Emissions impacts of plug-in hybrid electric vehicle deployment on the U.S. western grid

Jansen, Karel H.; Brown, Tim; Samuelsen, G. S.

doi:10.1016/j.jpowsour.2010.03.013

Cited by 68 publications

(43 citation statements)

References 6 publications

(11 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Two particular charging profiles are considered -"business as usual" and "off-peak" charging -which have been used in previous studies [14,28]:. The "business as usual" scenario assumes that both workplace and home charging are available and no incentives are in place to shift the charging towards off-peak hours.…”

Section: Impacts Of Pevs In 2050mentioning

confidence: 99%

See 1 more Smart Citation

The impact of plug-in vehicles on greenhouse gas and criteria pollutants emissions in an urban air shed using a spatially and temporally resolved dispatch model

Razeghi

Brown

Samuelsen

2011

Journal of Power Sources

Self Cite

View full text Add to dashboard Cite

a b s t r a c tWith the introduction of plug-in vehicles (PEVs) into the light-duty vehicle fleet, the tail-pipe emissions of GHGs and criteria pollutants will be partly transferred to electricity generating units. To study the impact of PEVs on well-to-wheels emissions, the U.S. Western electrical grid serving the South Coast Air Basin (SoCAB) of California is modeled with both spatial and temporal resolution at the level of individual power plants. Electricity load is calculated and projected for future years, and the temporal electricity generation of each power plant within the SoCAB is modeled based on historical data and knowledge of electricity generation and dispatch.Due to the efficiency and pollutant controls governing the performance of the Western grid, the deployment of PEVs results in a daily reduction of greenhouse gases (GHGs) and tail-pipe emissions, especially in the critical morning and afternoon commute hours. The extent of improvement depends on charging scenarios, future grid mix, and the number and type of plug-in vehicles. In addition, charging PEVs using wind energy that would otherwise be curtailed can result in a substantial emissions reduction. Smart control will be required to manage PEV charging in order to mitigate renewable intermittencies and decrease emissions associated with peaking power production.

show abstract

Section: Impacts Of Pevs In 2050mentioning

confidence: 99%

“…an average grid mix [10,11], 2. the marginal generation technology (i.e., assuming that the electricity required to charge the vehicles is provided by one technology that comes online last) [12,13], or 3. the temporal dispatch of generation resources based on historical data [14].…”

Section: Introductionmentioning

confidence: 99%

The impact of plug-in vehicles on greenhouse gas and criteria pollutants emissions in an urban air shed using a spatially and temporally resolved dispatch model

Razeghi

Brown

Samuelsen

2011

Journal of Power Sources

Self Cite

View full text Add to dashboard Cite

show abstract

“…Firstly, the indirect emissions of EVs are sensitive to the generation mix of a particular regional power system. If the power generation of the system is dominated by coal-fired power plants, the emission advantage of EVs is not obvious [4]. Secondly, more investment is required in order to expand the capacities of generation, transmission, and distribution, due to the increasing charging requirements of EVs [5,6].…”

Section: Introductionmentioning

confidence: 99%

Effectiveness Evaluation for a Commercialized PV-Assisted Charging Station

Liu

Cheng

2017

Sustainability

View full text Add to dashboard Cite

Abstract:The Photovoltaic-assisted Charging Station (PVCS) is regarded as one of the most promising charging facilities for future electric vehicle (EV) energy supplementation. In this paper, the operation mode and profitability of a commercialized PVCS are analyzed under the energy policy of China. In order to evaluate the long-term effectiveness of using the PVCS to provide guidance for the investors of the stations, a set of evaluation indexes is introduced, including the quality of service, the environmental and economic benefits, and the impacts on the grid. Furthermore, an easily-achieved charging strategy which considers the quality of service and the self-consumption of PV energy is proposed. Finally, an effectiveness evaluation for different operational scenarios of the PVCS is completed, based on the actual statistical data. The simulation and evaluation results indicate that the PVCS has the potential to produce satisfactory environmental/economic benefits and to reduce the impacts and dependence of an EV's charging load on the grid.

show abstract

“…The indirect greenhouse gases emitted by the charging stations depend on the mix of the spinning reserve generation capacity of the electric power system. The spinning reserve is composed mainly by fossils-fuel power plants that are on-line but unloaded and can respond to the demand [2]. In order to accommodate the PEVs' charging demand and requirements, the capacity of this spinning reserve should be expanded [3].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of DC Microgrids for Electric Vehicle Charging Stations

Locment

Sechilariu

2015

Energies

View full text Add to dashboard Cite

This paper focuses on the evaluation of theoretical and numerical aspects related to an original DC microgrid power architecture for efficient charging of plug-in electric vehicles (PEVs). The proposed DC microgrid is based on photovoltaic array (PVA) generation, electrochemical storage, and grid connection; it is assumed that PEVs have a direct access to their DC charger input. As opposed to conventional power architecture designs, the PVA is coupled directly on the DC link without a static converter, which implies no DC voltage stabilization, increasing energy efficiency, and reducing control complexity. Based on a real-time rule-based algorithm, the proposed power management allows self-consumption according to PVA power production and storage constraints, and the public grid is seen only as back-up. The first phase of modeling aims to evaluate the main energy flows within the proposed DC microgrid architecture and to identify the control structure and the power management strategies. For this, an original model is obtained by applying the Energetic Macroscopic Representation formalism, which allows deducing the control design using Maximum Control Structure. The second phase of simulation is based on the numerical characterization of the DC microgrid components and the energy management strategies, which consider the power source requirements, charging times of different PEVs, electrochemical storage ageing, and grid power limitations for injection mode. The simulation results show the validity of the model and the feasibility of the proposed DC microgrid power architecture which presents good performance in terms of total efficiency and simplified control. OPEN ACCESSEnergies 2015, 8 4336

show abstract

Emissions impacts of plug-in hybrid electric vehicle deployment on the U.S. western grid

Cited by 68 publications

References 6 publications

The impact of plug-in vehicles on greenhouse gas and criteria pollutants emissions in an urban air shed using a spatially and temporally resolved dispatch model

The impact of plug-in vehicles on greenhouse gas and criteria pollutants emissions in an urban air shed using a spatially and temporally resolved dispatch model

Effectiveness Evaluation for a Commercialized PV-Assisted Charging Station

Modeling and Simulation of DC Microgrids for Electric Vehicle Charging Stations

Contact Info

Product

Resources

About