easy to implement approach to velocity profile optimization for electric multiple unit was proposed. Presented method allows for energy savings of about 8% while retaining the same travel time, simultaneously reducing drivetrain losses. Possibilities of further energy consumption reduction were suggested. Conducted research demonstrated that implementing model structure inspired by industrial communication networks improves model scalability and versatility, as it was used for two different electrified urban transport systems, with different power supply layouts. Moreover, proposed approach to energy consumption optimization, based on trackside signs and manageable by human driver was shown to improve energy efficiency of the whole system. This work also includes implementation of passenger flow and variable velocity profiles, which allowed for improvement of calculation accuracy.

Authors

• dr inż. Aleksander Jakubowski link open in new tab