Energetic optimization of regenerative braking for high speed railway systems
Autor: | Amedeo Frilli, Luca Pugi, Daniele Nocciolini, Enrico Meli, Andrea Rindi |
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Rok vydání: | 2016 |
Předmět: |
Engineering
Energy recovery Object-oriented programming Regenerative braking high speed train storage devices energetic efficiency Renewable Energy Sustainability and the Environment business.industry Energy management 020209 energy Energy Engineering and Power Technology 02 engineering and technology 021001 nanoscience & nanotechnology Automotive engineering Field (computer science) Energy storage Fuel Technology Nuclear Energy and Engineering Work (electrical) Regenerative brake 0202 electrical engineering electronic engineering information engineering 0210 nano-technology business Energy (signal processing) |
Zdroj: | Energy Conversion and Management. 129:200-215 |
ISSN: | 0196-8904 |
DOI: | 10.1016/j.enconman.2016.10.011 |
Popis: | The current development trend in the railway field has led to an ever increasing interest for the energetic optimization of railway systems (especially considering the braking phases), with a strong attention to the mutual interactions between the loads represented by railway vehicles and the electrical infrastructure, including all the sub-systems related to distribution and smart energy management such as energy storage systems. In this research work, the authors developed an innovative coupled modelling approach suitable for the analysis of the energetic optimization of railway systems and based on the use of the new object oriented language Matlab-Simscape™, which presents several advantages with respect to conventional modelling tools. The proposed model has been validated considering an Italian Direct Current High-speed line and the High-speed train ETR 1000. Furthermore, the model has been used to perform an efficiency analysis, considering the use of energy storage devices. The results obtained with the developed model show that the use of energy recovery systems in high-speed railway can provide great opportunities of energy savings. |
Databáze: | OpenAIRE |
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