Abstract
Electric vehicles (EV) do not emit tailpipe exhaust fumes in the same manner as internal combustion engine vehicles. Optimal benefits can only be achieved, if EVS are deployed effectively, so that the tailpipe emissions are not substituted by additional emissions in the electricity sector. This paper examines the potential contributions that Plug in Hybrid Electric Vehicles can make in reducing carbon dioxide. The paper presents the results of the generation expansion model for Northern Ireland and the Republic of Ireland built using the dynamic programming based long term generation expansion planning tool called the Wien Automatic System Planning IV tool. The model optimizes power dispatch using hourly electricity demand curves for each year up to 2020, while incorporating generator characteristics and certain operational requirements such as energy not served and loss of load probability while satisfying constraints on environmental emissions, fuel availability and generator operational and maintenance costs. In order to simulate the effect of PHEV, two distinct charging scenarios are applied based on a peak tariff and an off peak tariff. The importance and influence of the charging regime on the amount of energy used and gaseous emissions displaced is determined and discussed.
| Original language | English |
|---|---|
| Title of host publication | 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010 - Lille, France Duration: 1 Sep 2010 → 3 Sep 2010 |
Publication series
| Name | 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010 |
|---|
Conference
| Conference | 2010 IEEE Vehicle Power and Propulsion Conference, VPPC 2010 |
|---|---|
| Country/Territory | France |
| City | Lille |
| Period | 1/09/10 → 3/09/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- Electric vehicles
- Electricity system
- Gaseous emissions
- Modeling
- Smart grid
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