交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (1): 299-310.DOI: 10.16097/j.cnki.1009-6744.2024.01.030

• 工程应用与案例分析 • 上一篇    

广东不同区域汽车新能源化的减碳潜力及成本预测

刘永红1,2,3,张帆1,2,3,苗领1,2,3,蔡雨锋4,赖雨梦1,2,3, 吴潇彬4,曾雪兰4,姚达文*1,2,3   

  1. 1. 中山大学,智能工程学院,广东 深圳 518107;2. 广东省智能交通系统重点实验室,广州 510275;3. 广东省交通 环境智能监测与治理工程技术研究中心,广州 510275;4. 广东工业大学,生态环境与资源学院,广州 510006
  • 收稿日期:2023-08-31 修回日期:2023-10-24 接受日期:2023-11-16 出版日期:2024-02-25 发布日期:2024-02-14
  • 作者简介:刘永红(1977- ),女,江西高安人,教授,博士
  • 基金资助:
    国家自然科学基金(41975165);重庆市政府采购项目(CQS22C00150)

Decarbonization Potential and Cost Prediction of Automotive New Energy Transformation in Different Regions of Guangdong Province

LIU Yonghong1,2,3, ZHANG Fan1,2,3 , MIAO Ling1,2,3 , CAI Yufeng4, LAI Yumeng1,2,3, WU Xiaobin4, ZENG Xuelan4, YAO Dawen*1,2,3   

  1. 1. School of Intelligent Systems Engineering, Sun Yat-Sen University, Shenzhen 518107, Guangdong, China; 2. Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou 510275, China; 3. Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control, Guangzhou 510275, China; 4. Institute of Environmental & Ecological Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Received:2023-08-31 Revised:2023-10-24 Accepted:2023-11-16 Online:2024-02-25 Published:2024-02-14
  • Supported by:
    National Natural Science Foundation of China (41975165);Chongqing Municipal Government Procurement Program, China (CQS22C00150)

摘要: 汽车新能源化被认为是减少交通运输行业碳排放的有效政策,实施不同政策的碳减排效果及减排成本值得关注。本文在分析广东省各区域发展现状基础上,基于各车型存活和淘汰规律,搭建自下而上的汽车碳排放预测模型,通过耦合汽车保有量预测模型以及碳减排技术成本核算模型,分区域和分阶段研究广东省不同力度汽车新能源化情景的减碳潜力及短期成本。结果表明:在现有政策情景下,广东省将在2060年前实现车队大规模新能源化,更激进的新能源化政策将有望使此进程提前10年;广东省在现有政策力度下,能够在2030年前实现汽车碳达峰目标,峰值约为1亿t;珠三角(不含广深)地区和非珠三角地区将是减碳重点区域,私家车、其他乘用车以及出租车将是减碳重点车型;短期成本分析显示,相较于基准情景,各情景均呈现短期累计减碳总成本以及单位减碳成本广州和深圳低,珠三角(不含广深)和非珠三角高的特点。

关键词: 公路运输, 碳排放, 自下而上模型, 汽车新能源化, 减排成本

Abstract: The promotion of new energy vehicles is an effective policy for reducing carbon emissions in the transportation industry. Assessing the carbon reduction outcomes and implementation costs of policies is of paramount significance. In this study, we construct a comprehensive bottom-up forecasting model for automotive carbon emissions, integrating vehicle stock prediction models and assessments of carbon reduction technology costs. We evaluate the carbon reduction potential and short-term expenses associated with five different levels of new energy vehicle penetration scenarios across four regions within Guangdong Province. The results indicate that within the current policy framework, a significant portion of vehicle fleet in Guangdong Province is expected to change to new energy vehicles by 2060. More aggressive policy implementations hold the potential to achieve the goal in 10 years earlier. Moreover, Guangdong Province is projected to achieve its carbon emissions peak in the automotive sector by 2030 under the existing policies, with a peak value of approximately 100 million tons. The Pearl River Delta region (excluding Guangzhou and Shenzhen) and non-Pearl River Delta regions are identified as key areas for carbon reduction work. Across most scenarios, private cars, other passenger vehicles, and taxis are the primary contributors for carbon emission reductions. The short-term cost analysis reveals that, comparative to a fixed policy scenario, all scenarios exhibit lower cumulative carbon reduction costs and unit carbon reduction costs in Guangzhou and Shenzhen. However, higher costs are observed in the Pearl River Delta region (excluding Guangzhou and Shenzhen) and non-Pearl River Delta regions.

Key words: highway transportation, carbon emissions, bottom-up model, promotion of new energy vehicles, abatement cost

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