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中国乘用车市场结构预测及环境影响分析。

Forecast of passenger car market structure and environmental impact analysis in China.

机构信息

School of Transportation and vehicle engineering, Shandong University of Technology, Zibo 255000, China.

School of Transportation and vehicle engineering, Shandong University of Technology, Zibo 255000, China.

出版信息

Sci Total Environ. 2021 Jun 10;772:144950. doi: 10.1016/j.scitotenv.2021.144950. Epub 2021 Feb 1.

Abstract

To evaluate the future passenger car market related environmental impact, first, a competitive prediction model was introduced based on Lotka-Volterra model. Further, the limit of passenger car life cycle system is extended to analyze the scale of future energy consumption and pollutant emission. The proportion of new energy passenger cars, average rate of change in the quality of passenger cars, and the share of renewable energy power generation were used as evaluation indicators to conduct scenario simulations for assessing the environmental benefits under the following policy scenarios: lightweight, electrification, and end-use energy cleaning of automobile. The results show that market share of new energy passenger cars will surpass traditional passenger cars around 2040. The energy consumption per unit mileage of the four types of passenger cars throughout the life cycle is 3.88, 3.51, 3.23, and 3.72 MJ/km. Compared with traditional passenger cars, new energy passenger cars will decrease by 17%, but less than expected. The total amount of VOC, CO, and CHG emissions from passenger cars will reach the peak in 2030 and then rapidly decrease. The amount of NO emission will slowly decrease after reaching a peak of 11.6 ten-kilo-tons around 2040. The total emission of SO and PH will increase as the number of passenger cars increases. However, the growth rate will decrease to 4-6%. Finally, with the continuous advancement of three policies, the energy and emission factor will decrease by 10.0-13.5%. Among these factors, the impact of end-use cleaning energy in the mid-end terminal is the highest due to the sensitivity to fuel cycle. However, traditional single policy may not be effective since they do not consider the structure of vehicle cycle.

摘要

为了评估未来乘用车市场相关的环境影响,首先引入了基于Lotka-Volterra 模型的竞争预测模型。进一步将乘用车生命周期系统的极限延长,以分析未来能源消耗和污染物排放的规模。新能源乘用车的比例、乘用车质量的平均变化率和可再生能源发电的份额作为评价指标,对以下政策情景下的环境效益进行情景模拟:轻量化、电动化和汽车终端用能清洁化。结果表明,新能源乘用车的市场份额将在 2040 年左右超过传统乘用车。四种类型乘用车的单位里程全生命周期能耗为 3.88、3.51、3.23 和 3.72MJ/km。与传统乘用车相比,新能源乘用车将减少 17%,但低于预期。乘用车 VOC、CO 和 CHG 排放总量将在 2030 年达到峰值,然后迅速下降。NO 排放量将在 2040 年左右达到 11.6 万吨的峰值后缓慢下降。随着乘用车数量的增加,SO 和 PH 的总排放量将增加。然而,增长率将降至 4-6%。最后,随着三项政策的不断推进,能源和排放因子将减少 10.0-13.5%。在这些因素中,由于对燃料循环的敏感性,终端用能清洁化在中端的影响最高。然而,由于不考虑车辆周期的结构,传统的单一政策可能效果不佳。

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