Comparative Energy Consumption Analysis of the Hybrid Diesel Train and the Hybrid Fuel Cell Train

被引:1
|
作者
Misic, Mario [1 ]
Stojkov, Marinko [1 ]
Tomic, Rudolf [2 ]
Lovric, Mario [1 ]
机构
[1] Univ Slavonski Brod, Mech Engn Fac Slavonski Brod, Trg Ivane Brlic Mazuranic 2, Slavonski Brod 35000, Croatia
[2] Univ Zagreb, Fac Mech Engn & Naval Architecture, Ivana Lucica 5, Zagreb 10000, Croatia
来源
TEHNICKI VJESNIK-TECHNICAL GAZETTE | 2023年 / 30卷 / 05期
关键词
battery; diesel engine; energy consumption; fuel cell; hybrid train; supercapacitor; SYSTEM; CONVERTER; BATTERY; DESIGN;
D O I
10.17559/TV-20230301000393
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper compares train energy consumption of hybrid diesel-electric multiple unit (HDEMU) to hydrogen fuel-cell multiple unit (HFCMU). In the simulation, the parameters of the DMU HZ7022 train were used for the train model created in Matlab/Simulink environment. Since the train is powered by three diesel engines in original design, it was hybridized by removing one engine and adding a battery and a supercapacitor. For comparison, a train model was made with fuel cells that have rated power of two existing diesel engines, and it was hybridized with a battery and a supercapacitor, as in the simulation with the hybridization of diesel engines. The results are presented by comparing energy consumption for both trains. In addition, voltages, electric current values and power loads of power sources are shown. As the sustainability of the system, the SOC (State of Charge) values of both the battery and the supercapacitor are presented.
引用
收藏
页码:1523 / 1532
页数:10
相关论文
共 50 条
  • [41] Analysis of fuel cell integration with hybrid microgrid systems for clean energy: A comparative review
    Tariq, Abdul Haseeb
    Kazmi, Syed Ali Abbas
    Hassan, Muhammad
    Ali, S. A. Muhammed
    Anwar, Mustafa
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 52 : 1005 - 1034
  • [42] Enhancing Transmission on Hybrid Precoding Based Train-to-Train Communication
    Zhao, Junhui
    Liu, Jin
    Ni, Shanjin
    Gong, Yi
    MOBILE NETWORKS & APPLICATIONS, 2020, 25 (05): : 2082 - 2091
  • [43] Enhancing Transmission on Hybrid Precoding Based Train-to-Train Communication
    Junhui Zhao
    Jin Liu
    Shanjin Ni
    Yi Gong
    Mobile Networks and Applications, 2020, 25 : 2082 - 2091
  • [44] Electric train energy consumption modeling
    Wang, Jinghui
    Rakha, Hesham A.
    APPLIED ENERGY, 2017, 193 : 346 - 355
  • [45] Application of Energy Plus in High Speed Train Energy Consumption Analysis
    Zhao, Shou-bin
    Yang, Zhen
    Yuan, Hui
    Shi, Wei-bing
    2016 INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELING, SIMULATION AND APPLIED MATHEMATICS (CMSAM 2016), 2016, : 386 - 389
  • [46] Idling Control of a Hybrid Drive Train
    Kandler, Christoph
    Koenings, Tim
    Ding, Steven X.
    Wobbe, Frank
    Weinhold, Nick
    Schultalbers, Matthias
    AUTOREG 2013, 2013, 2196 : 133 - 144
  • [47] Energy Consumption Analysis of High-Speed Maglev Train
    Zhang, Xiaochun
    Mu, Siyuan
    Kang, Jinsong
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES FOR RAIL TRANSPORTATION (EITRT) 2017: TRANSPORTATION, 2018, 483 : 717 - 724
  • [48] Analysis of the electric energy consumption components for mine train traction
    Arpul, Serhii
    Artemchuk, Viktor
    Babyak, Mykola
    Vasilyev, Viacheslav
    Hetman, Hennadii
    Marikutsa, Serhii
    2ND INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE ENERGY-OPTIMAL TECHNOLOGIES, LOGISTIC AND SAFETY ON TRANSPORT (EOT-2019), 2019, 294
  • [49] Comprehensive drive train efficiency analysis of hybrid electric and fuel cell vehicles based on motor-controller efficiency modeling
    Williamson, Sheldon S.
    Lukic, Srdjan M.
    Emadi, Ali
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2006, 21 (03) : 730 - 740
  • [50] Analysis of the influence of train timetable on energy consumption on the metro line
    Baranski, Slawomir
    Steczek, Marcin
    13TH INTERNATIONAL CONFERENCE MODERN ELECTRIFIED TRANSPORT - MET'2017, 2018, 180