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A master's thesis from Aalborg University
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Electric Vehicles; Will they break the future Danish electricity grid?

Author

Term

4. Term

Publication year

2018

Submitted on

Pages

49

Abstract

Denne afhandling bruger Choice Awareness Theory til at skitsere forskellige valg i lyset af den forventede stigning i elforbruget fra elbiler. Med en specialbygget Excel-model simuleres flere scenarier for, hvor mange elbiler husholdninger kan få, og hvad det betyder for Danmarks elnet: fordelingsnettet (det lokale elnet) og transmissionsnettet (det landsdækkende højspændingsnet). Formålet er at vurdere, hvad der kan ske med nettene, og om de risikerer overbelastning. Resultaterne viser, at begge net er mere robuste end forventet; men fordelingsnettet er dårligt rustet til meget store mængder elbiler, mens transmissionsnettet næppe bryder sammen som følge af flere elbiler. Modellen kan forbedres ved at inddrage kommerciel transport og økonomiske forhold for at øge præcisionen. Potentielle negative konsekvenser kan afbødes ved at forberede og opgradere de relevante net til øget efterspørgsel.

This thesis applies Choice Awareness Theory to present different options in light of the expected rise in electricity demand from electric vehicles (EVs). Using a custom Excel model, it simulates multiple scenarios of household EV adoption and examines their effects on Denmark’s electricity system: the distribution grid (local networks) and the transmission grid (the national high-voltage backbone). The aim is to assess what could happen to these grids and whether they might face overload. The findings indicate both grids are more robust than expected; however, the distribution grid is poorly equipped to handle very large numbers of EVs, while the transmission grid is unlikely to fail because of EV growth. The model’s accuracy could be improved by including commercial transport and financial considerations. Any negative impacts can be mitigated by preparing and upgrading the relevant grids for higher demand.

[This abstract was generated with the help of AI]