{"title":"从多区域角度看电动汽车和氢燃料电池汽车的动态生命周期排放","authors":"Fangjie Liu , Muhammad Shafique , Xiaowei Luo","doi":"10.1016/j.eiar.2024.107695","DOIUrl":null,"url":null,"abstract":"<div><div>Innovations in transportation, such as Battery Electric Vehicles (BEVs) and Hydrogen Fuel Cell Vehicles (HFCVs), play a pivotal role in mitigating climate change. This study enhances the Well-to-Wheel (WTW) model to capture the interactions between vehicle emissions and the evolving energy sector by incorporating changes in energy mixes and regional energy trade across Chinese provinces. The enhanced WTW model aims to improve the accuracy of data and models, emphasizing the need to reflect distinct regional energy configurations and emission characteristics precisely. According to a WTW analysis, between 2030 and 2040, vehicles delivered in 2040 are expected to show a reduction in emissions of 55.5% to 62.5% compared to those delivered in 2030 across various provinces in China. Each province experiences varying degrees of reduction, influenced by the transition to cleaner energy sources, cross-regional trading of alternative fuels, and variations in annual vehicle driving distances. By 2040, the WTW emissions from BEVs could decrease by up to 31 g CO<sub>2</sub>eq/km, and those from HFCVs by up to 11 g CO<sub>2</sub>eq/km. For vehicles delivered in the midpoint year of 2035 during the 2030–2040 period, pronounced disparities in WTW emissions among provinces are observed: Hebei, heavily reliant on coal, exhibits the highest WTW emissions for all vehicle types (69.0 g CO<sub>2</sub>eq/km for Sedan-BEVs, 76.7 g CO<sub>2</sub>eq/km for SUV-BEVs, 49.2 g CO<sub>2</sub>eq/km for Sedan-HFCVs, and 67.9 g CO<sub>2</sub>eq/km for SUV-HFCVs), while Yunnan, rich in renewable resources, records the lowest (8.0 g CO<sub>2</sub>eq/km for Sedan-BEVs, 8.8 g CO<sub>2</sub>eq/km for SUV-BEVs, 1.7 g CO<sub>2</sub>eq/km for Sedan-HFCVs, and 2.3 g CO<sub>2</sub>eq/km for SUV-HFCVs). Policymaking must address regional differences and aim for long-term sustainability. Tailored policies should accommodate the unique energy scenarios and ecological needs of each province, optimizing cross-regional energy trade for maximum emission reduction. Policy flexibility is vital to integrate new technologies and market changes, ensuring environmental benefits from new energy vehicles are maximized. This study's detailed WTW emission analysis of low-emission vehicles enriches our understanding of regional energy impacts and provides a scientific basis for precise, proactive environmental policies. It stresses the importance of creating climate strategies that consider specific regional energy conditions and priorities, particularly emphasizing efficient cross-regional energy trade to reduce emissions effectively. The refined WTW model and specific policy suggestions address the nuanced approach needed for emission control and energy management in China, approaching or falling below international emission levels.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"111 ","pages":"Article 107695"},"PeriodicalIF":9.8000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic lifecycle emissions of electric and hydrogen fuel cell vehicles in a multi-regional perspective\",\"authors\":\"Fangjie Liu , Muhammad Shafique , Xiaowei Luo\",\"doi\":\"10.1016/j.eiar.2024.107695\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Innovations in transportation, such as Battery Electric Vehicles (BEVs) and Hydrogen Fuel Cell Vehicles (HFCVs), play a pivotal role in mitigating climate change. This study enhances the Well-to-Wheel (WTW) model to capture the interactions between vehicle emissions and the evolving energy sector by incorporating changes in energy mixes and regional energy trade across Chinese provinces. The enhanced WTW model aims to improve the accuracy of data and models, emphasizing the need to reflect distinct regional energy configurations and emission characteristics precisely. According to a WTW analysis, between 2030 and 2040, vehicles delivered in 2040 are expected to show a reduction in emissions of 55.5% to 62.5% compared to those delivered in 2030 across various provinces in China. Each province experiences varying degrees of reduction, influenced by the transition to cleaner energy sources, cross-regional trading of alternative fuels, and variations in annual vehicle driving distances. By 2040, the WTW emissions from BEVs could decrease by up to 31 g CO<sub>2</sub>eq/km, and those from HFCVs by up to 11 g CO<sub>2</sub>eq/km. For vehicles delivered in the midpoint year of 2035 during the 2030–2040 period, pronounced disparities in WTW emissions among provinces are observed: Hebei, heavily reliant on coal, exhibits the highest WTW emissions for all vehicle types (69.0 g CO<sub>2</sub>eq/km for Sedan-BEVs, 76.7 g CO<sub>2</sub>eq/km for SUV-BEVs, 49.2 g CO<sub>2</sub>eq/km for Sedan-HFCVs, and 67.9 g CO<sub>2</sub>eq/km for SUV-HFCVs), while Yunnan, rich in renewable resources, records the lowest (8.0 g CO<sub>2</sub>eq/km for Sedan-BEVs, 8.8 g CO<sub>2</sub>eq/km for SUV-BEVs, 1.7 g CO<sub>2</sub>eq/km for Sedan-HFCVs, and 2.3 g CO<sub>2</sub>eq/km for SUV-HFCVs). Policymaking must address regional differences and aim for long-term sustainability. Tailored policies should accommodate the unique energy scenarios and ecological needs of each province, optimizing cross-regional energy trade for maximum emission reduction. 