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Sector Coupling through Vehicle to Grid: A Case Study for Electric Vehicles and Households in Berlin, Germany.
- Source :
- World Electric Vehicle Journal; Mar2023, Vol. 14 Issue 3, p77, 19p
- Publication Year :
- 2023
-
Abstract
- A key factor in limiting global warming is the conversion of conventional electricity generation to renewable energy sources. However, a major obstacle is that renewable energy generation and energy demand often do not coincide in time, and energy must therefore be stored temporarily. Vehicle to grid (V2G) can be used to store excess renewable energy in battery electric vehicles (BEVs) and feed it back into the electric grid when needed. For effective V2G operation, the grid may have to be expanded, as the energy needs to be transported to BEVs. However, the grid should only be strengthened where renewable energy demand exceeds current grid capacity due to high grid expansion costs. This requires a method that determines the spatial distribution of V2G potential at a high resolution. Since such a method has not yet been reported in the existing literature, and so is developed in this paper. The method is demonstrated for the city of Berlin and its 448 sub-districts. For each sub-district, the method allows determining the percentage of residential and BEV energy demand that can be met by renewables if V2G is deployed, and answers the question of whether a full renewable supply is possible. The results show that BEVs can be effectively used as intermediate storage for renewable energy. If 30% of the BEVs participate in V2G, more than 99% of the energy demand of households and BEVs in Berlin can be covered by renewables on certain days. On the other hand, V2G deployment increases the average peak load in the districts by up to 100% and results in a nearly double load on vehicle batteries. High shares of renewable energy can be observed in districts with a high degree of motorization, which are predominantly found in the outskirts of the city. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20326653
- Volume :
- 14
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- World Electric Vehicle Journal
- Publication Type :
- Academic Journal
- Accession number :
- 162835309
- Full Text :
- https://doi.org/10.3390/wevj14030077