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Energy-Efficient Train Operation

A System Approach for Railway Networks
BuchKartoniert, Paperback
234 Seiten
Englisch
Springererschienen am05.07.20242023
This book is closely related to the energy conservation problem of rail transport systems, focusing on reducing the energy consumption of train operation.mehr
Verfügbare Formate
BuchGebunden
EUR171,19
BuchKartoniert, Paperback
EUR171,19
E-BookPDF1 - PDF WatermarkE-Book
EUR160,49

Produkt

KlappentextThis book is closely related to the energy conservation problem of rail transport systems, focusing on reducing the energy consumption of train operation.
Details
ISBN/GTIN978-3-031-34658-3
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2024
Erscheinungsdatum05.07.2024
Auflage2023
Seiten234 Seiten
SpracheEnglisch
Gewicht377 g
IllustrationenX, 234 p. 136 illus., 91 illus. in color.
Artikel-Nr.56458132

Inhalt/Kritik

Inhaltsverzeichnis
Chapter 1. Introduction to energy-efficient train operation.- Chapter 2. Energy-efficient strategies for train operation.- Chapter 3. Energy-efficient driving for a single train.- Chapter 4. Energy-efficient train timetabling.- Chapter 5. Optimisation of train timetables for regenerative braking.- Chapter 6. Energy-efficient train driving considering energy storage systems.- Chapter 7. Railway energy simulation considering traction power systems.- Chapter 8. Energy-efficient train operation: conclusion and future work.mehr

Schlagworte

Autor


Shuai Su is a full Professor and the deputy director of the Frontier Science Center of the Smart High-Speed Rail System at Beijing Jiaotong University. He received Ph.D. degree from the Beijing Jiaotong University, Beijing, China, in 2016. His current research interests include energy-efficient operation and control in railway systems and intelligent train control and dispatching, such as timetable optimization, optimal driving strategy, and rescheduling. He has led projects concentrating on improving the energy efficiency of train operations. The related research has been implemented in more than 20 urban rail lines in China and is expanding to the ATO system in high-speed railway. Moreover, he is a senior member of the Chinese Association of Automation and also a member of the TRB Annual Rail Transit systems Committee.

Zhongbei Tian is an Assistant Professor at the School of Engineering, the University of Birmingham, leading Railway Power Systems Research at the Birmingham Centre for Railway Research and Education (BCRRE). Dr Tian received the BEng degree in Electrical Engineering at Huazhong University of Science and Technology, and PhD degree at the University of Birmingham. His research interests include railway traction power system modelling and analysis, energy-efficient train control, energy system optimisation, and sustainable transport energy systems integration and management. He has been leading on a number of projects funded by EPSRC, Royal Society, Horizon 2020, Network Rail, RSSB, and Innovate UK. His research has been implemented in projects across the world, including Network Rail, Edinburgh Tram in the UK, Madrid Metro in Spain, SMRT in Singapore, Beijing and Guangzhou Metro in China.

Rob Goverde is a Professor of Railway Traffic Management & Operations, and Director of the Digital Rail Traffic Lab at Delft University of Technology. Goverde has an MSc in Mathematics from Utrecht University (1993), an Engineering Doctorate (EngD) in Mathematical Modelling and Decision Support from Delft University of Technology (1996), and a PhD in Railway Operations from Delft University of Technology (2005). He cooperated in many European railway research projects. His research concentrates around the planning and management of railway traffic systems, including railway timetable optimization, railway traffic management, automatic train operation, train control and railway signalling.  He is Editor-in-Chief of the Journal of Rail Transport Planning & Management, President of the International Association of Railway Operations Research (IAROR), and Fellow of the Institution of Railway Signal Engineers (FIRSE).
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