Electric vehicles (EVs) are considered as sustainable alternatives to conventional vehicles, as they reduce emission and fossil fuel dependency. A recent study has proposed a charging infrastructure planning tool to support intercity trips for the estimated EV market share (6 percent) in Michigan for 2030. The main goal of this study is to estimate the emission reduction associated with this electrification rate and infrastructure investment for light duty vehicles. To this end, a state-of-the-art emission estimation framework is proposed to be applied to the state-wide intercity travels. The main contributions of the proposed framework includes: 1) Incorporating a micro emission estimation model for simulated vehicle trajectories of the intercity network of Michigan, 2) Adjusting the micro emission model results considering impacts of monthly travel demand and temperature variations, and heterogeneity of vehicles based on their make, model, and age. The emission estimation framework is then compared with the traditional VMT analysis method as a benchmark. Finally, five different scenarios are explored for EV adoption to assess potential emission savings from the given electrification rate for each scenario. The results suggest an annual CO2 emission savings of 0.58-0.92 million-ton. The CO2 social cost savings may justify the investment on the network electrification. Note that only 3.7 to 8.6 percent of the total EV energy requirements must be provided via the DC fast charger network proposed by the charging infrastructure planning tool. This requires annual energy consumption of 22.15 to 51.76 BWh for the estimated EV market share in Michigan for 2030.
翻译:最近的一项研究提议了一个收费基础设施规划模型,用于支持在密歇根州估计的2030年在密歇根州EV市场份额(6%)的城际旅行;这项研究的主要目标是估计与轻型车辆的电气化率和基础设施投资相关的减排量;为此,提议对全州范围的城市间旅行采用最先进的排放估计框架,因为这样可以减少排放和矿物燃料依赖;拟议框架的主要贡献包括:(1) 纳入密歇根州间网络模拟车辆轨迹的微型排放估计模型;(2) 调整微型排放模型的结果,考虑到每月旅行需求和温度变化的影响,以及基于车型、型号和年龄的车辆的异质性;然后将排放估计框架与传统的VMT分析方法进行比较,作为基准;最后,将采用五种不同的假设方案,以便评估每种情景的既定电流电气化率的潜在排放节余;结果显示,每年CO2排放节省0.58-092百万车辆轨距城市间网络的模拟轨迹;考虑到每月旅行需求和温度变化变化的影响,并根据车辆的型位、型态和年龄调整微型排放模型调整微型排放模型;然后将排放估计排放量框架作为基准。