Journal of Transportation Systems Engineering and Information Technology ›› 2024, Vol. 24 ›› Issue (2): 293-303.DOI: 10.16097/j.cnki.1009-6744.2024.02.029

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Carbon Emission Boundary Analysis for High-speed Railway Signal System

SUPengfei,WANG Guo*,MINYongzhi,TAO Jindou,LI Xudong,LIU Xinyue   

  1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Received:2023-11-19 Revised:2024-02-22 Accepted:2024-02-26 Online:2024-04-25 Published:2024-04-25
  • About author:
  • Supported by:
    NationalNaturalScienceFoundationofChina(51867012); Gansu Province Science and Technology Program Projects (Key R&D Program) (22YF7GA146);State Key Laboratory ofAdvanced Electromagnetic Technology (AET2023KF004)。

高速铁路信号系统碳排放边界划分及分析

苏鹏飞,王果*,闵永智,陶金豆,李旭东,刘昕玥   

  1. 兰州交通大学,自动化与电气工程学院,兰州730070
  • 作者简介:苏鹏飞(1997- ),男,甘肃庆阳人,博士生。
  • 基金资助:
    国家自然科学基金(51867012);甘肃省科技计划项目(重点研发计划)(22YF7GA146);强电磁技术全国重点实验室开放课题(AET2023KF004)。

Abstract: Accurate quantification of carbon emissions of high-speed railway signal system is important for carbon emission estimation and the low-carbon development of high-speed railway. This paper considers the auxiliary activities of the signal system for the carbon emission calculation, and investigates the carbon emission boundary of the signal system. The proposed carbon emission calculation method for signal system is based on energy consumption. The carbon flow index of each device in the signal system is analyzed and calculated using the carbon flow theory. Taking the high-speed railway station of Lanzhou West in Gansu Province as a case study, this paper verifies the feasibility and effectiveness of the proposed method. The results show that the carbon emissions of the signal control and monitoring system are greatly related to the carbon emission factors of electricity, while the average carbon emission generated by the maintenance of the coded equipment is 0.12 kgCO2 ·d-1. The average branch carbon flow density among the devices in the signal system is 0.0076 kgCO2 ·kWh-1, and the node carbon potential of each device is equal to the branch carbon flow density. The carbon emission of each subsystem is associated with the type of the energy consumption. The indirect carbon emission caused by power consumption is the main component of carbon emission in the signal system. Direct carbon emissions from signal-system related activities are proportional to the primary energy consumption.

Key words: railway transportation, carbon emission boundary demarcation, carbon flow theory, signalling system, carbon emission calculation, carbon flow indicator

摘要: 准确量化高速铁路信号系统的碳排放量,对高速铁路碳排放核算及低碳化发展有重要意义。本文提出在计算其碳排放时需要综合考虑信号系统相关关联活动的思路,并划分信号系统的碳排放边界;提出基于能源消耗的信号系统碳排放计算方法,进一步利用碳流理论分析计算信号系统内各设备的相关碳流指标;最后以甘肃省兰州西高铁站为例进行分析,验证本文所提方法的可行性和有效性。结果显示,控制及监测系统的碳排放主要与电力碳排放因子有关,维护保养电码化设备所产生的碳排放平均仅有0.12kgCO2 ·d-1;信号系统各设备间的平均支路碳流密度为0.0076 kgCO2 ·kWh-1,各设备的节点碳势与支路碳流密度相等。结论表明,各子系统的碳排放量主要和其能耗类型有关,电能消耗引起的间接碳排放是信号系统碳排放的主要组成部分,信号系统相关活动引起的直接碳排放与一次能源消耗成正比。

关键词: 铁路运输, 碳排放边界划分, 碳流理论, 信号系统, 碳排放量计算, 碳流指标

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