Development path of electric vehicles in China under environmental and energy security constraints

Du, Zhili; Lin, Boqiang; Guan, Chunxu

doi:10.1016/j.resconrec.2018.12.007

Cited by 94 publications

(21 citation statements)

References 20 publications

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“…Again, this decrease is the result of the Twelfth Five-Year Plan from 2011 to 2015, which promoted the industrial transformation and upgrading and accelerated the application of low-carbon technologies. For instance, in the daily life, electric motorbikes, electric scooters and electric vehicles are becoming more popular than ever (Du et al 2019).…”

Section: Evolution Of Carbon Footprintmentioning

confidence: 99%

High spatio-temporal heterogeneity of carbon footprints in the Zhejiang Province, China, from 2005 to 2015: implications for climate change policies

et al. 2020

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Energy consumption is a major factor influencing climate change. Low-carbon strategies can be defined from carbon (C) footprint and ecological pressure caused by energy consumption. We hypothesized that this should be done at the regional and city levels because factors controlling C footprints vary with location and time, yet there is actually little knowledge at local levels. Here, we mapped the C emissions and footprint of 11 cities in the Zhejiang Province of China, a rapidly growing area of about 57 million inhabitants, which is representative of the strong economic growth in China. The C footprint is expressed as the land surface necessary to adsorb C emissions. We studied spatio-temporal evolution of C footprints from 2005 to 2015 using the center of gravity method. Results show that total annual C emissions due to energy consumption in Zhejiang increased by 40.83 million tons (55.8%

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Section: Evolution Of Carbon Footprintmentioning

confidence: 99%

High spatio-temporal heterogeneity of carbon footprints in the Zhejiang Province, China, from 2005 to 2015: implications for climate change policies

et al. 2020

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“…The acquired power by applying TOU program can be calculated by Eq. (8). Unlike the rewardbased program, the TOU program does not impose any cost on the DRA and just suggests distinct tari s instead of incentives paid to consumers.…”

Section: Deterministic Optimal Scheduling Of Dramentioning

confidence: 99%

“…In recent years, the penetration of EVs has increased to respond to the concerns of fossil fuel reduction and environmental issues [4,5]. On the other hand, if the electrical load imposed by EVs could not be controlled correctly, it would bring about problems for power systems in both security and economic operation areas [6][7][8]. EVs owners, however, can even facilitate the operation of power systems by managing their consumption and participating in energy markets actively as an energy storage system and exible load.…”

Section: Introduction 1motivationmentioning

confidence: 99%

Risk-based Cooperative Scheduling of Demand Response and Electric Vehicle Aggregators

2019

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This paper proposes a new cooperative scheduling framework for Demand Response Aggregators (DRAs) and Electric Vehicle Aggregators (EVAs) in a day-ahead market. The proposed model implements the Information-Gap Decision Theory (IGDT) to optimize the scheduling problem of the aggregators, which guarantees to obtain the predetermined pro t by the aggregators. In the proposed model, the driving pattern of electric vehicle owners and the uncertainty of day-ahead prices are simulated via scenariobased and bi-level IGDT-based methods, respectively. The DRA provides DR from two demand-side management programs including Time-Of-Use (TOU) and reward-based DR. Then, the obtained DR is o ered in day-ahead markets. Furthermore, the EVAs not only meet the EV owners' demand economically, but also participate in the day-ahead market while are willing to set DR contracts with the DRA. The objective function is to maximize the total pro t of DR and EV aggregators by pursuing two di erent strategies to deal with price uncertainty, i.e., risk-seeking strategy and risk-averse strategy. The proposed plan is formulated in a risk-based approach and its validity is evaluated with respect to a case study with realistic data of electricity markets.

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“…The electrification of transportation needs can effectively solve the problem of dependence on fossil fuels and exhaust emissions. Given this, in the past ten years, the electric vehicle industry has achieved remarkable development worldwide (Du et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Benefit/Cost Analysis of Utilizing PEV Parking Lots as Virtual Energy Storage for the Energy Supply Sustainability of Future Distribution Systems

Zeng

Sun

et al. 2021

Front. Energy Res.

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The proliferation of plug-in electric vehicles has led to increased public charging infrastructure in cities worldwide. Grid-connected parking lot spaces are the most common charging option due to their technological readiness and convenience of adoption. Since the batteries aggregated by parking lots can be regarded as virtual energy storage, grid-connected parking lots are expected to provide many benefits to the urban distribution grid. This paper proposes a comprehensive methodological framework to evaluate the potential benefits and costs of utilizing grid-connected parking lot infrastructures to promote energy supply sustainability in future power distribution grids. Capacity-value-based and cost-effectiveness indexes are developed, which quantify the potential contribution of parking lots to power supply reliability and the associated economic implications. To realistically describe the available generation capacity of parking lot resources, a comprehensive model is presented, which explicitly considers the impact of external stimuli (incentive rates) on the behavioral patterns of lot users. Vehicle user responsiveness to incentive grades is derived from social field surveys. To conduct the evaluation, a hybrid algorithm based on Monte Carlo simulations is employed. The proposed methodology is illustrated on a real distribution grid in Beijing. The results confirm the effectiveness of our proposed approach and support practical policy suggestions.

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Development path of electric vehicles in China under environmental and energy security constraints

Cited by 94 publications

References 20 publications

High spatio-temporal heterogeneity of carbon footprints in the Zhejiang Province, China, from 2005 to 2015: implications for climate change policies

High spatio-temporal heterogeneity of carbon footprints in the Zhejiang Province, China, from 2005 to 2015: implications for climate change policies

Risk-based Cooperative Scheduling of Demand Response and Electric Vehicle Aggregators

Comprehensive Benefit/Cost Analysis of Utilizing PEV Parking Lots as Virtual Energy Storage for the Energy Supply Sustainability of Future Distribution Systems

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