| Literature DB >> 36157571 |
Baher Bakhtyar1, Zhang Qi1, Muhammad Azam2, Salim Rashid3.
Abstract
Universal environmental policies adopt strategies that enhance and encourage the production and usage of electric vehicles (EVs). Universal cooperation is evident in the framework of agreements or protocols so as to successfully lead countries towards the predetermined goals. The question is whether this trend can reduce global warming or CO2 emissions worldwide. By adopting game theory, this study analyses electricity carbon life cycle in leading EV countries. Results show that although the spread of EVs in Europe and the USA can mitigate carbon emissions, the production and use of electric vehicles in some countries, such as China and India, become a new source of such emissions. This reverse effect is due to the emission of greenhouse gases from electricity sources in these countries. Game theory also suggests that countries with unclean electricity sources should reconsider their plans to produce and use EVs. This study confirms that although carbon emission and global warming are global problems, regional and local policies can be substituted with a single comprehensive approach for an effective means of CO2 emission reduction.Entities:
Keywords: Carbon emission; Carbon life cycle; Electric vehicle; Electricity generation; Universal declaration
Year: 2022 PMID: 36157571 PMCID: PMC9484343 DOI: 10.1007/s10098-022-02399-7
Source DB: PubMed Journal: Clean Technol Environ Policy ISSN: 1618-954X Impact factor: 4.700
Fig. 1Key steps in conducting narrative review in this study
BEV and PHEV sales in major EV districts (IEA 2020)
| Major dealers | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BEV | PHEV | BEV | PHEV | BEV | PHEV | BEV | PHEV | BEV | PHEV | BEV | PHEV | |
| China | 60 | 30 | 210 | 90 | 460 | 170 | 930 | 280 | 1750 | 540 | 2580 | 770 |
| USA | 140 | 150 | 210 | 190 | 300 | 270 | 400 | 360 | 640 | 480 | 880 | 570 |
| Europe | 130 | 70 | 210 | 170 | 300 | 290 | 430 | 430 | 630 | 610 | 970 | 780 |
The numbers denote thousand vehicles
Fig. 2BEV and PHEV markets in leading EV countries (2014–2019)
Carbon life cycle estimates for selected electricity resources (Sovacool 2008)
| Technology | Capacity/configuration/fuel | Estimate (g CO2e/kWh) |
|---|---|---|
| Wind | 2.5 MW, offshore | 9 |
| Hydroelectric | 3.1 MW, reservoir | 10 |
| Wind | 1.5 MW, onshore | 10 |
| Biogas | Anaerobic digestion | 11 |
| Hydroelectric | 300 kW, run-of-river | 13 |
| Solar thermal | 80 MW, parabolic trough | 13 |
| Biomass | Forest wood co-combustion with hard coal | 14 |
| Biomass | Forest wood steam turbine | 22 |
| Biomass | Short rotation forestry co-combustion with hard coal | 23 |
| Biomass | Forest wood reciprocating engine | 27 |
| Biomass | Waste wood steam turbine | 31 |
| Solar PV | Polycrystalline silicone | 32 |
| Biomass | Short rotation forestry steam turbine | 35 |
| Geothermal | 80 MW, hot dry rock | 38 |
| Biomass | Short rotation forestry reciprocating engine | 41 |
| Nuclear | Various reactor types | 66 |
| Natural gas | Various combined cycle turbines | 443 |
| Fuel cell | Hydrogen from gas reforming | 664 |
| Diesel | Various generator and turbine types | 778 |
| Heavy oil | Various generator and turbine types | 778 |
| Coal | Various generator types with scrubbing | 960 |
| Coal | Various generator types without scrubbing | 1050 |
Fig. 3Average EV pollution (2016–2020)
Fig. 4Coal usage in China’s energy sector from 2000 to 2040 IEA-China 2017)