Sammanfattning av resultat, erfarenheter och lärdomar från ELVIS demonstrationsprojekt för längre och tyngre tåg

Sammanfattning av resultat, erfarenheter och lärdomar från ELVIS demonstrationsprojekt för längre och tyngre tåg

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The ELVIS demonstration project aims to analyze how rail freight transports can be performed more efficient. Hypotheses are that the transport efficiency can be improved by using longer and heavier freight trains and by implementing energy-related measures, and that there may be additional benefits for the firms and the whole society such as better utilization of the track capacity. This report summarizes the results and experiences from the three previously produced sub reports. The first sub report contains an inventory of the previously conducted investigations and trials with longer and heavier freight trains. The second sub report describes the current conditions and evaluates the use of a 730 meter long train (instead of the current maximum train length of 630 meters) for the transport of paper rolls about 900 kilometers from Gävle to Malmö. The third sub report refers to timber transports on rail. The experiment with higher axle loads could not be implemented as planned. Instead it was tested how the electricity consumption per gross tonne-kilometer can be reduced by using longer trains (18 instead of 16 cars) on the about 200 kilometres long route between Mora and Gävle. In terms of both energy efficiency and overall efficiency for the rail transports researchers, companies and the Transport Administration concluded that there is a big need to secure the quality secure the data that is produced. This applies to information about electricity consumption and the factors that possibly affect electricity consumption per (gross) tonne-kilometer, i.e. the train length, the gross weight of the train, number of stops, speed, the driving style, topography and so on. The ELVIS project initiated a follow-up project that aims to compile and analyze the Transport Administration’s various databases in this area. The project will provide answers to questions such as what data the various databases contain, how data is collected and stored, for what purpose the data is collected and used, the extent to which data is quality assured and how data from different databases can be linked together.

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