Review of Carbon Emission Reduction Potential Analysis on New Energy Vehicles

被引：0
作者：
Wang Z. [1 ]
Zhan W. [1 ]
Sun F. [1 ]
Deng J. [1 ]
Cui D. [1 ]
Li X. [1 ]
机构：
[1] National Engineering Research Center for Electric Vehicles, School of Mechanical Engineering, Beijing Institute of Technology, Beijing
来源：
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | 2024年 / 44卷 / 02期
关键词：
carbon emission; emission reduction potential; new energy vehicles;
D O I：
10.15918/j.tbit1001-0645.2023.128
中图分类号：
学科分类号：
摘要：
Driven by the dual-carbon goal of "carbon peak and carbon neutrality", new energy vehicles have attracted widespread attention due to their advantages in carbon emission reduction. Aiming at promoting the relevant research on the assessment of carbon emission reduction potential of new energy vehicles, it was analyzed and summarized in three aspects that carbon emission measurement and analysis of new energy vehicles, collaborative optimization of low-carbon operation of vehicles and networks, and total vehicle carbon emission situation prediction, and it was also summarized that the latest research results in related fields and the advantages and disadvantages of various modeling methods. In this paper, it was focused on the relevant achievements of automobile energy-saving emission reduction accounting system and industrial carbon emission management system, putting forward the development trend and future research direction of carbon emission reduction potential analysis of new energy vehicles. © 2024 Beijing Institute of Technology. All rights reserved.
引用
收藏
页码：111 / 122
页数：11
相关论文
共 106 条
[41]  
KENDALL A, CHANG B, SHARPE B., Accounting for time-dependent effects in biofuel life cycle greenhouse gas emissions calculations, Environmental Science & Technology, 43, 18, pp. 7142-7147, (2009)
[42]  
LEVASSEUR A, LESAGE P, MARGNI M, Et al., Considering time in LCA: dynamic LCA and its application to global warming impact assessments, Environmental Science & Technology, 44, 8, pp. 3169-3174, (2010)
[43]  
COLLINGE W O, LANDIS A E, JONES A K, Et al., Dynamic life cycle assessment: framework and application to an institutional building, The International Journal of Life Cycle Assessment, 18, pp. 538-552, (2013)
[44]  
FIELD F, KIRCHAIN R, CLARK J., Life‐cycle assessment and temporal distributions of emissions: Developing a fleet-based analysis[J], Journal of Industrial Ecology, 4, 2, pp. 71-91, (2000)
[45]  
STERCHELE P, KERSTEN K, PALZER A, Et al., Assessment of flexible electric vehicle charging in a sector coupling energy system model–Modelling approach and case study, Applied Energy, 258, (2020)
[46]  
GARCIA-VILLALOBOS J, ZAMORA I, SAN MARTIN J I, Et al., Plug-in electric vehicles in electric distribution networks: A review of smart charging approaches, Renewable and Sustainable Energy Reviews, 38, pp. 717-731, (2014)
[47]  
WOLINETZ M, AXSEN J, PETERS J, Et al., Simulating the value of electric-vehicle–grid integration using a behaviourally realistic model, Nature Energy, 3, 2, pp. 132-139, (2018)
[48]  
BAILEY J, AXSEN J., Anticipating PEV buyers’ acceptance of utility controlled charging, Transportation Research Part A: Policy and Practice, 82, pp. 29-46, (2015)
[49]  
RICHARDSON D B., Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration, Renewable and Sustainable Energy Reviews, 19, pp. 247-254, (2013)
[50]  
MWASILU F, JUSTO J J, KIM E-K, Et al., Electric vehicles and smart grid interaction: A review on vehicle to grid and renewable energy sources integration[J], Renewable and sustainable energy reviews, 34, pp. 501-516, (2014)
12345678910