scholarly journals Development and application of a life cycle energy consumption and CO2 emissions analysis model for high-speed railway transport in China

Author(s):  
Yan-Zhe Wang ◽  
Sheng Zhou ◽  
Xun-Min Ou
Author(s):  
Vladimir Shmatchenko ◽  
Pavel Plekhanov

Objective: To determine the main approaches to safety management of high-speed railway transport on the basis of modern international and domestic practices in the specified sphere. Methods: Analysis methods of security risks on railway transport were considered in accordance with modern international standards of management of interconnected indices’ complex, which include reliability, availability, maintainability and safety and cost (Life Cycle Cost – LCC) at all stages of transportation systems’ life cycle: EN 50126 (IEC 62278), EN 50128 (IEC 62279), EN 50129 (IEC 62425) and IEC 60300-3-3. Results: The main approaches to safety measures of high-speed railway lines (VSM) were detected. The former involve using a lifecycle concept of engineering systems and facilities, management methodology of RAMS/LCC interconnected indices’ complex at all stages of a life cycle, wide application of the process approach and the tools of quality and safety management systems, development and implementation of technological maturity assessment methodology for security management activities, as well as object-oriented and coherent improvement of regulatory base, the systems of administrative and control and permission authorities, technical and technological development, management of external, inland and allocated risks under market relations. Practical importance: The examined approaches of VSM safety control make it possible to obtain a priori estimates of safety control processes and thus determine the achieved level of safety together with the levels of technological maturity of railway organizations’ processes.


2019 ◽  
Vol 12 (1) ◽  
pp. 206 ◽  
Author(s):  
Sakdirat Kaewunruen ◽  
Jessada Sresakoolchai ◽  
Junying Peng

The Beijing-Shanghai High-Speed Railway (HSR) is one of the most important railways in China, but it also has impacts on the economy and the environment while creating social benefits. This paper uses a life cycle assessment (LCA) method and a life cycle cost (LCC) analysis method to summarize the energy consumption, carbon emissions and costs of the Beijing-Shanghai HSR from the perspective of life cycle, and proposes some corresponding suggestions based on the results. The research objective of this paper is to analyse the carbon emissions, energy consumption, and costs of the rail system which includes the structure of the track and earthwork of the Beijing-Shanghai HSR during four stages: conception stage, construction stage, operation and maintenance stage, and disposal stage. It is concluded that the majority of the carbon emissions and energy consumption of the entire rail system are from the construction stage, accounting for 64.86% and 54.31% respectively. It is followed by the operation and maintenance stage with 31.60% and 35.32% respectively. In contrast, the amount of carbon emissions and energy consumption from the conception stage is too small to be considered. Furthermore, cement is the major contributor to the carbon emissions and energy consumption during the construction stage. As for the cost, the construction stage spends the largest amount of money (US$4614.00 million), followed by the operation and maintenance stage (US$910.61 million). Improving production technologies and choosing construction machinery are proposed to reduce the cost and protect the environment.


2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Zhengyu Xie ◽  
Limin Jia ◽  
Yong Qin ◽  
Li Wang

With the rapid development of high-speed railway in China, high-speed railway transport hub (HRTH) has become the high-density distribution center of passenger flow. In order to accurately detect potential safety hazard hidden in passenger flow, it is necessary to forecast the status of passenger flow. In this paper, we proposed a hybrid temporal-spatio forecasting approach to obtain the passenger flow status in HRTH. The approach combined temporal forecasting based on radial basis function neural network (RBF NN) and spatio forecasting based on spatial correlation degree. Computational experiments on actual passenger flow status from a specific bottleneck position and its correlation points in HRTH showed that the proposed approach is effective to forecast the passenger flow status with high precision.


Innotrans ◽  
2021 ◽  
pp. 3-7
Author(s):  
Nakip Z. Sabirov ◽  
◽  
Shamil K. Valiev ◽  

The article deals with the issues of resource saving on railways. Approaches to the definition of the essence of resource saving are highlighted. The influence of high-speed railway lines on the change in the structure of labor resources is revealed. The tasks of improving the resource management system and specific resources on railway transport are defined. Special attention is paid to railway automation and telemechanics systems, which will significantly reduce the labor costs of the HSR. The specific energy costs for different types of transport and per passenger-kilometer are given.


2020 ◽  
Vol 165 ◽  
pp. 04075
Author(s):  
Qizhang Li ◽  
Yongliang Xie

Underground high-speed railway station is becoming more and more popular in recent years, due to its advantage in relieving the tense situation of urban construction land. HVAC (Heating, Ventilation and Air Conditioning) system of underground railway station consumes large energy, therefore it is necessary to find a way to decrease the energy consumption in stations. Reasonable ventilation and air organization are the basis of energy-saving design of environment control system in stations. The energy consumption could be reduced greatly by utilizing the piston wind properly. In the present work, airflow characteristics in the station are investigated when high-speed train is passing through the underground railway station with CCM+ software. Results show that piston wind has different effects on airflow in the platform when the high-speed train is running. However, the air velocity in the platform is always lower than 5 m/s. In order to analyse the effect of piston wind on the airflow in the platform in more detail, the velocities and temperatures at waiting line are extracted. The air velocity near two ends of platform is larger and the similar results could also be observed for temperatures.


2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Dingjun Chen ◽  
Sihan Li ◽  
Junjie Li ◽  
Shaoquan Ni ◽  
Xiaolong Liu

Timetable optimization techniques offer opportunity for saving energy and hence reducing operational costs for high-speed rail services. The existing energy-saving timetable optimization is mainly concentrated on the train running state adjustment and the running time redistribution between two stations. Not only the adjustment space of timetables is limited, but also it is hard for the train to reach the optimized running state in reality, and it is difficult to get feasible timetable with running time redistribution between two stations for energy-saving. This paper presents a high-speed railway energy-saving timetable based on stop schedule optimization. Under the constraints of safety interval and stop rate, with the objective of minimizing the increasing energy consumption of train stops and the shortest travel time of trains, the high-speed railway energy-saving timetable optimization model is established. The fuzzy mathematics programming method is used to design an efficient algorithm. The proposed model and algorithm are demonstrated in the actual operation data of Beijing-Shanghai high-speed railway. The results show that the total operating energy consumption of the train is reduced by 3.7%, and the total travel time of the train is reduced by 11 minutes.


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