4.7 Article

Energy consumption analysis and multiple-criteria evaluation of high-speed trains with different marshaled forms in China

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 759, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2020.143678

Keywords

Energy consumption; High-speed train; Multiple-criteria evaluation; Wind tunnel test

Funding

  1. National Key Research and Development Program of China [2018YFB1201600, 2018YFB1201801-4, 2018YFB1201804-2]
  2. National Natural Science Foundation of China [52075553, 51905547, 51905555]
  3. Hu Xiang Youth Talents Program [2018RS3002, 2020RC3009]
  4. Innovation-Driven Project of Central South University [2019CX017]
  5. China Aerodynamics Research and Development Centre [NNW2019ZT5-A11]

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This paper investigates the energy consumption of high-speed trains with different marshaled forms and proposes a multi-criteria evaluation methodology. The results can guide the engineering design of high-speed trains and provide an evaluation tool for decision-making in design.
Because of the current state of global resource shortages and environmental degradation, energy-saving and environmentally friendly national policies and low-carbon concepts have attracted both individual and societal attention, especially for rail transit. The rapid development of high-speed railways and urban rail transit in China has presented increasing transport energy demands and environmental pressures. This paper conducts an energy consumption comparative analysis of high-speed trains with different marshaled forms, including 3, 5, 8, 10, 12, 16, 17 and 18 cars, using the delayed detached eddy simulation method. A wind tunnel test with a 3.6% difference is applied to verify the obtained numerical results. A multiple-criteria evaluation methodology is presented to select the optimal alternatives for the marshaled forms of high-speed trains, which considers economic, social and environmental factors. The 1318-km (820-mile) Beijing-Shanghai line and a 350-kph high-speed train are employed in this research. The results can effectively guide the engineering design of high-speed trains and provide an evaluation tool in the decision-making process for designers. (C) 2020 Elsevier B.V. All rights reserved.

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