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This paper analyses the impacts of the gasoline vehicle replacement programme with EVs at different penetration rates on petroleum and electricity sectors and their CO 2 emissions. The study utilises a top-down-type Environmental Input–Output (EI–O) model. Our results show that the replacement of gasoline cars with EVs causes greater impacts on total gasoline production than on total electricity generation. For example, at 5%, 20%, 50%, 70% and 100% gasoline vehicle replacement with EVs, the total gasoline production decreases by 1.66%, 6.65%, 16.62%, 23.27% and 33.24% in policy scenario 1, while the total electricity production only increases by 0.71%, 2.82%, 7.05%, 9.87% and 14.10%. Our study confirms that the gasoline vehicle replacement with EVs, powered by 80% coal, has no effect on overall emissions. The CO 2 emissions reduction in the petroleum sector is offset by the increase in CO 2 emissions in the electricity sector, leaving the national CO 2 emissions unchanged. By decarbonising the electricity sector, i.e. using 30% less coal in electricity generation mix, the total CO 2 emissions will be reduced by 28% (from 10,953 to 7870 Mt CO 2 ) on the national level. The gasoline vehicle replacement programme with EVs, powered by 50% coal-based electricity, helps reduce CO 2 emissions in petroleum sector and contributes zero or a very small proportion of additional CO 2 emissions to the electricity sector (policy scenario 2 and 3). We argue that EVs can contribute to a reduction of petroleum dependence, air quality improvement and CO 2 emission reduction only when their introduction is accompanied by aggressive electricity sector decarbonisation. [ABSTRACT FROM AUTHOR]

This work investigates different scenarios for electric vehicle (EV) deployment in China and explores the implications thereof with regard to energy portfolio, economics and the environment. Specifically, we investigate how to better deliver the value of EVs by improving designs in the power system and charging strategies, given expected developments by 2030 in both the power system and EV penetration levels. The impact of EV charging is quantified by applying an integrated transportation-power system model on a set of scenarios which represent uncertainties in charging strategies. We find that deploying EVs essentially shifts the use of gasoline to coal-fired power generation in China, thus leading to more coal consumption and CO 2 emissions of the power system. Economically, EVs outperform gasoline-powered vehicles in terms of average fueling costs. However, the impact of EVs in terms of CO 2 emissions at the national level largely depends on the charging strategy. Specifically, controlled charging results in more CO 2 emissions associated with EVs than uncontrolled charging, as it tends to feed EVs with electricity produced by cheap yet low-efficiency coal power plants located in regions where coal prices are low. Still, compared with uncontrolled charging, controlled charging shows absolute advantages in: (1) mitigating the peak load arising from EV charging; (2) facilitating RES generation; and (3) reducing generation costs and EV charging costs. Hence, in light of this trade-off of controlled charging with the goals of energy security, economic efficiency and reducing environmental impacts, policy interventions in the Chinese power system should opt for controlled charging strategies in order to best realize the benefits of EVs. Accordingly, this paper proposes that increasing the use of cleaner forms of electricity generation, such as RES power and gas power, and establishing energy efficiency and CO 2 emission regulations in power dispatch are critical for China. Lastly, this work illustrates what the optimized charging profiles from the power system perspective look like for different regions. These results can inform Chinese policy makers in creating a better integration of the transportation and the power system. [ABSTRACT FROM AUTHOR]

• Study the optimization of the EV incentive policy mixes at city level. • Residential preference heterogeneity has been examined in the research. • A stated preference experiment is conducted in the EV pilot cities. • Cities are grouped into three clusters by the compositions of the preference segments. • Demand-side EV policy mixes are tailored for the three city groups. The large-scale diffusion of electric vehicles (EVs) helps pave the way towards carbon peak and neutrality goals, while it is affected by the governmental incentive policies at different levels. This paper studies the optimization of demand-side policy mixes from the perspective of residential preference heterogeneity with 18 EV pilot cities in China as the case. A latent class model is used to investigate urban residents' preferences for demand-side policies and characterization of urban heterogeneities of the preferences. Valid survey data from 1455 respondents were collected from a stated preference experiment, which segmented urban residents into a "policy-sensitive" group (8.25% of the sample), "policy-indifferent" group (27.97%), and "policy-cognitive" group according to their preferences. The 18 pilot cities were grouped into three clusters according to the different compositions of the preference segments. Our analysis shows that it may not be necessary for the municipal governments to provide subsidies for the installations of home chargers currently. Besides, different optimized policy mixes of bus lane access privileges, replacement subsidies, toll discounts, and preferential parking fees for charging were proposed for the three clusters of cities. Our research paradigm applies to cities in other countries that need to optimize EV policy mixes. [ABSTRACT FROM AUTHOR]

Abstract: Renewable energy is one of the possible solutions when addressing climate change. Today, large-scale renewable energy integration needs to include the experience to balance the discrepancy between electricity demand and supply. The electrification of transportation may have the potential to deal with this imbalance and to reduce its high dependence on oil production. For this reason, it is interesting to analyse the extent to which transport electrification can further the renewable energy integration. This paper quantifies this issue in Inner Mongolia, where the share of wind power in the electricity supply was 6.5% in 2009 and which has the plan to develop large-scale wind power. The results show that electric vehicles (EVs) have the ability to balance the electricity demand and supply and to further the wind power integration. In the best case, the energy system with EV can increase wind power integration by 8%. The application of EVs benefits from saving both energy system cost and fuel cost. However, the negative consequences of decreasing energy system efficiency and increasing the CO2 emission should be noted when applying the hydrogen fuel cell vehicle (HFCV). The results also indicate that developing renewable energy is crucial for transportation electrification. [Copyright &y& Elsevier]

Abstract: Electric vehicles are developing quickly in China. Based on the expert interview, the current status, development trends, possible paths and related policy recommendations of the electric vehicle technology in China are discussed in this paper. It is found that there are some bottleneck problems for the electric vehicle development and some promotion policies should be taken in China. [Copyright &y& Elsevier]