China Electricity Generation Greenhouse Gas Emission Intensity in 2030: Implications for Electric Vehicles

Shen, Weijian; Han, Wenhua; Wallington, Timothy J.; Winkler, Sandra

doi:10.1021/acs.est.8b05264

Cited by 92 publications

(59 citation statements)

References 21 publications

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“…However, it seems unlikely because very few PV systems are produced in Europe nowadays and China has become the biggest solar panel supplier. The grid carbon intensity in China (883 g/kWh) [58] is found to be much higher than the UK (323 g/kWh), regardless of the ambition of China aiming to reduce it to 600 g/kWh by 2020 [59]. If we use the grid carbon intensity of China to calculate total carbon emission during manufacture, the PBTCO2s of the three cases are almost double (5 -5.5 years) that shown in Figure 17.…”

mentioning

confidence: 90%

Techno-enviro-economic assessment of household and community energy storage in the UK

Dong

Kremers

Brucoli

et al. 2020

Energy Conversion and Management

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Residential electricity demand is expected to rise in the next few decades due to the electrification of heating and transport. Both European and UK national policies suggest that efforts should be made to reduce carbon emissions and increase the share of renewable energy, an important element of which is encouraging generation, typically PV, in partnership with energy storage systems in the residential sector. The scale of the energy storage system is important, i.e. in individual properties or as a community resource. Many advantages of community energy storage (CES) over household energy storage (HES) have been identified, but the design and operation of CES has received significantly less attention. Most existing research has analysed CES at community level only, but the performance and impact on individual households has yet to be fully explored. In this study an agent-based model is proposed to investigate and analyse CES based on a range of criteria. Results indicate that both HES and CES can significantly reduce the grid peak power import and export, improve the community self-consumption rate (SCR) and self-sufficiency rate (SSR), and contribute to much higher energy saving. Furthermore, optimising the CES capacity leads to more effective use of PV power and better demand localisation during high PV-generation periods. It is found that an important challenge for CES systems is to realise the value of the shared electricity equitably amongst the participants and potentially to seek other revenue streams.

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mentioning

confidence: 90%

Techno-enviro-economic assessment of household and community energy storage in the UK

Dong

Kremers

Brucoli

et al. 2020

Energy Conversion and Management

View full text Add to dashboard Cite

show abstract

“…EVs are still considered zero-emission vehicles by the European law, even if the indirect emissions associated with electricity production might be high [14,44]. Shen et al show that the benefits of battery electric vehicles (BEVs) will be significant with 60-70% lower emissions than that of internal combustion engine vehicles, and 10-40% lower than 2030 advanced hybrid electric vehicles (HEVs) [45]. Several studies conducted well-towheels (WTW) analysis to compare EVs and different types of vehicles.…”

Section: Electric Vehicles (Ev)mentioning

confidence: 99%

A Comprehensive Emissions Model Combining Autonomous Vehicles with Park and Ride and Electric Vehicle Transportation Policies

2021

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Several transport policies reduce pollution levels caused by private vehicles by introducing autonomous or electric vehicles and encouraging mode shift from private to public transport through park and ride (P&R) facilities. However, combining the policies of introducing autonomous vehicles with the implementation of electric vehicles and using the P&R system could amplify the decrease of transport sector emissions. The COPERT software has been used to calculate the emissions. This article aims to study these policies and determine which combinations can better reduce pollution. The result shows that each combination of autonomous vehicles reduces pollution to different degrees. In conclusion, the shift to more sustainable transport modes through autonomous electric vehicles and P&R systems reduces pollution in the urban environment to a higher percentage. In contrast, the combination of autonomous vehicles has lower emission reduction but is easier to implement with the currently available infrastructure.

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“…The other is the improvement of the clean energy network that can further reduce GHG emissions from the WTW phase. Still in China, Shen et al [35] claim that with the current heterogeneity in the electricity mix of the grid, the GHG benefits of BEVs vary dramatically according to location.…”

Section: Well-to-wheel Analysismentioning

confidence: 99%

Análise do poço a roda das emissões de gases do efeito estufa em veículo elétricos- revisão crítica

Sinigaglia¹,

Martins²

2021

Blucher Engineering Proceedings

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The growing environmental concern has led to the search for new energy and powertrain systems. Electric vehicles (EVs) are emerging as a promising and sustainable alternative. EVs can be classified as Hybrid Electric Vehicles (HEV), Battery Electric Vehicles (BEVs), Plug-In Hybrid Electric Vehicles (PHEVs) and Fuel Cell Electric Vehicles (FCEVs).The Well-to-Wheel (WTW) analysis assesses the total primary energy consumed by the vehicle for each kWh of energy supplied to the vehicle's wheels, comprising all stages covered by the well-to-tank conversion path and, later, by the conversion of energy on board from the tank to the wheels.This study intends to carry out an analysis under the WTW perspective comparing EVs to conventional vehicles, under the viewpoint of GHG (greenhouse gas) emissions. A search will be carried out in the Scopus database, to select articles, between the years 2002 and 2020 (08/may), with the keywords: well-to-wheel and greenhouse gas emissions and electric vehicle.The electricity generation mix, the source of hydrogen production, the technologies for producing electricity or hydrogen, the losses during transmission and distribution of energy, the battery technologies, the attitude of ecological driving and the autonomy of the vehicle are all important factors that have great influence on GHG emissions. Only the introduction of electric vehicles in countries does not guarantee a reduction in GHG, being necessary to analyze the entire life cycle. TIAGO SINIGAGLIA -Mechanical engineer, Master of Production Engineering (UFSM, 2018) and Doctoral Student in the Graduate Program in Production Engineering-UFSM. Develops research focused on sustainable mobility, electric vehicles and fuel cell vehicles.

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China Electricity Generation Greenhouse Gas Emission Intensity in 2030: Implications for Electric Vehicles

Cited by 92 publications

References 21 publications

Techno-enviro-economic assessment of household and community energy storage in the UK

Techno-enviro-economic assessment of household and community energy storage in the UK

A Comprehensive Emissions Model Combining Autonomous Vehicles with Park and Ride and Electric Vehicle Transportation Policies

Análise do poço a roda das emissões de gases do efeito estufa em veículo elétricos- revisão crítica

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