Forecasting Energy Consumption of Electric Vehicles

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F23%3A10252814" target="_blank" >RIV/61989100:27730/23:10252814 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/23:10252814

Výsledek na webu

<a href="https://ieeexplore.ieee.org/abstract/document/10175761" target="_blank" >https://ieeexplore.ieee.org/abstract/document/10175761</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/GPECOM58364.2023.10175761" target="_blank" >10.1109/GPECOM58364.2023.10175761</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Forecasting Energy Consumption of Electric Vehicles

Popis výsledku v původním jazyce

To reduce exhaust emissions that contribute to climate change, many countries aim to replace internal combustion engines with electric vehicles (EVs). As this change takes place, it is important to understand the potential impacts of EVs on the distribution grid. There must be a plan for grid flexibility quickly given the additional grid costs and concerns about how these costs can be reduced. Previous estimates are based on inconsistent surveys or consist of small, non-representative samples of households with electric vehicle meters. In this study, a scaled estimation of electric vehicle home charging in Turkey is presented. Fixed effects methods are used for panel data to estimate the effects of electric vehicle adoption on electric load. The average electric vehicle increases the overall household load by 3.1 kWh per day (the majority is concentrated during the night-time hours), well below the amount assumed by network regulators. With the results implying that electric vehicles travel less than expected on electric power, the issue of how to integrate electric vehicles into the energy system is a major concern as their uncontrolled charging could adversely affect the functioning of distribution grids.

Název v anglickém jazyce

Forecasting Energy Consumption of Electric Vehicles

Popis výsledku anglicky

To reduce exhaust emissions that contribute to climate change, many countries aim to replace internal combustion engines with electric vehicles (EVs). As this change takes place, it is important to understand the potential impacts of EVs on the distribution grid. There must be a plan for grid flexibility quickly given the additional grid costs and concerns about how these costs can be reduced. Previous estimates are based on inconsistent surveys or consist of small, non-representative samples of households with electric vehicle meters. In this study, a scaled estimation of electric vehicle home charging in Turkey is presented. Fixed effects methods are used for panel data to estimate the effects of electric vehicle adoption on electric load. The average electric vehicle increases the overall household load by 3.1 kWh per day (the majority is concentrated during the night-time hours), well below the amount assumed by network regulators. With the results implying that electric vehicles travel less than expected on electric power, the issue of how to integrate electric vehicles into the energy system is a major concern as their uncontrolled charging could adversely affect the functioning of distribution grids.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20200 - Electrical engineering, Electronic engineering, Information engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2023 IEEE 5th Global Power, Energy and Communication Conference, IEEE GPECOM2023 : proceedings : Cappadocia, Turkey, 14-16 June, 2023

ISBN

979-8-3503-0199-1

ISSN

2832-7667

e-ISSN

2832-7675

Počet stran výsledku

5

Strana od-do

120-124

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

Kappadokie

Datum konání akce

14. 6. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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