Emissions of electric vehicle charging in future scenarios: The effects of time of charging

被引:15
|
作者
Arvesen, Anders [1 ,2 ]
Voller, Steve [3 ]
Hung, Christine Roxanne [1 ,2 ]
Krey, Volker [1 ,2 ,4 ]
Korpas, Magnus [3 ]
Stromman, Anders Hammer [1 ,2 ]
机构
[1] Norwegian Univ Sci & Technol NTNU, Ind Ecol Programme, Trondheim, Norway
[2] Norwegian Univ Sci & Technol NTNU, Dept Energy & Proc Engn, Trondheim, Norway
[3] Norwegian Univ Sci & Technol NTNU, Dept Elect Power Engn, Trondheim, Norway
[4] Int Inst Appl Syst Anal IIASA, Laxenburg, Austria
关键词
electricity scenarios; greenhouse gas emissions; industrial ecology; integrated assessment model; life cycle assessment; power system model; LIFE-CYCLE ASSESSMENT; ENVIRONMENTAL CO-BENEFITS; GREENHOUSE-GAS EMISSIONS; CARBON-DIOXIDE EMISSIONS; POWER-SYSTEMS; ENERGY; GENERATION; IMPACTS; FLEXIBILITY; METHODOLOGY;
D O I
10.1111/jiec.13144
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Electrification of transport is an important option to reduce greenhouse gas emissions. Although many studies have analyzed emission implications of electric vehicle charging, time-specific emission effects of charging are inadequately understood. Here, we combine climate protection scenarios for Europe for the year 2050, detailed power system simulation at hourly time steps, and life cycle assessment of electricity in order to explore the influence of time on the greenhouse gas emissions associated with electric vehicle charging for representative days. We consider both average and short-term marginal emissions. We find that the mix of electricity generation technologies, and thus, also the emissions of charging, vary appreciably across the 24-h day. In our estimates for Europe for 2050, an assumed day-charging regime yields one-third-to-one-half lower average emissions than an assumed night-charging regime. This is owing to high fractions of solar PV in the electricity mix during daytime and more reliance on natural gas electricity in the late evening and night. The effect is stronger during summer months than during winter months, with day charging causing one-half-to-two-thirds lower emissions than night charging during summer. Also, when short-term marginal electricity is assumed, emissions tend to be lower with day charging because of contributions from nuclear electricity during the day. However, the results for short-term marginal electricity have high uncertainty. Overall, our results suggest a need for electric vehicle charging policies and emission assessments to take into consideration variations in electricity mixes and time profiles of vehicle charging over the 24-h day.
引用
收藏
页码:1250 / 1263
页数:14
相关论文
共 50 条
  • [1] Future of Electric Vehicle Charging
    Mouli, Gautham Ram Chandra
    Venugopal, Prasanth
    Bauer, Pavol
    [J]. 2017 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS (EE), 2017,
  • [2] The future of electric vehicle charging infrastructure
    Khurram Afridi
    [J]. Nature Electronics, 2022, 5 : 62 - 64
  • [3] Economic Analysis of Different Electric Vehicle Charging Scenarios
    Li Ying
    Zhou Haiming
    Ma Xiufan
    Wang Hao
    [J]. 2017 2ND ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2017), 2017, 199
  • [4] The future of electric vehicle charging infrastructure comment
    Afridi, Khurram
    [J]. NATURE ELECTRONICS, 2022, 5 (02) : 62 - 64
  • [5] Assessment of Electric Vehicle Charging Scenarios Based on Demographical Data
    Steen, David
    Le Anh Tuan
    Carlson, Ola
    Bertling, Lina
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (03) : 1457 - 1468
  • [6] Dynamic time prediction for electric vehicle charging based on charging pattern recognition
    Li, Chunxi
    Fu, Yingying
    Cui, Xiangke
    Ge, Quanbo
    [J]. FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING, 2023, 24 (02) : 299 - 313
  • [7] Future standard and fast charging infrastructure planning: An analysis of electric vehicle charging behaviour
    Morrissey, Patrick
    Weldon, Peter
    O'Mahony, Margaret
    [J]. ENERGY POLICY, 2016, 89 : 257 - 270
  • [8] Electric vehicle battery remaining charging time estimation considering charging accuracy and charging profile prediction
    Shi, Junzhe
    Tian, Min
    Han, Sangwoo
    Wu, Tung-Yan
    Tang, Yifan
    [J]. JOURNAL OF ENERGY STORAGE, 2022, 49
  • [9] Smart charging effects on Electric Vehicle charging behavior in terms of Power Quality
    Bertin, L.
    Lorenzo, K.
    Boukir, K.
    [J]. 2021 IEEE MADRID POWERTECH, 2021,
  • [10] Real-Time Electric Vehicle Intelligent Charging Scheduling Strategy in Real Traffic Scenarios
    Yang, Yue
    Pan, Gang
    Zhu, Jinghua
    [J]. 2023 IEEE 24TH INTERNATIONAL SYMPOSIUM ON A WORLD OF WIRELESS, MOBILE AND MULTIMEDIA NETWORKS, WOWMOM, 2023, : 271 - 280