Assessing the cost-effectiveness of electric vehicles in European countries using integrated modeling

Seixas, Júlia; Simões, Sofia; Dias, Luís; Kanudia, Amit; Fortes, Patrícia; Gargiulo, Maurizio

doi:10.1016/j.enpol.2015.01.032

Cited by 57 publications

(25 citation statements)

References 17 publications

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“…We assume that the lottery luck can be estimated from Eq. (15) and that the auction price can be approximated as an offset k mega . The expression of PRIC estimation can be changed to…”

Section: Intangible Cost Of Purchase Restrictions (Pric)mentioning

confidence: 99%

“…The AFLEET (Alternative Fuel Life-cycle Environmental and Economic Transportation) tool was developed by Argonne National Laboratory (ANL) to examine both the environmental and economic costs and benefits of alternative fuel and advanced vehicles [13]; moreover, based on AFLEET, comparisons and optimizations of the combination of different vehicle types have been proposed [14]. Analysis results indicate that, for consumers, EVs do not currently represent a cost-effective mobility option compared to CVs [8,15]. However, policies play a key role in EV penetration; therefore, the impact of government subsidies has been widely discussed [16,17].…”

Section: Introductionmentioning

confidence: 99%

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Life-cycle private-cost-based competitiveness analysis of electric vehicles in China considering the intangible cost of traffic policies

et al. 2016

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“…We assume that the lottery luck can be estimated from Eq. (15) and that the auction price can be approximated as an offset k mega . The expression of PRIC estimation can be changed to…”

Section: Intangible Cost Of Purchase Restrictions (Pric)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Life-cycle private-cost-based competitiveness analysis of electric vehicles in China considering the intangible cost of traffic policies

et al. 2016

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“…The TIMES model, in the same way as any other similar energy system optimization tool, may be extended beyond the power sector towards to newly added sectors or towards more detail of up stream (fuel) processes. For instance, Zhang et al [22] extend the TIMES model to accommodate the transport sector with biofuel demand, Seixas et al [23] add electric vehicles, and Daly et al [24] incorporate additionally travel behavior through the cost of time. A model may be then further detailed in several ways.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Uncertainty stemming from the latter is most frequently addressed through a sensitivity analysis applied mainly for fuel prices [23], capital costs [27] or availability of technologies [28], or magnitude of the discount rates [29]. Nevertheless, the most common approach being followed in the literature (e.g., [16,22,25]) relies on one set of fuel prices and technology costs that are both exogenous parameters of the model.…”

Section: Literature Reviewmentioning

confidence: 99%

Impacts of Reclassified Brown Coal Reserves on the Energy System and Deep Decarbonisation Target in the Czech Republic

Rečka

Ščasný

2017

Energies

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Abstract:In 2015, a 24-year-long prohibition of coal mining within some territories in the North Bohemia coal basin was lifted and as a consequence mining a part of the brown coal reserves might well be resumed. This paper analyses the impacts of maintaining the ban versus three options for a less environmentally stringent policy on the Czech energy system; fuel-and technology-mix, the costs of generating energy, emissions and related external costs up to 2050. We find that overall the effect of lifting the ban, on coal usage, air pollutant emissions and hence externalities is rather small, up to 1-2% compared to the level of keeping the ban. The small difference in the impacts remains even if changes in the prices of fossil fuels and European Emission Allowances or different development in nuclear power usage are assumed. In fact, changing these assumptions will result in more pronounced differences in the impacts than the four policy options might deliver. Maintaining the ban would not achieve the European Energy Roadmap 2050 target and the newly adopted policy and the other two counter-environmental proposals would miss the 80% reduction target to an even greater degree. The environmental and external health costs attributable to emissions of local air pollutants stemming from power generation are in a range of €26-32 billion over the whole period and decline from about 0.5% of gross domestic product in 2015 to 0.1% in 2050.

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“…Many researchers have used alternative fuels such as bioethanol, alcohol or hydrogen [5][6][7][8][9][10][11][12][13], but these alternative fuels still have some problems such as unsustainability and difficulties with their storage systems [14,15]. Electric vehicles (EV) [16,17] and hybrid electric vehicles (HEV) [18,19]have the most potential as new technologies to address these issues [20][21][22][23][24]. People at the moment are giving great attention to EV and HEV due to the rising shortage of global oil supply and skyrocketing oil prices [25].…”

Section: Introductionmentioning

confidence: 99%

A comparison study of range-extended engines for electric vehicle based on vehicle simulator

Wahono¹,

Nur²,

Santoso³

et al. 2016

J. Mech, Eng, Sci.

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Electric vehicles have several disadvantages compared to conventional vehicles, such as their road ability and vehicle weight. To overcome these problems, range-extended engine technology has been developed. A range extender is a generator set that consists of an internal combustion engine coupled with a generator that operates when it is required. A vehicle simulator was deployed to compare the performance of three types of range-extended engines i.e. 1-cylinder 389 cc, 1-cylinder 494 cc and 2-cylinder 988 cc gasoline engines. The best type chosen was afterwards to be coupled with an electric vehicle. The performance data of each internal combustion engine was collected using experiment and simulation data. Two types of driving cycle, the Federal Test Procedure cycle and Artemis Rural Road cycle, were chosen to compare the optimum road ability of the vehicle. The result shows that the 2-cylinder 988 cc range-extended engine has the best performance, with an electrical motor energy consumption decrease of up to 83.26%, fuel consumption increase for the range-extended engine of up to 3.91 L/km, and a road ability increase of up to 232.79% compared to a pure electric vehicle.

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Assessing the cost-effectiveness of electric vehicles in European countries using integrated modeling

Cited by 57 publications

References 17 publications

Life-cycle private-cost-based competitiveness analysis of electric vehicles in China considering the intangible cost of traffic policies

Life-cycle private-cost-based competitiveness analysis of electric vehicles in China considering the intangible cost of traffic policies

Impacts of Reclassified Brown Coal Reserves on the Energy System and Deep Decarbonisation Target in the Czech Republic

A comparison study of range-extended engines for electric vehicle based on vehicle simulator

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