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The refined WTW model and specific policy suggestions address the nuanced approach needed for emission control and energy management in China, approaching or falling below international emission levels.</div></div>\",\"PeriodicalId\":309,\"journal\":{\"name\":\"Environmental Impact Assessment Review\",\"volume\":\"111 \",\"pages\":\"Article 107695\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2024-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Environmental Impact Assessment Review\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0195925524002828\",\"RegionNum\":1,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Impact Assessment Review","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0195925524002828","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
摘要
电池电动汽车(BEV)和氢燃料电池汽车(HFCV)等交通领域的创新在减缓气候变化方面发挥着举足轻重的作用。本研究对 "从井到轮"(WTW)模型进行了改进,通过纳入中国各省能源结构和区域能源贸易的变化,捕捉汽车尾气排放与不断发展的能源行业之间的相互作用。增强型 WTW 模型旨在提高数据和模型的准确性,强调精确反映不同地区能源结构和排放特征的必要性。根据 WTW 分析,在 2030 年至 2040 年期间,预计中国各省 2040 年交付的车辆将比 2030 年交付的车辆减排 55.5% 至 62.5%。受向清洁能源过渡、替代燃料跨区域交易以及车辆年行驶距离变化的影响,各省的减排程度各不相同。到 2040 年,BEV 的 WTW 排放量最多可减少 31 克 CO2eq/km,HFCV 的 WTW 排放量最多可减少 11 克 CO2eq/km。在 2030-2040 年期间,对于在 2035 年中点年交付的车辆,各省之间的 WTW 排放量存在明显差异:严重依赖煤炭的河北省在所有车辆类型中显示出最高的 WTW 排放量(轿车-BEV 为 69.0 g CO2eq/km,SUV-BEV 为 76.7 g CO2eq/km,轿车-HFCV 为 49.2 g CO2eq/km,SUV-BEV 为 67.9 g CO2eq/km)。9 g CO2eq/km),而可再生资源丰富的云南则最低(轿车-BEV 为 8.0 g CO2eq/km,SUV-BEV 为 8.8 g CO2eq/km,轿车-HFCV 为 1.7 g CO2eq/km,SUV-HFCV 为 2.3 g CO2eq/km)。政策制定必须考虑地区差异,并以长期可持续性为目标。量身定制的政策应适应各省独特的能源方案和生态需求,优化跨区域能源贸易以实现最大减排量。政策的灵活性对于整合新技术和市场变化至关重要,可确保新能源汽车的环境效益最大化。本研究对低排放车辆进行了详细的 WTW 排放分析,丰富了我们对区域能源影响的理解,为制定精确、积极的环境政策提供了科学依据。它强调了制定气候战略的重要性,这些战略应考虑具体的区域能源条件和优先事项,特别强调有效的跨区域能源贸易,以有效减少排放。完善的 WTW 模型和具体的政策建议解决了中国排放控制和能源管理所需的细微方法,接近或低于国际排放水平。
Dynamic lifecycle emissions of electric and hydrogen fuel cell vehicles in a multi-regional perspective
Innovations in transportation, such as Battery Electric Vehicles (BEVs) and Hydrogen Fuel Cell Vehicles (HFCVs), play a pivotal role in mitigating climate change. This study enhances the Well-to-Wheel (WTW) model to capture the interactions between vehicle emissions and the evolving energy sector by incorporating changes in energy mixes and regional energy trade across Chinese provinces. The enhanced WTW model aims to improve the accuracy of data and models, emphasizing the need to reflect distinct regional energy configurations and emission characteristics precisely. According to a WTW analysis, between 2030 and 2040, vehicles delivered in 2040 are expected to show a reduction in emissions of 55.5% to 62.5% compared to those delivered in 2030 across various provinces in China. Each province experiences varying degrees of reduction, influenced by the transition to cleaner energy sources, cross-regional trading of alternative fuels, and variations in annual vehicle driving distances. By 2040, the WTW emissions from BEVs could decrease by up to 31 g CO2eq/km, and those from HFCVs by up to 11 g CO2eq/km. For vehicles delivered in the midpoint year of 2035 during the 2030–2040 period, pronounced disparities in WTW emissions among provinces are observed: Hebei, heavily reliant on coal, exhibits the highest WTW emissions for all vehicle types (69.0 g CO2eq/km for Sedan-BEVs, 76.7 g CO2eq/km for SUV-BEVs, 49.2 g CO2eq/km for Sedan-HFCVs, and 67.9 g CO2eq/km for SUV-HFCVs), while Yunnan, rich in renewable resources, records the lowest (8.0 g CO2eq/km for Sedan-BEVs, 8.8 g CO2eq/km for SUV-BEVs, 1.7 g CO2eq/km for Sedan-HFCVs, and 2.3 g CO2eq/km for SUV-HFCVs). Policymaking must address regional differences and aim for long-term sustainability. Tailored policies should accommodate the unique energy scenarios and ecological needs of each province, optimizing cross-regional energy trade for maximum emission reduction. Policy flexibility is vital to integrate new technologies and market changes, ensuring environmental benefits from new energy vehicles are maximized. This study's detailed WTW emission analysis of low-emission vehicles enriches our understanding of regional energy impacts and provides a scientific basis for precise, proactive environmental policies. It stresses the importance of creating climate strategies that consider specific regional energy conditions and priorities, particularly emphasizing efficient cross-regional energy trade to reduce emissions effectively. The refined WTW model and specific policy suggestions address the nuanced approach needed for emission control and energy management in China, approaching or falling below international emission levels.
期刊介绍:
Environmental Impact Assessment Review is an interdisciplinary journal that serves a global audience of practitioners, policymakers, and academics involved in assessing the environmental impact of policies, projects, processes, and products. The journal focuses on innovative theory and practice in environmental impact assessment (EIA). Papers are expected to present innovative ideas, be topical, and coherent. The journal emphasizes concepts, methods, techniques, approaches, and systems related to EIA theory and practice.