Modeling the impact of EVs in the Chinese power system: Pathways for implementing emissions reduction commitments in the power and transportation sectors

Li, Bo; Ma, Ziming; Hidalgo-Gonzalez, Patricia; Lathem, Alex; Fedorova, Natalie; He, Gang; Zhong, Haiwang; Chen, Minyou; Kammen, Daniel M.

doi:10.1016/j.enpol.2020.111962

Cited by 52 publications

(18 citation statements)

References 22 publications

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“…Such products can reduce fuel consumption of road transportation by a quarter, while also reducing fuel costs and carbon dioxide emissions. Li, B., et al [19] believed that the average emission of CO 2 of electric vehicles reach to be 1/10 of that of gasoline vehicles per kilometer, and the active development of electric vehicles and the related smart charging devices can significantly reduce future carbon emissions. Zhao, J., et al [20] introduced artificial intelligence to design value-added vehicle power, used high-swing batteries and replaced batteries as needed to reduce their life cycle costs and reduce greenhouse gas emissions.…”

Section: Literature Reviewmentioning

confidence: 99%

The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

Shi

Chan

et al. 2021

Atmosphere

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The carbon reduction effect of technological innovation in the transportation industry is conducive to China’s anticipated realization of carbon neutrality. Therefore, we evaluated carbon emission reduction effect of technological innovation in the transportation industry in China. Based on the panel data of 30 sample provinces in China (excluding Hong Kong, Macao, Taiwan and Tibet) from 2012 to 2018, using the Moran’I index and Getis-Ord Gi index, this paper analyzes the evolutionary trend and spatial autocorrelation of carbon emission in the transportation industry, and analyzes the impact of technological innovation on carbon emission levels of the transportation industry and its spatiotemporal differences by using the geographical and temporal weighted regression (GTWR) model by using ArcGIS 10.4 software. The conclusions are as follows: The carbon emission level of China’s transportation industry generally has been rising steadily, showing a spatial distribution pattern of high emissions in the east and low emissions in the west. The cold spots are concentrated in the western region, and the hot spots are situated in the central and eastern regions. Technological innovation has a carbon reduction effect on the transportation industry in the eastern and north-eastern regions, while the effect in other regions is not obvious. However, there is an obvious “inverted U-shaped” relationship between technological innovation and the transportation industry’s carbon emissions. The technological innovation in the transportation industry will have a significant carbon reduction effect after breaking through the technical pain points. This carbon reduction effect has a higher effect on the western region than on the eastern region. In addition, the economic development level, the fiscal expenditure proportion of the transportation industry, the higher education level, and the proportion of fixed asset investment in the transportation industry have played a positive role in reducing carbon in the transportation industry, but the spatial heterogeneity of this carbon reduction effect is relatively strong. Therefore, during the “14th Five-Year Plan” development period in China, it is necessary to continuously promote the low-carbon development of the transportation industry with technological innovation, while highlighting the differentiated carbon reduction governance, and consolidating the role of talents and fiscal support.

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Section: Literature Reviewmentioning

confidence: 99%

The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

Shi

Chan

et al. 2021

Atmosphere

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“…China [48] 174 million EVs on the roads in the moderate scenario and 349 million EV in the aggressive scenario by 2050 + 70% reduction in power sector emissions by 2050 10%, 13% and 6% increase in gas, storage and solar capacity respectively between moderate and aggressive scenarios. 55.5 billion USD (4.4%) increase in annual total power system costs by 2050.…”

Section: Kartal Region Turkey [44]mentioning

confidence: 99%

Analyzing Electric Vehicle Load Impact on Power Systems: Modeling Analysis and a Case Study for Maldives

Suski¹,

Remy

Chattopadhyay

et al. 2021

IEEE Access

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“…The SWICH-China model is a generation and transmission expansion model of the Chinese power system that is mainly developed and improved by Li et al (2021) and Johnston et al (2019), and whose code is open-source and available on GitHub. The model is a linear program and its objective is to minimize the sum of all investment and operation costs, including (1) the capital costs of new and existing generators, (2) the fixed operation and maintenance (O&M) costs of all generators, (3) the variable costs of all generators, (4) the fuel costs, (5) the transmission and distribution (T&D) costs of inter-regional and regional lines, and (6) the fixed O&M costs of new and existing transmission lines and local T&D. Nominal prices are used for the modeling and the discount rates for the modeling is 8%.…”

Section: Limitations Of the Studymentioning

confidence: 99%

Orderly retire China's coal-fired power capacity via capacity payments to support renewable energy expansion

Yin

Fedorova

et al. 2021

iScience

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The energy-only-market implemented in China cannot strongly support largescale renewable energy expansion because the renewable energy expansion may disorderly phase out non-renewable power capacity. However, non-renewable power capacity, particularly the coal-fired power capacity in China, can provide vital power system adequacy needed by renewable energy expansion. We introduce capacity payments to orderly retire current coal-fired power capacity by transforming some of it into reserve capacity in order to support renewable energy expansion. Using generation and transmission expansion results from the SWITCH-China model, this paper proposes an orderly retirement path based on the assumption of implementing capacity payments. Our results show that roughly 100-200 gigawatts (GW) of coal-fired power capacity can continue to serve through 2050, and most of it is used as reserve capacity. Capacity payments of 400-700 billion yuan are needed to achieve this retirement path, and a higher adequacy requirement needs higher payments.Unfortunately, under China's current energy-only market, the large-scale expansion of renewable energy can force coal-fired power plants to disorderly retire and weaken system adequacy. Because the large-scale

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Modeling the impact of EVs in the Chinese power system: Pathways for implementing emissions reduction commitments in the power and transportation sectors

Cited by 52 publications

References 22 publications

The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

The Carbon Emission Reduction Effect of Technological Innovation on the Transportation Industry and Its Spatial Heterogeneity: Evidence from China

Analyzing Electric Vehicle Load Impact on Power Systems: Modeling Analysis and a Case Study for Maldives

Orderly retire China's coal-fired power capacity via capacity payments to support renewable energy expansion

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