Evaluating battery electric vehicle usage in the EU: A comparative study based on member state energy mixes

被引:2
|
作者
Kocsis, Denes [1 ]
Kiss, Judit T. [2 ]
Arpad, Istvan W. [3 ]
机构
[1] Univ Debrecen, Fac Engn, Dept Environm Engn, H-4032 Debrecen, Hungary
[2] Univ Debrecen, Fac Engn, Dept Engn Management & Enterprise, H-4032 Debrecen, Hungary
[3] Univ Debrecen, Fac Engn, Dept Mech Engn, H-4032 Debrecen, Hungary
关键词
Carbon emission; Energy efficiency; Electric vehicle; Energy conversion;
D O I
10.1016/j.heliyon.2024.e30655
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The transport sector is undergoing a major transformation, as battery electric vehicles (BEV) are gaining ground. Therefore, assessing the sustainability aspects of their use is crucial to obtaining a clear picture of the sector. This article aims to meet this requirement by using European Union (EU) data for the period 2011 to 2021 and focuses not only on EU-27 aggregates but also on each member state separately. For the evaluation, a well -to -wheel (WTW) method was used to calculate two parameters: energy -specific CO 2 emissions ( epsilon) and total efficiency of energy conversions, transmission, and battery ( eta total ). For these values, the annual electricity mixes of the countries were tracked in 5 + 1 categories (combined cycle gas turbine (CCGT), thermal power plant, biofuels, nuclear power plant (NPP), renewables, and imports). The calculated results were illustrated by sustainability matrices describing the former and current positions of the countries. The EU-27 aggregate achieved a 0.04 increase (from 0.37 to 0.41) in total efficiency and a 29 gCO 2 /MJ motion decrease (from 113 to 84 gCO 2 /MJ motion ) during the period. This epsilon value for 2021 was around half the world average. However, very significant differences were identified between member states, which are also assessed in the article with special emphases on the five most populated EU countries (Germany, France, Italy, Spain, and Poland).
引用
收藏
页数:11
相关论文
共 50 条
  • [41] A comparative life cycle assessment on lithium-ion battery: Case study on electric vehicle battery in China considering battery evolution
    Wang, Shuoyao
    Yu, Jeongsoo
    WASTE MANAGEMENT & RESEARCH, 2021, 39 (01) : 156 - 164
  • [42] Choice-Based Conjoint Model for Evaluating Consumers' Purchasing Preferences for Battery Electric Vehicle Attributes
    Lee, Yueh-Hua
    Wang, Chin-Mei
    Lee, Wen-Ting
    INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS, 2014, 52 (01): : 159 - 171
  • [43] São Miguel Island as a case study on a possible usage of electric vehicle to store energy
    Kadurek, Petr
    World Electric Vehicle Journal, 2009, 3 (01):
  • [44] State of Energy Estimation for Lithium-Ion Battery Pack via Prediction in Electric Vehicle Applications
    An, Fulai
    Jiang, Jiuchun
    Zhang, Weige
    Zhang, Caiping
    Fan, Xinyuan
    IEEE Transactions on Vehicular Technology, 2022, 71 (01): : 184 - 195
  • [45] State of Energy Estimation for Lithium-Ion Battery Pack via Prediction in Electric Vehicle Applications
    An, Fulai
    Jiang, Jiuchun
    Zhang, Weige
    Zhang, Caiping
    Fan, Xinyuan
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 71 (01) : 184 - 195
  • [46] A Comparative Study of Electric Vehicles Battery State of Charge Estimation Based on Machine Learning and Real Driving Data
    Ariche, Salma
    Boulghasoul, Zakaria
    El Ouardi, Abdelhafid
    Elbacha, Abdelhadi
    Tajer, Abdelouahed
    Espie, Stephane
    JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, 2024, 14 (04)
  • [47] Comparative Study on the Effect of PMSM Scaling Choices on Electric Vehicle Energy Consumption
    Aroua, Ayoub
    Lhomme, Walter
    Verbelen, Florian
    Bouscayrol, Alain
    Sergeant, Peter
    Stockman, Kurt
    2023 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VPPC, 2023,
  • [48] Comparative Study of Electric Vehicle Energy Consumption between Trunk Roads and Highways
    El Amrani, Salima
    Chennani, Mohammed
    Belkhayat, Driss
    PROCEEDINGS OF 2019 7TH INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC), 2019, : 400 - 405
  • [49] Online battery state of health estimation based on Genetic Algorithm for electric and hybrid vehicle applications
    Chen, Zheng
    Mi, Chunting Chris
    Fu, Yuhong
    Xu, Jun
    Gong, Xianzhi
    JOURNAL OF POWER SOURCES, 2013, 240 : 184 - 192
  • [50] Information Fusion for State Estimation of Power Battery in Electric Vehicle Based on Unscented Kalman Filter
    Zheng, Hongyu
    Zong, Changfu
    SENSORS, MEASUREMENT AND INTELLIGENT MATERIALS, PTS 1-4, 2013, 303-306 : 975 - 978