School of Management, Tianjin University of Technology, Tianjin, 300384, People's Republic of China.
Environ Sci Pollut Res Int. 2023 Dec;30(60):125492-125509. doi: 10.1007/s11356-023-31113-3. Epub 2023 Nov 24.
New energy vehicles have a significant impact on reducing green house gas (GHG) emissions in the transportation sector, but the ability of new energy vehicles to reduce emissions under various development scenarios and electricity energy mix needs to be studied in depth. In this research, a GRA-BiLSTM model is constructed to predict the ownership of new energy vehicles by three scenario settings. Then, the structure of the future energy generation is forecast using a regression model. Finally, the carbon emissions under different energy structures are quantified and compared based on the prediction results, focusing on their carbon emission effects. The results show that in 2035, under three different development scenarios, the new energy vehicle ownership will reach 5711, 18122.76, and 218.93 million units, and the carbon emissions will be 60.897 billion kg, 193.246 billion kg, and 233.451 billion kg, respectively, based on the future energy development structure, accounting for 86% of the carbon emissions from the existing power generation structure. The carbon emission potential of new energy vehicles depends to a large extent on the future scenario of the power generation mix as well as the market for new energy vehicle ownership.
新能源汽车对减少交通运输领域温室气体(GHG)排放有重大影响,但新能源汽车在各种发展情景和电力能源组合下的减排能力需要深入研究。本研究构建了一个 GRA-BiLSTM 模型,通过三种情景设置来预测新能源汽车的保有量。然后,利用回归模型预测未来能源结构。最后,根据预测结果量化和比较不同能源结构下的碳排放,并重点关注其碳排放效应。结果表明,到 2035 年,在三种不同发展情景下,新能源汽车保有量将分别达到 5711、18122.76 和 218.93 百万辆,而基于未来能源发展结构,碳排放将分别达到 608.97 亿千克、1932.46 亿千克和 2334.51 亿千克,占现有发电结构碳排放的 86%。新能源汽车的碳排放潜力在很大程度上取决于未来的发电组合情景以及新能源汽车市场的发展。